Fracturing treatments are commonly used in subterranean operations, among other purposes, to stimulate the production of desired fluids (e.g., oil, gas, water, etc.) from a subterranean formation. For example, hydraulic fracturing treatments generally involve pumping a treatment fluid (e.g., a fracturing fluid) into a well bore that penetrates a subterranean formation at a sufficient hydraulic pressure to create or enhance one or more fractures in the subterranean formation. The creation and/or enhancement of these fractures may enhance the production of fluids from the subterranean formation.
Understanding stimulation fluid path in horizontal and vertical wells during hydraulic fracturing operation in unconventional reservoirs is always a challenge for the oil and gas industry. For example, during hydraulic fracturing operation an operator may have to determine perforation parameters. Parameters may include stage length, spacing between clusters, how many clusters, how many holes to shoot per cluster, etc. The ability for an operator to have insights for dynamics of flowpath discrete elements behavior during hydraulic fracturing operations as well as diagnostics pumping procedures may be beneficial.
These drawings illustrate certain aspects of some of the present disclosure, and should not be used to limit or define the disclosure.
The systems, methods, and/or compositions disclosed herein may relate to subterranean operations and, in some systems and methods for determining how perforations of a wellbore may operate in an underground formation. Perforation parameters may be described as adding (opening) perforation hole/cluster and/or difference in number of holes/clusters between any of the two moments during the hydraulic fracturing treatments. These parameters may be utilized to enhance hydraulic fracturing operation.
Referring now to
Systems and methods of the present disclosure may be implemented, at least in part, with an information handling system 140. Information handling system 140 may include any instrumentality or aggregate of instrumentalities operable to compute, estimate, classify, process, transmit, receive, retrieve, originate, switch, store, display, manifest, detect, record, reproduce, handle, or utilize any form of information, intelligence, or data for business, scientific, control, or other purposes. For example, information handling system 140 may be a personal computer 142, a network storage device, or any other suitable device and may vary in size, shape, performance, functionality, and price. Information handling system 140 may include random access memory (RAM), one or more processing resources such as a central processing unit (CPU) or hardware or software control logic, ROM, and/or other types of nonvolatile memory. Additional components of information handling system 140 may include one or more disk drives, one or more network ports for communication with external devices as well as various input and output (I/O) devices, such as a keyboard 144, a mouse, and a video display 146. Information handling system 140 may also include one or more buses operable to transmit communications between the various hardware components.
Alternatively, systems and methods of the present disclosure may be implemented, at least in part, with non-transitory computer-readable media. Non-transitory computer-readable media may include any instrumentality or aggregation of instrumentalities that may retain data and/or instructions for a period of time. Non-transitory computer-readable media may include, for example, storage media 148 such as a direct access storage device (e.g., a hard disk drive or floppy disk drive), a sequential access storage device (e.g., a tape disk drive), compact disk, CD-ROM, DVD, RAM, ROM, electrically erasable programmable read-only memory (EEPROM), and/or flash memory; as well as communications media such wires, optical fibers, microwaves, radio waves, and other electromagnetic and/or optical carriers; and/or any combination of the foregoing.
In examples, information handling system 128 may communicate with the plurality of sensors (not illustrated) through a communication line 150, which may monitor fluid handling system 102. In examples, wireless communication may be used to transmit information back and forth between information handling system 140 and the plurality of sensors. Information handling system 140 may transmit information to the plurality of sensors and may receive as well as process information recorded by the plurality of sensors. In addition, the plurality of sensors may include a downhole information handling system (not illustrated), which may also be disposed within wellbore 104. Processing may be performed at surface with information handling system 140, downhole with the downhole information handling system, or both at the surface and downhole. The downhole information handling system may include, but is not limited to, a microprocessor or other suitable circuitry, for estimating, receiving and processing signals received by the plurality of sensors. The downhole information handling system may further include additional components, such as memory, input/output devices, interfaces, and the like.
P=A+C√{square root over (Q)}+DQ
2 (1)
It should be noted that P is pressure, Q is flowrate, and A, C, and D are identified coefficients determined below. During the simulation all discrete elements may be identical. The difference between pressure response 302 and data points 304 may be caused only by difference in elements (N). Also dynamic addition of the discrete elements may be observed on the plot as sudden drops (red data points).
P=A+δQ
α (2)
Where δ represents the coefficient of variation. Any step change in parameter δ may be described as function of number of flow elements:
Δδ=f(n) (3)
During pumping operations very often it is impossible to determine current number of flowpath elements 200 (e.g., referring to
S
min
=ϑN (4)
And ratio of two states of δ is equal to inverse ratio of number of elements of those states to some power m. Value of m depends on contribution of each term in Equation (3):
The presented method assumes α=1, and A is known and equal to local minimum in-situ stress although other choices are feasible. Knowing the ratio of elements (nj/ni) is useful for determining the effectiveness of perforation treatments like diverter drops and to decide on the future course of action to optimize this ratio.
Assuming relationship is linear or NWB friction is prevailing or perforation friction is prevailing respectively:
n
2=1.66n1, n2=3.7n1, n2=1.28n1 (7)
Improvements over current technology may provide in situ pressure diagnostics, identify current perforation conditions during fracturing operations, and/or allow for an operator to make stimulation decisions during fracking operations.
This systems and methods may include any of the various features of the compositions, methods, and system disclosed herein, including one or more of the following statements.
