The present disclosure generally relates to a formation testing platform for quantifying and monitoring hydrocarbon volumes and surface gas emissions using formation testing data collected by a formation testing tool.
This section is intended to introduce the reader to various aspects of art that may be related to various aspects of the present techniques, which are described and/or claimed below. This discussion is believed to be helpful in providing the reader with background information to facilitate a better understanding of the various aspects of the present disclosure. Accordingly, it should be understood that these statements are to be read in this light, and not as an admission of any kind.
Field engineers running wireline formation testing operations routinely track the volume of fluid that is pumped into the wellbore. However, from a well control standpoint, the volumes of hydrocarbons and gas that are pumped into the wellbore mud column are often not quantified or accurately monitored. A common practice is to assume that the entire volume of fluids pumped into the wellbore is hydrocarbon or gas. This approach is not very reliable and can often lead to overestimates of the volume of produced hydrocarbon volumes, resulting in unnecessary and costly wiper trips to recondition and circulate the wellbore. Recent developments in formation testing and sampling technologies provide measurements to address this challenge and to enable quantification of hydrocarbon volumes and surface gas emissions. This is enabled by making use of available downhole fluid sensor and sampling measurements in substantially real-time to accurately quantify the amounts of hydrocarbons and gas that is being pumped into the wellbore during wireline formation transient testing and sampling operations.
Hydrocarbons and associated gas or free gas that is pumped into the wellbore during sampling and testing operations will eventually reach the surface. The hydrocarbons and gas are either immediately circulated to surface during deep transient testing (DTT) operations, or they are circulated to the surface during a subsequent wiper trip after wireline formation testing operations have been completed. Once at the surface, the methane and hydrocarbon gases may be separated out or, more typically, may evaporate and be vented to the atmosphere.
A summary of certain embodiments described herein is set forth below. It should be understood that these aspects are presented merely to provide the reader with a brief summary of these certain embodiments and that these aspects are not intended to limit the scope of this disclosure.
Certain embodiments of the present disclosure include a method that includes allowing one or more fluids from a subterranean formation to flow through a formation testing tool disposed in a wellbore of a well. The method also includes determining, via the formation testing tool, data relating to one or more properties of the one or more fluids. The method further includes communicating the data relating to the one or more properties of the one or more fluids from the formation testing tool to a surface control system. In addition, the method includes determining, via the surface control system, hydrocarbon content of the one or more fluids and/or gas emissions relating to the one or more fluids based at least in part on the data relating to the one or more properties of the one or more fluids.
Certain embodiments of the present disclosure also include a system that includes a formation testing tool configured to receive one or more fluids from a subterranean formation while the formation testing tool is disposed in a wellbore of a well, and to determine data relating to one or more properties of the one or more fluids. The system also includes a surface control system configured to receive the data relating to the one or more properties of the one or more fluids from the formation testing tool, and to determine hydrocarbon content of the one or more fluids and/or gas emissions relating to the one or more fluids based at least in part on the data relating to the one or more properties of the one or more fluids.
Certain embodiments of the present disclosure also include a formation testing platform configured to receive one or more fluids from a subterranean formation while a formation testing tool is disposed in a wellbore of a well, to determine data relating to one or more properties of the one or more fluids, and to determine hydrocarbon content of the one or more fluids and/or gas emissions relating to the one or more fluids based at least in part on the data relating to the one or more properties of the one or more fluids.
Various refinements of the features noted above may be undertaken in relation to various aspects of the present disclosure. Further features may also be incorporated in these various aspects as well. These refinements and additional features may exist individually or in any combination. For instance, various features discussed below in relation to one or more of the illustrated embodiments may be incorporated into any of the above-described aspects of the present disclosure alone or in any combination. The brief summary presented above is intended to familiarize the reader with certain aspects and contexts of embodiments of the present disclosure without limitation to the claimed subject matter.
