Patent Grant
11268369
This disclosure relates to wellbore drilling.
To form a wellbore into a geologic formation, a drill bit pulverizes a path through the geological formation. During the drilling process, drilling fluid is circulated to cool and lubricate the bit, remove the pulverized bits of the formation (also known as “cuttings”), and maintain a static pressure on the reservoir formation. In some instances, during the drilling process, a high loss zone can be encountered. A high loss zone is a zone in which drilling circulation fluid is lost from the wellbore to the geologic formation. Circulation fluid can be expensive and is normally recirculated through the wellbore continuously. When circulation is lost to the geologic formation in the high-loss zone, more circulation fluid is often added at great expense. In addition, the loss of fluid reduces the static pressure on the geologic formation. Such a loss in pressure can result in a “kick”, or a pressurized release of hydrocarbons from the wellbore. When a high loss formation is encountered, loss control materials can be added to the drilling circulation fluid to plug the high loss zone. The loss control material is able to plug the high loss zone by becoming lodged within the pores and fractures located in the walls of the wellbore.
This specification describes technologies relating to smart systems for selection of wellbore drilling fluid loss circulation material.
Certain aspects of the subject matter described in this disclosure can be implemented as a wellbore drilling system. The system includes multiple particulate distribution analyzers (PSDs), a particulates reservoir coupled to the multiple PSDs and a processing system coupled to both. Each PSD is configured to determine a size distribution of particulates in a wellbore drilling fluid circulated through the wellbore drilling system. Each PSD is coupled to a respective wellbore drilling fluid flow pathway. The particulates include lost circulation material (LCM) configured to reduce loss of the wellbore drilling fluid into a geologic formation in which the wellbore is being drilled. The particulates reservoir is configured to carry particulates of different physical properties and to release certain particulates into a drilling fluid tank of the wellbore drilling system to be mixed with the wellbore drilling fluid circulated through the drilling fluid tank. The processing system is configured to perform operations while drilling the wellbore. The processing system receives drilling parameters identifying wellbore drilling conditions of the wellbore drilling system. The processing system receives size distributions of particulates in the wellbore drilling fluid from the multiple PSDs. The processing system controls the particulates reservoir to release the certain particulates into the drilling fluid tank based, in part, on the received drilling parameters and the received size distributions of the particulates.
In certain aspects combinable with any of the other aspects, the multiple PSDs can include three PSDs coupled to three respective wellbore drilling fluid flow pathways. The first pathway is between a drilling fluid pump and a drilling rig. The second pathway is between the drilling rig and a shaker system. The third pathway is between the shaker system and the drilling fluid tank.
In certain aspects combinable with any of the other aspects, the particulates reservoir includes a fine particulates reservoir containing particulates of a first size distribution, a medium particulates reservoir containing particulates of a second size distribution greater than the first size distribution and a coarse particulates reservoir containing particulates of a third size distribution greater than the second size distribution. Each particulates reservoir is coupled to the drilling fluid tank. The first particulates reservoir is configured to release a quantity of the particulates of the first size distribution into the drilling fluid tank in response to a first controlling signal from the processing system. The medium particulates reservoir is configured to release a quantity of the particulates of the second size distribution into the drilling fluid tank in response to a second controlling signal from the processing system. The third particulates reservoir is configured to release a quantity of the particulates of the third size distribution into the drilling fluid tank in response to a third controlling signal from the processing system.
In certain aspects combinable with any of the other aspects, each particulate size distribution analyzer is configured to determine the size distribution of particulates in the wellbore drilling fluid circulated through the respective wellbore drilling fluid flow pathway during wellbore drilling.
In certain aspects combinable with any of the other aspects, a concentration of the particulates in the wellbore drilling fluid decrease during the wellbore drilling operations. The processing system is configured to perform operations including determining, based on the received drilling parameters and the received size distributions of the particulates, a quantity of the particulates to be added to the wellbore drilling fluid to increase the concentration of the particulates to a level sufficient to reduce the loss of the wellbore drilling fluid into a geologic formation in which the wellbore is being drilled.
In certain aspects combinable with any of the other aspects, the processing system is configured to perform operations including periodically providing, as outputs, concentrations of the particulates in the wellbore drilling fluid during the wellbore drilling operations.
In certain aspects combinable with any of the other aspects, the different physical properties of the particulates include a particulate size ranging between 1 micrometer and 2,000 micrometer.
Certain aspects of the subject matter described here can be implemented as a method. While a wellbore is being drilled in a geologic formation, drilling parameters identifying wellbore drilling conditions of a wellbore drilling system drilling the wellbore are received. The wellbore drilling system flows a wellbore drilling fluid including particulates of different size distributions. The particulates operate as LCM to reduce loss of the wellbore drilling fluid in the geologic formation. Size distributions of the particulates in the wellbore drilling fluid flowing through multiple different wellbore fluid flow pathways of the wellbore drilling system are received. The size distributions represent a concentration of the particulates in the wellbore drilling fluid. A release of certain particulates into the wellbore drilling fluid is controlled based, in part, on the received drilling parameters and the received size distributions of the particulates.
