Systems and methods for estimating and controlling liquid level using periodic shut-ins

Information

  • Patent Grant
  • 11261725
  • Patent Number
    11,261,725
  • Date Filed
    Friday, October 19, 2018
    6 years ago
  • Date Issued
    Tuesday, March 1, 2022
    2 years ago
Abstract
Methods and systems for determining a liquid level in a formation between a horizontal segment of an injection wellbore and a horizontal segment of a production wellbore are disclosed. Under shut-in conditions, local temperatures and pressures are determined for each of a plurality of inflow zones along the production wellbore segment. Local profile values are determined based on local shut-in subcool values and local shut-in liquid levels. After flow has resumed, a local liquid level is determined based on the local operating subcool value and the local profile value for that inflow zone. The local profile values may be updated during subsequent shut-ins.
Description
CROSS-REFERENCE TO RELATED APPLICATION

This application claims priority from Canadian Patent Application 2,983,541 filed Oct. 24, 2017 entitled SYSTEMS AND METHODS FOR DYNAMIC LIQUID LEVEL MONITORING AND CONTROL, and Canadian Patent Application 3,020,827 filed Oct. 15, 2018 entitled SYSTEMS AND METHODS FOR ESTIMATING AND CONTROLLING LIQUID LEVEL USING PERIODIC SHUT-INS, the entirety of which are incorporated by reference herein.


FIELD

This disclosure relates generally to monitoring liquid levels during petroleum extraction, and more specifically to systems and methods for utilizing distributed pressure and temperature measurements taken during shut-in conditions to determine local profile values, and to subsequently use the determined profile values and distributed temperature measurements taken along the production wellbore during operating conditions to determine the liquid level in the formation above the horizontal section.


BACKGROUND

Generally speaking, gravity drainage refers to a recovery process in which gravity is the primary force used to recover heavy oil and bitumen from a reservoir. An example of a gravity drainage process is Steam Assisted Gravity Drainage (SAGD). In a typical SAGD process, two horizontal wellbores are drilled into an oil-containing reservoir. The wellbores are positioned generally parallel to each other and spaced apart vertically, with one wellbore being positioned above the other wellbore, typically by about 4 to 6 meters. During production, high pressure steam is injected into the upper wellbore (also referred to as the injector) to heat the oil in the surrounding formation, thereby reducing its viscosity such that it can flow through the formation under the force of gravity. The heated oil—along with any condensed steam (i.e. water)—drains into the lower wellbore (also referred to as the producer), and the collected oil and water are pumped to the surface.


Solvent Assisted—Steam Assisted Gravity Drainage (SA-SAGD) and Vapor Assisted Petroleum Extraction (VAPEX) are examples of other gravity drainage recovery processes for producing heavy oil. SA-SAGD and VAPEX are similar to SAGD, but instead of (or in addition to) steam, one or more vaporized solvents (e.g. ethane, propane) are injected to reduce the viscosity of oil in the surrounding formation.


SUMMARY

The following introduction is provided to introduce the reader to the more detailed discussion to follow. The introduction is not intended to limit or define any claimed or as yet unclaimed invention. One or more inventions may reside in any combination or sub-combination of the elements or process steps disclosed in any part of this document including its claims and figures.


In accordance with one broad aspect of this disclosure, there is provided a method for determining a liquid level in a formation between a horizontal segment of an injection wellbore and a horizontal segment of a production wellbore, the method comprising: shutting-in the production wellbore; shutting-in the injection wellbore; measuring, using at least one first temperature sensor positioned in the production wellbore segment, a local shut-in temperature for each of a plurality of inflow zones between a heel and a toe of the production wellbore segment; measuring, using at least one first pressure sensor positioned in the production wellbore segment, a local shut-in pressure for each of the plurality of inflow zones; determining, for each of the plurality of inflow zones: a local shut-in liquid level, based on the measured shut-in pressure at that inflow zone and a shut-in pressure for an injection zone horizontally aligned with that inflow zone; a local shut-in subcool value, based on the measured shut-in temperature at that inflow zone; and a local profile value, based on the local shut-in subcool value for that inflow zone and the local shut-in liquid level for that inflow zone; resuming flow in the production wellbore; resuming flow in the injection wellbore; after resuming flow in the production and injection wellbores, for at least one of the plurality of inflow zones: measuring, using the at least one first temperature sensor positioned in the production wellbore, a local operating temperature for that inflow zone; determining a local operating subcool value, based on the measured operating temperature at that inflow zone; determining a local operating liquid level, based on the local operating subcool value for that inflow zone and the local profile value for that inflow zone.


In some embodiments, a local operating liquid level is determined for each of the plurality of inflow zones.


In some embodiments, the determined local shut-in subcool value is based on a local saturation temperature of an injection fluid at the measured shut-in pressure at that inflow zone and the measured shut-in temperature at that inflow zone.


In some embodiments, the method further comprises, after resuming flow in the production and injection wellbores, measuring, using the at least one first pressure sensor, a local operating pressure for that inflow zone, and the determined local operating subcool value is based on a local saturation temperature of the injection fluid at the measured operating pressure at that inflow zone and the measured operating temperature at that inflow zone.


In some embodiments, the determined local operating liquid level is based on the local shut-in liquid level for that inflow zone, a difference between the local operating subcool value for that inflow zone and the local shut-in subcool value for that inflow zone, and the local profile value for that inflow zone.


In some embodiments, the local shut-in temperature for each of the plurality of injection zones is obtained using at least one second temperature sensor positioned in the injection wellbore.


In some embodiments, the local shut-in pressure for each of the plurality of injection zones is obtained using at least one second pressure sensor positioned in the injection wellbore.


In some embodiments, the method further comprises: after determining the local operating liquid level for the at least one of the plurality of inflow zones: comparing the determined local operating liquid level for the at least one of the plurality of inflow zones to a target liquid level; in response to the determined local operating liquid level for the at least one of the plurality of inflow zones being greater than the target liquid level, performing at least one of: increasing a pump rate of an artificial lift device to increase the total flowrate for fluids exiting the production wellbore segment; increasing an open area of at least one of the plurality of inflow zones; and unblocking the open area of at least one of the plurality of inflow zones; and in response to the target liquid level being greater than the determined local operating liquid level for the at least one of the plurality of production zones, performing at least one of: decreasing the pump rate of the artificial lift device to decrease the total flowrate for fluids exiting the production wellbore segment; decreasing the open area of at least one of the plurality of inflow zones; and blocking the open area of at least one of the plurality of inflow zones.


In some embodiments, in response to the determined local operating liquid level for at least one of the plurality of inflow zones being greater than the target liquid level, the method further comprises increasing an injection rate of a fluid injector to increase a total flow rate of fluids into the injector wellbore, in order to maintain pressure in a steam chamber.


In some embodiments, in response to the determined local operating liquid level for at least one of the plurality of inflow zones being greater than the target liquid level, the method further comprises decreasing an injection rate of a fluid injector to decrease a total flow rate of fluids into the injector wellbore, in order to decrease a bitumen drainage rate in a steam chamber.


In some embodiments, in response to the target liquid level being greater than the determined local operating liquid level for at least one of the plurality of inflow zones, the method further comprises decreasing an injection rate of a fluid injector to decrease a total flow rate of fluids into the injector wellbore, in order to maintain pressure in a steam chamber.


In some embodiments, in response to the target liquid level being greater than the determined local operating liquid level for at least one of the plurality of inflow zones, the method further comprises increasing an injection rate of a fluid injector to increase a total flow rate of fluids into the injector wellbore, in order to increase a bitumen drainage rate in a steam chamber.


In some embodiments, the method further comprises: after determining the local operating liquid level for the at least one of the plurality of inflow zones: shutting-in the production and injection wellbores a second time; determining updated local profile values for each of the plurality of inflow zones; resuming flow in the production and injection wellbores a second time; after resuming flow in the production and injection wellbores the second time, for at least one of the plurality of inflow zones: determining an updated local operating liquid level, based on an updated local shut-in liquid level for that inflow zone, a difference between an updated local operating subcool value for that inflow zone and an updated local shut-in subcool value for that inflow zone, and the updated local profile value for that inflow zone.


In some embodiments, the method further comprises: after determining the local profile values during a first shut-in period: determining updated local profile values during a second shut-in period; determining, for at least one of the plurality of inflow zones, a profile adjustment factor based on the local profile value for that inflow zone, the updated local profile value for that inflow zone, and a duration between the first and second shut-in periods; and after resuming flow in the production and injection wellbores following the second shut-in period, for at least one of the plurality of inflow zones: determining a local operating liquid level, based on the local shut-in liquid level for that inflow zone, a difference between the local operating subcool value for that inflow zone and the local shut-in subcool value for that inflow zone, the updated local profile value for that inflow zone, the profile adjustment factor for that inflow zone, and a duration between the second shut-in period and a period during which the local operating temperature and pressure were measured when determining the subcool value for that inflow zone.


In some embodiments, the method further comprises: after shutting in the injection wellbore, and before determining the local shut-in liquid levels: performing a gas purge of the injector wellbore.


In accordance with another broad aspect, there is provided a system for determining a liquid level in a formation between a horizontal segment of an injection wellbore and a horizontal segment of a production wellbore, the system comprising: at least one first temperature sensor positioned in the production wellbore segment to measure a local temperature for each of a plurality of inflow zones between a heel and a toe of the production wellbore segment; at least one first pressure sensor positioned in the production wellbore segment to measure a local pressure for each of the plurality of inflow zones; one or more processors operatively coupled to the at least one first temperature sensor and the at least one first pressure sensor, the one or more processors, collectively, configured to: during a period in which the production wellbore and the injection wellbore are shut-in: determine, for each of the plurality of inflow zones: a local shut-in liquid level, based on a measured shut-in pressure at that inflow zone and a shut-in pressure for an injection zone horizontally aligned with that inflow zone; a local shut-in subcool value, based on a measured shut-in temperature at that inflow zone; and a local profile value, based on the local shut-in subcool value for that inflow zone and the local shut-in liquid level for that inflow zone; and after resuming flow in the production and injection wellbores: determine, for at least one of the plurality of inflow zones: a local operating subcool value, based on a measured operating temperature at that inflow zone; and a local operating liquid level, based on the local operating subcool value for that inflow zone and the local profile value for that inflow zone.


In some embodiments, the one or more processors are configured to determine the local shut-in subcool value for each of the plurality of inflow zones based on the measured shut-in temperature at that inflow zone and a local saturation temperature of an injection fluid at the measured shut-in pressure at that inflow zone.


In some embodiments, the one or more processors are configured to determine the local operating subcool value for the at least one of the plurality of inflow zones based on the measured operating temperature at that inflow zone and a local saturation temperature of the injection fluid at a measured operating pressure at that inflow zone.


In some embodiments, the one or more processors are configured to determine the local operating liquid level based on the local shut-in liquid level for that inflow zone, a difference between the local operating subcool value for that inflow zone and the local shut-in subcool value for that inflow zone, and the local profile value for that inflow zone.


In some embodiments, the at least one first temperature sensor comprises a thermocouple or a set of thermocouples.


In some embodiments, the at least one first temperature sensor comprises a distributed temperature sensor (DTS).


In some embodiments, the system further comprises at least one second temperature sensor positioned in the injection wellbore to measure a local temperature for each of a plurality of injection zones between a heel and a toe of the injection wellbore segment.


In some embodiments, the at least one first pressure sensor comprises a distributed pressure sensing system.


In some embodiments, the at least one first pressure sensor is positioned exterior of a production string located in the production wellbore segment.


In some embodiments, the at least one first pressure sensor comprises fewer discrete pressure sensors than the number of inflow zones in the plurality of inflow zones, and wherein, for inflow zones without a discrete pressure sensor positioned therein, the one or more processors are configured to determine local pressures for those inflow zones using a model based on pressures from discrete pressure sensors positioned in other inflow zones.


In some embodiments, the system further comprises at least one second pressure sensor positioned in the injection wellbore to measure a local pressure for each of the plurality of injection zones.


In some embodiments, the at least one second pressure sensor comprises fewer discrete pressure sensors than the number of injection zones in the plurality of injection zones, and wherein, for injection zones without a discrete pressure sensor positioned therein, the one or more processors are configured to determine local pressures for those injection zones using a model based on pressures from discrete pressure sensors positioned in other injection zones.


In some embodiments, the plurality of inflow zones comprises at least five inflow zones.


In some embodiments, the system further comprises a display device operatively coupled to the one or more processors, and the one or more processors are further configured to cause the display device to display a graphical representation of the determined local operating liquid levels for the at least one of the plurality of inflow zones.


In some embodiments, the graphical representation of the determined local operating liquid levels for the at least one of the plurality of inflow zones comprises a representation of local operating liquid levels for at least ten percent of a length between the heel and the toe of the production wellbore segment.


It will be appreciated by a person skilled in the art that a method or apparatus disclosed herein may embody any one or more of the features contained herein and that the features may be used in any particular combination or sub-combination.


These and other aspects and features of various embodiments will be described in greater detail below.





BRIEF DESCRIPTION OF THE DRAWINGS

For a better understanding of the described embodiments and to show more clearly how they may be carried into effect, reference will now be made, by way of example, to the accompanying drawings in which:



FIG. 1 is a schematic axial cross-section view of a pair of horizontal wellbores through a formation being used in a typical gravity drainage recovery process;



FIG. 2 is a schematic longitudinal cross-section view of the horizontal wellbores of FIG. 1, with a first liquid level and a first estimated liquid level;



FIG. 3 is the schematic longitudinal cross-section view of FIG. 2, with a second liquid level and a second estimated liquid level;



FIG. 4 is a schematic longitudinal cross-section view of a pair of horizontal wellbores in accordance with one example embodiment;



FIG. 5 is a schematic longitudinal cross-section view of a pair of horizontal wellbores in accordance with another example embodiment;



FIG. 6 is a schematic longitudinal cross-section view of a pair of horizontal wellbores in accordance with another example embodiment;



FIG. 7 is a schematic longitudinal cross-section view of a pair of horizontal wellbores in accordance with another example embodiment;



FIG. 8 is a simplified process flow diagram for a method for determining a liquid level in a formation between a horizontal segment of an injection wellbore and a horizontal segment of a production wellbore in accordance with one embodiment;



FIG. 9 is a schematic illustration of an estimated liquid level between a pair of horizontal wellbores;



FIG. 10 is a plot of simulation results for local liquid level height as a function of pressure during a simulated SAGD operation;



FIG. 11 is a plot of simulation results for local liquid level height as a function of local subcool during a simulated SAGD operation; and



FIG. 12 is a plot of simulation results for a local profile value as a function of time during a simulated SAGD operation.





The drawings included herewith are for illustrating various examples of articles, methods, and apparatuses of the teaching of the present specification and are not intended to limit the scope of what is taught in any way.


DETAILED DESCRIPTION

Various apparatuses, methods and compositions are described below to provide an example of an embodiment of each claimed invention. No embodiment described below limits any claimed invention and any claimed invention may cover apparatuses and methods that differ from those described below. The claimed inventions are not limited to apparatuses, methods and compositions having all of the features of any one apparatus, method or composition described below or to features common to multiple or all of the apparatuses, methods or compositions described below. It is possible that an apparatus, method or composition described below is not an embodiment of any claimed invention. Any invention disclosed in an apparatus, method or composition described below that is not claimed in this document may be the subject matter of another protective instrument, for example, a continuing patent application, and the applicant(s), inventor(s) and/or owner(s) do not intend to abandon, disclaim, or dedicate to the public any such invention by its disclosure in this document.


Furthermore, it will be appreciated that for simplicity and clarity of illustration, where considered appropriate, reference numerals may be repeated among the figures to indicate corresponding or analogous elements. In addition, numerous specific details are set forth in order to provide a thorough understanding of the example embodiments described herein. However, it will be understood by those of ordinary skill in the art that the example embodiments described herein may be practiced without these specific details. In other instances, well-known methods, procedures, and components have not been described in detail so as not to obscure the example embodiments described herein. Also, the description is not to be considered as limiting the scope of the example embodiments described herein.



