A method, apparatus, equipment, and storage medium for determining the bottom limit of strike-slip fracture-controlled reservoirs.

Abstract

This invention discloses a method, apparatus, equipment, and storage medium for determining the reservoir control limit of strike-slip faults. The method includes: determining oil and gas reservoir evaluation indicators for each well within a target area based on single-well test data; determining matching oil and gas reservoir evaluation indicators for each depth interval based on the oil and gas reservoir evaluation indicators for each well within the target area; wherein the depth intervals are determined based on statistical results of the drilling depths of each well within the target area; determining the correlation between the matching oil and gas reservoir evaluation indicators for each depth interval and the pre-obtained oil and gas supply depths of each well; and determining the reservoir control limit of strike-slip faults within the target area based on the correlation. This technical solution solves the problem of low reliability in determining the reservoir control limit of strike-slip faults, and can improve the accuracy of predicting the reservoir control limit of strike-slip faults while providing corresponding technical support for the selection of potential zones.

Description

Technical Field

[0001] This invention relates to the field of reservoir development technology, and in particular to a method, apparatus, electronic device and storage medium for determining the reservoir control limit of strike-slip fractures. Background Technology

[0002] Strike-slip faults are important pathways for hydrocarbon migration, and determining their reservoir-controlling limits has always been a key research focus in the oil and gas field. Identifying the controlling role of strike-slip faults in hydrocarbon migration and accumulation across different blocks is of great guiding significance for future exploration and the selection of potential zones in developed areas.

[0003] Currently, research on the lower limit of hydrocarbon generation mainly focuses on the geochemical index analysis of source rocks. At the same time, a relatively systematic study has also been carried out on the activity period, segmentation, and fault penetration of strike-slip faults.

[0004] Therefore, for carbonate rocks, especially carbonate oil and gas reservoirs in areas dominated by strike-slip faults, determining the lower limit of strike-slip fault-controlled reservoirs has become a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0005] This invention provides a method, apparatus, equipment, and storage medium for determining the lower limit of strike-slip fault-controlled reservoirs, thereby solving the problem of low reliability in determining the lower limit of strike-slip fault-controlled reservoirs. It can improve the accuracy of predicting the lower limit of strike-slip fault-controlled reservoirs and provide corresponding technical support for the selection of potential zones.

[0006] According to one aspect of the present invention, a method for determining the bottom limit of strike-slip fracture control is provided, the method comprising:

[0007] Based on single-well test data, determine the oil and gas reservoir evaluation indicators for each single well in the target area;

[0008] Based on the oil and gas reservoir assessment indicators of each single well in the target area, oil and gas reservoir assessment indicators matching each depth range are determined; wherein, each depth range is determined based on the statistical results of the drilling depth of each single well in the target area.

[0009] Determine the correlation between the matching oil and gas reservoir evaluation indicators for each depth range and the pre-obtained oil and gas supply depth of each single well;

[0010] Based on the aforementioned correlation, the control limit for strike-slip faults within the target area is determined.

[0011] According to another aspect of the present invention, a device for determining the bottom limit of strike-slip fracture storage is provided, the device comprising:

[0012] The single-well index determination module is used to determine the oil and gas reservoir evaluation indexes of each single well in the target area based on the single-well test data.

[0013] The interval index determination module is used to determine the oil and gas reservoir evaluation index matching each depth interval based on the oil and gas reservoir evaluation index of each single well in the target area; wherein, the depth interval is determined based on the statistical results of the drilling depth of each single well in the target area.

[0014] The correlation determination module is used to determine the correlation between the matching oil and gas reservoir evaluation indicators in each depth range and the pre-acquired oil and gas supply depth of each single well.

[0015] The control limit determination module is used to determine the control limit of strike-slip fractures in the target area based on the aforementioned correlation.