In certain aspects combinable with any of the other aspects, the drilling parameters include a rate of penetration of a drill bit, a flow rate of the wellbore drilling fluid through the wellbore, and a rate of loss of the wellbore drilling fluid in the geologic formation in which the wellbore is being drilled.
In certain aspects combinable with any of the other aspects, a concentration of the particulates in the wellbore drilling fluid decreases during the wellbore drilling operations. Based on the received drilling parameters and the received size distributions of the particulates, a quantity of the particulates to be added to the wellbore drilling fluid to increase the concentration of the particulates to a level sufficient to reduce the loss of the wellbore drilling fluid into a geologic formation in which the wellbore is being drilled, is determined.
In certain aspects combinable with any of the other aspects, periodically, concentrations of the particulates in the wellbore drilling fluid are provided as outputs during the wellbore drilling operation.
In certain aspects combinable with any of the other aspects, the certain particulates include one or more of particulates of a first size distribution, particulates of a second size distribution greater than the first size distribution, and particulates of a third size distribution greater than the second size distribution.
Certain aspects of the subject matter described here can be implemented as a wellbore drilling system. A drilling fluid tank is configured to carry wellbore drilling fluid. A wellbore pump is configured to pump the wellbore drilling fluid during a wellbore drilling operation. A wellbore drilling rig is configured to support wellbore drilling equipment configured to drill the wellbore in a geologic formation during the wellbore drilling operation. A shaker system is configured to remove cuttings carried by the wellbore drilling fluid during the wellbore drilling operations. The system includes multiple PSDs, each configured to determine a size distribution of particulates in a wellbore drilling fluid circulated through the wellbore drilling system. Each PSD is coupled to a respective wellbore drilling fluid flow pathway through which the wellbore drilling fluid is flowed. The particulates include LCM configured to reduce loss of the wellbore drilling fluid into the geologic formation in which the wellbore is being drilled. A system is coupled to the multiple PSDs. The processing system is configured to perform operations while drilling the wellbore. The processing system receives drilling parameters identifying wellbore drilling conditions of the wellbore drilling system. The processing system is configured to receive size distributions of particulates in the wellbore drilling fluid from the multiple PSDs. The processing system is configured to release the certain particulates into the drilling fluid tank based, in part, on the received drilling parameters and the received size distributions of the particulates.
In certain aspects, combinable with any of the other aspects, the multiple PSDs can include three PSDs coupled to three respective wellbore drilling fluid flow pathways. The first pathway is between a drilling fluid pump and a drilling rig. The second pathway is between the drilling rig and a shaker system. The third pathway is between the shaker system and the drilling fluid tank.
In certain aspects combinable with any of the other aspects, the particulates reservoir includes a fine particulates reservoir containing particulates of a first size distribution, a medium particulates reservoir containing particulates of a second size distribution greater than the first size distribution and a coarse particulates reservoir containing particulates of a third size distribution greater than the second size distribution. Each particulates reservoir is coupled to the drilling fluid tank. The first particulates reservoir is configured to release a quantity of the particulates of the first size distribution into the drilling fluid tank in response to a first controlling signal from the processing system. The medium particulates reservoir is configured to release a quantity of the particulates of the second size distribution into the drilling fluid tank in response to a second controlling signal from the processing system. The third particulates reservoir is configured to release a quantity of the particulates of the third size distribution into the drilling fluid tank in response to a third controlling signal from the processing system.
In certain aspects combinable with any of the other aspects, each particulate size distribution analyzer is configured to determine the size distribution of particulates in the wellbore drilling fluid circulated through the respective wellbore drilling fluid flow pathway during wellbore drilling.
In certain aspects combinable with any of the other aspects, a concentration of the particulates in the wellbore drilling fluid decrease during the wellbore drilling operations. The processing system is configured to perform operations including determining, based on the received drilling parameters and the received size distributions of the particulates, a quantity of the particulates to be added to the wellbore drilling fluid to increase the concentration of the particulates to a level sufficient to reduce the loss of the wellbore drilling fluid into a geologic formation in which the wellbore is being drilled.
The details of one or more implementations of the subject matter described in this specification are set forth in the accompanying drawings and the description below. Other features, aspects, and advantages of the subject matter will become apparent from the description, the drawings, and the claims.
Like reference numbers and designations in the various drawings indicate like elements.
When encountering a high-loss zone, a large volume of drilling fluid can be lost into the geologic formation accompanied by a quick drop of the fluid column within the wellbore. The drop of fluid column can trigger various drilling problems such as stuck pipe, wellbore instability, a kick, or a blowout, all of which can lead to side tracking or abandonment of a well. The possibility of causing various drilling problems increases with increasing delay in controlling the loss of circulation fluid. Loss control materials (LCMs) can be used to mitigate losses of drilling fluid when a high-loss zone is encountered during drilling operations. LCMs can include particulates or hydratable fluids to block off the high-loss zone. Particulates block the high loss zone by becoming trapped within rock-pores and fractures along the wellbore wall through which the drilling fluid passes into the geologic formation. Effective control of the loss of whole fluid requires the deposition of a resilient, stable, and tight seal that can maintain integrity and stability during changing in-situ stress conditions, depleted reservoir conditions, varying tectonic conditions, fluctuating operating conditions under high surge and swabbing pressures, and many other downhole conditions, in order to provide short, as well as long term, control of whole fluid losses. Significant amounts of resilient LCM can often be needed to isolate a high-loss zone. Such large amounts can have significant financial costs.