FIG. 1 illustrates a schematic axial cross-section of a typical SAGD recovery process. A pair of parallel horizontal wellbore segments 100, 200 are provided in a formation or reservoir 10 and are spaced apart vertically by a distance d. Steam is pumped down from the surface and along the upper wellbore 100, where it passes into the formation 10 via one of a number of apertures 110 (e.g. screens, perforations) provided in the wellbore casing. Upper wellbore 100 may also be referred to as an injector wellbore or simply an injector. As steam is injected, thermal energy from the steam is transferred to the formation. This thermal energy increases the temperature of petroleum products present in the formation (e.g. heavy crude oil or bitumen), which reduces their viscosity and allows them to flow downwards under the influence of gravity towards the lower wellbore 200, where it passes into the wellbore 200 via one of a number of apertures 210 (e.g. screens, perforations) provided in the wellbore casing. Lower wellbore 200 may also be referred to as a producer wellbore or simply a producer.


As the steam initially enters the reservoir, a ‘steam chamber’ 20 is formed. The boundary or wall 22 of the steam chamber represents a boundary between fluids in a gaseous state (including injected steam—as indicated by arrows 12—and any gasses present in the formation) and fluids in a liquid state (including heavy crude oil or bitumen and condensed steam). As steam injection continues, thermal energy is released from the steam as it condenses against the wall 22 of the steam chamber. Heated petroleum products and condensate (as indicated by arrows 14) flow along or adjacent to the wall 22, and down into producer wellbore 200. Within the steam chamber, fluids in a gaseous state tend to rise towards the top of the chamber 24 due to their relatively low density, while liquids tend to collect at the bottom of the steam chamber 26. In the illustrated example, the liquid level at the bottom of the steam chamber is a distance h above the producer wellbore 200.


While during normal operation lower wellbore 200 acts as a producer (i.e. fluid is extracted from the formation via wellbore 200), it will be appreciated that wellbore 200 may alternately act as an injector. For example, during start-up of an SAGD process steam may be pumped into both wellbores 100 and 200 to initially heat the formation proximate both the upper and lower wellbores, following which wellbore 200 may be transitioned to a producer by discontinuing the steam flow into this wellbore.



FIG. 2 illustrates a schematic longitudinal cross-section of a typical SAGD recovery process. Steam is pumped down from the surface through the vertical section 102 and the heel 104 of the injector wellbore 100, and along the horizontal segment 106 towards the toe 108. A number of outflow locations 110 (e.g. screens, perforations, or other apertures) are provided along the injector wellbore casing to allow the steam to access the formation. Heated petroleum products and condensate from the injected fluids flow down through the formation 10 and into producer wellbore 200 through one of a number of inflow locations 210 (e.g. screens, perforations, or other apertures) provided along the horizontal segment 206 of the producer wellbore casing between the heel 204 of the producer wellbore and the toe 208. One or more artificial lift devices 300 (e.g. electrical submersible pumps) is used to pump fluids collected along the horizontal segment 206 of the producer wellbore 200 up to the surface through the vertical section 202.


In the illustrated example, the line 50 represents the liquid level h in the formation (e.g. the level of the liquid at the bottom of the steam chamber) above the producer wellbore 200 along its horizontal segment. As shown, the liquid level h typically varies along the length of the horizontal wellbore segment due to local differences in one or more parameters, such as porosity of the formation, temperature and pressure levels, composition of petroleum products, etc.


In the example illustrated in FIG. 2, the liquid level h is above the producer wellbore at all points along the horizontal segment 206. Accordingly, the fluids entering the producer wellbore through apertures 210 are in their liquid phase. This is typically considered to be a preferable operating condition, as artificial lift devices (e.g. a rod pump or an electric submersible pump) are generally much more efficient when pumping liquids than when pumping a mix of liquid and gas. For example, pumping fluids in a gas phase may be less efficient than pumping liquids, resulting in increased energy expenditures to extract the fluids to the surface. Also, pumping gasses may lead to increased wear and/or maintenance requirements for the lift device, and may result in a reduced operating lifespan.


In a typical SAGD process, the liquid level h is approximated by comparing the temperature of the injected steam (e.g. the saturation temperature or boiling point of water at the operating pressure of the injector) to the temperature of the fluids exiting the horizontal segment of the producer wellbore 206. For example, a temperature sensor 320 may be provided proximate the heel 204 of the wellbore 200 and/or proximate the artificial lift device 300 to obtain a temperature value for the fluids being produced. The difference between these temperatures is often referred to as the ‘subcool’. (It will be appreciated that the term ‘subcool’ may have one or more alternative definitions, and may be used in other contexts to refer to similar, or unrelated, concepts. For example, some operators may determine a distributed temperature and define a ‘reservoir subcool’ as the local difference between the reservoir temperature and the distributed temperature.) A higher subcool (i.e. a greater difference in injection and production temperatures) is considered indicative of a higher liquid level in the formation, while a lower subcool is considered indicative of a lower liquid level. Put another way, the subcool is used as a proxy for the liquid level. In FIG. 2, line 60 illustrates an example approximation of a liquid level h′ based on the subcool.


If the subcool is low, indicating a lower liquid level, the pump rate of the artificial lift device 300 may be reduced to decrease the flow rate out of the horizontal segment. Reducing the pump rate may also result in increased pressure along the horizontal segment 206 of the producer wellbore 200 as a result of increasing liquid level in the reservoir and reduced frictional pressure drop within the well. A reduction in flowrate and/or increase in pressure for the producer can be expected to result in an increased liquid level in the formation, and accordingly a reduced risk of steam coning.


Conversely, if the subcool is high, this may result in an increased potential to ‘flood’ the injector wellbore. Also, a higher subcool (and the attendant higher liquid level) may indicate a less than optimum production rate. Also, a high subcool may result in reduced production, as fluids (e.g. heavy oil or bitumen) entering the producer at lower temperatures would be expected to have a higher viscosity and lower mobility. Accordingly, if the subcool is high the pump rate of the artificial lift device 300 may be increased to increase the flow rate out of the horizontal segment, and/or to reduce the pressure along the horizontal segment 206 of the producer wellbore 200. An increase in flowrate and/or decrease in pressure for the producer can be expected to increase production from the formation, which may be desirable given a reduced risk of steam coning due to the relatively high liquid level.


While the subcool can be used to approximate the liquid level, this estimation may have one or more limitations. For example, the single temperature value for the fluids being produced is an average temperature for fluids along the entire wellbore segment, and therefore may fail to capture local temperature variations. Thus, the liquid level is assumed to be approximately constant along the entire length of the horizontal segment. This can make it difficult to detect steam coning or other undesirable conditions.


For example, FIG. 3 illustrates another schematic longitudinal cross-section of a SAGD recovery process. In this example, the liquid level h is above the producer wellbore at inflow locations 210a-210d and 210h-210q along the horizontal segment 206, but it is below the producer wellbore at inflow locations 210e-210g. Accordingly, while fluids entering the producer wellbore at inflow locations 210a-210d and 210h-210q are in their liquid phase, at least some of the fluids entering the producer wellbore at inflow locations 210e-210g are in a gaseous phase. In other words, some of the steam injected from the injector wellbore effectively ‘short circuits’ through the formation and passes into the producer. This situation may be characterized as ‘steam coning’, and is typically considered to be a less preferable operating condition. For example, as a result of this steam ‘bypass’, less thermal energy may be transferred to the formation.


In the example illustrated in FIG. 3, fluid entering the producer at inflow locations 210e-210g will comingle with fluid entering the producer at inflow locations 210a-210d and 210h-210q before a temperature is sensed by the temperature sensor 320. This comingling may mute any local temperature variance, as the temperature sensor 320 only detects an average temperature of the producer fluid. Accordingly, local inflow temperatures indicative of steam coning may not be detected based on the subcool. Instead, steam coning may be detected based on an increase in the percentage of water (or other injected fluids) in the produced fluids, e.g. when sampled at the surface. Alternatively, steam coning may be detected when the inflow to the artificial lift device 300 contains fluids in both liquid and gaseous phases, e.g. as indicated by the pump registering a fault condition. Alternatively, thermocouples or DTS fiber may provide direct detection methods for steam coning, as a local temperature value above a predetermined threshold may be indicative of steam coning at that location (although knowing a location of steam coning typically does not provide sufficient information to predict a liquid level away from the coning point). Each of these detection methods may be characterized as reactive detection, in that steam coning is only detected after it has occurred.



FIG. 4 illustrates a schematic longitudinal cross-section of a pair of horizontal wellbores that are provided with sensors for measuring temperature and pressure at a number of inflow locations 210a-210g distributed along the length of the horizontal segment 206 of the producer 200. While 17 inflow locations are shown, it will be appreciated that more or fewer inflow locations may be provided in a horizontal segment 206. In this example, each inflow location 210 is also considered to be an inflow zone 215. As discussed further below, by obtaining pressure and temperature data for a number of zones along the horizontal segment 206 of the producer wellbore, this may allow a more accurate and/or more detailed model of the reservoir conditions surrounding the wellbores, including the liquid level h above the producer, to be developed. A more accurate model of the liquid level h may allow for improved control of production during a SAGD process.


In the example illustrated in FIG. 4, each inflow location 210 (and zone 215) to the producer has an associated temperature sensor 220. Each temperature sensor 220a-220g may be a discrete unit, such as a thermocouple, resistive thermal device (RTD), and the like. Alternatively, a distributed temperature sensor (DTS) may be used to obtain temperature data for each inflow location 210a-210q. For example, a sensor based on Optical Time Domain Reflectometry (OTDR) or Optical Frequency Domain Reflectometry (OFDR) may be used. For each inflow location, the local temperature in the reservoir adjacent the inflow location Tres_inflow may be assumed as being equal to a temperature value Tinflow measured by a temperature sensor 220, or may be based on a measured temperature value Tinflow subject to an adjustment factor (e.g. to compensate for a temperature drop across the reservoir/wellbore interface).


Also, in the example illustrated in FIG. 4 each inflow location 210 (and zone 215) has an associated pressure sensor 230a-230q. Each pressure sensor may be a discrete unit, such as a quartz-based sensor, bubble tube, electromagnetic resonating element (ERE), electrical resonating diaphragm, and the like. Alternatively, a distributed pressure sensing system incorporating one or more distributed Fiber Bragg Grating pressure sensors may be used to obtain pressure data for each inflow location 210a-210q. Alternatively, multiple individual Fabry Perot gauges connected to the same fiber optic trunkline may be used to obtain pressure data for each inflow location 210a-210q or inflow zone 215a-215q. For example, a sensor system such as a SageWatch™ Subsurface Surveillance System, available from SageRider, Inc., or the like may be used. For each inflow location, the local pressure in the reservoir adjacent the inflow location Pres_inflow may be assumed as being equal to a pressure value Pinflow measured by a pressure sensor 230, or may be based on a measured pressure value Pinflow subject to an adjustment factor (e.g. to compensate for a pressure drop across the reservoir/wellbore interface).


Preferably, one or more of the pressure sensors 230 are connected directly to the formation. For example, they may be positioned exterior of a production string located in the production wellbore segment. Positioning one or more of the pressure sensors 230 in direct connection with the reservoir may improve the accuracy of the local reservoir pressure measurements. For example, local pressure measurements taken using sensors positioned in a pipe (e.g. inside a production string) may be impacted by pressure equilibration upstream and downstream due to fluid flow in the pipe. Also, in areas where there is active pressure communication (e.g. near an inflow location or an inflow control device) pressure measurements taken using sensors positioned inside a production string may be impacted by the upstream and downstream pressures in the pipe. For example, there may be a drop in measured pressure during a period of transient flow following a shut-in while the pressure equilibrates.


Optionally, pressure sensors 230 connected directly to the formation (e.g. positioned exterior of a production string located in the production wellbore segment) may be positioned approximately midway between adjacent inflow locations and/or inflow control devices along the production wellbore segment. In such locations, the influence of pressure communication within the well fluids may be reduced or preferably minimized, and thus improve and preferably maximize the correlation between the pressure measurements recorded using the pressure sensors 230 and the actual reservoir pressure.


In some examples, a distributed data acquisition system may include one or more multi-function sensors capable of obtaining both pressure and temperature data at each inflow location 210a-210q and/or for each inflow zone 215a-215q. Accordingly, the same physical sensor apparatus may function as both a pressure sensor and as a temperature sensor to obtain pressure and temperature data for one or more locations along the wellbore. For example, sensor systems such as CT-MORE, available from Core Laboratories of Houston, Tex., or CanePT™ Optical Pressure and Temperature Sensor, available from Weatherford International, or the like may be used.


In the example illustrated in FIG. 4, each inflow zone 215 is shown with a single aperture 210 to the producer. Alternatively, some or all of the inflow zones may include more than one discrete aperture through which fluids can enter the producer from the formation. FIG. 5 illustrates a schematic longitudinal cross-section of a pair of horizontal wellbores that are provided with sensors for measuring temperature and pressure at a number of inflow zones 215a-215f distributed along the length of the horizontal segment 206 of the producer 200. In the illustrated example, each inflow zone 215a-215e includes three apertures 210 through which fluid can enter the producer from the formation, and inflow zone 210f includes two such apertures. It will be appreciated that each zone may have more or fewer apertures.


In the example illustrated in FIG. 4, each inflow zone 215 to the producer is shown with an associated temperature and pressure sensor. Alternatively, one or more of the inflow zones may not include a discrete pressure sensor. For example, discrete temperature sensors (or a distributed temperature sensor) may be provided to measure local temperatures at every 1 meter or so along the production wellbore, while discrete pressure sensors (or a distributed pressure sensing system) may be provided to measure local pressure values at every 10 meters or so along the production wellbore.



FIG. 6 illustrates a schematic longitudinal cross-section of a pair of horizontal wellbores that are provided with sensors for measuring temperature and pressure for a number of inflow zones 215a-215g distributed along the length of the horizontal segment 206 of the producer 200. In the illustrated example, pressure sensors 230a-230g are provided at, respectively, inflow locations 210b, 210e, 210i, 210m, 210o, 210p, and 210q, such that each inflow zone 215a-215g is centered around a respective pressure sensor 230a-230g.


In some embodiments, the locations of pressure sensors 230a-230g may be determined based on the geology of the formation. For example, a single pressure sensor 230 may be positioned at the approximate midpoint of a region of relatively constant porosity, as the formation pressure along such a region may be expected to be relatively constant.


In the example illustrated in FIG. 6, each inflow zone 215 is centered around a respective pressure sensor 230. Alternatively, to determine a local pressure value for inflow zones that do not have a pressure sensor positioned therein, a flow model (e.g. using pressure data from sensors at one or more other inflow zones) may be used. For example, a local pressure value for an inflow zone 215 may be determined using a flow model that computes pressure values along the production wellbore between the locations of pressure sensors 230 positioned in adjacent inflow zones.


In the example illustrated in FIG. 4, each inflow location 210 or zone 215 along the producer has an associated temperature sensor 220 and an associated pressure sensor 230. In the example illustrated in FIG. 7, each injection location or zone 115 along the injector also has an associated temperature sensor 120 and an associated pressure sensor 130. As with the sensors for the producer, each pressure sensor and/or each temperature sensor may be a discrete unit, or a distributed data acquisition system may be used to obtain temperature and/or pressure data at each injection zone 115. That is, the same physical sensor apparatus may function as both a pressure sensor and as a temperature sensor at one or more locations along the injector wellbore.


By obtaining pressure and temperature data for a number of locations or zones distributed along the horizontal segment of the producer wellbore during shut-in conditions, local liquid levels may be estimated along the horizontal length of the well pair (which may account for local heterogeneities in the formation). This may allow a more accurate and/or more detailed baseline model to be developed for the reservoir conditions (e.g. liquid level) along the wellbore. A more accurate baseline model may allow for improved control of production during a gravity drainage process (e.g. SAGD).