[0016] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0017] At least one processor; and

[0018] A memory communicatively connected to the at least one processor; wherein,

[0019] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the strike-slip fracture control limit determination method according to any embodiment of the present invention.

[0020] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions, the computer instructions being configured to cause a processor to execute and implement the strike-slip fracture control limit determination method according to any embodiment of the present invention.

[0021] The technical solution of this invention determines the oil and gas reservoir evaluation indicators for each well within a target area based on single-well test data; then, based on these indicators, it determines matching oil and gas reservoir evaluation indicators for each depth range; next, it determines the correlation between the matching indicators and the pre-obtained oil and gas supply depths of each well; finally, based on this correlation, it determines the reservoir control limit of strike-slip faults within the target area. This technical solution solves the problem of low reliability in determining the reservoir control limit of strike-slip faults, and can improve the accuracy of predicting the reservoir control limit of strike-slip faults while providing corresponding technical support for the selection of potential zones.

[0022] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart of a method for determining the bottom limit of strike-slip fractures for reservoir control according to Embodiment 1 of the present invention;

[0025] Figure 2A This is a flowchart of a method for determining the bottom limit of strike-slip fractures for controlling reservoirs according to Embodiment 2 of the present invention;

[0026] Figure 2B This is a schematic diagram of the intersection analysis of total hydrocarbon content and oil and gas supply depth in each single well within depth range X according to Embodiment 2 of the present invention;

[0027] Figure 2C This is a schematic diagram of the intersection analysis of total hydrocarbon content and oil and gas supply depth in depth range X, provided in Embodiment 2 of the present invention.

[0028] Figure 3 This is a schematic diagram of a device for determining the bottom limit of strike-slip fracture storage according to Embodiment 3 of the present invention;

[0029] Figure 4 This is a schematic diagram of the structure of an electronic device that implements the method for determining the bottom limit of strike-slip fracture control according to an embodiment of the present invention. Detailed Implementation

[0030] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0031] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be used interchangeably where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices. The acquisition, storage, use, and processing of data in the technical solutions of this application all comply with the relevant provisions of national laws and regulations.

[0032] Example 1

[0033] Figure 1 This document provides a flowchart of a method for determining the bottom limit of strike-slip fracture-controlled reservoirs, as described in Embodiment 1 of the present invention. This embodiment is applicable to scenarios involving the prediction of the bottom limit of strike-slip fracture-controlled reservoirs. This method can be executed by a strike-slip fracture-controlled reservoir bottom limit determination device, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0034] S110. Based on the single-well test data, determine the oil and gas reservoir evaluation indicators for each single well in the target area.

[0035] In this scheme, single-well test data may include oil testing data, production testing data, fluid property testing data, and testing while drilling data. The reservoir evaluation indicators may include single-well daily oil production, single-well daily gas production, single-well cumulative oil production over a preset time, single-well cumulative gas production over a preset time, single-well daily oil production capacity, single-well crude oil density, and single-well gas logging anomalies. Based on the single-well test data, the reservoir evaluation indicators for each well within the target area can be obtained.

[0036] S120. Based on the oil and gas reservoir assessment indicators of each single well in the target area, determine the matching oil and gas reservoir assessment indicators for each depth range.

[0037] By statistically analyzing the drilling depths of each well within the target area, at least two depth intervals can be obtained. Based on the reservoir assessment indicators of the individual wells in each depth interval, the appropriate reservoir assessment indicators for each depth interval can be determined.

[0038] S130. Determine the correlation between the matching oil and gas reservoir evaluation indicators for each depth range and the pre-obtained oil and gas supply depth of each single well.

[0039] In this embodiment, before determining the correlation between the matching oil and gas reservoir evaluation indicators for each depth range and the pre-obtained oil and gas supply depth of each single well, the method further includes:

[0040] Based on the well completion data of the target area, determine the oil and gas supply depth of each individual well within the target area; wherein, the well completion data includes single well drilling and completion data and oil well completion data.