This disclosure describes a smart and automated system to monitor, in real-time, drilling fluids, specifically, drilling fluids that are flowed out of the wellbore during a drilling operation and treated before being re-circulated into the wellbore. The system includes a central processor (Smart Processor Box) connected to multiple particulate size distribution (PSD #1, PSD #2, PSD #3) subsystems. Each PSD is positioned in a respective drilling fluid flow pathway. Specifically, PSD #1 is in the pathway between the flow pump and the drilling rig, PSD #2 is in the flow pathway between the drilling rig and the shale shakers, and PSD #3 is in the flow pathway between the shale shakers and the mud tank. Each PSD is configured to measure the size distribution of particulates in their respective flow pathways, and to transmit the size distribution to the Smart Processor Box. The Smart Processor Box is also connected to a computer system that provides drilling parameters including a rate of penetration (ROP), flow rate and losses rate. Based on the drilling parameters and the size distributions received from the PSDs, the Smart Processor Box determines drilling fluid treatment parameters to optimize drilling. Drilling fluid treatment includes adding particulates of different sizes to the drilling fluid in the mud tank. The drilling fluid treatment parameters includes the particulate sizes—fine, medium, large—and a quantity of the particulates. The Smart Processor Box can further run a full diagnostic test of the surface mud system, and communicate the results of the diagnostic test to a central operational computer.
The system can monitor LCM particulate sizes and can match the pore throat size distribution or micro-fracture sizes from original or secondary permeability. The system can detect variation in the size of the particulates used for sealing and bridging the formations while drilling. Based on the detection, the system can specify modifications to the drilling fluid (for example, periodic addition of LCMs). The system can further model particulate size distribution desired in the drilling fluid to prevent losses into the formation. The system can be implemented to mitigate, decrease or prevent issues associated with lost circulation, such as, seepage losses, differential sticking and plugging of downhole equipment. In this manner, the efficiency of drilling fluid systems can be improved, cost associated with a drilling rig fighting drilling fluid losses can be reduced and premature downhole tool plugging and failures can be mitigated, decreased or prevented.
For example, a wellbore drilling fluid tank 108 carries the drilling fluid. A wellbore pump 110 (or pumps) is fluidically connected to the drilling fluid tank 108 and to the drilling rig 112 through respective flow pathways (for example, piping or tubing). The pump 110 draws the drilling fluid from the drilling fluid tank 108 and flows the drilling fluid into the formation through the drill string and the drill bit, and to the surface through the annulus, as described earlier. A shaker system 114 is connected to the drilling rig 112, specifically, to the surface of the wellbore, and to the drilling fluid tank 108 through respective flow pathways. The shaker system 114 receives the drilling fluid exiting the well and removes (for example, filters) cuttings and other debris from the geologic formation. The drilling fluid is then flowed to the drilling fluid tank 108, from where the wellbore pump 110 repeats the drilling fluid circulation process.
Prior to commencing the drilling operation, the drilling fluid is loaded with particulates to serve as lost circulation material (LCM). The particulates have certain physical properties (for example, size, shape, composition, to name a few) that make the particulates suitable to prevent loss of the drilling fluid into the geologic formation and minimize differential sticking issues due to thick and poor quality filter cakes. Loss Circulation Material are used in drilling fluids applications to prevent or remediate fluid losses into formation. The materials are composed of different minerals, granular and packs of fibrous-shaped, spherical and elongated particles. Such particles can be collected from the surface or from underground mineral mines, and can include marble, gravel, sand, quartz, silica, graphite, coal, mica and other raw natural materials. They are also made from proprietary blends from paper pulp, mineral agglomerates, diatomaceous earth, cement, polymers, cellulose and organic fibers, synthetic and plastic fibers between others. Loss Circulation Materials are deformable, brittle, with some resiliency, resistant to high temperatures and bacterial attack, compatible with all drilling tools and all fluids systems (water—based and oil-based drilling fluids), with different alkalinities, specific gravities and bulk densities, sized and grinded down to match fine, medium and coarse particle sizes, and seal fractures into the formations bring drilled through. The physical properties and a concentration of the particulates in the drilling fluid are modeled to match fracture widths or pore throats. As the drilling fluid carrying the particulates is circulated through the wellbore drilling system, the concentration of the particulates decreases, in part, because the particulates enter the geologic formation and mitigate, decrease or prevent drilling fluid loss into the formation. In some instances, some of the particulates may be filtered by the shaker system 114. Over time, the drilling fluid needs to be made up, that is, the concentration of the particulates increased, so that the particulates can serve as effective LCMs.