For example, during normal operation, pressure at any given location along the producer wellbore is a function of: i) the fluid head between the injector and producer; ii) the pressure drop across the completion (including any skin effects); iii) the thermodynamic state of the fluid; iv) the frictional pressure loss along the wellbore segment between locations, which may be determined as a direct function of the vapor and liquid fractions of the fluids (which can be determined e.g. from a thermodynamic equilibrium calculation or a non-equilibrium calculation) and the flow rate through the producer wellbore; and v) while flowing, the pressure also depends on the Darcy's Law pressure drop due to the viscous effects of fluid flowing through porous media.


However, when the well is shut-in, the flow effects quickly become negligible (e.g. drop to zero) leaving the fluid head between the injector and producer as the only component of pressure. It should be recognized that the fluid head is the sum of the reservoir pressure and the height of liquid above the producer. Accordingly, a reasonable estimation of the liquid level for a given location or zone above the producer wellbore may be made using temperatures and ‘static’ pressures measured under shut-in conditions, and an assumed fluid composition (e.g. as obtained from a calibration of the producing well model, or obtained from sampling produced fluids during operation). Such ‘local’ estimates of liquid levels may be combined to form a more detailed and/or more accurate estimate of the liquid level as it varies along the length of the producer wellbore at the time the wells are shut-in.


Also, by obtaining pressure and temperature data for a number of locations or zones distributed along the horizontal segment of the producer wellbore during shut-in conditions, local profile values may be estimated for the well pair (which may account for local heterogeneities in the formation). These profile values may be characterized as a relationship between a subcool change and a change in the liquid level (e.g. a change in local subcool corresponding to a 1 m change in a local liquid level). Once production has resumed following the shut-in, local operating liquid levels may be estimated using local profile values in conjunction with local pressure and temperature measurements taken during operating conditions.


Accordingly, determining local operating temperatures and pressures for a number of locations or zones along the horizontal segment of a producer wellbore may allow for the determination of local subcool values, which, along with local profile values, may allow an improved calculation of local liquid levels between the injector wellbore and the producer wellbore. This may enable well pair operation based on local liquid levels estimated from local subcools, rather than a single average liquid level based on the average subcool.


A more accurate and/or more detailed model for the reservoir conditions (e.g. local liquid levels) along the wellbore may also facilitate faster identification and/or responses to system changes, which may have one or more advantages. For example, improved responses to system changes may allow for a more efficient use of steam or other injected fluids. Improved responses to system changes may also allow for improved run life for an ESP or other artificial lift device. Improved responses to system changes may also allow for lower temperature operations near inflow locations, which may improve the expected operating life of producer screens, as these screens may be ‘burnt through’ or otherwise damaged by prolonged exposure to direct steam production (e.g. if exposed to injector fluids that pass through the formation during ‘steam coning’).


Referring to FIG. 8, there is illustrated a method 800 for determining a liquid level in a formation between a horizontal segment of an injection wellbore and a horizontal segment of a production wellbore. Method 800 may be performed using apparatus as illustrated in FIGS. 4 to 7 or any other suitable apparatus.


At 805, the production wellbore and the injection wellbore are shut-in. Optionally, the injector may undergo a gas purge in order to reduce the liquid level in the injector annulus to obtain a more accurate bottom hole pressure for the injector wellbore from a wellhead pressure gauge. For example, an inert gas such as N2 may be pumped into the injector wellbore to displace any condensed vapour present in the injector wellbore into the reservoir.


At 810, values for local shut-in temperatures (i.e. a temperature measured after the wellbore has been shut-in) for a plurality of inflow zones (e.g. Tinflow_1 to Tinflow_n or Tres_inflow to Tres_inflow n for n zones), are measured using one or more temperature sensors distributed along the producer wellbore 200.


At 815, values for local shut-in pressures (i.e. a pressure measured after the wellbore has been shut-in) for a plurality of inflow zones (e.g. Pinflow_1 to Pinflow_n or Pres_inflow_1 to Pres_inflow_n for n zones), are measured using one or more pressure sensors distributed along the producer wellbore 200.


Optionally, at 820, values for local shut-in temperatures for a plurality of injection zones (e.g. Tinj_1 to Tinj_n for n zones) may be measured using one or more temperature sensors distributed along the injector wellbore 100. Alternatively, a shut-in temperature for the injection zones may be estimated based on, e.g. wellhead measurements and/or a saturation curve for the injected fluid(s).


Optionally, at 825, values for local shut-in pressures for a plurality of injection zones (e.g. Pinj_1 to Pinj_n for n zones), are measured using one or more pressure sensors distributed along the injector wellbore 100. Alternatively, a shut-in pressure for the injection zones may be estimated based on, e.g. wellhead measurements and/or a saturation curve for the injected fluid(s), or any other suitable method.


For example, under saturated conditions, the saturation curve for the injection fluid can be used to determine the saturation pressure as a function of saturation temperature and injected solvent concentration:

Psat=f(Tsat,Concsolvent)  (1)

Accordingly, under saturation conditions, a measurement of temperature provides a direct value for the saturation pressure. For example, for SA-SAGD, a temperature measurement and injected solvent concentration can be used to determine a pressure value.


As another example, for SAGD, assuming no pressure drop due to flow, and assuming that the injector wellbore is filled with steam, the static bottom hole pressure may be calculated using a pressure measurement taken at the wellhead and known steam properties:

Pbottom_hole=Pwellhead+(ρsteam)(g)(h)  (2)

where ρsteam is the density for steam and h is the height difference between the bottom hole location and the location of the wellhead measurement. Alternatively, if accumulated liquid is blown out with a gas (e.g. during a purge operation using N2 gas), ρsteam may be replaced with ρgas. Simulation results indicate that reservoir temperature/pressure at the injector is relatively uniform in areas of good steam conformance (i.e. where steam actually enters the formation). It will be appreciated that additional measurements (e.g. temperatures measured for an observation well associated with the injector/producer wellpair) may optionally be used to correct the estimation of the injector pressure.


It will be appreciated that the production and injection wellbores may be shut-in for a number of reasons, such as for periodic scheduled maintenance, or an unscheduled power outage. Preferably, steps 810 to 825 may be performed during an otherwise scheduled shut-in, as this may limit non-production time for the recovery process.


At 830, a local shut-in liquid level is determined under static flow conditions for each of the plurality of inflow zones. Preferably, the shut-in liquid level for an inflow zone is based on the measured shut-in pressure at that inflow zone, and a shut-in pressure for an injection zone horizontally aligned with that inflow zone.


For example, with reference to FIG. 9, the local liquid level hi above an inflow location or zone may be determined based on the local reservoir pressure Pres_i as measured at 815, the local pressure in the injector wellbore Pinj_i at a point above the local reservoir location (e.g. as measured at 825 or as otherwise determined/estimated), and the local density of the fluid (which may be an assumed value—for example, the density of the fluid in the reservoir above the producer wellbore 200 may be estimated using Pres_inflow_i (or Pinflow_i), Tres_inflow_i (or Tinflow_i), and a known or expected composition of the fluid). For example, the local liquid level hi may be determined using:










h
i

=



P


res

_

inflow



_

i



-

P

inj

_

i





ρ
L

×
g






(
3
)








where g is the gravitational constant, and ρL is the density of the liquid in the reservoir. For example, density may be measured at the surface, either with online instruments or with collected samples, and these surface values may then be corrected to bottom hole conditions (e.g. by assuming that the surface composition is the same as the composition in the reservoir).


For some processes (e.g. the injection of pure steam, or a pure solvent such as pentane, hexane, etc.), the local pressure in the injector wellbore Pinj_i may be assumed constant over the entire length of the wellbore (e.g. Pinj_i=Pinj). In other processes, such as SA-SAGD or VAPEX, this assumption may be less accurate. Alternatively, the pressure distribution along the injector may be estimated, e.g. using the injection pressure and a frictional flow model along the injection well.


Typically, the changes in liquid level in the reservoir may be considered negligible directly following the well shut-in. For example, the liquid level may not change significantly within the first two days or so following a shut-in. FIG. 10 is a plot of local liquid level height (y-axis) as a function of reservoir pressure (x-axis) during a simulated SAGD operation using injector and producer wellbores spaced 5 m apart, where the liquid level was being held at about 2.5 m. The different plot lines represent values taken for different times during the simulated operational life (i.e. at 680 days of simulated operation, and at 1400 days, 2120 days, 2840 days, 3560 days, and (following a simulated shut-in) at 3602 days). Based on simulated results, the range of liquid level change over a 2 day shut-in may be on the order of 10% of the inter-well spacing distance.


At 835, a local shut-in subcool value is determined for each of the plurality of inflow zones. Preferably, the shut-in subcool value for an inflow zone is based on a local saturation temperature of an injection fluid at the measured shut-in pressure at that inflow zone, and the measured shut-in temperature at that inflow zone. For example, for a SAGD or SA-SAGD process, the local shut-in subcool value for an inflow zone may be defined as the difference between the saturation temperature Tsat for steam at the local shut-in pressure Pres_inflow at that zone (i.e. Tsat(Pres_inflow)) and the local shut-in temperature Tres_inflow at that zone:

Subcoolshut-ini=Tsat(Pres_inflow(shut-in)i)−Tres_inflow(shut-in)i  (4)

As discussed above, the local shut-in pressure in the reservoir adjacent the inflow location Pres_inflow(shut-in) may be assumed as being equal to a pressure value Pinflow measured by a pressure sensor 230, or may be based on a measured pressure value Pinflow subject to an adjustment factor (e.g. to compensate for a pressure drop across the reservoir/wellbore interface).


For a heated VAPEX (H-VAPEX) process, the local subcool value for an inflow zone may be defined as the difference between the saturation temperature Tsat for the solvent being used at the local shut-in pressure Pres_inflow at that zone and the local shut-in temperature Tres_inflow at that zone.


At 840, a local profile value is determined for each of the plurality of inflow zones. The local profile value ST for each inflow zone is based on the local shut-in subcool value for that inflow zone and the local shut-in liquid level for that inflow zone:










S

T
i


=


Subcool

shut


-



in
i




h
i






(
5
)








Combining equations (4) and (5):










S

T
i


=




T
sat



(

P


res

_

inflow




(

shut


-


in

)

i



)


-

T


res

_

inflow




(

shut


-


in

)

i





h
i






(
6
)








The local profile value STi can be characterized as the change in subcool required to move the liquid level by one meter (presuming the liquid level h is measured in meters, otherwise unit conversion would be required).


For example, FIG. 11 illustrates an example plot of local profile values STi from a simulated SAGD operation using injector and producer wellbores spaced 5 m apart, where the liquid level was being held at about 2.5 m. The different plot lines represent values taken for different times during the simulated operational life (i.e. at 680 days of simulated operation, and at 1400 days, 2120 days, 2840 days, 3560 days, and (following a simulated shut-in) at 3602 days). In this illustrative example, there is a generally linear relationship between local liquid level heights (y axis) and local subcool values (x-axis) for locations in the reservoir below the local liquid level. For locations in the reservoir above the local liquid level, the Tsat−T slope is approximately zero.


At 845, flow is resumed in the production wellbore and the injection wellbore. It will be appreciated that flow may be resumed prior to steps 830, 835, and/or 840, as these steps may be performed anytime using the measurements taken during shut-in.


At 850, a local operating temperature (i.e. a temperature measured during operating conditions after flow in the wellbores has resumed) for an inflow zone is measured using one or more temperature sensors distributed along the producer wellbore 200.


At 855, a local operating pressure (i.e. a pressure measured during operating conditions after flow in the wellbores has resumed) for the inflow zone is measured using one or more pressure sensors distributed along the producer wellbore 200.


At 860, a local operating subcool value is determined for the inflow zone. Like the shut-in subcool values determined at 835, the operating subcool value for an inflow zone is based on the measured operating temperature at that inflow zone. For example, for a SAGD or SA-SAGD process, the local operating subcool value for an inflow zone may be defined as the difference between the saturation temperature Tsat for steam at the local operating pressure Pinflow (or Pres_inflow) at that zone (i.e. Tsat(Pinflow)) and the local operating temperature Tinflow (or Tres_inflow) at that zone.

Subcooloperatingi=Tsat(Pres_inflow(operating)i)−Tres_inflow(operating)i  (7)


At 865, a local operating liquid level is determined for the inflow zone. The local operating liquid level may be determined by taking the difference between the local operating subcool value for the inflow zone and the local shut-in subcool value for the inflow zone (determined at 835). Next, this change in the local subcool value and the local profile value (determined at 840) can be used to determine a change in the local liquid level. This change in the local liquid level can be applied to the local shut-in liquid level for the inflow zone (determined at 830) to estimate the local operating liquid level. For example:










Subcool

delta
i


=


Subcool

operating
i


-

Subcool

shut


-



in
i








(
8
)







h

delta
i


=


Subcool

delta
i



S

T
i







(
9
)







h

operating
i


=


h

delta
i


+

h

shut


-



in
i








(
10
)







Alternatively, equations (10), (9), and (5) may be combined to express the local operating liquid level as a function of the local operating subcool value and the local profile value:










h

operating
i


=


Subcool

operating
i



S

T
i







(
11
)







Optionally, steps 810 to 840 may be performed each time the wellbores are shut-in (e.g. during scheduled service interruptions) to determine updated local liquid levels based on pressures measured during static flow conditions. An advantage of periodically re-determining the local shut-in liquid levels is that this may improve the accuracy of the liquid levels estimated during operation, as the re-determined baseline local liquid levels may be more accurate than local liquid levels estimated following a significant time period following the prior shut-in.


Additionally, or alternatively, steps 810 to 840 may be performed each time the wellbores are shut-in (e.g. during scheduled service interruptions) to determine updated local profile values. An advantage of periodically re-determining the profile values is that the relationship between a subcool change and a change in the local liquid level may ‘drift’ over time during the recovery process.


For example, FIG. 12 illustrates an example plot of a local profile value from a simulated SAGD operation using injector and producer wellbores spaced 5 m apart, where the liquid level was being held at about 2.5 m. In this example, the change in the local profile value (i.e. the slope of subcool/liquid level) (y-axis) as a function of operating time (x-axis) is generally monotonically increasing over the first 2,000 days or so, after which it may stabilize around a long-run value.


Preferably, after an updated local profile value is determined, the rate of ‘drift’ of the profile value (i.e. change in the local profile value as a function of operating time) may be estimated for the time period between the determination of the updated profile value and the prior profile value. This estimation of the ‘drift’ rate may be used as a factor during the liquid level determination at 865.


For example, the change in the local subcool value (i.e. the difference between the local operating subcool value for the inflow zone and the local shut-in subcool value for the inflow zone) may be scaled by an adjusted profile value (e.g. the local profile value determined at 840 scaled by the expected ‘drift’ rate for the time duration since the last shut-in) to determine a change in the local liquid level. This change in the local liquid level can then be applied to the local shut-in liquid level for the inflow zone (determined at 830) to estimate the local operating liquid level.


By determining (and preferably periodically updating) local profile values during shut-in conditions, local operating liquid levels for a number of locations distributed along the horizontal segment 106 of the injector wellbore may be determined using operating pressure and temperature data for these locations. This may allow for improved control of the liquid level between the injector and producer wellbores during a gravity drainage process (e.g. SAGD).


As discussed above, obtaining pressure and temperature data and determining local shut-in and operating state information for a number of locations distributed along the horizontal segments of the producer and/or injector wellbores may allow a more accurate and/or more detailed model to be developed for the production inflow and/or reservoir conditions along the wellbore. For such a model to allow for improved control of production during the SAGD process (e.g. by facilitating faster identification and/or responses to system changes), the local operating conditions are preferably updated in real-time or near-real time to provide current state information. Thus, one or more computing devices may be used to perform some or all of the calculations described herein. For example, it may be considered impractical (if not impossible) to determine and display, in a timely manner, an estimate of the liquid level h between the injector and producer at a number of locations along the wellbores without using one or more computing devices.


Also, updating such a model in real-time or near-real time to provide current state information may have one or more advantages. For example, such an updated model may facilitate improved steam conformance by adjusting heel/toe steam rates based on liquid level measurements.