[0041] Based on well completion data, the oil and gas supply depth of each well within the target area can be calculated. Specifically, based on the drilling and completion data of each well, the lateral and vertical depths of the target formation encountered by each well can be determined. Based on the completion data of the oil wells, the lateral and vertical depths of the testing sections of each well can be determined. Based on the vertical depth of the target formation encountered by each well and the vertical depth of the testing sections, the oil and gas supply depth of each well can be calculated.

[0042] After obtaining the oil and gas supply depth of each individual well, the oil and gas reservoir evaluation index matched for each depth range can be intersected with the oil and gas supply depth of each individual well to obtain the correlation between the oil and gas reservoir evaluation index matched for each depth range and the oil and gas supply depth of each individual well.

[0043] S140. Based on the aforementioned correlation, determine the control limit of strike-slip faults within the target area.

[0044] Based on the drilling depth of a single well in the target area where the oil and gas supply depth is to be determined, and at least one oil and gas reservoir assessment index, the oil and gas supply depth of the single well can be determined according to the correlation between the matching oil and gas reservoir assessment index in each depth range and the oil and gas supply depth of each single well, thereby obtaining the reservoir control limit of strike-slip faults in the target area.

[0045] The technical solution of this invention determines the oil and gas reservoir evaluation indicators for each well within a target area based on single-well test data; then, based on these indicators, it determines matching oil and gas reservoir evaluation indicators for each depth range; next, it determines the correlation between the matching indicators and the pre-obtained oil and gas supply depths of each well; finally, based on this correlation, it determines the reservoir control limit of strike-slip faults within the target area. This technical solution solves the problem of low reliability in determining the reservoir control limit of strike-slip faults, and can improve the accuracy of predicting the reservoir control limit of strike-slip faults while providing corresponding technical support for the selection of potential zones.

[0046] Example 2

[0047] Figure 2A This is a flowchart of a method for determining the bottom limit of strike-slip fault-controlled reservoirs according to Embodiment 2 of the present invention. This embodiment is a refinement based on the above embodiment. Figure 2A As shown, the method includes:

[0048] S210. Based on the single-well test data, determine the oil and gas reservoir evaluation indicators for each single well in the target area.

[0049] This plan takes region A as the target region and explains the process of determining the lower limit of strike-slip fault-controlled reservoir.

[0050] Optionally, the single-well test data includes oil testing data; the oil and gas reservoir evaluation indicators include daily oil production and daily gas production per well.

[0051] The process of determining oil and gas reservoir evaluation indicators for each well within the target area based on single-well test data includes:

[0052] Based on the oil test data, the daily oil production and daily gas production of a single well are determined.

[0053] Based on the above scheme, optionally, the single-well test data also includes trial production data; the oil and gas reservoir evaluation indicators also include the cumulative oil production of a single well over a preset time, the cumulative gas production of a single well over a preset time, and the daily oil production capacity of a single well.

[0054] The process of determining oil and gas reservoir evaluation indicators for each well within the target area based on single-well test data includes:

[0055] Based on the trial production data, the cumulative oil production, cumulative gas production, and daily oil production capacity of a single well over a preset time period were determined.

[0056] The oil testing data and production test data of a single well in Area A are shown in Table 1 below.

[0057] Table 1:

[0058]

[0059] Based on the single-well test data shown in Table 1, the daily oil production and daily gas production of a single well can be determined. For example, the daily oil production and daily gas production of a single well can be obtained from the converted daily oil production. Based on the test production data shown in Table 1, the cumulative oil production and cumulative gas production of a single well over a preset time period can be obtained. The daily oil production capacity of a single well can be calculated based on the cumulative oil production over the preset time period.

[0060] Specifically, the formula for calculating the daily oil production capacity of a single well can be expressed as: Where q0 represents the daily oil production capacity of a single well, N p This indicates the cumulative oil production of a single well over a preset time period, where t represents the preset time period, such as the number of production days for a single well.