To this end, a lost circulation monitoring system is operatively coupled to the wellbore drilling system. The monitoring system includes multiple particulate size distribution analyzers (for example, analyzer 102a, analyzer 102b, analyzer 102c). Each particulate size distribution analyzer can determine a size distribution of particulates in the wellbore drilling fluid circulated through the wellbore drilling system 100. Each particulate size distribution analyzer is coupled to a respective wellbore drilling fluid flow pathway (for example, flow pathway 103a, flow pathway 103b, flow pathway 103c). As described in detail later, each particulate size distribution analyzer can analyze particulates being carried in the drilling fluid to determine a size distribution of the particulates.
In the example implementation shown in and described with reference to
As described earlier, the LCM particulates are added to the drilling fluid tank 108 and flowed into the wellbore at the drilling rig 112. A certain quantity of the particulates can be lost during circulation through the wellbore. Thus, the concentration of the particulates in the drilling fluid that flow past the first particulate size distribution analyzer 102a can be less than the concentration of the particulates in the drilling fluid that flow past the second particulate size distribution analyzer 102b. A shaker system 114 can further remove (that is, filter) another quantity of the particulates in the drilling fluid. Thus, the concentration of the particulates in the drilling fluid that flow past the third particulate size distribution analyzer 102c can be less than the concentration of the particulates in the drilling fluid that flow past the second particulate size distribution analyzer 102b.
The lost circulation monitoring system also includes a particulates reservoir 106 which is coupled to the drilling fluid tank 108. The particulates reservoir 106 carries multiple LCM particulates of different physical properties, for example, different sizes, shapes, compositions and other physical properties. The reservoir 106 is coupled to the drilling fluid tank 108 to transfer quantities of each of the different types of the LCM particulates from the reservoir 106 into the drilling fluid tank 108. The particulates released by the reservoir 106 are mixed with the drilling fluid in the drilling fluid tank 108, thereby making up the drilling fluid to account for decreases in the concentrations of the LCM particulates in the drilling fluid.
The lost circulation monitoring system additionally includes a processing system 104 that is coupled to the multiple particulate size distribution analyzers and to the reservoir 106. In some implementations, the processing system 104 can be implemented as a computer system that includes one or more processors and a computer-readable medium storing instructions executable by the one or more processors to perform operations described in this disclosure. Alternatively or in addition, the processing system 104 can be implemented as processing circuitry, hardware, firmware or combinations of them. The processing system 104 can be operatively coupled to other components via wired or wireless data networks or combinations of them. In some implementations, the processing system 104 can receive drilling parameters identifying wellbore drilling conditions of the wellbore drilling system 100, as described later. The processing system 104 can additionally receive size distributions of the particulates in the wellbore drilling fluid from the multiple particulate size distribution analyzers. Based, in part, on the received drilling parameters and the received size distributions of the particulates, the processing system 104 can control the reservoir 106 to release certain particulates into the drilling fluid tank 108 to make up the drilling fluid.
Each particulate size distribution analyzer can measure particulate size distribution in the range of 1 micrometer to 2,000 micrometers. The nature of the particulates used in drilling fluids generally depends upon physical properties of the source material, for example, the material's origin, its specific gravity and the milling process used to form the particulates. Based on size distributions, particulates are termed as D10 (meaning that 90% of the particulates are larger than 1 micrometer and 10% are smaller than 1 micrometer), D50 (meaning that 50% of the particulates are bigger than 10 micrometers and 50% are smaller than 10 micrometers) and D90 (meaning that 10% of the particulates are bigger than 100 micrometer and 90% are smaller than 100 micrometer). Each particulate size distribution analyzer can implement laser diffraction on wet particulates while drilling to determine the size distribution. In some implementations, a Particle Size Distribution analyzer is an equipment that uses Laser diffraction to read all particle sizes on a given sample. That sample is removed from the flow path way, collected and analyzed and data is reported as a frequency by reporting the full probabilistic distribution D10 (90% of the particles above this size in microns), D50 (50% of the particles above this size and 50% below this size in microns) and D90 (10% of the particles above this size in microns). In some implementations, PSD readings can be provided every 10 minutes. In general, each analyzer can measure the size of any particle in the drilling fluid including, for example, cuttings carried by the drilling fluid from the geologic formation to the surface of the wellbore.
As described earlier, the processing system 104 receives particulate size distributions measured by each particulate size distribution analyzer. Also, as described earlier, the processing system 104 receives drilling parameters 208. In some implementations, the drilling parameters can be received from multiple sensors (not shown), each measuring one or more drilling parameters. For example, the sensors can measure a rate of penetration of the drill bit, a flow rate of the drilling fluid through the wellbore drilling system 100, rate of drilling fluid loss, to name a few. Additional drilling parameters that can be measured by one or more additional sensors can include, for example, percentage of cuttings coming out of the shaker system 114 and LCM background concentration.