For example, in response to determining that liquid levels are rising and/or above a target value, one or more actions may be taken promote the reduction of liquid levels. Non-limiting examples of such actions include: increasing the total flowrate for fluids exiting the wellbore segment (e.g. by increasing a pump rate of an artificial lift device); increasing an open area of at least one of the plurality of inflow locations, and; unblocking the open area of at least one of the plurality of inflow zones. During such actions, an injection rate may be raised to increase a total flow rate of fluids into the injector wellbore to maintain chamber pressure as the liquid level falls (e.g. the injection rate may be ‘ramped up’ temporarily, and then ‘dialed back’ to (approximately) the same rate once the liquid level has stabilized at a lower level), or the injection rate may be lowered, in order to decrease a total flow rate of fluids into the injector wellbore.


In response to determining that liquid levels are falling and/or below a target value, one or more actions may be taken promote an increase of liquid levels. Non-limiting examples of such actions include: decreasing the total flowrate for fluids exiting the wellbore segment (e.g. by decreasing a pump rate of an artificial lift device); decreasing an open area of at least one of the plurality of inflow locations, and; blocking the open area of at least one of the plurality of inflow zones. During such actions, an injection rate may be lowered to decrease a total flow rate of fluids into the injector wellbore to maintain chamber pressure as the liquid level rises (e.g. the injection rate may be ‘dialed back’ temporarily, and then ‘ramped up’ to (approximately) the same rate once the liquid level has stabilized at a higher level), or the injection rate may be raised, in order to increase a total flow rate of fluids into the injector wellbore.


It will be appreciated that other actions may be taken in response to high/rising or low/falling liquid levels. For example, in response to determining that liquid levels are rising and/or above a target value, an injection rate may be raised to increase a total flow rate of fluids into the injector wellbore, which may lead to lower or maintained liquid levels in the steam chamber, but only after a significant time delay. However, an increase in the injection rate may also result in an increase in the steam chamber temperature, which may increase the bitumen drainage rate in the steam chamber due to a reduction in bitumen viscosity. However, this impact may also have a significant time delay in that changes to the injection rate result in changes to the bitumen drainage rate at a time significantly delayed from the change in injection rate. Therefore, in embodiments herein, the control of the injection rate may have to be independently controlled (i.e., either increased or decreased) in any liquid level control situation, independent of the other liquid level control steps described herein.


Alternatively, or additionally, such an updated model may facilitate reducing gas vapor fractions in the producer, which in turn may reduce or preferably minimize pump failure and liner failures due to high velocity flows through the completions (e.g. possibly with sand moving with the high velocity fluid).


The various embodiments of the methods and systems described herein may be implemented using a combination of hardware and software. These embodiments may be implemented in part using computer programs executing on one or more programmable devices, each programmable device including at least one processor, an operating system, one or more data stores (including volatile memory or non-volatile memory or other data storage elements or a combination thereof), at least one communication interface and any other associated hardware and software that is necessary to implement the functionality of at least one of the embodiments described herein. For example, and without limitation, suitable computing devices may include one or more of a server, a network appliance, an embedded device, a personal computer, a laptop, a wireless device, or any other computing device capable of being configured to carry out some or all of the methods described herein.


In at least some of the embodiments described herein, program code may be applied to input data to perform at least some of the functions described herein and to generate output information. The output information may be applied to one or more output devices, for display or for further processing.


For example, a computer monitor or other display device may be configured to display a graphical representation of determined local liquid levels (under shut-in and/or operating conditions) for some or all of the inflow zones. In some embodiments, a schematic representation of the injector, producer, and formation (e.g. similar to FIGS. 2 to 7) may be displayed, along with a representation (e.g. a line, one or more line segments, or other symbols or indicia) of local liquid levels in the reservoir. For example, a representation of local liquid levels for all or some (e.g. 10%, 20%, or 50%) of the length between the heel and the toe of the wellbore segment may be displayed.


At least some of the embodiments described herein that use programs may be implemented in a high level procedural or object oriented programming and/or scripting language or both. Accordingly, the program code may be written in C, Java, SQL or any other suitable programming language and may comprise modules or classes, as is known to those skilled in object oriented programming. However, other programs may be implemented in assembly, machine language or firmware as needed. In either case, the language may be a compiled or interpreted language.


The computer programs may be stored on a storage media (e.g. a computer readable medium such as, but not limited to, ROM, magnetic disk, optical disc) or a device that is readable by a general or special purpose computing device. The program code, when read by the computing device, configures the computing device to operate in a new, specific, and predefined manner in order to perform at least one of the methods described herein.


As used herein, the wording “and/or” is intended to represent an inclusive-or. That is, “X and/or Y” is intended to mean X or Y or both, for example. As a further example, “X, Y, and/or Z” is intended to mean X or Y or Z or any combination thereof.


While the above description describes features of example embodiments, it will be appreciated that some features and/or functions of the described embodiments are susceptible to modification without departing from the spirit and principles of operation of the described embodiments. For example, the various characteristics which are described by means of the represented embodiments or examples may be selectively combined with each other. Accordingly, what has been described above is intended to be illustrative of the claimed concept and non-limiting. It will be understood by persons skilled in the art that other variants and modifications may be made without departing from the scope of the invention as defined in the claims appended hereto. The scope of the claims should not be limited by the preferred embodiments and examples, but should be given the broadest interpretation consistent with the description as a whole.


EMBODIMENTS
Embodiment 1

A method for determining a liquid level in a formation between a horizontal segment of an injection wellbore and a horizontal segment of a production wellbore, the method comprising:

    • shutting-in the production wellbore;
    • shutting-in the injection wellbore;
    • measuring, using at least one first temperature sensor positioned in the production wellbore segment, a local shut-in temperature for each of a plurality of inflow zones between a heel and a toe of the production wellbore segment;
    • measuring, using at least one first pressure sensor positioned in the production wellbore segment, a local shut-in pressure for each of the plurality of inflow zones;
    • determining, for each of the plurality of inflow zones:
      • a local shut-in liquid level, based on the measured shut-in pressure at that inflow zone and a shut-in pressure for an injection zone horizontally aligned with that inflow zone;
      • a local shut-in subcool value, based on the measured shut-in temperature at that inflow zone; and
      • a local profile value, based on the local shut-in subcool value for that inflow zone and the local shut-in liquid level for that inflow zone;
    • resuming flow in the production wellbore;
    • resuming flow in the injection wellbore;
    • after resuming flow in the production and injection wellbores, for at least one of the plurality of inflow zones:
      • measuring, using the at least one first temperature sensor positioned in the production wellbore, a local operating temperature for that inflow zone;
      • determining a local operating subcool value, based on the measured operating temperature at that inflow zone;
      • determining a local operating liquid level, based on the local operating subcool value for that inflow zone and the local profile value for that inflow zone.


Embodiment 2

The method of embodiment 1, wherein a local operating liquid level is determined for each of the plurality of inflow zones.


Embodiment 3

The method of embodiment 1 or embodiment 2, wherein the determined local shut-in subcool value is based on a local saturation temperature of an injection fluid at the measured shut-in pressure at that inflow zone and the measured shut-in temperature at that inflow zone.


Embodiment 4

The method of any one of embodiments 1 to 3, further comprising, after resuming flow in the production and injection wellbores, measuring, using the at least one first pressure sensor, a local operating pressure for that inflow zone, and wherein the determined local operating subcool value is based on a local saturation temperature of the injection fluid at the measured operating pressure at that inflow zone and the measured operating temperature at that inflow zone.


Embodiment 5

The method of any one of embodiments 1 to 4, wherein the determined local operating liquid level is based on the local shut-in liquid level for that inflow zone, a difference between the local operating subcool value for that inflow zone and the local shut-in subcool value for that inflow zone, and the local profile value for that inflow zone.


Embodiment 6

The method of any one of embodiments 1 to 5, wherein the local shut-in temperature for each of the plurality of injection zones is obtained using at least one second temperature sensor positioned in the injection wellbore.


Embodiment 7

The method of any one of embodiments 1 to 6, wherein the local shut-in pressure for each of the plurality of injection zones is obtained using at least one second pressure sensor positioned in the injection wellbore.


Embodiment 8

The method of any one of embodiments 1 to 7, further comprising:

    • after determining the local operating liquid level for the at least one of the plurality of inflow zones:
      • comparing the determined local operating liquid level for the at least one of the plurality of inflow zones to a target liquid level;
      • in response to the determined local operating liquid level for the at least one of the plurality of inflow zones being greater than the target liquid level, performing at least one of:
        • increasing a pump rate of an artificial lift device to increase the total flowrate for fluids exiting the production wellbore segment;
        • increasing an open area of at least one of the plurality of inflow zones; and
        • unblocking the open area of at least one of the plurality of inflow zones; and
      • in response to the target liquid level being greater than the determined local operating liquid level for the at least one of the plurality of production zones, performing at least one of:
        • decreasing the pump rate of the artificial lift device to decrease the total flowrate for fluids exiting the production wellbore segment;
        • decreasing the open area of at least one of the plurality of inflow zones; and
        • blocking the open area of at least one of the plurality of inflow zones.


Embodiment 9

The method of embodiment 8, wherein, in response to the determined local operating liquid level for at least one of the plurality of inflow zones being greater than the target liquid level, the method further comprises increasing an injection rate of a fluid injector to increase a total flow rate of fluids into the injector wellbore, in order to maintain pressure in a steam chamber.


Embodiment 10

The method of embodiment 8, wherein, in response to the determined local operating liquid level for at least one of the plurality of inflow zones being greater than the target liquid level, the method further comprises decreasing an injection rate of a fluid injector to decrease a total flow rate of fluids into the injector wellbore, in order to decrease a bitumen drainage rate in a steam chamber.


Embodiment 11

The method of embodiment 8, wherein, in response to the target liquid level being greater than the determined local operating liquid level for at least one of the plurality of inflow zones, the method further comprises decreasing an injection rate of a fluid injector to decrease a total flow rate of fluids into the injector wellbore, in order to maintain pressure in a steam chamber.


Embodiment 12

The method of embodiment 8, wherein, in response to the target liquid level being greater than the determined local operating liquid level for at least one of the plurality of inflow zones, the method further comprises increasing an injection rate of a fluid injector to increase a total flow rate of fluids into the injector wellbore, in order to increase a bitumen drainage rate in a steam chamber.


Embodiment 13

The method of any one of embodiments 1 to 12, further comprising, after determining the local operating liquid level for the at least one of the plurality of inflow zones:

    • shutting-in the production and injection wellbores a second time;
    • determining updated local profile values for each of the plurality of inflow zones;
    • resuming flow in the production and injection wellbores a second time;
    • after resuming flow in the production and injection wellbores the second time, for at least one of the plurality of inflow zones:
      • determining an updated local operating liquid level, based on an updated local shut-in liquid level for that inflow zone, a difference between an updated local operating subcool value for that inflow zone and an updated local shut-in subcool value for that inflow zone, and the updated local profile value for that inflow zone.


Embodiment 14

The method of any one of embodiments 1 to 12, further comprising:

    • after determining the local profile values during a first shut-in period:
      • determining updated local profile values during a second shut-in period;
      • determining, for at least one of the plurality of inflow zones, a profile adjustment factor based on the local profile value for that inflow zone, the updated local profile value for that inflow zone, and a duration between the first and second shut-in periods; and
    • after resuming flow in the production and injection wellbores following the second shut-in period, for at least one of the plurality of inflow zones:
      • determining a local operating liquid level, based on the local shut-in liquid level for that inflow zone, a difference between the local operating subcool value for that inflow zone and the local shut-in subcool value for that inflow zone, the updated local profile value for that inflow zone, the local profile adjustment factor for that inflow zone, and a duration between the second shut-in period and a period during which the local operating temperature and pressure were measured when determining the subcool value for that inflow zone.


Embodiment 15

The method of any one of embodiments 1 to 14, further comprising:

    • after shutting in the injection wellbore, and before determining the local shut-in liquid levels:
      • performing a gas purge of the injector wellbore.


Embodiment 16

A system for determining a liquid level in a formation between a horizontal segment of an injection wellbore and a horizontal segment of a production wellbore, the system comprising:

    • at least one first temperature sensor positioned in the production wellbore segment to measure a local temperature for each of a plurality of inflow zones between a heel and a toe of the production wellbore segment;
    • at least one first pressure sensor positioned in the production wellbore segment to measure a local pressure for each of the plurality of inflow zones;
    • one or more processors operatively coupled to the at least one first temperature sensor and the at least one first pressure sensor, the one or more processors, collectively, configured to:
      • during a period in which the production wellbore and the injection wellbore are shut-in:
        • determine, for each of the plurality of inflow zones:
          • a local shut-in liquid level, based on a measured shut-in pressure at that inflow zone and a shut-in pressure for an injection zone horizontally aligned with that inflow zone;
          • a local shut-in subcool value, based on a measured shut-in temperature at that inflow zone; and
          • a local profile value, based on the local shut-in subcool value for that inflow zone and the local shut-in liquid level for that inflow zone; and
      • after resuming flow in the production and injection wellbores:
        • determine, for at least one of the plurality of inflow zones:
          • a local operating subcool value, based on a measured operating temperature at that inflow zone; and
          • a local operating liquid level, based on the local operating subcool value for that inflow zone and the local profile value for that inflow zone.


Embodiment 17

The system of embodiment 16, wherein the one or more processors are configured to determine the local shut-in subcool value for each of the plurality of inflow zones based on the measured shut-in temperature at that inflow zone and a local saturation temperature of an injection fluid at the measured shut-in pressure at that inflow zone.


Embodiment 18

The system of embodiment 16 or embodiment 17, wherein the one or more processors are configured to determine the local operating subcool value for the at least one of the plurality of inflow zones based on the measured operating temperature at that inflow zone and a local saturation temperature of the injection fluid at a measured operating pressure at that inflow zone.


Embodiment 19

The system of any one of embodiments 16 to 18, wherein the one or more processors are configured to determine the local operating liquid level based on the local shut-in liquid level for that inflow zone, a difference between the local operating subcool value for that inflow zone and the local shut-in subcool value for that inflow zone, and the local profile value for that inflow zone.


Embodiment 20

The system of any one of embodiments 16 to 19, wherein the at least one first temperature sensor comprises a thermocouple or a set of thermocouples.


Embodiment 21

The system of any one of embodiments 16 to 19, wherein the at least one first temperature sensor comprises a distributed temperature sensor (DTS).


Embodiment 22

The system of embodiment 20 or embodiment 21, further comprising at least one second temperature sensor positioned in the injection wellbore to measure a local temperature for each of a plurality of injection zones between a heel and a toe of the injection wellbore segment.


Embodiment 23

The system of any one of embodiments 16 to 22, wherein the at least one first pressure sensor comprises a distributed pressure sensing system.


Embodiment 24

The system of any one of embodiments 16 to 23, wherein the at least one first pressure sensor is positioned exterior of a production string located in the production wellbore segment.


Embodiment 25

The system of any one of embodiments 16 to 24, wherein the at least one first pressure sensor comprises fewer discrete pressure sensors than the number of inflow zones in the plurality of inflow zones, and wherein, for inflow zones without a discrete pressure sensor positioned therein, the one or more processors are configured to determine local pressures for those inflow zones using a model based on pressures from discrete pressure sensors positioned in other inflow zones.


Embodiment 26

The system of any one of embodiments 16 to 25, further comprising at least one second pressure sensor positioned in the injection wellbore to measure a local pressure for each of the plurality of injection zones.


Embodiment 27

The system of embodiment 26, wherein the at least one second pressure sensor comprises fewer discrete pressure sensors than the number of injection zones in the plurality of injection zones, and wherein, for injection zones without a discrete pressure sensor positioned therein, the one or more processors are configured to determine local pressures for those injection zones using a model based on pressures from discrete pressure sensors positioned in other injection zones.


Embodiment 28

The system of any one of embodiments 16 to 27, wherein the plurality of inflow zones comprises at least five inflow zones.


Embodiment 29

The system of any one of embodiments 16 to 28, further comprising a display device operatively coupled to the one or more processors, and wherein the one or more processors are further configured to cause the display device to display a graphical representation of the determined local operating liquid levels for the at least one of the plurality of inflow zones.