Various aspects of this disclosure may be better understood upon reading the following detailed description and upon reference to the drawings, in which:
One or more specific embodiments of the present disclosure will be described below. These described embodiments are only examples of the presently disclosed techniques. Additionally, in an effort to provide a concise description of these embodiments, all features of an actual implementation may not be described in the specification. It should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another. Moreover, it should be appreciated that such a development effort might be complex and time consuming, but would nevertheless be a routine undertaking of design, fabrication, and manufacture for those of ordinary skill having the benefit of this disclosure.
When introducing elements of various embodiments of the present disclosure, the articles “a,” “an,” and “the” are intended to mean that there are one or more of the elements. The terms “comprising,” “including,” and “having” are intended to be inclusive and mean that there may be additional elements other than the listed elements. Additionally, it should be understood that references to “one embodiment” or “an embodiment” of the present disclosure are not intended to be interpreted as excluding the existence of additional embodiments that also incorporate the recited features.
As used herein, the terms “connect,” “connection,” “connected,” “in connection with,” and “connecting” are used to mean “in direct connection with” or “in connection with via one or more elements”; and the term “set” is used to mean “one element” or “more than one element.” Further, the terms “couple,” “coupling,” “coupled,” “coupled together,” and “coupled with” are used to mean “directly coupled together” or “coupled together via one or more elements.”
In addition, as used herein, the terms “real time”, “real-time”, or “substantially real time” may be used interchangeably and are intended to describe operations (e.g., computing operations) that are performed without any human-perceivable interruption between operations. For example, as used herein, data relating to the systems described herein may be collected, transmitted, and/or used in control computations in “substantially real time” such that data readings, data transfers, and/or data processing steps occur once every second, once every 0.1 second, once every 0.01 second, or even more frequently, during operations of the systems (e.g., while the systems are operating). In addition, as used herein, the terms “continuous”, “continuously”, or “continually” are intended to describe operations that are performed without any significant interruption. For example, as used herein, control commands may be transmitted to certain equipment every five minutes, every minute, every 30 seconds, every 15 seconds, every 10 seconds, every 5 seconds, or even more often, such that operating parameters of the equipment may be adjusted without any significant interruption to the closed-loop control of the equipment. In addition, as used herein, the terms “automatic”, “automated”, “autonomous”, and so forth, are intended to describe operations that are performed are caused to be performed, for example, by a computing system (i.e., solely by the computing system, without human intervention).
The formation testing platform described herein provides measurements of pressure, temperature, volumetric flowrate, and total flowed volume, among other operational parameters, versus elapsed time. In addition, the embodiments described herein include downhole fluid analysis (DFA) sensors to measure and determine fluid properties such as hydrocarbon composition (e.g., weight fractions of CO2, C1, C2, C3, C4, C5, C6+, and so forth), fluid density, mud filtrate contamination level, gas/oil ratio (GOR), and formation volume factors, among other properties, during a test station. Through integration of the DFA sensor measurements with the station transient data such as flowrate, mass and molar flowrates may be derived for each component, and the total mass and mole of gas pumped from the formation, in substantially real time every time fluid is pumped out from the formation into the wellbore. The mass rate of the individual components can then be converted to surface rates and surface volumes, thereby enabling accurate determination and monitoring of surface gas emissions resulting from any downhole fluid pumped during formation testing and sampling operations. In addition, the embodiments described herein include a workflow to enable effective monitoring and control of surface gas emissions during formation testing operations. The ability to quantify and monitor surface emissions is also an important first step to help enable reductions in CO2 and greenhouse gas emissions, which also aligns with global sustainable development goals.