The processing system 104 can store (for example, in the computer-readable medium 304) one or more rheology models that identify a desired viscosity value for the drilling fluid and concentrations of particulates that need to be added to the drilling fluid tank 108 to achieve this concentration. In general, the rheology models can predict and estimate based on density, drilling fluid rheology, solids content, temperature and funnel viscosity, a solids background by using pre-loaded data from previous intervals drilled. For example, the rheology models can include an initial physical properties of the particulates in the drilling fluid such as concentration, size distribution, to name a few. Using the drilling parameters 208 received from the sensors and the particulate size distribution received from the particulate size distribution analyzers, the processing system 104 can determine a change in the physical properties of the drilling fluid that has been circulated through the wellbore drilling system 100. For example, based on the drilling fluid flow rate and the size distribution of particulates, the processing system 104 can determine that a concentration of the particulates has decreased from an initial concentration. In response, the processing system 104 can determine a quantity of the particulates to be added to the drilling fluid to make up the lost concentration. In addition, the processing system 104 can identify different particulate types (for example, D10, D50 or D90) and the quantity of each particulate type to be added to the drilling fluid.
Certain equations and algorithms that the processing system 104 can store and execute to implement the techniques described in this disclosure are described here.
Description of Variables
D10=Probabilistic Distribution (90% of particles above this size, microns)
D50=Probabilistic Distribution, median (50% of particles above this size & 50% below this size, microns)
D90=Probabilistic Distribution, (10% of particles above this size, microns)
XD10=X product D10
XD50=X product D50
XD90=X product D90
YD10=Y product D10
YD50=Y product D50
YD90=Y product D90
ZD10=Z product D10
ZD50=Z product D50
ZD90=Z product D90
XYZD10=D10 of the mix XYZ
XYZD50=D50 of the mix XYZ
XYZD90=D90 of the mix XYZ
Concentration=Mass/volume, pounds per barrel (ppb)
Xppb=Concentration of X product, ppb
Yppb=Concentration of Y product, ppb
Zppb=Concentration of Z product, ppb
XYZppb: Total concentration of the mix, ppb
% Xppb=% by concentration: Fraction of X product in the total mix XYZppb
% Yppb=% by concentration: Fraction of Y product in the total mix XYZppb
Zppb=% by concentration: Fraction of Z product in the total mix XYZppb
Rules
Formation Pore throat or micro-fracture aperture=FD10, FD50, FD90 (from thin section analysis, permeability data or SEM).
FD10 should be same than XYZD10 for perfect match, but not less. If it is, need to compensate by modifying addition of Xppb, Y, ppb or Zppb (Use Delta formula below).
FD50 should be same than XYZD50 for perfect match, but not less. If it is, need to compensate by modifying addition of Xppb, Y, ppb or Zppb (Use Delta formula below).
FD90 should be same XYZD90 for perfect match, but not less. If it is, need to compensate by modifying addition of Xppb, Y, ppb or Zppb (Use Delta formula below).
% Xppb+% Yppb+% Zppb must be equal to 100%
Considerations for Optimization
DeltaXYZD10: Modification required to fill the gap between XYZD10 and FD10.
DeltaXYZD50: Modification required to fill the gap between XYZD50 and FD50.
DeltaXYZD90: Modification required to fill the gap between XYZD90 and FD90.
Equations
XD10*%Xppb+YD10*%Yppb+ZD10*%Zppb=XYZD10
XD50*%Xppb+YD50*%Yppb+ZD50*%Zppb=XYZD50
XD90*%Xppb+YD90*%Yppb+ZD90*%Zppb=XYZD90
Xppb=%Xppb*XYZppb
Yppb=%Yppb*XYZppb
Zppb=%Zppb*XYZppb
Subzero=Initial values
Sub1=Reading at a given moment
DeltaXYZD10=XYZD101−XYZD100
DeltaXYZD50=XYZD501−XYZD500
DeltaXYZD90=XYZD901−XYZD900
Other Variables After Optimization and Getting Data
Attrition degree: Disintegration of the particle with the time due to flow conditions while drilling. Processing system will be able to plot, anticipate and predict attrition degree at a given rate of penetration and flow rate while drilling and adjust hourly additions automatically, as a correction factor in the calculations after some time of implementation.
A10, A50, A90=Contingency value to correct modifications (Delta values) and it is represented as a fraction.
ADeltaXYZD10=DeltaXYZD10/A10
ADeltaXYZD50=DeltaXYZD50/A50
ADeltaXYZD90=DeltaXYZD90/A90
In the implementation described earlier, the processing system 104 determined the quantity of each particulate in response to and based, in part, on the drilling parameters and the particulate size distributions received from the analyzers. In some implementations, the processing system 104 can predictively determine the quantity of each particulate without relying on the drilling parameters or the particulate size distributions received from the analyzers. To do so, initially, the processing system 104 can determine and store different quantities of particulates to be added to the drilling fluid over time. For example, for an initial duration, the processing system 104 can periodically (for example, once every minute, once every 2 to 3 minutes or more frequently than once every minute) receive drilling parameters and particulate size distributions. The processing system 104 can store the received information, for example, in the computer-readable medium 304. Using the received information, the processing system 104 can determine multiple quantities of particulates to add to the drilling fluid and store the multiple quantities, for example, in the computer-readable medium 304. Over time and by executing statistical operations, the processing system 104 can develop a history of particulate concentrations added to the drilling fluid based on a history of drilling conditions and particulate size distributions. Subsequently, the processing system 104 can use the history and, without requiring additional drilling parameters or particulate size distributions, determine quantities of particulates needed to make-up the drilling fluid.