Embodiment 30

The system of embodiment 29, wherein the graphical representation of the determined local operating liquid levels for the at least one of the plurality of inflow zones comprises a representation of local operating liquid levels for at least ten percent of a length between the heel and the toe of the production wellbore segment.

Claims
  • 1. A method for determining a liquid level in a formation between a horizontal segment of an injection wellbore and a horizontal segment of a production wellbore, the method comprising: shutting-in the production wellbore;shutting-in the injection wellbore;measuring, using at least one first temperature sensor positioned in the production wellbore segment, a local shut-in temperature for each of a plurality of inflow zones between a heel and a toe of the production wellbore segment;measuring, using at least one first pressure sensor positioned in the production wellbore segment, a local shut-in pressure for each of the plurality of inflow zones;determining, for each of the plurality of inflow zones: a local shut-in liquid level, based on the measured shut-in pressure at that inflow zone and a shut-in pressure for an injection zone horizontally aligned with that inflow zone;a local shut-in subcool value, based on the measured shut-in temperature at that inflow zone; anda local profile value, based on the local shut-in subcool value for that inflow zone and the local shut-in liquid level for that inflow zone, the local profile value being a relationship between a change of the local shut-in subcool value and a change of the local shut-in liquid level;resuming flow in the production wellbore;resuming flow in the injection wellbore;after resuming flow in the production and injection wellbores, for at least one of the plurality of inflow zones: measuring, using the at least one first temperature sensor positioned in the production wellbore, a local operating temperature for that inflow zone;determining a local operating subcool value, based on the measured operating temperature at that inflow zone;determining a local operating liquid level, based on the local operating subcool value for that inflow zone and the local profile value for that inflow zone.
  • 2. The method of claim 1, wherein a local operating liquid level is determined for each of the plurality of inflow zones.
  • 3. The method of claim 1, wherein the determined local shut-in subcool value is based on a local saturation temperature of an injection fluid at the measured shut-in pressure at that inflow zone and the measured shut-in temperature at that inflow zone.
  • 4. The method of claim 1, further comprising, after resuming flow in the production and injection wellbores, measuring, using the at least one first pressure sensor, a local operating pressure for that inflow zone, and wherein the determined local operating subcool value is based on a local saturation temperature of the injection fluid at the measured operating pressure at that inflow zone and the measured operating temperature at that inflow zone.
  • 5. The method of claim 1, wherein the determined local operating liquid level is based on the local shut-in liquid level for that inflow zone, a difference between the local operating subcool value for that inflow zone and the local shut-in subcool value for that inflow zone, and the local profile value for that inflow zone.
  • 6. The method of claim 1, wherein the local shut-in temperature for each of the plurality of injection zones is obtained using at least one second temperature sensor positioned in the injection wellbore.
  • 7. The method of claim 1, wherein the local shut-in pressure for each of the plurality of injection zones is obtained using at least one second pressure sensor positioned in the injection wellbore.
  • 8. The method of claim 1, further comprising: after determining the local operating liquid level for the at least one of the plurality of inflow zones: comparing the determined local operating liquid level for the at least one of the plurality of inflow zones to a target liquid level;in response to the determined local operating liquid level for the at least one of the plurality of inflow zones being greater than the target liquid level, performing at least one of: increasing a pump rate of an artificial lift device to increase the total flowrate for fluids exiting the production wellbore segment;increasing an open area of at least one of the plurality of inflow zones; andunblocking the open area of at least one of the plurality of inflow zones; andin response to the target liquid level being greater than the determined local operating liquid level for the at least one of the plurality of production zones, performing at least one of: decreasing the pump rate of the artificial lift device to decrease the total flowrate for fluids exiting the production wellbore segment;decreasing the open area of at least one of the plurality of inflow zones; andblocking the open area of at least one of the plurality of inflow zones.
  • 9. The method of claim 8, wherein, in response to the determined local operating liquid level for at least one of the plurality of inflow zones being greater than the target liquid level, the method further comprises increasing an injection rate of a fluid injector to increase a total flow rate of fluids into the injector wellbore, in order to maintain pressure in a steam chamber.
  • 10. The method of claim 8, wherein, in response to the determined local operating liquid level for at least one of the plurality of inflow zones being greater than the target liquid level, the method further comprises decreasing an injection rate of a fluid injector to decrease a total flow rate of fluids into the injector wellbore, in order to decrease a bitumen drainage rate in a steam chamber.
  • 11. The method of claim 8, wherein, in response to the target liquid level being greater than the determined local operating liquid level for at least one of the plurality of inflow zones, the method further comprises decreasing an injection rate of a fluid injector to decrease a total flow rate of fluids into the injector wellbore, in order to maintain pressure in a steam chamber.
  • 12. The method of claim 8, wherein, in response to the target liquid level being greater than the determined local operating liquid level for at least one of the plurality of inflow zones, the method further comprises increasing an injection rate of a fluid injector to increase a total flow rate of fluids into the injector wellbore, in order to increase a bitumen drainage rate in a steam chamber.
  • 13. The method of claim 1, further comprising, after determining the local operating liquid level for the at least one of the plurality of inflow zones: shutting-in the production and injection wellbores a second time;determining updated local profile values for each of the plurality of inflow zones;resuming flow in the production and injection wellbores a second time;after resuming flow in the production and injection wellbores the second time, for at least one of the plurality of inflow zones: determining an updated local operating liquid level, based on an updated local shut-in liquid level for that inflow zone, a difference between an updated local operating subcool value for that inflow zone and an updated local shut-in subcool value for that inflow zone, and the updated local profile value for that inflow zone.
  • 14. The method of claim 1, further comprising: after determining the local profile values during a first shut-in period: determining updated profile values during a second shut-in period;determining, for at least one of the plurality of inflow zones, a profile adjustment factor based on the local profile value for that inflow zone, the updated local profile value for that inflow zone, and a duration between the first and second shut-in periods; andafter resuming flow in the production and injection wellbores following the second shut-in period, for at least one of the plurality of inflow zones: determining a local operating liquid level, based on the local shut-in liquid level for that inflow zone, a difference between the local operating subcool value for that inflow zone and the local shut-in subcool value for that inflow zone, the updated profile value for that inflow zone, the profile adjustment factor for that inflow zone, and a duration between the second shut-in period and a period during which the local operating temperature and pressure were measured when determining the subcool value for that inflow zone.
  • 15. The method of claim 1, further comprising: after shutting in the injection wellbore, and before determining the local shut-in liquid levels: performing a gas purge of the injector wellbore.
  • 16. A system for determining a liquid level in a formation between a horizontal segment of an injection wellbore and a horizontal segment of a production wellbore, the system comprising: at least one first temperature sensor positioned in the production wellbore segment to measure a local temperature for each of a plurality of inflow zones between a heel and a toe of the production wellbore segment;at least one first pressure sensor positioned in the production wellbore segment to measure a local pressure for each of the plurality of inflow zones;one or more processors operatively coupled to the at least one first temperature sensor and the at least one first pressure sensor, the one or more processors, collectively, configured to: during a period in which the production wellbore and the injection wellbore are shut-in: determine, for each of the plurality of inflow zones: a local shut-in liquid level, based on a measured shut-in pressure at that inflow zone and a shut-in pressure for an injection zone horizontally aligned with that inflow zone;a local shut-in subcool value, based on a measured shut-in temperature at that inflow zone; anda local profile value, based on the local shut-in subcool value for that inflow zone and the local shut-in liquid level for that inflow zone, the local profile value being a relationship between a change of the local shut-in subcool value and a change of the local shut-in liquid level; andafter resuming flow in the production and injection wellbores: determine, for at least one of the plurality of inflow zones: a local operating subcool value, based on a measured operating temperature at that inflow zone; anda local operating liquid level, based on the local operating subcool value for that inflow zone and the local profile value for that inflow zone.
  • 17. The system of claim 16, wherein the one or more processors are configured to determine the local shut-in subcool value for each of the plurality of inflow zones based on the measured shut-in temperature at that inflow zone and a local saturation temperature of an injection fluid at the measured shut-in pressure at that inflow zone.
  • 18. The system of claim 16, wherein the one or more processors are configured to determine the local operating subcool value for the at least one of the plurality of inflow zones based on the measured operating temperature at that inflow zone and a local saturation temperature of the injection fluid at a measured operating pressure at that inflow zone.
  • 19. The system of claim 16, wherein the one or more processors are configured to determine the local operating liquid level based on the local shut-in liquid level for that inflow zone, a difference between the local operating subcool value for that inflow zone and the local shut-in subcool value for that inflow zone, and the local profile value for that inflow zone.
  • 20. The system of claim 16, wherein the at least one first temperature sensor comprises at least one of a distributed temperature sensor (DTS) and a thermocouple or a set of thermocouples.
  • 21. The system of claim 16, further comprising at least one second temperature sensor positioned in the injection wellbore to measure a local temperature for each of a plurality of injection zones between a heel and a toe of the injection wellbore segment.
  • 22. The system of claim 16, wherein the at least one first pressure sensor comprises a distributed pressure sensing system.
  • 23. The system of claim 16, wherein the at least one first pressure sensor is positioned exterior of a production string located in the production wellbore segment.
  • 24. The system of claim 16, wherein the at least one first pressure sensor comprises fewer discrete pressure sensors than the number of inflow zones in the plurality of inflow zones, and wherein, for inflow zones without a discrete pressure sensor positioned therein, the one or more processors are configured to determine local pressures for those inflow zones using a model based on pressures from discrete pressure sensors positioned in other inflow zones.
  • 25. The system of claim 16, further comprising at least one second pressure sensor positioned in the injection wellbore to measure a local pressure for each of the plurality of injection zones.
