Low-permeability oil and gas reservoir identification method and device, medium and electronic equipment

Abstract

The invention discloses a low-permeability oil and gas reservoir identification method and device, a medium and electronic equipment. The method comprises the following steps: acquiring reservoir parameters, wherein the reservoir parameters comprise reservoir abundance, permeability, porosity, effective sand body thickness, oil saturation and starting pressure gradient; determining the comprehensive weight of the reservoir parameters according to the identification degree of the reservoir parameters on the low-permeability oil and gas reservoir; determining a reservoir level identification interval according to the reservoir parameter comprehensive weight; and based on the reservoir level identification interval, identifying the low-permeability oil and gas reservoir. The accuracy of identifying the type of the low-permeability oil and gas reservoir can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of low-permeability oil and gas reservoir identification, and in particular, to a low-permeability oil and gas reservoir identification method, device, medium and electronic equipment. Background Art

[0002] Currently, accurately selecting reservoir parameters to identify low-permeability reservoir types is crucial for well placement and development planning in low-permeability oil and gas reservoirs. Existing methods only reflect reserve size, seepage capacity, and production dynamics, but fail to comprehensively evaluate and identify low-permeability reservoir types. Improving the accuracy of identifying low-permeability reservoir types is a pressing technical challenge. Summary of the Invention

[0003] The purpose of this application is to provide a method, device, medium and electronic device for identifying low-permeability oil and gas reservoirs. This application can improve the accuracy of identifying the type of low-permeability oil and gas reservoirs.

[0004] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by practice of the present application.

[0005] According to one aspect of an embodiment of the present application, a method for identifying low-permeability oil and gas reservoirs is provided, characterized in that the method includes: obtaining reservoir parameters, the reservoir parameters including reservoir abundance, permeability, porosity, effective sand body thickness, oil saturation and starting pressure gradient; determining a comprehensive weight of the reservoir parameters based on the degree of identification of the low-permeability oil and gas reservoir by the reservoir parameters; determining a reservoir grade identification interval based on the comprehensive weight of the reservoir parameters; and identifying the low-permeability oil and gas reservoir based on the reservoir grade identification interval.

[0006] In one embodiment of the present application, based on the aforementioned scheme, the comprehensive weight of the reservoir parameters is determined according to the degree of recognition of the low permeability oil and gas reservoir by the reservoir parameters, including: calculating the subjective weight and objective weight corresponding to the reservoir parameters according to the degree of recognition of the low permeability oil and gas reservoir by the reservoir parameters; and determining the comprehensive weight of the reservoir parameters based on the subjective weight and the objective weight.

[0007] In one embodiment of the present application, based on the aforementioned scheme, the comprehensive weight of the reservoir parameters is determined based on the subjective weight and the objective weight, including: determining the subjective weight and the objective weight according to the subjective weighting and the objective weighting; calculating the average value of the subjective weight and the objective weight, and using the average value as the comprehensive weight of the reservoir parameters.

[0008] In one embodiment of the present application, based on the above solution, the method further includes: establishing a reservoir identification model based on reservoir characteristics corresponding to the low permeability oil and gas reservoir; determining the degree of influence of the low permeability oil and gas reservoir on the reservoir parameters according to the reservoir identification model;

[0009] Based on the degree of influence of the low permeability oil and gas reservoir on the reservoir parameters, the comprehensive weight of the reservoir parameters is determined.

[0010] In one embodiment of the present application, based on the aforementioned scheme, determining the reservoir grade identification interval according to the comprehensive weight of the reservoir parameters includes: determining the reservoir grade identification interval according to the comprehensive weight of the reservoir parameters and in combination with the reservoir parameters, and determining the reservoir grade identification interval is determined by a fuzzy mathematical algorithm.

