Prediction method, device and equipment for critical sand production pressure difference of gas storage and storage medium

Abstract

The invention discloses a method, device and equipment for predicting the critical sand production pressure difference of a gas storage and a storage medium. The method comprises the steps that injection-production types of all oil and gas wells associated with a target gas storage are obtained; wherein the injection and production types comprise a recycling injection and production well, a new drilling well and a single production well; according to the injection-production type of each oil-gas well, reservoir parameters matched with each oil-gas well are determined; and according to the reservoir parameters matched with the oil and gas wells, the critical sand production pressure difference of the oil and gas wells is determined. According to the technical scheme, the problem that the prediction accuracy of the critical sand production pressure difference of the gas storage is low is solved, sand production operation management of the gas storage is carried out according to the critical sand production pressure difference prediction result obtained through the scheme, and the single-well peak regulation capacity can be fully exerted while safe production of a gas storage well is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of natural gas injection and production technology, and in particular to a method, device, electronic equipment and storage medium for predicting a critical sand production pressure difference of a gas storage reservoir. Background Art

[0002] Underground gas storage facilities, which alternately operate with high-volume injection and production over long periods of time, are more susceptible to sand production than conventional oil and gas wells. Due to the large injection and production volumes and high flow rates, sand production in gas storage wells can easily lead to failure of downhole tubing and surface pipelines. Therefore, it is crucial to accurately predict the critical sand production differential pressure to maximize the injection and production capacity of gas storage wells while ensuring that sand production does not occur in the reservoir.

[0003] Currently, sand production prediction is commonly performed for gas storage wells to guide production pressure differential design based on the critical sand production differential pressure. While the critical sand production differential pressure obtained by existing sand production prediction methods can ensure that injection and production wells do not produce sand, it fails to fully utilize the injection and production capacity of individual wells. Therefore, a method is urgently needed to predict the critical sand production differential pressure of gas storage facilities to fully utilize the peak-shaving capacity of individual wells while ensuring safe production. Summary of the Invention

[0004] The present invention provides a method, device, equipment and storage medium for predicting the critical sanding pressure difference of a gas storage reservoir to solve the problem of low prediction accuracy of the critical sanding pressure difference of a gas storage reservoir. The sanding operation management of the gas storage reservoir is carried out according to the critical sanding pressure difference prediction result obtained by this scheme, which can fully utilize the peak-shaving capacity of a single well while ensuring the safe production of the gas storage well.

[0005] According to one aspect of the present invention, a method for predicting a critical sand production pressure difference of a gas storage reservoir is provided, the method comprising:

[0006] Obtaining the injection and production type of each oil and gas well associated with the target gas storage reservoir; wherein the injection and production type includes reused injection and production wells, newly drilled wells, and single production wells;

[0007] Determine the reservoir parameters that match each oil and gas well based on the injection and production type of each oil and gas well;

[0008] The critical sand production pressure difference of each oil and gas well is determined based on the reservoir parameters matched to each oil and gas well.

[0009] According to another aspect of the present invention, a device for predicting a critical sand production pressure difference of a gas storage reservoir is provided, the device comprising:

[0010] An injection and production type acquisition module is used to obtain the injection and production type of each oil and gas well associated with the target gas storage reservoir; wherein the injection and production type includes reused injection and production wells, newly drilled wells, and single production wells;

[0011] The reservoir parameter determination module is used to determine the reservoir parameters matching each oil and gas well according to the injection and production type of each oil and gas well;

[0012] The sand production pressure difference determination module is used to determine the critical sand production pressure difference of each oil and gas well based on the reservoir parameters matched with each oil and gas well.

[0013] According to another aspect of the present invention, an electronic device is provided, comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for predicting the critical sand production pressure difference of a gas storage reservoir according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for predicting the critical sand production pressure difference of a gas storage reservoir according to any embodiment of the present invention when executed.

[0018] The technical solution of the embodiments of the present invention obtains the injection and production type of each oil and gas well associated with the target gas storage; determines the reservoir parameters matching each oil and gas well based on the injection and production type; and determines the critical sand production differential pressure of each oil and gas well based on the reservoir parameters matching each oil and gas well. This technical solution solves the problem of low prediction accuracy of the critical sand production differential pressure of gas storage. By managing the sand production operation of the gas storage based on the critical sand production differential pressure prediction results obtained by this solution, it can fully utilize the peak-shaving capacity of individual wells while ensuring safe production of gas storage wells.