In the example implementation described earlier, the processing system 104 received drilling parameters and particulate size distributions periodically. In some implementations, the processing system 104 can receive and process the information in real-time. By real-time, it is meant that a duration to receive successive inputs or a duration to process a received input and produce an output is less than 1 milli-second or 1 nano-second depending on the specifications of the processor 302. In some implementations, the processing system 104 can process the information in real-time and periodically provide outputs of processing the information at a different frequency. For example, the processing system 104 can provide instructions to add particulates to the drilling fluid tank 108, for example, once every minute, once every 2 to 3 minutes or more frequently than once every minute. Alternatively or in addition, the processing system 104 can provide the concentrations of the particulates in the drilling fluid as outputs periodically (for example, in real-time or otherwise), for example, for display in a display device or transmission to a remote computer system. The outputs can provide a diagnostic of the losses experienced during the wellbore drilling operation.
Returning to
Air compressors will be connected to each reservoir. These compressors will be coupled with lines from the reservoirs to the mix tank 108. The processor box will emit a signal that will activate the air compressor depending on the data processed and the need of each particulate from each reservoir. The processor box will emit another signal to stop the compressor(s) once PSD #1 (102a) is satisfied. In addition and in some cases, each reservoir will contain weighting systems to determine the exact quantity of the particulates on each reservoir and the need to refill.
While this specification contains many specific implementation details, these should not be construed as limitations on the scope of what may be claimed, but rather as descriptions of features specific to particular implementations of particular systems or methods. Certain features that are described in this specification in the context of separate implementations can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable sub combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can, in some cases, be excised from the combination, and the claimed combination may be directed to a sub combination or variation of a sub combination.
Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Moreover, the separation of various system components in the implementations described above should not be understood as requiring such separation in all implementations, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.
Thus, particular implementations of the subject matter have been described. Other implementations are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In certain implementations, multitasking and parallel processing may be advantageous.
A number of implementations have been described. Nevertheless, it will be understood that various modifications may be made without departing from the spirit and scope of the disclosure. For example, although the system is described as being wireless, it can include wired communication between at least parts of the system. Accordingly, other implementations are within the scope of the following claims.
This application is a Continuation of and claims priority to U.S. patent application Ser. No. 15/961,500, filed on Apr. 24, 2018, of which the entire contents the application is incorporated herein by reference.
| Number | Name | Date | Kind |
|---|---|---|---|
| 1812044 | Grant | Jun 1931 | A |
| 3335801 | Wilsey | Aug 1967 | A |
| 3557875 | Solum et al. | Jan 1971 | A |
| 4058163 | Yandell | Nov 1977 | A |
| 4384625 | Roper et al. | May 1983 | A |
| 4399873 | Lindsey, Jr. | Aug 1983 | A |
| 4458761 | Van Vreeswyk | Jul 1984 | A |
| 4482014 | Allwin et al. | Nov 1984 | A |
| 4646842 | Arnold et al. | Mar 1987 | A |