In certain embodiments, the one or more processors 38 may include a microprocessor, a microcontroller, a processor module or subsystem, a programmable integrated circuit, a programmable gate array, a digital signal processor (DSP), or another control or computing device. In certain embodiments, the one or more storage media 40 may be implemented as one or more non-transitory computer-readable or machine-readable storage media. In addition, in certain embodiments, the one or more storage media 40 may include one or more different forms of memory including semiconductor memory devices such as dynamic or static random access memories (DRAMs or SRAMs), erasable and programmable read-only memories (EPROMs), electrically erasable and programmable read-only memories (EEPROMs) and flash memories; magnetic disks such as fixed, floppy and removable disks; other magnetic media including tape; optical media such as compact disks (CDs) or digital video disks (DVDs); or other types of storage devices. Note that the processor-executable instructions and associated data of the analysis module(s) 36 may be provided on one computer-readable or machine-readable storage medium of the storage media 40, or alternatively, may be provided on multiple computer-readable or machine-readable storage media distributed in a large system having possibly plural nodes. Such computer-readable or machine-readable storage medium or media are considered to be part of an article (or article of manufacture), which may refer to any manufactured single component or multiple components. In certain embodiments, the one or more storage media 40 may be located either in the machine running the machine-readable instructions, or may be located at a remote site from which machine-readable instructions may be downloaded over a network for execution.
In certain embodiments, the processor(s) 38 may be connected to a network interface 42 of the surface control system 18 to allow the surface control system 18 to communicate with various surface sensors 44 and/or downhole sensors 46 described herein, as well as communicate with various actuators 48 and/or PLCs 50 of surface equipment 52 (e.g., surface pumps, valves, and so forth) and/or of downhole equipment 54 (e.g., the formation testing tool 10, electric submersible pumps, other downhole tools, and so forth) for the purpose of controlling operation of the oil and gas well system illustrated in
In certain embodiments, the surface control system 18 may include a display 60 configured to display a graphical user interface to present results on the control of the formation testing operations described herein. In addition, in certain embodiments, the graphical user interface may present other information to operators of the equipment 52, 54 described herein. For example, the graphical user interface may include a dashboard configured to present visual information to the operators. In certain embodiments, the dashboard may show live (e.g., real-time) data as well as the results of the control of the formation testing operations described herein.
In addition, in certain embodiments, the surface control system 18 may include one or more input devices 62 configured to enable operators to, for example, provide commands to the equipment 52, 54 described herein. For example, in certain embodiments, the formation testing tool 10 may provide information to the operators regarding the formation testing operations, and the operators may implement actions relating to the formation testing operations by manipulating the one or more input devices 62, as described in greater detail herein. In certain embodiments, the display 60 may include a touch screen interface configured to receive inputs from operators. For example, an operator may directly provide instructions to the formation testing tool 10 via the user interface, and the instructions may be output to the formation testing tool 10 via a controller and a communication system of the formation testing tool 10.
It should be appreciated that the surface control system 18 illustrated in
As described above, the embodiments described herein include a formation testing tool 10 configured to perform reservoir fluid analysis by drawing in formation fluid and testing the formation fluid downhole or collecting a sample of the formation fluid to bring to the surface. For example, in certain embodiments, the formation testing tool 10 may use a probe and/or packers to isolate a desired region of the wellbore 12 (e.g., at a desired depth) and establish fluid communication with the subterranean formation 14 surrounding the wellbore 12. The probe may draw the formation fluid into the formation testing tool 10. For example,
As described in greater detail herein, the formation testing tool 10 also includes a fluid analysis module 28 configured to analyze the fluid flowing through the sampling flowline 68 and the guard flowline 70. In particular, the fluid analysis module 28 may include a sampling fluid analyzer 76 and a guard fluid analyzer 78 configured to analyze the fluid flowing through the respective flowlines 68, 70. In addition, as described above, the formation testing tool 10 includes one or more fluid collecting chambers 32, 34 configured to store the fluid samples. In addition, in certain embodiments, the formation testing tool 10 may include a power cartridge 80 configured to receive electrical power from the cable 16 and supply suitable voltages to the electronic components of the formation testing tool 10.