  • 26. The system of claim 24, wherein the at least one second pressure sensor comprises fewer discrete pressure sensors than the number of injection zones in the plurality of injection zones, and wherein, for injection zones without a discrete pressure sensor positioned therein, the one or more processors are configured to determine local pressures for those injection zones using a model based on pressures from discrete pressure sensors positioned in other injection zones.
  • 27. The system of claim 16, wherein the plurality of inflow zones comprises at least five inflow zones.
  • 28. The system of claim 16, further comprising a display device operatively coupled to the one or more processors, and wherein the one or more processors are further configured to cause the display device to display a graphical representation of the determined local operating liquid levels for the at least one of the plurality of inflow zones.
US Referenced Citations (789)
Number Name Date Kind
1422204 Hoover et al. Jul 1922 A
1491138 Hixon Apr 1924 A
2365591 Ranney Dec 1944 A
2412765 Buddrus Dec 1946 A
2813583 Marx et al. Nov 1957 A
2859818 Hall et al. Nov 1958 A
2862558 Dixon Dec 1958 A
2910123 Elkins et al. Jan 1959 A
2876838 Williams Mar 1959 A
2881838 Morse et al. Apr 1959 A
2909224 Allen Oct 1959 A
3126961 Craig, Jr. et al. Mar 1964 A
3156299 Trantham Nov 1964 A
3163215 Stratton Dec 1964 A
3174544 Campion et al. Mar 1965 A
3182722 Reed May 1965 A
3205944 Walton Sep 1965 A
3221809 Walton Dec 1965 A
3232345 Trantham et al. Feb 1966 A
3237689 Justheim Mar 1966 A
3246693 Crider Apr 1966 A
3280909 Closmann et al. Oct 1966 A
3294167 Vogel Dec 1966 A
3310109 Marx et al. Mar 1967 A
3314476 Staples et al. Apr 1967 A
3315745 Rees, Jr. Apr 1967 A
3322194 Strubbar May 1967 A
3332482 Trantham Jul 1967 A
3333632 Kyte Aug 1967 A
3334687 Parker Aug 1967 A
3342257 Jacobs et al. Sep 1967 A
3342259 Powell Sep 1967 A
3347313 Matthews et al. Oct 1967 A
3349845 Holbert et al. Oct 1967 A
3351132 Dougan et al. Nov 1967 A
3361201 Howard Jan 1968 A
3363686 Gilchrist Jan 1968 A
3363687 Dean Jan 1968 A
3373804 Glass et al. Mar 1968 A
3379246 Skylar et al. Apr 1968 A
3379248 Strange Apr 1968 A
3406755 Sharp Oct 1968 A
3411578 Holmes Nov 1968 A
3412793 Needham Nov 1968 A
3412794 Craighead Nov 1968 A
3422891 Alexander et al. Jan 1969 A
3430700 Satter et al. Mar 1969 A
3441083 Fitzgerald Apr 1969 A
3454095 Messenger et al. Jul 1969 A
3454958 Parker Jul 1969 A
3456721 Smith Jul 1969 A
3490529 Parker Jan 1970 A
3490531 Dixon Jan 1970 A
3507330 Gill Apr 1970 A
3547192 Claridge et al. Dec 1970 A
3554285 Meldau Jan 1971 A
3572436 Riehl Mar 1971 A
3605888 Crowson et al. Sep 1971 A
3608638 Terwiltiger Sep 1971 A
3653438 Wagner Apr 1972 A
3685581 Hess et al. Aug 1972 A
3690376 Zwicky et al. Sep 1972 A
3703927 Harry Nov 1972 A
3705625 Whitten et al. Dec 1972 A
3724043 Eustance Apr 1973 A
3727686 Prates et al. Apr 1973 A
3759328 Ueber et al. Sep 1973 A
3768559 Allen et al. Oct 1973 A
3771598 McBean Nov 1973 A
3782465 Bell et al. Jan 1974 A
3782472 Siess, Jr. Jan 1974 A
3796262 Allen et al. Mar 1974 A
3804169 Closmann Apr 1974 A
3805885 Van Huisen Apr 1974 A
3822747 Maguire, Jr. Jul 1974 A
3822748 Allen et al. Jul 1974 A
3823777 Allen et al. Jul 1974 A
3827495 Reed Aug 1974 A
3837399 Allen et al. Sep 1974 A
3837402 Stringer Sep 1974 A
3838738 Redford et al. Oct 1974 A
3847219 Wang et al. Nov 1974 A
3847224 Allen et al. Nov 1974 A
3872924 Clampitt Mar 1975 A
3881550 Barry May 1975 A
3882941 Pelofsky May 1975 A
3892270 Lindquist Jul 1975 A
3905422 Woodward Sep 1975 A
3913671 Redford et al. Oct 1975 A
3929190 Chang et al. Dec 1975 A
3931856 Barnes Jan 1976 A
3941192 Carlin et al. Mar 1976 A
3945436 Barry Mar 1976 A
3945679 Clossmann et al. Mar 1976 A
3946809 Hagedorn Mar 1976 A
3946810 Barry Mar 1976 A
3954139 Allen May 1976 A
3954141 Allen et al. May 1976 A
3958636 Perkins May 1976 A
3964546 Allen Jun 1976 A
3964547 Hujsak et al. Jun 1976 A
3967853 Closmann et al. Jul 1976 A
3978920 Bandyopadhyay et al. Sep 1976 A
3983939 Brown et al. Oct 1976 A
3993133 Clampitt Nov 1976 A
3994341 Anderson et al. Nov 1976 A
3997004 Wu Dec 1976 A
3999606 Bandyopadhyay et al. Dec 1976 A
4003432 Paull et al. Jan 1977 A
4004636 Brown et al. Jan 1977 A
4007785 Allen et al. Feb 1977 A
4007791 Johnson Feb 1977 A
4008764 Allen Feb 1977 A
4008765 Anderson et al. Feb 1977 A
4019575 Pisio et al. Apr 1977 A
4019578 Terry et al. Apr 1977 A
4020901 Pisio et al. May 1977 A
4022275 Brandon May 1977 A
4022277 Routson May 1977 A
4022279 Driver May 1977 A
4022280 Stoddard et al. May 1977 A
4026358 Allen May 1977 A
4033411 Goins Jul 1977 A
4037655 Carpenter Jul 1977 A
4037658 Anderson Jul 1977 A
4049053 Fisher et al. Sep 1977 A
4066127 Harnsberger Jan 1978 A
4067391 Dewell Jan 1978 A
4068715 Wu Jan 1978 A
4068717 Needham Jan 1978 A
4078608 Allen et al. Mar 1978 A
4079585 Helleur Mar 1978 A
4084637 Todd Apr 1978 A
4085799 Bousaid et al. Apr 1978 A
4085800 Engle et al. Apr 1978 A
4085803 Butler Apr 1978 A
4088188 Widmyer May 1978 A
4099564 Hutchinson Jul 1978 A
4099568 Allen Jul 1978 A
4109720 Allen et al. Aug 1978 A
4114687 Payton Sep 1978 A
4114691 Payton Sep 1978 A
4116275 Butler et al. Sep 1978 A
4119149 Wu et al. Oct 1978 A
4120357 Anderson Oct 1978 A
4124071 Allen et al. Nov 1978 A
4124074 Allen et al. Nov 1978 A
4127170 Redford Nov 1978 A
4129183 Kalfoglou Dec 1978 A
4129308 Hutchinson Dec 1978 A
4130163 Bombardieri Dec 1978 A
4133382 Cram et al. Jan 1979 A
4133384 Allen et al. Jan 1979 A
4140180 Bridges et al. Feb 1979 A
4140182 Vriend Feb 1979 A
4141415 Wu et al. Feb 1979 A
4144935 Bridges et al. Mar 1979 A
RE30019 Lindquist Jun 1979 E
4160479 Richardson et al. Jul 1979 A
4160481 Turk et al. Jul 1979 A
4166503 Hall et al. Sep 1979 A
4174752 Slater et al. Nov 1979 A
4175618 Wu et al. Nov 1979 A
4191252 Buckley et al. Mar 1980 A
4202168 Acheson et al. May 1980 A
4202169 Acheson et al. May 1980 A
4207945 Hall et al. Jun 1980 A
4212353 Hall Jul 1980 A
4217956 Goss et al. Aug 1980 A
4223728 Pegg Sep 1980 A
4228853 Harvey et al. Oct 1980 A
4228854 Sacuta Oct 1980 A
4228856 Reale Oct 1980 A
4246966 Stoddard et al. Jan 1981 A
4248302 Churchman Feb 1981 A
4249602 Burton, III et al. Feb 1981 A
4250964 Jewell et al. Feb 1981 A
4252194 Felber et al. Feb 1981 A
4260018 Shum et al. Apr 1981 A
4262745 Stewart Apr 1981 A
4265310 Britton et al. May 1981 A
4270609 Choules Jun 1981 A
4271905 Redford et al. Jun 1981 A
4274487 Hollingsworth et al. Jun 1981 A
4280559 Best Jul 1981 A
4282929 Krajicek Aug 1981 A
4284139 Sweany Aug 1981 A
RE30738 Bridges et al. Sep 1981 E
4289203 Swanson Sep 1981 A
4295980 Motz Oct 1981 A
4296814 Stalder et al. Oct 1981 A
4300634 Clampitt Nov 1981 A
4303126 Blevins Dec 1981 A
4305463 Zakiewicz Dec 1981 A
4306981 Blair, Jr. Dec 1981 A
4319632 Marr, Jr. Mar 1982 A
4319635 Jones Mar 1982 A
4324291 Wong et al. Apr 1982 A
4325432 Henry Apr 1982 A
4326968 Blair, Jr. Apr 1982 A
4327805 Poston May 1982 A
4330038 Soukup et al. May 1982 A
4333529 McCorquodale Jun 1982 A
4344483 Fisher et al. Aug 1982 A
4344485 Butler Aug 1982 A
4344486 Parrish Aug 1982 A
4345652 Roque Aug 1982 A
4362213 Tabor Dec 1982 A
4372385 Rhoades et al. Feb 1983 A
4372386 Rhoades et al. Feb 1983 A
4379489 Rollmann Apr 1983 A
4379592 Vakhnin et al. Apr 1983 A
4380265 Mohaupt Apr 1983 A
4380267 Fox Apr 1983 A
4381124 Verty et al. Apr 1983 A
4382469 Bell et al. May 1983 A
4385661 Fox May 1983 A
4387016 Gagon Jun 1983 A
4389320 Clampitt Jun 1983 A
4390062 Fox Jun 1983 A
4390067 William Jun 1983 A
4392530 Odeh et al. Jul 1983 A
4393937 Dilgren et al. Jul 1983 A
4396063 Bey Aug 1983 A
4398602 Anderson Aug 1983 A
4398692 Macfie Aug 1983 A
4406499 Yildirim Sep 1983 A
4407367 Kydd Oct 1983 A
4410216 Allen Oct 1983 A
4411618 Donaldson et al. Oct 1983 A
4412585 Bouck Nov 1983 A
4415034 Bouck Nov 1983 A
4417620 Shafir Nov 1983 A
4418752 Boyer et al. Dec 1983 A
4423779 Livingston Jan 1984 A
4427528 Lindörfer et al. Jan 1984 A
4429744 Cook Feb 1984 A
4429745 Cook Feb 1984 A
4431056 Shu Feb 1984 A
4434851 Haynes, Jr. et al. Mar 1984 A
4441555 Shu Apr 1984 A
4444257 Stine Apr 1984 A
4444261 Islip Apr 1984 A
4445573 McCaleb May 1984 A
4448251 Stine May 1984 A
4450909 Sacuta May 1984 A
4450911 Seglin et al. May 1984 A
4450913 Allen et al. May 1984 A
4452491 Seglin et al. Jun 1984 A
4453597 Brown et al. Jun 1984 A
4456065 Heim et al. Jun 1984 A
4456066 Shu Jun 1984 A
4456068 Burrill, Jr. et al. Jun 1984 A
4458756 Clark Jul 1984 A
4458759 Isaacs et al. Jul 1984 A
4460044 Porter Jul 1984 A
4465137 Sustek, Jr. et al. Aug 1984 A
4466485 Shu Aug 1984 A
4469177 Venkatesan Sep 1984 A
4471839 Snavely et al. Sep 1984 A
4473114 Bell et al. Sep 1984 A
4475592 Pachovsky Oct 1984 A
4475595 Watkins et al. Oct 1984 A
4478280 Hopkins et al. Oct 1984 A
4478705 Ganguli Oct 1984 A
4480689 Wunderlich Nov 1984 A
4484630 Chung Nov 1984 A
4485868 Sresty et al. Dec 1984 A
4487262 Venkatesan et al. Dec 1984 A
4487264 Hyne et al. Dec 1984 A
4488600 Fan Dec 1984 A
4488976 Dilgren et al. Dec 1984 A
4491180 Brown et al. Jan 1985 A
4495994 Brown et al. Jan 1985 A
4498537 Cook Feb 1985 A
4498542 Eisenhawer et al. Feb 1985 A
4499946 Martin et al. Feb 1985 A
4501325 Frazier et al. Feb 1985 A
4501326 Edmunds Feb 1985 A
4501445 Gregoli Feb 1985 A
4503910 Shu Mar 1985 A
4503911 Harman et al. Mar 1985 A
4508170 Littman Apr 1985 A
4513819 Islip et al. Apr 1985 A
4515215 Hermes et al. May 1985 A
4516636 Doscher May 1985 A
4522260 Wolcott, Jr. Jun 1985 A
4522263 Hopkins et al. Jun 1985 A
4524826 Savage Jun 1985 A
4527650 Bartholet Jul 1985 A
4528104 House et al. Jul 1985 A
4530401 Hartman et al. Jul 1985 A
4532993 Dilgren et al. Aug 1985 A
4532994 Toma et al. Aug 1985 A
4535845 Brown et al. Aug 1985 A
4540049 Hawkins et al. Sep 1985 A
4540050 Huang et al. Sep 1985 A
4545435 Bridges et al. Oct 1985 A
4546829 Martin et al. Oct 1985 A
4550779 Zakiewicz Nov 1985 A
4556107 Duerksen et al. Dec 1985 A
4558740 Yellig, Jr. Dec 1985 A
4565245 Mims et al. Jan 1986 A
4565249 Pebdani et al. Jan 1986 A
4572296 Watkins Feb 1986 A
4574884 Schmidt Mar 1986 A
4574886 Hopkins et al. Mar 1986 A
4577688 Gassmann et al. Mar 1986 A
4579176 Davies et al. Apr 1986 A
4589487 Venkatesan et al. May 1986 A
4595057 Deming et al. Jun 1986 A
4597441 Ware et al. Jul 1986 A
4597443 Shu et al. Jul 1986 A
4598770 Shu et al. Jul 1986 A
4601337 Lau et al. Jul 1986 A
4601338 Prats et al. Jul 1986 A
4607695 Weber Aug 1986 A
4607699 Stephens Aug 1986 A
4607700 Duerksen et al. Aug 1986 A
4610304 Doscher Sep 1986 A
4612989 Rakach et al. Sep 1986 A
4612990 Shu Sep 1986 A
4615391 Garthoffner Oct 1986 A
4620592 Perkins Nov 1986 A
4620593 Haagensen Nov 1986 A
4635720 Chew Jan 1987 A
4637461 Hight Jan 1987 A
4637466 Hawkins et al. Jan 1987 A
4640352 Vanmeurs et al. Feb 1987 A
4640359 Livesey et al. Feb 1987 A
4641710 Klinger Feb 1987 A
4645003 Huang et al. Feb 1987 A
4645004 Bridges et al. Feb 1987 A
4646824 Huang et al. Mar 1987 A
4648835 Esienhawer et al. Mar 1987 A
4651825 Wilson Mar 1987 A
4651826 Holmes Mar 1987 A
4653583 Huang et al. Mar 1987 A
4662438 Taflove et al. May 1987 A
4662440 Harmon et al. May 1987 A
4662441 Huang et al. May 1987 A
4665035 Tunac May 1987 A
4665989 Wilson May 1987 A
4667739 Van Meurs et al. May 1987 A
4679626 Perkins Jul 1987 A
4682652 Huang et al. Jul 1987 A
4682653 Angstadt Jul 1987 A
4685515 Huang et al. Aug 1987 A
4687058 Casad et al. Aug 1987 A
4690215 Roberts et al. Sep 1987 A
4691773 Ward et al. Sep 1987 A
4694907 Stahl et al. Sep 1987 A
4696311 Muiis et al. Sep 1987 A
4697642 Vogel Oct 1987 A
4699213 Fleming Oct 1987 A
4700779 Huang et al. Oct 1987 A
4702314 Huang et al. Oct 1987 A
4702317 Shen Oct 1987 A
4705108 Little et al. Nov 1987 A
4706751 Gondouin Nov 1987 A
4707230 Ajami Nov 1987 A
4718485 Brown et al. Jan 1988 A
4718489 Hallam et al. Jan 1988 A
4727489 Frazier et al. Feb 1988 A
4727937 Shum et al. Mar 1988 A
4739831 Settlemeyer et al. Apr 1988 A
4753293 Bohn Jun 1988 A
4756369 Jennings, Jr. et al. Jul 1988 A
4757833 Danley Jul 1988 A
4759571 Stone et al. Jul 1988 A
4766958 Faecke Aug 1988 A
4769161 Angstadt Sep 1988 A
4775450 Ajami Oct 1988 A
4782901 Phelps et al. Nov 1988 A
4785028 Hoskin et al. Nov 1988 A
4785883 Hoskin et al. Nov 1988 A
4787452 Jennings, Jr. Nov 1988 A
4793409 Bridges et al. Dec 1988 A
4793415 Holmes et al. Dec 1988 A
4804043 Shu et al. Feb 1989 A
4809780 Shen Mar 1989 A
4813483 Ziegler Mar 1989 A
4817711 Jeambey Apr 1989 A
4817714 Jones Apr 1989 A
4818370 Gregoli et al. Apr 1989 A
4819724 Bou-Mikael Apr 1989 A
4828030 Jennings, Jr. May 1989 A
4828031 Davis May 1989 A
4828032 Telezke et al. May 1989 A
4834174 Vandevier May 1989 A
4834179 Kokolis et al. May 1989 A
4844155 Megyeri et al. Jul 1989 A
4846275 McKay Jul 1989 A
4850429 Mims et al. Jul 1989 A
4856587 Nielson Aug 1989 A
4856856 Phelps et al. Aug 1989 A
4860827 Lee et al. Aug 1989 A
4861263 Schirmer Aug 1989 A
4867238 Bayless et al. Sep 1989 A
4869830 Konak et al. Sep 1989 A
4874043 Joseph et al. Oct 1989 A
4877542 Lon et al. Oct 1989 A
4884155 Spash Nov 1989 A
4884635 McKay et al. Dec 1989 A