[0011] In one embodiment of the present application, based on the aforementioned scheme, before identifying the low permeability oil and gas reservoir based on the reservoir grade identification interval, the method further includes: obtaining an initial reservoir grade identification interval; calculating an interval error based on the initial reservoir grade identification interval and the reservoir grade identification interval; if the interval error is less than or equal to a preset threshold, identifying the low permeability oil and gas reservoir based on the reservoir grade identification interval.

[0012] In one embodiment of the present application, based on the above solution, the method further includes: if the interval error is greater than a preset threshold, taking the reservoir grade identification interval as the initial reservoir grade identification interval, and re-executing the step of obtaining reservoir parameters.

[0013] According to one aspect of an embodiment of the present application, a low-permeability oil and gas reservoir identification device is provided, characterized in that the device includes: an acquisition unit for acquiring reservoir parameters, the reservoir parameters including reservoir abundance, permeability, porosity, effective sand body thickness, oil saturation and starting pressure gradient; a first determination unit for determining a comprehensive weight of the reservoir parameters based on the degree of identification of the low-permeability oil and gas reservoir by the reservoir parameters; a second determination unit for determining a reservoir grade identification interval based on the comprehensive weight of the reservoir parameters; and an identification unit for identifying the low-permeability oil and gas reservoir based on the reservoir grade identification interval.

[0014] According to one aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. The computer program includes executable instructions. When the executable instructions are executed by a processor, the method described in the above embodiment is implemented.

[0015] According to one aspect of an embodiment of the present application, an electronic device is provided, comprising: one or more processors; and a memory for storing executable instructions of the processors, wherein when the executable instructions are executed by the one or more processors, the one or more processors implement the methods described in the above embodiments.

[0016] In the present application, first, reservoir parameters that can be used to identify and evaluate low permeability oil and gas reservoirs are obtained. The reservoir parameters may include reservoir abundance, permeability, porosity, effective sand body thickness, oil saturation, and start-up pressure gradient. Based on the reservoir parameters obtained above, the comprehensive weights of the reservoir parameters corresponding to each reservoir parameter can be determined. Then, according to the comprehensive weights of the reservoir parameters and the reservoir parameters, a correlation calculation for identifying the type of low permeability oil and gas reservoir can be obtained, and a method for identifying different types of reservoirs in low permeability oil and gas reservoirs can be obtained. Therefore, through the method in the present application, favorable areas for the development of low permeability oil and gas reservoirs can be quantitatively identified and evaluated, comprehensive identification and evaluation standards for low permeability oil and gas reservoirs can be formulated, and the type of a specified low permeability oil and gas reservoir can be determined, so as to avoid potential risks and improve the effect of oil field development.

[0017] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are incorporated into and constitute a part of the specification, illustrating embodiments consistent with the present application and, together with the specification, explaining the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and those skilled in the art can derive other drawings based on these drawings without inventive effort. In the drawings:

[0019] Figure 1 Flowchart of a method for identifying low-permeability oil and gas reservoirs according to an embodiment of the present application;

[0020] Figure 2 1 is a block diagram of a low-permeability oil and gas reservoir identification device according to an embodiment of the present application;

[0021] Figure 3 Schematic diagram of the system structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art.

[0023] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner.In the following description, many specific details are provided so as to provide a full understanding of the embodiments of the present application. However, it will be appreciated by those skilled in the art that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps etc. can be adopted. In other cases, known methods, devices, implementations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0024] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0025] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, while others may be combined or partially combined. Therefore, the actual execution order may vary depending on the actual situation.

[0026] It should be noted that the term "plurality" used in this document refers to two or more. "And / or" describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. The character " / " generally indicates an "or" relationship between the associated objects.

[0027] The following is a detailed description of the implementation details of the technical solution of the embodiment of the present application:

[0028] According to one aspect of the present application, a method for identifying low permeability oil and gas reservoirs is provided. Figure 1 Flowchart of a method for identifying a low-permeability oil and gas reservoir according to an embodiment of the present application. The method can be performed by a device having a computing and processing function. The method includes at least steps 110 to 140, which are described in detail as follows:

[0029] In step 110 , reservoir parameters are acquired, including reservoir abundance, permeability, porosity, effective sand body thickness, oil saturation, and starting pressure gradient.