[0019] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1This is a flow chart of a method for predicting a critical sand production pressure difference of a gas storage reservoir according to a first embodiment of the present invention;

[0022] Figure 2 This is a flow chart of a method for predicting critical sand production pressure difference of a gas storage reservoir provided in accordance with a second embodiment of the present invention;

[0023] Figure 3 2 is a schematic structural diagram of a device for predicting critical sand production pressure difference of a gas storage reservoir according to a third embodiment of the present invention;

[0024] Figure 4 It is a structural schematic diagram of an electronic device for implementing the method for predicting the critical sand production pressure difference of a gas storage reservoir according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The acquisition, storage, use, processing, etc. of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0027] Example 1

[0028] Figure 1 A flowchart of a method for predicting the critical sand-producing pressure difference of a gas storage reservoir is provided for the first embodiment of the present invention. This embodiment is applicable to the sand-producing operation and management scenario of a gas storage reservoir. The method can be executed by a prediction device for the critical sand-producing pressure difference of a gas storage reservoir. The device can be implemented in the form of hardware and / or software, and the device can be configured in an electronic device. Figure 1 As shown, the method includes:

[0029] S110: Obtain the injection and production type of each oil and gas well associated with the target gas storage.

[0030] This solution can be executed by the gas storage facility's sand production operation management platform. The platform can identify the oil and gas wells associated with the target gas storage facility and, based on their drilling time and production information, determine the injection and production type of each well. These injection and production types can include reused injection and production wells, newly drilled wells, and single-production wells. Reuseable injection and production wells can be older wells that have reached the end of their production life and can now function as injection and production wells, while single-production wells can be older wells that have reached the end of their production life and can now function as gas production wells.

[0031] S120. Determine reservoir parameters matching each oil and gas well based on the injection and production type of each oil and gas well.

[0032] The sand production operation management platform can obtain the reservoir cores of each oil and gas well, conduct experiments on matching the injection and production types of the oil and gas wells based on the reservoir cores, and then determine the matching reservoir parameters of each oil and gas well based on the experimental results.

[0033] Specifically, if the injection and production type of the oil and gas well is a reuse injection and production well, the sand production operation management platform can obtain the reservoir core of the oil and gas well, conduct a long-cycle displacement experiment and a multi-cycle reservoir sand production experiment based on the reservoir core, and determine the reservoir parameters of the oil and gas well based on the experimental results of the long-cycle displacement experiment and the experimental results of the multi-cycle reservoir sand production experiment.

[0034] If the injection and production type of the oil and gas well is a new well, the sand production operation management platform can obtain the reservoir core of the oil and gas well, conduct a multi-cycle reservoir sand production experiment based on the reservoir core, and determine the reservoir parameters of the oil and gas well based on the experimental results of the multi-cycle reservoir sand production experiment.

[0035] If the injection and production type of the oil and gas well is a single-production well, the sand production operation management platform can obtain the reservoir core of the oil and gas well, conduct a long-term displacement experiment and a flow sand production experiment based on the reservoir core, and determine the reservoir parameters of the oil and gas well based on the experimental results of the long-term displacement experiment and the flow sand production experiment.

[0036] It should be noted that the reservoir parameters may include thick-walled tube constant, thick-walled tube failure strength, effective principal stress combination, core damage amount, plasticity constant, and correction coefficient. The sand production operation management platform can correct the critical sand production pressure difference calculated by the critical sand production pressure difference calculation formula based on the critical sand production value in the experimental results of the mobile sand production experiment to obtain the correction coefficient.

[0037] S130 . Determine the critical sand production pressure difference of each oil and gas well based on the reservoir parameters matched with each oil and gas well.

[0038] After obtaining the reservoir parameters of each oil and gas well, the sand production operation management platform can calculate the critical sand production pressure difference of each oil and gas well based on the sand production prediction model.