4886118 Van Meurs et al. Dec 1989 A
4892146 Shen Jan 1990 A
4895085 Chips Jan 1990 A
4895206 Price Jan 1990 A
4896725 Parker et al. Jan 1990 A
4901795 Phelps et al. Feb 1990 A
4903766 Shu Feb 1990 A
4903768 Shu Feb 1990 A
4903770 Friedeman et al. Feb 1990 A
4915170 Hoskin Apr 1990 A
4919206 Freeman et al. Apr 1990 A
4926941 Glandt et al. May 1990 A
4926943 Hoskin May 1990 A
4928766 Hoskin May 1990 A
4930454 Latty et al. Jun 1990 A
4940091 Shu et al. Jul 1990 A
4945984 Price Aug 1990 A
4947933 Jones et al. Aug 1990 A
4961467 Pebdani Oct 1990 A
4962814 Alameddine Oct 1990 A
4964461 Shu Oct 1990 A
4966235 Gregoli et al. Oct 1990 A
4969520 Jan et al. Nov 1990 A
4974677 Shu Dec 1990 A
4982786 Jennings, Jr. Jan 1991 A
4983364 Buck et al. Jan 1991 A
4991652 Hoskin et al. Feb 1991 A
5010953 Friedman et al. Apr 1991 A
5013462 Danley May 1991 A
5014787 Duerksen May 1991 A
5016709 Combe et al. May 1991 A
5016710 Renard et al. May 1991 A
5016713 Sanchez et al. May 1991 A
5024275 Anderson et al. Jun 1991 A
5025863 Haines Jun 1991 A
5027898 Naae Jul 1991 A
5036915 Wyganowski Aug 1991 A
5036917 Jennings, Jr. et al. Aug 1991 A
5036918 Jennings, Jr. et al. Aug 1991 A
5040605 Showalter Aug 1991 A
5042579 Glandt et al. Aug 1991 A
5046559 Glandt Sep 1991 A
5046560 Teletzke et al. Sep 1991 A
5052482 Gondouin Oct 1991 A
5054551 Duerksen Oct 1991 A
5056596 McKay et al. Oct 1991 A
5058681 Reed Oct 1991 A
5060726 Glandt et al. Oct 1991 A
5065819 Kasevich Nov 1991 A
5083612 Ashrawi Jan 1992 A
5083613 Gregoli et al. Jan 1992 A
5085275 Gondouin Feb 1992 A
5095984 Irani Mar 1992 A
5099918 Bridges et al. Mar 1992 A
5101898 Hong Apr 1992 A
5105880 Shen Apr 1992 A
5109927 Supernaw et al. May 1992 A
5123485 Vasicek et al. Jun 1992 A
5131471 Duerksen et al. Jul 1992 A
5145002 McKay Sep 1992 A
5145003 Duerksen Sep 1992 A
5148869 Sanchez Sep 1992 A
5152341 Kasevich et al. Oct 1992 A
5156214 Hoskin et al. Oct 1992 A
5167280 Sanchez et al. Dec 1992 A
5172763 Mohammadi et al. Dec 1992 A
5174377 Kumar Dec 1992 A
5178217 Mohammadi et al. Jan 1993 A
5186256 Downs Feb 1993 A
5197541 Hess et al. Mar 1993 A
5199488 Kasevich et al. Apr 1993 A
5199490 Surles et al. Apr 1993 A
5201815 Hong et al. Apr 1993 A
5215146 Sanchez Jun 1993 A
5215149 Lu Jun 1993 A
5236039 Edelstein et al. Aug 1993 A
5238066 Beattie et al. Aug 1993 A
5246071 Chu Sep 1993 A
5247993 Sarem et al. Sep 1993 A
5252226 Justice Oct 1993 A
5271693 Johnson et al. Dec 1993 A
5273111 Brannan et al. Dec 1993 A
5277830 Hoskin et al. Jan 1994 A
5279367 Osterloh Jan 1994 A
5282508 Ellingsen et al. Feb 1994 A
5289881 Schuh Mar 1994 A
5293936 Bridges Mar 1994 A
5295540 Djabbarah et al. Mar 1994 A
5297627 Sanchez et al. Mar 1994 A
5305829 Kumar Apr 1994 A
5318124 Ong et al. Jun 1994 A
5325918 Berryman et al. Jul 1994 A
5339897 Leaute Aug 1994 A
5339898 Yu et al. Aug 1994 A
5339904 Jennings, Jr. et al. Aug 1994 A
5350014 McKay Sep 1994 A
5358054 Bert Oct 1994 A
5361845 Jamaluddin et al. Nov 1994 A
5377757 Ng Jan 1995 A
5404950 Ng et al. Apr 1995 A
5407009 Butler et al. Apr 1995 A
5411086 Burcham et al. May 1995 A
5411089 Vinegar et al. May 1995 A
5411094 Northrop May 1995 A
5413175 Edmunds May 1995 A
5414231 Sato et al. May 1995 A
5417283 Ejiogu et al. May 1995 A
5431224 Laali Jul 1995 A
5433271 Vinegar et al. Jul 1995 A
5449038 Horton et al. Sep 1995 A
5450902 Mathews Sep 1995 A
5456315 Kinsman et al. Oct 1995 A
5458193 Horton et al. Oct 1995 A
5483801 Craze Jan 1996 A
5503226 Wadleigh Apr 1996 A
5511616 Bert Apr 1996 A
5513705 Djabbarah et al. May 1996 A
5531272 Ng et al. Jul 1996 A
5534186 Walker et al. Jul 1996 A
5542474 Djabbarah et al. Aug 1996 A
5547022 Juprasert et al. Aug 1996 A
5553974 Nazarian Sep 1996 A
5560737 Schuring et al. Oct 1996 A
5565139 Walker et al. Oct 1996 A
5589775 Kuckes Dec 1996 A
5607016 Butler Mar 1997 A
5607018 Schuh Mar 1997 A
5626191 Greaves et al. May 1997 A
5626193 Nzekwu et al. May 1997 A
5635139 Holst et al. Jun 1997 A
5646309 Hammarberg et al. Jul 1997 A
5650128 Holst et al. Jul 1997 A
5660500 Marsden, Jr. et al. Aug 1997 A
5674816 Loree Oct 1997 A
5677267 Suarez et al. Oct 1997 A
5682613 Dinatale Nov 1997 A
5685371 Richardson et al. Nov 1997 A
5691906 Togashi et al. Nov 1997 A
5709505 Williams et al. Jan 1998 A
5713415 Bridges Feb 1998 A
5720350 McGuire Feb 1998 A
5725054 Shayegi Mar 1998 A
5738937 Baychar Apr 1998 A
5765964 Calcote et al. Jun 1998 A
5771973 Jensen Jun 1998 A
5788412 Jatkar Aug 1998 A
RE35891 Jamaluddin et al. Sep 1998 E
5803171 McCaffery et al. Sep 1998 A
5803178 Cain Sep 1998 A
5813799 Calcote et al. Sep 1998 A
5823631 Herbolzheimer et al. Oct 1998 A
5826656 McGuire et al. Oct 1998 A
5860475 Ejiogu et al. Jan 1999 A
5899274 Frauenfeld et al. May 1999 A
5923170 Kuckes Jul 1999 A
5931230 Lesage et al. Aug 1999 A
5941081 Burgener Aug 1999 A
5957202 Huang Sep 1999 A
5984010 Elias et al. Nov 1999 A
6000471 Langset Dec 1999 A
6004451 Rock et al. Dec 1999 A
6012520 Yu et al. Jan 2000 A
6015015 Luft et al. Jan 2000 A
6016867 Gregoli et al. Jan 2000 A
6016868 Gregoli et al. Jan 2000 A
6026914 Adams et al. Feb 2000 A
6039116 Stevenson et al. Mar 2000 A
6039121 Kisman Mar 2000 A
6048810 Baychar Apr 2000 A
6050335 Parsons Apr 2000 A
6056057 Vinegar et al. May 2000 A
6102122 de Rouffignac Aug 2000 A
6109358 McPhee et al. Aug 2000 A
6148911 Gipson et al. Nov 2000 A
6158510 Bacon et al. Dec 2000 A
6158513 Nistor et al. Dec 2000 A
6167966 Ayasse et al. Jan 2001 B1
6173775 Elias et al. Jan 2001 B1
6186232 Isaccs et al. Feb 2001 B1
6189611 Kasevich Feb 2001 B1
6205289 Kobro Mar 2001 B1
6230814 Nasr et al. May 2001 B1
6244341 Miller Jun 2001 B1
6257334 Cyr et al. Jul 2001 B1
6263965 Schmidt et al. Jul 2001 B1
6276457 Moffatt et al. Aug 2001 B1
6285014 Beck et al. Sep 2001 B1
6305472 Richardson et al. Oct 2001 B2
6318464 Mokrys Nov 2001 B1
6325147 Doerler et al. Dec 2001 B1
6328104 Grace Dec 2001 B1
6353706 Bridges Mar 2002 B1
6357526 Abdel-Halim et al. Mar 2002 B1
6405799 Vallejos et al. Jun 2002 B1
6409226 Slack et al. Jun 2002 B1
6412557 Ayasse et al. Jul 2002 B1
6413016 Nelson et al. Jul 2002 B1
6454010 Thomas et al. Sep 2002 B1
6484805 Perkins et al. Nov 2002 B1
6536523 Kresnyak et al. Mar 2003 B1
6554067 Davies et al. Apr 2003 B1
6561274 Hayes et al. May 2003 B1
6581684 Wellington et al. Jun 2003 B2
6588500 Lewis Jul 2003 B2
6591908 Nasr Jul 2003 B2
6607036 Ranson et al. Aug 2003 B2
6631761 Yuan et al. Oct 2003 B2
6662872 Gutek et al. Dec 2003 B2
6666666 Gilbert et al. Dec 2003 B1
6681859 Hill Jan 2004 B2
6688387 Wellington et al. Feb 2004 B1
6702016 de Rouffignac et al. Mar 2004 B2
6708759 Leaute et al. Mar 2004 B2
6712136 de Rouffignac et al. Mar 2004 B2
6712150 Misselbrook et al. Mar 2004 B1
6715546 Vinegar et al. Apr 2004 B2
6715547 Vinegar et al. Apr 2004 B2
6715548 Wellington et al. Apr 2004 B2
6715549 Wellington et al. Apr 2004 B2
6719047 Fowler et al. Apr 2004 B2
6722429 de Rouffignac et al. Apr 2004 B2
6722431 Karanikas et al. Apr 2004 B2
6725920 Zhang et al. Apr 2004 B2
6729394 Hassan et al. May 2004 B1
6729395 Shahin, Jr. et al. May 2004 B2
6729397 Zhang et al. May 2004 B2
6729401 Vinegar et al. May 2004 B2
6732794 Wellington et al. May 2004 B2
6732795 de Rouffignac et al. May 2004 B2
6732796 Vinegar et al. May 2004 B2
6733636 Heins May 2004 B1
6736215 Maher et al. May 2004 B2
6736222 Kuckes et al. May 2004 B2
6739394 Vinegar et al. May 2004 B2
6742588 Wellington et al. Jun 2004 B2
6742593 Vinegar et al. Jun 2004 B2
6745831 de Rouffignac et al. Jun 2004 B2
6745832 Wellington et al. Jun 2004 B2
6745837 Wellington et al. Jun 2004 B2
6755246 Chen et al. Jun 2004 B2
6758268 Vinegar et al. Jul 2004 B2
6769486 Lim et al. Aug 2004 B2
6782947 de Rouffignac et al. Aug 2004 B2
6789625 de Rouffignac et al. Sep 2004 B2
6794864 Mirotchnik et al. Sep 2004 B2
6805195 Vinegar et al. Oct 2004 B2
6814141 Huh et al. Nov 2004 B2
6877556 Wittie et al. Apr 2005 B2
6883607 Nenniger et al. Apr 2005 B2
6962466 Vinegar et al. Nov 2005 B2
7013970 Collie et al. Mar 2006 B2
7056725 Lu Jun 2006 B1
7069990 Bilak Jul 2006 B1
7272973 Craig Sep 2007 B2
7294156 Chakrabarty Nov 2007 B2
7322409 Wittie et al. Jan 2008 B2
7363973 Nenniger et al. Apr 2008 B2
7434619 Rossi et al. Oct 2008 B2
7464756 Gates et al. Dec 2008 B2
7527096 Chung et al. May 2009 B2
7770643 Daussin Aug 2010 B2
7918269 Cavender et al. Apr 2011 B2
7975763 Banerjee et al. Jul 2011 B2
8141636 Speirs et al. Mar 2012 B2
8176982 Gil et al. May 2012 B2
8215392 Rao Jul 2012 B2
8256511 Boone et al. Sep 2012 B2
8327936 Coskuner Dec 2012 B2
8434551 Nenniger et al. May 2013 B2
8455405 Chakrabarty Jun 2013 B2
8474531 Nasr et al. Jul 2013 B2
8528642 Boone Sep 2013 B2
8596357 Nenniger Dec 2013 B2
8602098 Kwan et al. Dec 2013 B2
8616278 Boone et al. Dec 2013 B2
8684079 Wattenbarger et al. Apr 2014 B2
8752623 Sirota et al. Jun 2014 B2
8770289 Boone Jul 2014 B2
8776900 Nenniger et al. Jul 2014 B2
8783358 Critsinelis et al. Jul 2014 B2
8788251 Weng et al. Jul 2014 B2
8844639 Gupta et al. Sep 2014 B2
8857512 Nenniger et al. Oct 2014 B2
8899321 Dawson et al. Dec 2014 B2
8985205 Nenniger Mar 2015 B2
9103205 Wright et al. Aug 2015 B2
9115577 Alvestad et al. Aug 2015 B2
9316096 Bang et al. Apr 2016 B2
9341049 Hailey, Jr. et al. May 2016 B2
9347312 Vincelette et al. May 2016 B2
9359868 Scott Jun 2016 B2
9394769 Nenniger Jul 2016 B2
9488040 Chakrabarty et al. Nov 2016 B2
9506332 Saeedfar Nov 2016 B2
9644467 Chakrabarty May 2017 B2
9739123 Wheeler et al. Aug 2017 B2
9809786 Olson et al. Nov 2017 B2
9845669 Miller et al. Dec 2017 B2
9951595 Akinlade et al. Apr 2018 B2
9970282 Khaled et al. May 2018 B2
9970283 Khaled et al. May 2018 B2
10000998 Chakrabarty et al. Jun 2018 B2
10041340 Chakrabarty Aug 2018 B2
10094208 Hoier et al. Oct 2018 B2
10145226 Yee et al. Dec 2018 B2
20010009830 Bachar Jul 2001 A1
20010017206 Davidson et al. Aug 2001 A1
20010018975 Richardson et al. Sep 2001 A1
20020029881 de Rouffignac et al. Mar 2002 A1
20020033253 de Rouffignac et al. Mar 2002 A1
20020038710 Maher et al. Apr 2002 A1
20020040779 Wellington et al. Apr 2002 A1
20020046838 Karanikas et al. Apr 2002 A1
20020056551 Wellington et al. May 2002 A1
20020104651 McClung, III Aug 2002 A1
20020148608 Shaw Oct 2002 A1
20020157831 Kurlenya et al. Oct 2002 A1
20030000711 Gutek et al. Jan 2003 A1
20030009297 Mirotchnik et al. Jan 2003 A1
20060231455 Olsvik et al. Oct 2006 A1
20080115945 Lau et al. May 2008 A1
20080153717 Pomerleau et al. Jun 2008 A1
20080173447 Da Silva et al. Jul 2008 A1
20090288826 Gray Nov 2009 A1
20100258308 Speirs et al. Oct 2010 A1
20100276140 Edmunds et al. Nov 2010 A1
20100276341 Speirs et al. Nov 2010 A1
20100276983 Dunn et al. Nov 2010 A1
20100282593 Speirs et al. Nov 2010 A1
20110067882 Yeriazarian Mar 2011 A1
20110229071 Vincelette et al. Sep 2011 A1
20110272152 Kaminsky et al. Nov 2011 A1
20110272153 Boone et al. Nov 2011 A1
20110276140 Vresilovic et al. Nov 2011 A1
20110303423 Kaminsky et al. Dec 2011 A1
20120234535 Dawson et al. Sep 2012 A1
20120285700 Scott Nov 2012 A1
20130000896 Boone Jan 2013 A1
20130000898 Boone Jan 2013 A1
20130025861 Kift et al. Jan 2013 A1
20130043025 Scott Feb 2013 A1
20130045902 Thompson et al. Feb 2013 A1
20130098607 Kerr Apr 2013 A1
20130105147 Scott May 2013 A1
20130112408 Oxtoby May 2013 A1
20130153215 Scott et al. Jun 2013 A1
20130153216 Scott Jun 2013 A1
20130199777 Scott Aug 2013 A1
20130199779 Scott Aug 2013 A1
20130199780 Scott Aug 2013 A1
20130206405 Kift et al. Aug 2013 A1
20130328692 Johannessen Dec 2013 A1
20140034305 Dawson Feb 2014 A1
20140048259 Menard Feb 2014 A1
20140054028 Little et al. Feb 2014 A1
20140069641 Kosik Mar 2014 A1
20140083694 Scott et al. Mar 2014 A1
20140083706 Scott et al. Mar 2014 A1
20140096959 Hocking Apr 2014 A1
20140144627 Salazar Hernandez et al. May 2014 A1
20140174744 Boone et al. Jun 2014 A1
20140251596 Gittins et al. Sep 2014 A1
20150034555 Speirs et al. Feb 2015 A1
20150053401 Khaled et al. Feb 2015 A1
20150083407 Storm Mar 2015 A1
20150083413 Salazar et al. Mar 2015 A1
20150107833 Boone et al. Apr 2015 A1
20150107834 Shen et al. Apr 2015 A1
20150144345 Bilozir et al. May 2015 A1
20160061014 Sood et al. Mar 2016 A1
20160153270 Chen et al. Jun 2016 A1
20170030173 MacPhail Feb 2017 A1
20170051597 Akiya et al. Feb 2017 A1
20170130572 Yuan et al. May 2017 A1
20170210972 Williamson et al. Jul 2017 A1
20170241250 Singh et al. Aug 2017 A1
20180030381 Olson et al. Feb 2018 A1
20180073337 Park et al. Mar 2018 A1
20180265768 Williamson Sep 2018 A1
20190002755 Wang et al. Jan 2019 A1
20190032460 Khaled et al. Jan 2019 A1
20190032462 Motahhari et al. Jan 2019 A1
20190063199 Doraiswamy et al. Feb 2019 A1
20190119577 Witham et al. Apr 2019 A1
20190120043 Gupta et al. Apr 2019 A1
Foreign Referenced Citations (113)
Number Date Country
0603924 Aug 1960 CA
0836325 Mar 1970 CA
0852003 Sep 1970 CA
0956885 Oct 1974 CA
0977675 Nov 1975 CA
1015656 Aug 1977 CA
1027851 Mar 1978 CA
1059432 Jul 1979 CA
1061713 Sep 1979 CA
1072442 Feb 1980 CA
1295118 Feb 1992 CA
1300000 May 1992 CA
2108723 Apr 1995 CA
2108349 Aug 1996 CA
2369244 Apr 2005 CA
2147079 Oct 2006 CA
2235085 Jan 2007 CA
2281276 Feb 2007 CA
2647973 Oct 2007 CA
2304938 Feb 2008 CA