[0061] In one feasible approach, the single-well test data also includes drilling test data; the oil and gas reservoir evaluation indicators also include single-well gas logging anomalies.

[0062] The process of determining oil and gas reservoir evaluation indicators for each well within the target area based on single-well test data includes:

[0063] Based on the drilling test data, the abnormal gas logging quantities in a single well were determined.

[0064] As is readily understood, the test-while-drilling data may include gas logging anomaly data of the target formation encountered by the oil well, such as the content of total hydrocarbons, C1, C2, C3, iC4, nC4, iC5, nC5, CO2, and H2S in each test section. Based on the test-while-drilling data, the amount of gas logging anomalies in a single well can be obtained.

[0065] The drilling test data for region A are shown in Table 2. The CO2 and H2S contents in each test section of each single well are 0. Understandably, by comparing the gas content of each test section shown in Table 2 with the preset gas content threshold, the gas anomaly in a single well can be determined.

[0066] Table 2:

[0067]

[0068] In another feasible approach, the single-well test data also includes fluid property detection data; the oil and gas reservoir evaluation index also includes single-well crude oil density;

[0069] The process of determining oil and gas reservoir evaluation indicators for each well within the target area based on single-well test data includes:

[0070] The crude oil density of a single well is determined based on fluid property detection data.

[0071] Understandably, the crude oil density of a single well can be the average crude oil density of the well during the initial stage of production. Based on fluid property testing data, the surface crude oil density at each production stage can be obtained, and based on the surface crude oil density at each production stage, the average crude oil density during the initial stage of well production can be calculated.

[0072] S220. Based on the drilling depth of each individual well, determine the matching individual wells for each depth range.

[0073] By statistically analyzing the drilling depth of each individual well, we can obtain the individual wells corresponding to each depth range.

[0074] S230. Sequentially take each depth interval as the target depth interval, and calculate the oil and gas reservoir evaluation index matched with the target depth interval based on the oil and gas reservoir evaluation index of the single well matched with the target depth interval and the drilling depth of the single well.

[0075] After determining the individual wells for each depth range, the reservoir evaluation indicators for each well within each depth range can be weighted according to the drilling depth of the individual well. The specific calculation method for the reservoir evaluation indicators matched to the target depth range can be as follows:

[0076] Where A represents the hydrocarbon reservoir evaluation index for matching the target depth range, A1, A2…A n The indexes representing the oil and gas reservoir assessment parameters for each single well within the target depth range, D1, D2…D n This indicates the drilling depth of each individual well.

[0077] Figure 2B This is a schematic diagram illustrating the intersection analysis of total hydrocarbon content in each single well within depth range X and oil and gas supply depth according to Embodiment 2 of the present invention. Figure 2C This is a schematic diagram of the cross-analysis of total hydrocarbon content and oil and gas supply depth in depth interval X according to Embodiment 2 of the present invention. Taking the correlation between oil and gas supply depth and total hydrocarbon content in depth interval X as an example, the total hydrocarbon content of each single well in depth interval X is directly subjected to cross-analysis with oil and gas supply depth to obtain the following results: Figure 2B The scatter plot shown is based on Figure 2B The scatter distribution shown is insufficient to fit the correlation between total hydrocarbon content and oil and gas supply depth. By performing a depth-weighted average of the total hydrocarbon content of individual wells within depth range X, and then conducting a cross-analysis of the total hydrocarbon content matched within depth range X with the oil and gas supply depth, the following can be obtained: Figure 2C The diagram illustrates the relationship between these factors. Therefore, this approach facilitates the accurate and reliable identification of the correlation between reservoir assessment indicators and oil and gas supply depth, thereby ensuring the feasibility of predicting the lower limit of reservoir control via strike-slip faults.

[0078] S240. Determine the correlation between the matching oil and gas reservoir evaluation indicators for each depth range and the pre-obtained oil and gas supply depth of each single well.