[0039] The technical solution of the embodiments of the present invention obtains the injection and production type of each oil and gas well associated with the target gas storage; determines the reservoir parameters matching each oil and gas well based on the injection and production type; and determines the critical sand production differential pressure of each oil and gas well based on the reservoir parameters matching each oil and gas well. This technical solution solves the problem of low prediction accuracy of the critical sand production differential pressure of gas storage. By managing the sand production operation of the gas storage based on the critical sand production differential pressure prediction results obtained by this solution, it can fully utilize the peak-shaving capacity of individual wells while ensuring safe production of gas storage wells.

[0040] Example 2

[0041] Figure 2 This is a flow chart of a method for predicting the critical sand pressure difference of a gas storage provided by the second embodiment of the present invention. This embodiment is based on the above embodiment and is refined. Figure 2 As shown, the method includes:

[0042] S210: Obtain the injection and production type of each oil and gas well associated with the target gas storage.

[0043] S220. Determine reservoir parameters matching each oil and gas well based on the injection and production type of each oil and gas well.

[0044] In this solution, optionally, determining the reservoir parameters matching each oil and gas well according to the injection and production type of each oil and gas well includes:

[0045] If the injection-production type of the oil and gas well is a reuse injection-production well, obtaining a reservoir core of the oil and gas well, and conducting a long-cycle displacement experiment and a multi-cycle reservoir sand production experiment based on the reservoir core;

[0046] The reservoir parameters of the oil and gas well are determined according to the experimental results of the long-period displacement experiment and the experimental results of the multi-period reservoir sand production experiment.

[0047] Understandably, since reused injection and production wells are old wells, the sand production operation management platform may need to simulate information such as permeability, porosity, water saturation, and core damage of the old well reservoir at the end of production. Therefore, after obtaining reservoir cores from the reused injection and production wells, the sand production operation management platform can conduct long-term displacement experiments. Based on the experimental results of the long-term displacement experiments, the sand production operation management platform can use the reservoir cores after the long-term displacement to conduct multi-cycle reservoir sand production experiments to obtain the reservoir parameters of the reused injection and production wells.

[0048] On the basis of the above solution, optionally, determining the reservoir parameters matching each oil and gas well according to the injection and production type of each oil and gas well includes:

[0049] If the injection and production type of the oil and gas well is a newly drilled well, a reservoir core of the oil and gas well is obtained, and a multi-cycle reservoir sand production experiment is performed based on the reservoir core;

[0050] The reservoir parameters of the oil and gas well are determined according to the experimental results of the multi-cycle reservoir sand production experiment.

[0051] As is easy to understand, newly drilled wells do not have long-term production operations, so there is no need to conduct long-term displacement experiments. Instead, a multi-cycle reservoir sand production experiment can be conducted using reservoir cores from newly drilled wells. The sand production operation management platform can determine the reservoir parameters of the oil and gas well based on the experimental results of the multi-cycle reservoir sand production experiment.

[0052] In a feasible solution, determining the reservoir parameters matching each oil and gas well according to the injection and production type of each oil and gas well includes:

[0053] If the injection and production type of the oil and gas well is a single production well, a reservoir core of the oil and gas well is obtained, and a long-term displacement experiment and a flow sand production experiment are performed based on the reservoir core;

[0054] The reservoir parameters of the oil and gas well are determined according to the experimental results of the long-term displacement experiment and the experimental results of the flow sand production experiment.

[0055] Similar to reused injection and production wells, single-production wells are also repurposed from old wells. Therefore, long-term displacement experiments based on reservoir cores are necessary to simulate information such as permeability, porosity, water saturation, and core damage in the old wells at the end of production. Since single-production wells do not involve gas injection, the sand production operation management platform can perform flow sand production experiments on reservoir cores after long-term displacement experiments. Based on the results of these flow sand production experiments, the reservoir parameters for single-production wells can be determined.

[0056] S230: Determine the critical sand production pressure difference of each oil and gas well based on the reservoir parameters matched with each oil and gas well.

[0057] In a preferred solution, determining the critical sand production pressure difference of each oil and gas well based on the reservoir parameters matched to each oil and gas well includes:

[0058] Based on the sand production prediction model and the reservoir parameters matched to each oil and gas well, the critical sand production pressure difference of each oil and gas well in each zone is determined;

[0059] The zones include a pure gas phase zone, a gas-liquid transition zone and a pure liquid zone.