2299790 Jul 2008 CA
2633061 Jul 2008 CA
2374115 May 2010 CA
2652930 Jul 2010 CA
2621991 Sep 2010 CA
2660227 Sep 2010 CA
2730875 Aug 2012 CA
2971941 Dec 2012 CA
2436158 Jun 2013 CA
2553297 Jul 2013 CA
2654848 Oct 2013 CA
2777966 Nov 2013 CA
2781273 May 2014 CA
2804521 Jul 2014 CA
2917260 Jan 2015 CA
2917263 Jan 2015 CA
2841520 Feb 2015 CA
2785871 May 2015 CA
2691399 Sep 2015 CA
2847759 Sep 2015 CA
2893170 Nov 2015 CA
2853445 Dec 2015 CA
2854171 Dec 2015 CA
2898065 Jan 2016 CA
2962274 Jan 2016 CA
2890491 Feb 2016 CA
2893221 Apr 2016 CA
2872120 May 2016 CA
2875846 May 2016 CA
2900179 May 2016 CA
2898943 Jun 2016 CA
2897785 Jul 2016 CA
2900178 Sep 2016 CA
2707776 Nov 2016 CA
2893552 Nov 2016 CA
2935652 Jan 2017 CA
2857329 Feb 2017 CA
2915571 Feb 2017 CA
2856460 May 2017 CA
2956771 Aug 2017 CA
2981619 Dec 2017 CA
2875848 May 2018 CA
2899805 May 2018 CA
2928044 Jul 2018 CA
2974714 Sep 2018 CA
2965117 Oct 2018 CA
2958715 Mar 2019 CA
101870894 Apr 2009 CN
0144203 Jun 1985 EP
0261793 Mar 1988 EP
0283602 Sep 1988 EP
0747142 Apr 2001 EP
2852713 Sep 2004 FR
1457696 Dec 1976 GB
1463444 Feb 1977 GB
2156400 Oct 1985 GB
2164978 Apr 1986 GB
2286001 Oct 1995 GB
2357528 Jun 2001 GB
2391890 Feb 2004 GB
2391891 Feb 2004 GB
2403443 Jan 2005 GB
20130134846 May 2012 KR
198201214 Apr 1982 WO
198912728 Dec 1989 WO
199421889 Sep 1994 WO
199967503 Dec 1999 WO
200025002 May 2000 WO
200066882 Nov 2000 WO
200181239 Nov 2001 WO
200181715 Nov 2001 WO
200192673 Dec 2001 WO
200192768 Dec 2001 WO
2002086018 Oct 2002 WO
2002086276 Oct 2002 WO
2003010415 Feb 2003 WO
2003036033 May 2003 WO
2003036038 May 2003 WO
2003036039 May 2003 WO
2003036043 May 2003 WO
2003038233 May 2003 WO
2003040513 May 2003 WO
2003062596 Jul 2003 WO
2004038173 May 2004 WO
2004038174 May 2004 WO
2004038175 May 2004 WO
2004050567 Jun 2004 WO
2004050791 Jun 2004 WO
2004097159 Nov 2004 WO
2005012688 Feb 2005 WO
WO-2013135288 Sep 2013 WO
2015158371 Oct 2015 WO
2017222929 Dec 2017 WO
Non-Patent Literature Citations (51)
Entry
Al-Gosayier, M., et al. (2015) “In Situ Recovery Of Heavy-Oil From Fractured Carbonate Reservoirs: Optimization Of Steam-Over-Solvent Injection Method” Journal of Petroleum Science and Engineering, vol. 130, pp. 77-85.
Andrade, M.R., et al. (2007), “Mixotrophic cultivation of microalga Spirulina platensis using molasses as organic substrate”, Aquaculture, vol. 264, pp. 130-134.
Bayestehparvin, B., et al. (2015) “Dissolution an dMobilization of Bitumen at Pore Scale”, SPE174482-MS, Prepared for presentation at the SPE Canada Heavy Oil Technical Conference held in Calgary, Alberta, Canada, Jun. 9-11, 2015; 23 pages.
Butler, R. M. et al. (1991) “A new process (VAPEX) for recovering heavy oils using hot water and hydrocarbon vapour”, CIM/SPE Annual Technical Conference Jan.-Feb. vol. 30, No. 1, pp. 97-106.
Butler, R. M. et al. (1993) “Recovery of Heavy Oils Using Vapourized Hydrocarbon Solvents: Further Development of the Vapex Process” The Journal of Canadian Petroleum Technology, June, vol. 32, No. 6, pp. 56-64.
Castanier, L.M., et al. (2005) “Heavy oil upgrading in-situ via solvent injection and combustion: A “new” method”, EAGE 67th Conference & Exhibition—Madrid, Spain, Jun. 13-16, 2005; 4 pages.
Cristofari, J., et al. (2008) “Laboratory Investigation Of The Effect Of Solvent Injection On In-Situ Combustion” SPE 99752 prepared for presentation at the 2006 SPE/DOE Symposium on Improved Oil Recovery, Tulsa, Apr. 22-26 11 pages.
Cunha, L.B. (2005) “Recent In-Situ Oil Recovery-Technologies for Heavy- and Extraheavy-Oil Reserves”, SPE 94986, prepared for presentation at the 2005 SPE Latin American and Caribbean Petroleum Enginerring Conference held in Rio de Janeiro, Brazil, Jun. 20-23; 5 pages.
Deng, X (2005) “Recovery Performance and Economics of Steam/Propane Hybrid Process.” SPE/PS-CIM/CHOA 97760, PS2005-341, SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium, copyright, pp. 1-7.
Diaz, J. A. D. (2006) “An Experimental Study of Steam and Steam-Propane Injection Using a Novel Smart Horizontal Producer to Enhance Oil Production in the San Ardo Field.” Presentation given at Sponsor's Meeting, Crisman Institute, Aug. 3, Department of Petroleum Engineering, Texas A&M University (7 pages).
Doan, Q., et al. (2011) “Potential Pitfalls From Successful History-Match Simulation Of A Long-Running Clearwater-Fm Sagd Well Pair” SPE 147318, Prepared for presentation at the SPE Annual Technical Conference and Exhibition held in Denver, Colorado, Oct. 30-Nov. 2; 9 pages.
D'Silva, J, et al. (2008) “In-Situ Combustion With Solvent Injection” SPE 117684, Prepared for presentation at the SPE International Thermal Operations and Heavy Oil Symposium held in Calgary, Alberta, Canada, Oct. 20-23, 11 pages . . . .
D'Silva, J., et al. (2011) “Integration Of In-Situ Combustion With Solvent Injection—A Detailed Study” SPE 141570, Prepared for presentation at the SPE Projects and Facilities Challenges Conference at METS held in Doha, Qatar, Feb. 13-16, 11 pages.
Dunn-Norman, S., et al. (2002) “Recovery Methods For Heavy Oil In Ultra-Shallow Reservoirs” SPE 76710, prepared for presentation at the SPE Western Regional/AAPG Pacific Section Joint Meeting held in Anchorage, Alaska, May 20-22, 6 pages.
Frauenfeld, T.W., et al. (2006) “Economic Analysis Of Thermal Solvent Processes” Pet-Soc 2006-164; Presented at the Petroleum Socity's 7th Canadian International Peteroleum Conference (57th Annual Technical Meeting), Calgary, Alberta, Canada, Jun. 13-15, 2006; 9 pages.
Gates, I.D., et al. (2011) “Evolution Of In Situ Oil Sands Recovery Technology: What Happened And What's New?” SPE150686, Prepared for presentation at the SPE Heavy Oil Conference and Exhibition held in Kuwait City, Kuwait, Dec. 12-14, 2011; 10 pages.
Ghoodjani, E., et al. (2012) “A Review On Thermal Enhanced Heavy Oil Recovery From Fractured Carbonate Reservoirs” SPE 150147, Prepared for presentation at the SPE Heavy Oil Conference Canada held in Calgary, Alberta, Canada, Jun. 12-14, 2012; 8 pages.
Goldthorpe, S. (2013) “Cement Plant CO2 to Dme,” IEAGHG Information Paper, 2013-IP9, Jun. 2013, 1 page.
Greaser, G.R., et al. (2003) “New Thermal Recovery Tech nology and Technology Transfer for Successful Heavy Oil Development.” SPE69731, Society of Petroleum Engineers, Inc., 7 pages.
Hong, K.C. (1999) “Recent Advances in Steamflood Technology.” SPE 54078, Copyright 1999, Society of Petroleum Engineers, Inc., 14 pages.
Jaiswal, N. J. (2006) “Experimental and Analytical Studies of Hydrocarbon Yields Under Dry-, Steam-, and Steam with Propane-Distillation.” Presentation given at Crisman Institute's Halliburton Center for Unconventional Resources, Aug. 3, 2006, Department of Petroleum Engineering, Texas A&M University (5 pages).
Jiang, Q., et al. (2010) “Evaluation Of Recovery Technologies For The Grosmont Carbonate Reservoirs” Journal of Canadian Petroleum Technology, vol. 49, No. 5, pp. 56-64.
Kamal, C., et al. (2012), “Spirulina platensis—A novel green inhibitor for acid corrosion of mild steel”, Arabian Journal of Chemistry, vol. 5, pp. 155-161.
Khaledi, R., et al. (2018) “Azeotropic Heated Vapour Extraction—A New Thermal-Solvent Assisted Gravity Drainage Recovery Process”, SPE189755-MS, SPE Canada Heavy Oil Technical Conference held in Calgary, Alberta, Canada, Mar. 13-14, 2018, 20 pages.
Lei, H., et al. (2012) “An Evaluation Of Air Injection As A Follow-Up Process To Cyclic Steam Stimulation In A Heavy Oil Reservoir” SPE 150703, Prepared for presentation at the SPE Heavy Oil Conference Canada held in Calgary, Alberta, Canada, Jun. 12-14, 2012; 13 pages.
Lennox, T.R. et al. (1980) “Geology Of In Situ Pilot Project, Wabasca Oil Sands Deposit, Alberta” Saskatchewan Geological Society Special Publication No. 5; Conference and Core Seminar, Regina, Oct. 15-17, 1980; pp. 267-268.
Lim, G.B. et al. (1994) “Three Dimensional Scaled Physcial Modeling of Solvent Vapour Extraction of Cold Lake Bitumen,” Canadian SPE Int'l Conf. on Recent Advances in Horizontal Well Applications, Paper No. HWC94-46, Calgary, Canada, Mar. 20-23, 1994, 11 pages.
Lim, G.B. et al. (1995) “Cyclic Stimulation of Cold Lake Oil Sand with Supercritical! Ethane,” SPE #30298, Int'l Heavy Oil Symposium, Calgary, Alberta, Canada, Jun. 19-21, 1995, pp. 521-528.
Lyubovsky, M., et al. (2005) “Catalytic Partial ‘Oxidation of Methane to Syngas’ at Elevated Pressures,” Catalysis Letters, v. 99, Nos. 3-4, Feb. 2005, pp. 113-117.
Mamora, D. D., (2006) “Thermal Oil Recovery Research at Texas A&M in the Past Five Years—an Overview.” Presentation given at the Crisman Institute Halliburton Center for Unconventional Resources, Research Meeting Aug. 3, Department of Petroleum Engineering, Texas A&M University (13 pages).
Mert, B.D., et al. (2011) “The role of Spirulina platensis on corrosion behavior of carbon steel”, Materials Chemistry and Physics, vol. 130, pp. 697-701.
Mokrys, I. J., et al. (1993) “In-Situ Upgrading of Heavy Oils andBitumen by Propane Deasphalting: The Vapex Process” SPE 25452, Mar. 21-23, Oklahoma City, OK, pp. 409-424.
Mulac, A.J., et al. (1981) “Project Deep Steam Preliminary Field Test Bakersfield, California.” SAND80-2843, Printed Apr. 62 pages.
Naderi, K., et al. (2015) “Effect Of Bitumen Viscosity And Bitumen-Water Interfacial Tension On Steam Assisted Bitumen Recovery Process Efficiency”, Journal of Petroleum Science and Engineering 133, pp. 862-868.
Nasr, T.N., et al. (2005) “Thermal Techniques For The Recovery Of Heavy Oil And Bitumen” SPE 97488 prepared for presentation at the SPE International Improved Oil Recovery Conferencein Asia Pacific held in Kuala Lumpur, Malaysia, Dec. 5-6, 2005. 15 pages.
Nasr, T.N. et al. (2006) “New Hybrid Steam-Solvent Processes For The Recovery Of Heavy Oil And Bitumen” SPE 101717 Prepared for presentation at the Abu Dhabi International Petroleum Exhibition and Conference held in Abu Dhabi, U.A.E., Nov. 5-8, 2006; 17 pages.
National Energy Board, (2004) “Canada's Oil Sands. Opportunities and Challenges to 2015.” An Energy Market Assessment, May (158 pages).
Nexant, Inc. (2008), “Dimethyl Ether Technology and Markets,” CHEMSystems PERP Program Report 07/08S3, Dec. 2008, 7 pages.
NTIS, Downhole Steam-Generator Study, vol. 1, Conception and Feasibility Evaluation. Final Report, Sep. 1978-Sep. 1980, Sandia National Labs, Albuquerque NM, Jun. 1982. 260 pages.
Oceaneering; Website: http://www.oceaneering.com/Brochures/MFX%20%Oceaneering%20Multiflex.pdf, Oceaneering Multiflex, Oceaneering International, Incorporated, printed Nov. 23, 2005, 2 pages.
Qi, G.X. et al. (2001) “DME Synthesis from Carbon Dioxide and Hydrogen Over Cu—Mo/HZSM-5,” Catalysis Letters, V. 72, Nos. 1-2, 2001, pp. 121-124.
Redford, et al. (1980) “Hydrocarbon-Steam Processes for Recovery of Bitumen from Oil Sands” SPE8823, Prepared for presentation at the First Joint SPE/DOE Symposium on Enhanced Oil Recovery at Tulsa, Oklahoma, Apr. 20-23, 12 pages . . . .
Saeedfar, A., et al. (2018) “Critical Consideration for Analysis of RF-Thermal Recovery of Heavy Petroleum” SPE-189714-MS, Prepared for presentation at the SPE Canada Heavy Oil Technical Conference held in Calgary, Alberta, Canada, Mar. 13-14, 2018; 13 pages.
Seibert, B. H. (2012) “Sonic Azeotropic Gravity Extraction of Heavy Oil From Oil Sands”, SPE157849-MS, SPE Heavy Oil Conference Canda held in Calgary, Alberta, Canada, Jun. 12-14, 2012, 10 pages.
Sharma, J. et al. (2010) “Steam-Solvent Coupling At The Chamber Edge In An In Situ Bitumen Recovery Process” SPE 128045, Prepared for presentation at the SPE Oil and Gas India Conference and Exhibition held in Mumbai, India Jan. 20-22, 26 pages.
Stark, S.D. (2013) “Cold Lake Commercialization Of The Liquid Addition To Steam For Enhancing Recovery (Laser) Process” IPTC 16795, Prepared for presentation at the International Petroleum Technology Conference held in Beijing, China, Mar. 26-28, 2013, 15 pages.
Wan Nik, W.B., et al. (2012), “Marine Extracts as Corrosion Inhibitor for Aluminum in Seawater Applications”, International Journal of Engineering Research and Applications (IJERA), vol. 2, Issue 1; pp. 455-458.
Zhang, L. et al. (2013) “Dehydration of Methanol to Dimethyl Ether Over y—AL2O3 Catalyst: Intrinsic Kinetics and Effectiveness Factor,” Canadian Journal Of Chem. Engineering, v.91, Sep. 2013, pp. 1538-1546.
International Search Report and the Written Opinion of the International Searching Authority, or the Declaration (2 pages), International Search Report (4 pages), and Written Opinion of the International Searching Authority (6 pages) for International Application No. PCT/US2007/080985 dated Feb. 28, 2008.
International Preliminary Report on Patentability (2 pages); Written Opinion of the International Searching Authority (6 pages); dated Apr. 23, 2009 in PCT International Application No. PCT/US2007/080985 filed Oct. 10, 2007 (Total 8 pages).
Yuan, J. Y. et al., Subcool, Fluid Productivity, and Liquid Level Above a SAGD Producer; Journal of Canadian Petroleum Technology, 52 (05), pp. 360-367, 2013.
Related Publications (1)
Number Date Country
20190120043 A1 Apr 2019 US