[0079] In this scheme, optionally, the determination of the correlation between the matching oil and gas reservoir evaluation indicators for each depth range and the pre-obtained oil and gas supply depth of each single well includes:

[0080] If the number of oil and gas reservoir evaluation indicators matching the target depth range is greater than 1, then the oil and gas supply depth and each oil and gas reservoir evaluation indicator matching the target depth range will be analyzed sequentially to obtain the correlation between the oil and gas supply depth and each oil and gas reservoir evaluation indicator matching the target depth range.

[0081] The number of oil and gas reservoir assessment indicators matched with the target depth range can be one or more. If there are multiple oil and gas reservoir assessment indicators matched with the target depth range, then the oil and gas supply depth is sequentially subjected to an interpolation analysis with each oil and gas reservoir assessment indicator matched with the target depth range, and a correlation chart between the oil and gas supply depth and each oil and gas reservoir assessment indicator is drawn to obtain the correlation between the oil and gas supply depth and the oil and gas reservoir assessment indicators matched with the target depth range.

[0082] S250. Based on the aforementioned correlation, determine the control limit of strike-slip faults within the target area.

[0083] The technical solution of this invention determines the oil and gas reservoir evaluation indicators for each well within a target area based on single-well test data; then, based on these indicators, it determines matching oil and gas reservoir evaluation indicators for each depth range; next, it determines the correlation between the matching indicators and the pre-obtained oil and gas supply depths of each well; finally, based on this correlation, it determines the reservoir control limit of strike-slip faults within the target area. This technical solution solves the problem of low reliability in determining the reservoir control limit of strike-slip faults, and can improve the accuracy of predicting the reservoir control limit of strike-slip faults while providing corresponding technical support for the selection of potential zones.

[0084] Example 3

[0085] Figure 3 This is a schematic diagram of a strike-slip fracture control limit determination device provided in Embodiment 3 of the present invention. Figure 3 As shown, the device includes:

[0086] The single-well index determination module 310 is used to determine the oil and gas reservoir evaluation index of each single well in the target area based on the single-well test data.

[0087] The interval index determination module 320 is used to determine the oil and gas reservoir evaluation index matching each depth interval based on the oil and gas reservoir evaluation index of each single well in the target area; wherein, the depth interval is determined based on the statistical results of the drilling depth of each single well in the target area.

[0088] The correlation determination module 330 is used to determine the correlation between the oil and gas reservoir evaluation indicators matched in each depth range and the oil and gas supply depth of each pre-acquired single well.

[0089] The control limit determination module 340 is used to determine the control limit of strike-slip fractures in the target area based on the correlation relationship.

[0090] In this solution, optionally, the interval index determination module 320 is specifically used for:

[0091] Based on the drilling depth of each individual well, determine the matching individual wells for each depth range;

[0092] Each depth interval is taken as the target depth interval in turn. Based on the oil and gas reservoir evaluation index of the single well matched with the target depth interval and the drilling depth of the single well, the oil and gas reservoir evaluation index matched with the target depth interval is calculated.

[0093] The association determination module 330 is specifically used for:

[0094] If the number of oil and gas reservoir evaluation indicators matching the target depth range is greater than 1, then the oil and gas supply depth and each oil and gas reservoir evaluation indicator matching the target depth range will be analyzed sequentially to obtain the correlation between the oil and gas supply depth and each oil and gas reservoir evaluation indicator matching the target depth range.

[0095] In this scheme, optionally, the single-well test data includes oil testing data; the oil and gas reservoir evaluation indicators include single-well daily oil production and single-well daily gas production.

[0096] The single-well index determination module 310 includes:

[0097] The production determination unit is used to determine the daily oil production and daily gas production of a single well based on the oil test data.