| 4674569 | Revils et al. | Jun 1987 | A |
| 4681159 | Allwin et al. | Jul 1987 | A |
| 4693328 | Furse et al. | Sep 1987 | A |
| 4852654 | Buckner | Aug 1989 | A |
| 4855820 | Barbour | Aug 1989 | A |
| 4944348 | Whiteley et al. | Jul 1990 | A |
| 4993493 | Arnold | Feb 1991 | A |
| 5152342 | Rankin et al. | Oct 1992 | A |
| 5390742 | Dines et al. | Feb 1995 | A |
| 5947213 | Angle | Sep 1999 | A |
| 6009948 | Flanders et al. | Jan 2000 | A |
| RE36556 | Smith | Feb 2000 | E |
| 6152221 | Carmicheal et al. | Nov 2000 | A |
| 6163257 | Tracy | Dec 2000 | A |
| 6234250 | Green et al. | May 2001 | B1 |
| 6378628 | McGuire et al. | Apr 2002 | B1 |
| 6527066 | Rives | Mar 2003 | B1 |
| 6550534 | Brett | Apr 2003 | B2 |
| 6577244 | Clark et al. | Jun 2003 | B1 |
| 6662110 | Bargach et al. | Dec 2003 | B1 |
| 6684953 | Sonnier | Feb 2004 | B2 |
| 6691779 | Sezginer et al. | Feb 2004 | B1 |
| 6739398 | Yokley et al. | May 2004 | B1 |
| 6752216 | Coon | Jun 2004 | B2 |
| 6873267 | Tubel et al. | Mar 2005 | B1 |
| 6899178 | Tubel | May 2005 | B2 |
| 6938698 | Coronado | Sep 2005 | B2 |
| 7219730 | Tilton et al. | May 2007 | B2 |
| 7228902 | Oppelt | Jun 2007 | B2 |
| 7243735 | Koederitz et al. | Jul 2007 | B2 |
| 7252152 | LoGiudice et al. | Aug 2007 | B2 |
| 7278492 | Braddick | Oct 2007 | B2 |
| 7419001 | Broussard | Sep 2008 | B2 |
| 7581440 | Meek | Sep 2009 | B2 |
| 7654334 | Manson | Feb 2010 | B2 |
| 7665537 | Patel et al. | Feb 2010 | B2 |
| 7677303 | Coronado | Mar 2010 | B2 |
| 7938192 | Rytlewski | May 2011 | B2 |
| 7940302 | Mehrotra et al. | May 2011 | B2 |
| 8028767 | Radford et al. | Oct 2011 | B2 |
| 8102238 | Golander et al. | Jan 2012 | B2 |
| 8191635 | Buske et al. | Jun 2012 | B2 |
| 8237585 | Zimmerman | Aug 2012 | B2 |
| 8334775 | Tapp et al. | Dec 2012 | B2 |
| 8424605 | Schultz et al. | Apr 2013 | B1 |
| 8448724 | Buske et al. | May 2013 | B2 |
| 8469084 | Clark et al. | Jun 2013 | B2 |
| 8528668 | Rasheed | Sep 2013 | B2 |
| 8540035 | Xu et al. | Sep 2013 | B2 |
| 8750513 | Renkis | Jun 2014 | B2 |
| 8789585 | Leising et al. | Jul 2014 | B2 |
| 8800655 | Bailey | Aug 2014 | B1 |
| 8833472 | Hay | Sep 2014 | B2 |
| 8919431 | Lott | Dec 2014 | B2 |
| 8925213 | Sallwasser | Jan 2015 | B2 |
| 8991489 | Redlinger et al. | Mar 2015 | B2 |
| 9038718 | Karimi | May 2015 | B1 |
| 9051792 | Herberg et al. | Jun 2015 | B2 |
| 9091148 | Moffitt et al. | Jul 2015 | B2 |
| 9121255 | Themig et al. | Sep 2015 | B2 |
| 9140100 | Daccord et al. | Sep 2015 | B2 |
| 9157294 | Kleppa et al. | Oct 2015 | B2 |
| 9187959 | Treviranus et al. | Nov 2015 | B2 |
| 9208676 | Fadell et al. | Dec 2015 | B2 |
| 9341027 | Radford et al. | May 2016 | B2 |
| 9494003 | Carr | Nov 2016 | B1 |
| 9506318 | Brunet | Nov 2016 | B1 |
| 9546536 | Schultz et al. | Jan 2017 | B2 |
| 20020148607 | Pabst | Oct 2002 | A1 |
| 20030001753 | Cernocky et al. | Jan 2003 | A1 |
| 20040060741 | Shipalesky et al. | Apr 2004 | A1 |
| 20040156264 | Gardner et al. | Aug 2004 | A1 |
| 20050273302 | Huang et al. | Dec 2005 | A1 |
| 20060081375 | Ruttley | Apr 2006 | A1 |
| 20060086497 | Ohmer et al. | Apr 2006 | A1 |
| 20060107061 | Holovacs | May 2006 | A1 |
| 20060260799 | Broussard | Nov 2006 | A1 |
| 20060290528 | MacPherson et al. | Dec 2006 | A1 |
| 20070057811 | Mehta | Mar 2007 | A1 |
| 20070107911 | Miller et al. | May 2007 | A1 |
| 20070187112 | Eddison et al. | Aug 2007 | A1 |
| 20070261855 | Brunet | Nov 2007 | A1 |
| 20080041631 | Vail, III | Feb 2008 | A1 |
| 20080115574 | Meek | May 2008 | A1 |
| 20090045974 | Patel | Feb 2009 | A1 |
| 20090050333 | Smith | Feb 2009 | A1 |
| 20090114448 | Laird et al. | May 2009 | A1 |
| 20090188718 | Kaageson-Loe | Jul 2009 | A1 |
| 20090223670 | Snider | Sep 2009 | A1 |
| 20090289808 | Prammer | Nov 2009 | A1 |
| 20100097205 | Script | Apr 2010 | A1 |
| 20100101786 | Lovell et al. | Apr 2010 | A1 |
| 20100212891 | Stewart et al. | Aug 2010 | A1 |
| 20100212900 | Eddison et al. | Aug 2010 | A1 |
| 20100212901 | Buytaert | Aug 2010 | A1 |