[0060] Specifically, the sand production prediction model can be expressed as:

[0061] p=nA1(s(1-D)C0-2σ i ′s );

[0062] Where p represents the critical sand production pressure difference, n represents the correction coefficient, A1 represents the plastic constant, s represents the thick-walled tube constant, D represents the core damage amount, C0 represents the thick-walled tube failure strength, σ i ′ s represents the effective principal stress combination.

[0063] By substituting the reservoir parameters matched to each oil and gas well into the above-mentioned sand production prediction model, the sand production operation management platform can obtain the critical sand production pressure difference of each oil and gas well in each zone.

[0064] S240: Determine a sand production control strategy for each oil well based on the critical sand production pressure difference of each oil and gas well and the production pressure difference of each oil and gas well.

[0065] After obtaining the critical sand production pressure difference of each oil and gas well, the sand production operation management platform can obtain the production pressure difference of each oil and gas well and compare the production pressure difference of each oil and gas well with the critical sand production pressure difference. Based on the comparison results, it is determined whether each oil and gas well has the risk of sand production, and then the sand production control strategy of each oil and gas well is determined.

[0066] In this embodiment, the sand production control strategy of each oil well is determined based on the critical sand production pressure difference of each oil and gas well and the production pressure difference of each oil and gas well, including:

[0067] If the production differential pressure of the oil and gas well is greater than the critical sand production differential pressure of the oil and gas well, the production differential pressure is reduced to control sand production.

[0068] As you can understand, if the production differential pressure of an oil or gas well exceeds the critical sand production differential pressure, the sand production operation management platform can reduce the production differential pressure to control sand production. If the reduced production differential pressure falls below the preset injection and production capacity of the oil or gas well, the sand production operation management platform can perform sand control operations. For open-hole wells with expanded diameters, if surface monitoring detects a small amount of sand production over a long period of time, confirming that sand is being produced by the formation under the current operating conditions, expandable screens can be lowered to mitigate sand production to a certain extent.

[0069] In a specific example, sand production testing was conducted on a newly drilled reservoir core from Gas Storage A. A 38 mm outer diameter rock sample was used, and a 12.6 mm concentric hole was drilled in the center of the sample cross-section to simulate a perforation. Sand production simulations were conducted on three samples from the same zone (pure gas phase zone). The critical sand production values ​​for the three samples (T1, T2, and T3) were 6.54 MPa, 6.50 MPa, and 6.74 MPa, respectively, with an average of 6.59 MPa.

[0070] Based on experimentally derived reservoir parameters and the sand production prediction model, the critical sand production differential pressure was calculated. Under the corresponding operating conditions for this new well, the critical sand production differential pressure was 7.2 MPa, with a correction factor of 0.92. Once the correction factor was determined, the sand production operation management platform, using the sand production prediction model, could calculate the critical sand production differential pressure for the pure gas zones of each newly drilled well within the block.

[0071] The technical solution of the embodiments of the present invention obtains the injection and production type of each oil and gas well associated with the target gas storage; determines the reservoir parameters matching each oil and gas well based on the injection and production type; and determines the critical sand production differential pressure of each oil and gas well based on the reservoir parameters matching each oil and gas well. This technical solution solves the problem of low prediction accuracy of the critical sand production differential pressure of gas storage. By managing the sand production operation of the gas storage based on the critical sand production differential pressure prediction results obtained by this solution, it can fully utilize the peak-shaving capacity of individual wells while ensuring safe production of gas storage wells.

[0072] Example 3

[0073] Figure 3 This is a schematic diagram of the structure of a prediction device for critical sand pressure difference of a gas storage provided by the third embodiment of the present invention. Figure 3 As shown, the device includes:

[0074] The injection and production type acquisition module 310 is used to obtain the injection and production type of each oil and gas well associated with the target gas storage reservoir; wherein the injection and production type includes reused injection and production wells, newly drilled wells, and single production wells;

[0075] The reservoir parameter determination module 320 is used to determine the reservoir parameters matching each oil and gas well according to the injection and production type of each oil and gas well;

[0076] The sand production pressure difference determination module 330 is used to determine the critical sand production pressure difference of each oil and gas well according to the reservoir parameters matched with each oil and gas well.