In addition, as described above, the formation testing tool 10 includes a tool control system 22 (not explicitly shown in
In certain embodiments, the one or more processors 84 may include a microprocessor, a microcontroller, a processor module or subsystem, a programmable integrated circuit, a programmable gate array, a digital signal processor (DSP), or another control or computing device. In certain embodiments, the one or more storage media 86 may be implemented as one or more non-transitory computer-readable or machine-readable storage media. In addition, in certain embodiments, the one or more storage media 86 may include one or more different forms of memory including semiconductor memory devices such as dynamic or static random access memories (DRAMs or SRAMs), erasable and programmable read-only memories (EPROMs), electrically erasable and programmable read-only memories (EEPROMs) and flash memories; or other types of storage devices. Such computer-readable or machine-readable storage medium or media are considered to be part of an article (or article of manufacture), which may refer to any manufactured single component or multiple components. In addition, in certain embodiments, the processor(s) 84 may be connected to a network interface 88 of the tool control system 22 to allow the tool control system 22 to communicate with the surface control system 18.
As described in greater detail herein, the formation testing platform described herein performs various specific analysis including, but not limited to, (1) determining the total pumped volume of fluid flowing through the formation testing tool 10, (2) determining the mass of gas of the individual components of the fluid flowing through the formation testing tool 10, and (3) determining the volume of individual gas components, (equivalent) greenhouse gas, and total volume of gas at the surface.
When fluid is pumped from a formation 14 into the formation testing tool 10, the fluid is moved from an inlet of the formation testing tool 10, through the sample flowline 68 and the guard flowline 70, and either deposited in the wellbore 12 or circulated to the surface. Volumetric flowrate and live fluid density of the fluid may be measured by the formation testing tool 10, along with the flowing temperature and pressure. In one or more embodiments, the volumetric flowrate may be determined by counting a number of turns of the motor of a known volume. Further, in one or more embodiments, the fluid density of the fluid within the sample flowline 68 may be measured by a first density sensor 47a and the fluid density of the fluid within the guard flowline 70 may be measured by a second density sensor 47b. In addition, the volumetric flowrate and the fluid density may be calculated by the formation testing tool 10 separately for each of the sampling flowline 68 and the guard flowline 70 when the fluid is different within each flowline 68, 70.
The formation testing tool 10 may be operated in various different modes. For example, in certain embodiments, the formation testing tool 10 may be operated in a focused mode with two pump modules 72, 74 on a single flowline toolstring (e.g.,
The gas mass for each component in a pumped mixture (of hydrocarbon and filtrate) is of particular importance in dynamic well control (e.g., predicting the interaction of pumped fluids with the mud in the wellbore 12) and to track the mass of pumped gas and surface gas emissions. By computing this quantitative indicator in substantially real time, a pumped gas log may be generated for real-time monitoring and control.
For wells containing oil-based mud (OBM), the hydrocarbon will dissolve in the wellbore mud. When circulated to the surface, most of the gaseous components will come out of solution, and may be vented to the atmosphere as free gas (or potentially flared or otherwise treated). The fraction of gas that comes out of solution at the surface is called the vapor fraction. The vapor fractions of CO2, C1, C2, C3, C4 and C5 depends on the type of oil, while C6+ is mainly a liquid component. The vapor fractions may be estimated in many different ways, including empirical methods, correlations, or by using a convolutional neural network (CNN) model, a recurrent neural network (RNN) model, or an artificial neural network (ANN) model, or other model. In certain embodiments, the input to determine the vapor fractions may be based on the measured fluid GOR, density, other measured fluid properties, and potentially mud-type and circulation rate. Alternatively, some vapor fractions may be set to 1 for certain mud/hydrocarbon combinations. For example, in the case of wells containing water-based mud (WBM) the CO2, C1, and C2 vapor fractions might be set to 1. Note that in certain environments, it may be preferred to estimate an upper limit of the pumped gas rather than taking the risk of underestimation. Therefore, under certain scenarios, the vapor fractions of C3-C5 may be regarded as 1 if there is no better estimation.
Alternatively, in certain embodiments, the individual component mass rates determined in the workflow 100 may be determined by dividing the mass of each component by total molecular weight first to determine the molecular rate, which may then be multiplied by the total molecular volume to determine the individual volume rates of each component. These can be summed over time to determine the individual component total volume at the surface.