| 20100258298 | Lynde et al. | Oct 2010 | A1 |
| 20100282511 | Maranuk et al. | Nov 2010 | A1 |
| 20110067884 | Burleson et al. | Mar 2011 | A1 |
| 20110073329 | Clemens et al. | Mar 2011 | A1 |
| 20110127044 | Radford et al. | Jun 2011 | A1 |
| 20110147014 | Chen et al. | Jun 2011 | A1 |
| 20110240302 | Coludrovich, III | Oct 2011 | A1 |
| 20110266004 | Hallundbaek et al. | Nov 2011 | A1 |
| 20120085540 | Heijnen | Apr 2012 | A1 |
| 20120175135 | Dyer et al. | Jul 2012 | A1 |
| 20120241154 | Zhou | Sep 2012 | A1 |
| 20120247767 | Themig et al. | Oct 2012 | A1 |
| 20120307051 | Welter | Dec 2012 | A1 |
| 20120312560 | Bahr et al. | Dec 2012 | A1 |
| 20130128697 | Contant | May 2013 | A1 |
| 20130153245 | Knobloch et al. | Jun 2013 | A1 |
| 20140060844 | Barbour et al. | Mar 2014 | A1 |
| 20140083769 | Moriarty et al. | Mar 2014 | A1 |
| 20140090898 | Moriarty et al. | Apr 2014 | A1 |
| 20140126330 | Shampine et al. | May 2014 | A1 |
| 20140139681 | Jones, Jr. et al. | May 2014 | A1 |
| 20140166367 | Campbell et al. | Jun 2014 | A1 |
| 20140172306 | Brannigan | Jun 2014 | A1 |
| 20140208847 | Baranov | Jul 2014 | A1 |
| 20140308203 | Sheinberg et al. | Oct 2014 | A1 |
| 20150027706 | Symms | Jan 2015 | A1 |
| 20150090459 | Cain et al. | Apr 2015 | A1 |
| 20150152713 | Garcia et al. | Jun 2015 | A1 |
| 20150176362 | Prieto et al. | Jun 2015 | A1 |
| 20150267500 | Van Dongen et al. | Sep 2015 | A1 |
| 20150308203 | Lewis | Oct 2015 | A1 |
| 20160160578 | Lee | Jun 2016 | A1 |
| 20160215612 | Morrow | Jul 2016 | A1 |
| 20160230508 | Jensen | Aug 2016 | A1 |
| 20160237764 | Jellison et al. | Aug 2016 | A1 |
| 20160237768 | Jamison et al. | Aug 2016 | A1 |
| 20160356152 | Croux | Dec 2016 | A1 |
| 20170074071 | Tzallas et al. | Mar 2017 | A1 |
| 20170191919 | Kulkarni | Jul 2017 | A1 |
| 20180030810 | Saldanha | Feb 2018 | A1 |
| Number | Date | Country |
|---|---|---|
| 201902206 | Jul 2011 | CN |
| 103003519 | Mar 2013 | CN |
| 204177988 | Feb 2015 | CN |
| 377234 | Oct 1989 | EP |
| 618345 | Oct 1994 | EP |
| 2692982 | May 2014 | EP |
| 2835493 | Feb 2015 | EP |
| 2157743 | Oct 1985 | GB |
| 2261238 | Dec 1993 | GB |
| 2460096 | Nov 2009 | GB |
| 2470762 | Dec 2010 | GB |
| 2003058545 | Jul 2003 | WO |
| 2011038170 | Mar 2011 | WO |
| 2011095600 | Aug 2011 | WO |
| 2011159890 | Dec 2011 | WO |
| 2016007139 | Jan 2016 | WO |
| Entry |
|---|
| GCC Examination Report in GCC Appln. No. GC 2019-37420, dated Oct. 1, 2020, 4 pages. |
| International Search Report and Written Opinion issued in International Application No. PCT/US20109/025282 dated Jun. 27, 2019, 13 pages. |
| Engineering Innovation Worldwide, TIW XPAK Liner Hanger System brochure, 2015 TIW Corporation, Houston TX , TIW0001D Jun. 2015, retrieved form the internet at: http://www.tiwoiltools.com/Images/Interior/downloads/tiw_xpak_brochure.pdf, 4 pages. |
| Engineers Edge—ACME Stub Threads Size Designation Table Chart, retrieved from the internet at: http://www.engineersedge.com/hardware/acme-stub-thread.htm, retrieved Feb. 27, 2017, 2 pages. |
| Mi Swaco: A Schlumberger Company, “Intelligent Fluids Monitoring System,” available on or before Mar. 11, 2015, [retrieved May 1, 2018] retrieved from URL: <https://www.slb.com/resources/other_resources/brochures/miswaco/intelligent_fluids_monitoring_brochure.aspx>, 8 pages. |
| Offshore, “Completions Technology: Large monobore completions prevent high-volume gas well flow restrictions”, Dec. 1, 2001, retrieved from the internet: ⋅ http://www.offshore-mag.com/articles/print/volume-61/issue-12/news/completions-technology-large-monobore-completions-prevent-high-volume-gas-well-flow-restrictions.html, 9 pages. |
| GCC Examination Report in GCC Appln. No. GC 2019-37420, dated Apr. 21, 2020, 5 pages. |
| CN Office Action in Chinese Appln. No. 201980038207.9, dated Jun. 29, 2021, 16 pages, with English Translation. |
| Number | Date | Country | |
|---|---|---|---|
| 20200256180 A1 | Aug 2020 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 15961500 | Apr 2018 | US |
| Child | 16859265 | US |