[0098] Based on the above scheme, the single-well test data also includes trial production data; the oil and gas reservoir evaluation indicators also include the cumulative oil production of a single well over a preset time, the cumulative gas production of a single well over a preset time, and the daily oil production capacity of a single well.

[0099] The single-well index determination module 310 also includes:

[0100] The cumulative production determination unit is used to determine the cumulative oil production, cumulative gas production, and daily oil production capacity of a single well over a preset time period based on trial production data.

[0101] In one feasible approach, the single-well test data also includes fluid property detection data; the oil and gas reservoir evaluation index also includes single-well crude oil density.

[0102] The single-well index determination module 310 also includes:

[0103] The density determination unit is used to determine the density of crude oil in a single well based on fluid property detection data.

[0104] In another feasible approach, the single-well test data also includes drilling test data; the oil and gas reservoir evaluation indicators also include single-well gas logging anomalies.

[0105] The single-well index determination module 310 also includes:

[0106] The anomaly determination unit is used to determine the gas logging anomalies in a single well based on the drilling test data.

[0107] In this embodiment, optionally, the device further includes:

[0108] The supply depth determination module is used to determine the oil and gas supply depth of each single well in the target area based on the well completion data of the target area; wherein, the well completion data includes single well drilling and completion data and oil well completion data.

[0109] The strike-slip fracture control limit determination device provided in this embodiment of the invention can execute the strike-slip fracture control limit determination method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0110] Example 4

[0111] Figure 4 A schematic diagram of an electronic device 410 that can be used to implement embodiments 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 processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0112] like Figure 4 As shown, the electronic device 410 includes at least one processor 411 and a memory, such as a read-only memory (ROM) 412 or a random access memory (RAM) 413, communicatively connected to the at least one processor 411. The memory stores computer programs executable by the at least one processor. The processor 411 can perform various appropriate actions and processes based on the computer program stored in the ROM 412 or loaded from storage unit 418 into the RAM 413. The RAM 413 may also store various programs and data required for the operation of the electronic device 410. The processor 411, ROM 412, and RAM 413 are interconnected via a bus 414. An input / output (I / O) interface 415 is also connected to the bus 414.

[0113] Multiple components in electronic device 410 are connected to I / O interface 415, including: input unit 416, such as keyboard, mouse, etc.; output unit 417, such as various types of displays, speakers, etc.; storage unit 418, such as disk, optical disk, etc.; and communication unit 419, such as network card, modem, wireless transceiver, etc. Communication unit 419 allows electronic device 410 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0114] Processor 411 can be a variety of general-purpose and / or special-purpose processing components 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 special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 411 performs the various methods and processes described above, such as the strike-slip fracture controlled storage limit determination method.

[0115] In some embodiments, the strike-slip fracture control limit determination method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 418. In some embodiments, part or all of the computer program may be loaded and / or installed on 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 strike-slip fracture control limit determination method described above may be performed. Alternatively, in other embodiments, processor 411 may be configured to perform the strike-slip fracture control limit determination method by any other suitable means (e.g., by means of firmware).

[0116] Various embodiments of the systems and techniques described above herein 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), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0117] Computer programs used to implement 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 the processor of a general-purpose computer, a special-purpose computer, or other programmable strike-slip fracture control limit determination device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer programs can be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0118] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0119] 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 provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, 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 sound input, voice input, or tactile input).

[0120] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0121] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0122] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0123] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining the bottom limit of strike-slip fault-controlled reservoirs, characterized in that, The method includes: Based on single-well test data, determine the oil and gas reservoir evaluation indicators for each single well in the target area; Based on the oil and gas reservoir assessment indicators of each single well in the target area, oil and gas reservoir assessment indicators matching each depth range are determined; wherein, each depth range is determined based on the statistical results of the drilling depth of each single well in the target area. The vertical depth of the target layer encountered by each well is determined based on the drilling and completion data of each well. The vertical depth of the oil testing section of each well is determined based on the completion data of the oil well. Based on the vertical depth of the target layer encountered by each well and the vertical depth of the oil testing section of each well, the oil and gas supply depth of each well is calculated. Determine the correlation between the matching oil and gas reservoir evaluation indicators for each depth range and the oil and gas supply depth of each single well; Based on the aforementioned correlation, the control limit for strike-slip faults within the target area is determined.