Statement 1. A method may comprise plotting treatment data to form a plot of the treatment data; fitting a function to the plot of the treatment data; determining an intercept of the function; calculating one or more coefficients; plotting the one or more coefficients on a histogram; and identifying one or more active flowpath elements on the histogram.
Statement 2. The method of statement 1, wherein the plotting the treatment data is a pressure in view of a flow rate.
Statement 3. The method of statements 1 or 2, wherein the intercept is defined as a zero flow rate.
Statement 4. The method of statements 1-3, further comprising displaying the histogram on a video display.
Statement 5. The method of statement 4, further comprising displaying a scatter plot of the treatment data and a treatment chart in real time.
Statement 6. The method of statements 1-3, further comprising determining one or more local maximums on the histogram.
Statement 7. The method of statement 6, further comprising determining distance between one or more major modes on the histogram.
Statement 8. The method of statements 1-3 or 6, further comprising plotting a plurality of coefficients on the histogram over an identified period of time.
Statement 9. The method of statement 8, wherein the active flowpath element is a ratio of the plurality of coefficients over the identified period of time.
Statement 10. The method of statements 1-3, 6, or 8, wherein the plotting the treatment data is volumetric flow rate in view of pressure divided by density.
Statement 11. A method may comprise disposing a casing into a formation; perforating the casing with one or more elements; plotting treatment data to form a plot of the treatment data; fitting a linear function to the plot of the treatment data; determining an intercept of the function; calculating a coefficient at the intercept; plotting the coefficient on a histogram; and identifying one or more active flowpath elements from the histogram.
Statement 12. The method of statement 11, wherein the plotting the treatment data is a pressure in view of a flow rate.
Statement 13. The method of statements 11 or 12, wherein the intercept is defined as a zero flow rate.
Statement 14. The method of statements 11-13, further comprising displaying the histogram on a video display.
Statement 15. The method of statement 14, further comprising displaying a scatter plot of the treatment data and a treatment chart in real time.
Statement 16. A system may comprise a fluid handling system. The fluid handling system may comprise a fluid supply vessel, wherein the fluid supply vessel is disposed on a surface; pumping equipment, wherein the pumping equipment it attached to the fluid supply vessel and disposed on the surface; wellbore supply conduit, wherein the wellbore supply conduit is attached to the pumping equipment and disposed in a formation; and a plurality of flowpath elements, wherein the flowpath elements fluidly couple the wellbore supply conduit to the formation. The system may further comprise an information handling system configured to plot treatment data to form a plot of the treatment data; fit a function to the plot of the treatment data; determine an intercept of the function; calculate one or more coefficients; plot the one or more coefficients on a histogram; and identify one or more active flowpath elements from the histogram.
Statement 17. The system of statement 16, wherein the plotting the treatment data is a pressure in view of a flow rate.
Statement 18. The system of statements 16 or 17, wherein the intercept is defined as a zero flow rate.
Statement 19. The system of statements 16-18, further comprising displaying the histogram on a video display.
Statement 20. The system of statements 16-19, further comprising displaying a scatter plot of the treatment data and a treatment chart in real time.
The preceding description provides various examples of the systems and methods of use disclosed herein which may contain different method steps and alternative combinations of components. It should be understood that, although individual examples may be discussed herein, the present disclosure covers all combinations of the disclosed examples, including, without limitation, the different component combinations, method step combinations, and properties of the system. It should be understood that the compositions and methods are described in terms of “comprising,” “containing,” or “including” various components or steps, the compositions and methods can also “consist essentially of” or “consist of” the various components and steps. Moreover, the indefinite articles “a” or “an,” as used in the claims, are defined herein to mean one or more than one of the element that it introduces.
For the sake of brevity, only certain ranges are explicitly disclosed herein. However, ranges from any lower limit may be combined with any upper limit to recite a range not explicitly recited, as well as, ranges from any lower limit may be combined with any other lower limit to recite a range not explicitly recited, in the same way, ranges from any upper limit may be combined with any other upper limit to recite a range not explicitly recited. Additionally, whenever a numerical range with a lower limit and an upper limit is disclosed, any number and any included range falling within the range are specifically disclosed. In particular, every range of values (of the form, “from about a to about b,” or, equivalently, “from approximately a to b,” or, equivalently, “from approximately a-b”) disclosed herein is to be understood to set forth every number and range encompassed within the broader range of values even if not explicitly recited. Thus, every point or individual value may serve as its own lower or upper limit combined with any other point or individual value or any other lower or upper limit, to recite a range not explicitly recited.
Therefore, the present examples are well adapted to attain the ends and advantages mentioned as well as those that are inherent therein. The particular examples disclosed above are illustrative only, and may be modified and practiced in different but equivalent manners apparent to those skilled in the art having the benefit of the teachings herein. Although individual examples are discussed, the disclosure covers all combinations of all of the examples. Furthermore, no limitations are intended to the details of construction or design herein shown, other than as described in the claims below. Also, the terms in the claims have their plain, ordinary meaning unless otherwise explicitly and clearly defined by the patentee. It is therefore evident that the particular illustrative examples disclosed above may be altered or modified and all such variations are considered within the scope and spirit of those examples. If there is any conflict in the usages of a word or term in this specification and one or more patent(s) or other documents that may be incorporated herein by reference, the definitions that are consistent with this specification should be adopted.
Filing Document | Filing Date | Country | Kind |
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PCT/US2018/064300 | 12/6/2018 | WO | 00 |