[0077] In this solution, optionally, the reservoir parameter determination module 320 includes a first parameter determination unit, and the first parameter determination unit is configured to:

[0078] If the injection-production type of the oil and gas well is a reuse injection-production well, obtaining a reservoir core of the oil and gas well, and conducting a long-cycle displacement experiment and a multi-cycle reservoir sand production experiment based on the reservoir core;

[0079] The reservoir parameters of the oil and gas well are determined according to the experimental results of the long-period displacement experiment and the experimental results of the multi-period reservoir sand production experiment.

[0080] In a feasible solution, the reservoir parameter determination module 320 includes a second parameter determination unit, and the second parameter determination unit is configured to:

[0081] If the injection and production type of the oil and gas well is a newly drilled well, a reservoir core of the oil and gas well is obtained, and a multi-cycle reservoir sand production experiment is performed based on the reservoir core;

[0082] The reservoir parameters of the oil and gas well are determined according to the experimental results of the multi-cycle reservoir sand production experiment.

[0083] In another feasible solution, the reservoir parameter determination module 320 includes a third parameter determination unit, and the third parameter determination unit is configured to:

[0084] If the injection and production type of the oil and gas well is a single production well, a reservoir core of the oil and gas well is obtained, and a long-term displacement experiment and a flow sand production experiment are performed based on the reservoir core;

[0085] The reservoir parameters of the oil and gas well are determined according to the experimental results of the long-term displacement experiment and the experimental results of the flow sand production experiment.

[0086] Based on the above solution, optionally, the sand pressure difference determination module 330 is specifically configured to:

[0087] Based on the sand production prediction model and the reservoir parameters matched to each oil and gas well, the critical sand production pressure difference of each oil and gas well in each zone is determined;

[0088] The zones include a pure gas phase zone, a gas-liquid transition zone and a pure liquid zone.

[0089] In this embodiment, optionally, the device further includes a control strategy determination module, configured to:

[0090] After determining the critical sand production pressure difference of each oil and gas well, a sand production control strategy for each oil well is determined based on the critical sand production pressure difference of each oil and gas well and the production pressure difference of each oil and gas well.

[0091] Based on the above solution, optionally, the control strategy determination module is specifically used to:

[0092] If the production differential pressure of the oil and gas well is greater than the critical sand production differential pressure of the oil and gas well, the production differential pressure is reduced to control sand production.

[0093] The device for predicting the critical sand production pressure difference of a gas storage reservoir provided by an embodiment of the present invention can execute the method for predicting the critical sand production pressure difference of a gas storage reservoir provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0094] Example 4

[0095] Figure 4A schematic diagram of the structure of an electronic device 410 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0096] like Figure 4 As shown, the electronic device 410 includes at least one processor 411, and a memory connected to the at least one processor 411, such as a read-only memory (ROM) 412, a random access memory (RAM) 413, etc., wherein the memory stores a computer program that can be executed by the at least one processor, and the processor 411 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 412 or the computer program loaded from the storage unit 418 to the random access memory (RAM) 413. Various programs and data required for the operation of the electronic device 410 can also be stored in the RAM 413. The processor 411, ROM 412 and RAM 413 are connected to each other via a bus 414. An input / output (I / O) interface 415 is also connected to the bus 414.

[0097] Multiple components in electronic device 410 are connected to I / O interface 415, including an input unit 416, such as a keyboard, mouse, etc.; an output unit 417, such as various types of displays, speakers, etc.; a storage unit 418, such as a magnetic disk, optical disk, etc.; and a communication unit 419, such as a network card, modem, wireless communication transceiver, etc. The communication unit 419 allows electronic device 410 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0098] Processor 411 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of processor 411 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any other suitable processors, controllers, microcontrollers, etc. Processor 411 executes the various methods and processes described above, such as the method for predicting the critical sand production pressure difference of a gas storage reservoir.