2. The method according to claim 1, characterized in that, The process of determining matching oil and gas reservoir assessment indicators for each depth range based on the oil and gas reservoir assessment indicators of each single well within the target area includes: Based on the drilling depth of each individual well, determine the matching individual wells for each depth range; Each depth interval is taken as the target depth interval in turn. Based on the oil and gas reservoir evaluation index of the single well matched with the target depth interval and the drilling depth of the single well, the oil and gas reservoir evaluation index matched with the target depth interval is calculated. The determination of the correlation between the matching oil and gas reservoir evaluation indicators for each depth range and the pre-obtained oil and gas supply depth of each single well includes: If the number of oil and gas reservoir evaluation indicators matching the target depth range is greater than 1, then the oil and gas supply depth and each oil and gas reservoir evaluation indicator matching the target depth range will be analyzed sequentially to obtain the correlation between the oil and gas supply depth and each oil and gas reservoir evaluation indicator matching the target depth range.

3. The method according to claim 1, characterized in that, The single-well test data includes oil testing data; the oil and gas reservoir evaluation indicators include daily oil production and daily gas production per well. The process of determining oil and gas reservoir evaluation indicators for each well within the target area based on single-well test data includes: Based on the oil test data, the daily oil production and daily gas production of a single well are determined.

4. The method according to claim 3, characterized in that, The single-well test data also includes trial production data; the oil and gas reservoir evaluation indicators also include the cumulative oil production of a single well over a preset time, the cumulative gas production of a single well over a preset time, and the daily oil production capacity of a single well. The process of determining oil and gas reservoir evaluation indicators for each well within the target area based on single-well test data includes: Based on the trial production data, the cumulative oil production, cumulative gas production, and daily oil production capacity of a single well over a preset time period were determined.

5. The method according to claim 4, characterized in that, The single-well test data also includes fluid property detection data; the oil and gas reservoir evaluation indicators also include single-well crude oil density. The process of determining oil and gas reservoir evaluation indicators for each well within the target area based on single-well test data includes: The crude oil density of a single well is determined based on fluid property detection data.

6. The method according to claim 5, characterized in that, The single-well test data also includes drilling test data; the oil and gas reservoir evaluation indicators also include single-well gas measurement anomalies. The process of determining oil and gas reservoir evaluation indicators for each well within the target area based on single-well test data includes: Based on the drilling test data, the abnormal gas logging quantities in a single well were determined.

7. A device for determining the bottom limit of strike-slip fracture storage, characterized in that, include: The single-well index determination module is used to determine the oil and gas reservoir evaluation indexes of each single well in the target area based on the single-well test data. The interval index determination module is used to determine the oil and gas reservoir evaluation index matching each depth interval based on the oil and gas reservoir evaluation index of each single well in the target area; wherein, the depth interval is determined based on the statistical results of the drilling depth of each single well in the target area. The supply depth determination module is used to determine the vertical depth of the target layer encountered by each well based on the drilling and completion data of each well, to determine the vertical depth of the oil testing section of each well based on the completion data of the oil well, and to calculate the oil and gas supply depth of each well based on the vertical depth of the target layer encountered by each well and the vertical depth of the oil testing section of each well; the correlation determination module is used to determine the correlation between the matching oil and gas reservoir evaluation indicators for each depth range and the oil and gas supply depth of each well. The control limit determination module is used to determine the control limit of strike-slip fractures in the target area based on the aforementioned correlation.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the strike-slip fracture control limit determination method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the method for determining the strike-slip fracture control limit as described in any one of claims 1-6.

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