In certain embodiments, determining the actual gas emission rates at the surface at standard conditions during DTT operations includes combining the wellbore volume and mud circulation rates. The mass rate and volume rates predicted in workflows 110, 112 may arrive at the surface, delayed by the circulation time, which is the wellbore volume divided by the mud circulation rates.
In certain embodiments, both methane and carbon dioxide are considered “greenhouse gas”. The mass and volume of these gases may be measured directly using the techniques described herein. Methane is much more potent than carbon dioxide when it comes to trapping heat in the atmosphere. It is, therefore, relatively important to be able to quantify the CO2 equivalent effect of CH4 and the CO2 emissions in case CH4 is flared. However, it is important to note measurements of CH4 and CO2 emissions are needed to be able to apply these conversions.
In certain embodiments, the summing of the total gas may be performed in an alternative manner by, for example, giving extra weight to heavier fractions using weighting factors. As but one non-limiting example, the total gas could be calculated using the equation:
The information determined by the workflows 90, 100, 112 illustrated in
As another example, in certain embodiments, the reduction of emissions compared to other technologies may be quantified. The ability to quantify the emissions of each method/technology is a relatively important first step in reducing the total emissions. During DTT operations, the volume pumped to generate the pressure-transient build up is considerably larger than during wireline formation testing operations, but orders of magnitude smaller than during drill string testing (DST) operations. However, during a DST the produced HC are typically flared. The reduced volumes during a DTT (compared to a DST) result in less produced hydrocarbon at the surface. However, without quantifying the actual volume of gas released at the surface, it may be relatively difficult to do a quantitively emission comparison between different services, to quantify the emission effects of DTT design changes, such as changing the flowrate, flow duration, or the number of stations, and to quantify the emission effects of changing mud type and circulation rates.
As another example, in certain embodiments, before a formation testing operation, the pressure and formation fluid volume pumping limits may be simulated in advance. Doing so may serve as the limiting factor in the amount of hydrocarbons allowed to pump into the well. During the formation testing operations, the formation testing tool 10 may pump fluids continuously, and the volume of pumped hydrocarbons or gas may either fully or partially dissolve in OBM or be suspended in the wellbore 12 in WBM environments. In both cases a plume of gas-cut mud may tend to initiate and then accumulate downhole in the wellbore 12 near the test interval depths. These hydrocarbon plumes tend to remain downhole until they are circulated out. In certain embodiments, the formation testing tool 10 may measure the flowrate, composition, density, water fraction, and so forth, in substantially real time, and the methods described herein may be used to accurately estimate the total mass of gas. Formation testing operations may continue until the total gas mass limit is reached. The current limits are typically set based on total volume pumped rather than the mass of the gaseous components. It should be noted that because the amount of gas may be accurately estimated rather than relying on overly conservative limits (which is the current practice), the methods described herein allow unnecessary wiper trips to be prevented and mitigate potential well control risks.
In certain embodiments, after the formation testing run, drill pipe is lowered into the well. The gas-cut plume of mud may be pushed upwards by the displacement of the drill string. The amount of gas-cut mud needs to be limited, so that the plume stays below a safe depth and below the blowout preventer (BOP). When the drill pipe reaches target depth (TD), the plume may be circulated out of the hole.
The specific embodiments described above have been illustrated by way of example, and it should be understood that these embodiments may be susceptible to various modifications and alternative forms. It should be further understood that the claims are not intended to be limited to the particular forms disclosed, but rather to cover all modifications, equivalents, and alternatives falling within the spirit and scope of this disclosure.
This application claims benefit of U.S. Provisional Application No. 63/269,907 entitled “Systems and Methods for Quantifying and Monitoring Hydrocarbon Volumes and Surface Gas Emissions for Wireline Formation Testing,” filed Mar. 25, 2022, the disclosure of which is incorporated herein by reference in its entirety.
Filing Document | Filing Date | Country | Kind |
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PCT/US2023/016362 | 3/27/2023 | WO |
Number | Date | Country | |
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63269907 | Mar 2022 | US |