[0099] In some embodiments, the method for predicting the critical sanding pressure difference of a gas storage reservoir can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as storage unit 418. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 410 via ROM 412 and / or communication unit 419. When the computer program is loaded into RAM 413 and executed by processor 411, one or more steps of the method for predicting the critical sanding pressure difference of a gas storage reservoir described above can be performed. Alternatively, in other embodiments, processor 411 can be configured to execute the method for predicting the critical sanding pressure difference of a gas storage reservoir in any other appropriate manner (e.g., via firmware).

[0100] Various embodiments of the systems and techniques described above can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0101] Computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable gas storage reservoir critical sand pressure differential prediction device, so that when executed by the processor, the computer programs implement the functions / operations specified in the flowcharts and / or block diagrams. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0102] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0103] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0104] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0105] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0106] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0107] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for predicting the critical sand production pressure difference of a gas storage reservoir, characterized in that: The method comprises: Obtaining the injection and production type of each oil and gas well associated with the target gas storage reservoir; wherein the injection and production type includes reused injection and production wells, newly drilled wells, and single production wells; Determine the reservoir parameters that match each oil and gas well based on the injection and production type of each oil and gas well; The critical sand production pressure difference of each oil and gas well is determined based on the reservoir parameters matched to each oil and gas well.

2. The method according to claim 1, characterized in that Determining the reservoir parameters matching each oil and gas well according to the injection and production type of each oil and gas well includes: If the injection-production type of the oil and gas well is a reuse injection-production well, obtaining a reservoir core of the oil and gas well, and conducting a long-cycle displacement experiment and a multi-cycle reservoir sand production experiment based on the reservoir core; The reservoir parameters of the oil and gas well are determined according to the experimental results of the long-period displacement experiment and the experimental results of the multi-period reservoir sand production experiment.

3. The method according to claim 2, characterized in that Determining the reservoir parameters matching each oil and gas well according to the injection and production type of each oil and gas well includes: If the injection and production type of the oil and gas well is a newly drilled well, a reservoir core of the oil and gas well is obtained, and a multi-cycle reservoir sand production experiment is performed based on the reservoir core; The reservoir parameters of the oil and gas well are determined according to the experimental results of the multi-cycle reservoir sand production experiment.

4. The method according to claim 3, characterized in that Determining the reservoir parameters matching each oil and gas well according to the injection and production type of each oil and gas well includes: If the injection and production type of the oil and gas well is a single production well, a reservoir core of the oil and gas well is obtained, and a long-term displacement experiment and a flow sand production experiment are performed based on the reservoir core; The reservoir parameters of the oil and gas well are determined according to the experimental results of the long-term displacement experiment and the experimental results of the flow sand production experiment.

5. The method according to claim 4, characterized in that Determining the critical sand production pressure difference of each oil and gas well based on the reservoir parameters matched to each oil and gas well includes: Based on the sand production prediction model and the reservoir parameters matched to each oil and gas well, the critical sand production pressure difference of each oil and gas well in each zone is determined; The zones include a pure gas phase zone, a gas-liquid transition zone and a pure liquid zone.

6. The method according to claim 1, characterized in that After determining the critical sand production pressure difference of each oil and gas well, the method further includes: The sand production control strategy of each oil well is determined based on the critical sand production pressure difference and the production pressure difference of each oil and gas well.

7. The method according to claim 6, characterized in that The sand production control strategy of each oil well is determined based on the critical sand production pressure difference of each oil and gas well and the production pressure difference of each oil and gas well, including: If the production differential pressure of the oil and gas well is greater than the critical sand production differential pressure of the oil and gas well, the production differential pressure is reduced to control sand production.

8. A prediction device for critical sand production pressure difference of a gas storage reservoir, characterized in that: include: An injection and production type acquisition module is used to obtain the injection and production type of each oil and gas well associated with the target gas storage reservoir; wherein the injection and production type includes reused injection and production wells, newly drilled wells, and single production wells; The reservoir parameter determination module is used to determine the reservoir parameters matching each oil and gas well according to the injection and production type of each oil and gas well; The sand production pressure difference determination module is used to determine the critical sand production pressure difference of each oil and gas well based on the reservoir parameters matched with each oil and gas well.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for predicting the critical sand production pressure difference of a gas storage reservoir according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for predicting the critical sand production pressure difference of a gas storage reservoir according to any one of claims 1 to 7 when executed.

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