[0030] In this application, the reservoir parameters obtained must reflect not only the oil reserves, seepage capacity, and production dynamics of the reservoir, but also the microscopic pore structure characteristics and fluid mobilization capacity of the reservoir. Based on this, reservoir parameters that reflect the characteristics of low-permeability oil and gas reservoirs can be obtained by performing fuzzy clustering and empirical statistics on the data corresponding to low-permeability oil and gas reservoirs. These reservoir parameters may include reservoir abundance, permeability, porosity, effective sand body thickness, oil saturation, and start-up pressure gradient.

[0031] Continue to refer to Figure 1 In step 120, the comprehensive weight of the reservoir parameters is determined according to the recognition degree of the low permeability oil and gas reservoir by the reservoir parameters.

[0032] In this application, based on the comprehensive analysis of the reservoir parameters, the types of low permeability oil and gas reservoirs can be divided into Class I reservoirs, Class II reservoirs, Class III reservoirs and Class IV reservoirs.

[0033] For example, the sand bodies of Class I reservoirs are primarily multi-layered, polygonal, or multi-layered superimposed sand bodies, often forming core-bank or side-bank microfacies deposits. These reservoirs are primarily located in the lower or middle portions of the sand bodies. The rock types are massive medium-coarse-grained lithic quartz sandstone and medium-coarse-grained lithic sandstone. The pore types are granular dissolution pores and intercrystalline voids within authigenic clay minerals. Large tubular pore throats predominate, while isolated pore throats account for a small proportion.

[0034] For example, the sand body types of Class II reservoirs are mainly multi-layer polygonal, multi-layer or isolated superimposed sand bodies. The reservoirs are distributed in the middle or lower part of the core beach or side beach sand bodies. The rock type is massive medium-coarse-grained lithic quartz sandstone or lithic sandstone. The pore types are mainly granular dissolution pores and intercrystalline pores of authigenic clay minerals, and coarse tubular pore throats account for a large proportion.

[0035] For example, the sand body types of Class III reservoirs are mainly laterally obliquely arranged or finger-like cross-stacked sand bodies. The reservoirs are mostly distributed at the top or bottom of the channel-filling sand bodies. The rock type is thin plate-like fine-grained (feldspar) lithic sandstone. The pore type is mainly intercrystalline pores of authigenic clay minerals. The content of dissolved pores is low, and the proportion of small isolated pore throats is large.

[0036] For example, most Class IV reservoirs are non-effective reservoirs.

[0037] Based on this, in order to accurately classify low permeability oil and gas reservoirs, the comprehensive weight of the reservoir parameters can be determined according to the degree of recognition of the low permeability oil and gas reservoirs by the reservoir parameters, so as to determine the different categories of low permeability oil and gas reservoirs according to the comprehensive weight of the reservoir parameters.

[0038] In one embodiment of the present application, determining the comprehensive weight of the reservoir parameters according to the recognition degree of the low permeability oil and gas reservoir by the reservoir parameters may specifically include steps 121 to 122:

[0039] Step 121 : Calculate the subjective weight and objective weight corresponding to the reservoir parameters according to the recognition degree of the low permeability oil and gas reservoir by the reservoir parameters.

[0040] Step 122: Determine the comprehensive weight of reservoir parameters based on the subjective weight and the objective weight.

[0041] In this embodiment, when calculating the comprehensive weights of the reservoir parameters, the subjective weights and objective weights corresponding to the reservoir parameters can be first calculated. First, the subjective weights can be calculated using a subjective weighting method. The subjective weighting method is a subjective judgment based on the comprehensive abilities of industry experts, such as historical experience and accumulated knowledge, and can include the analytic hierarchy process and the relative comparison method. Then, the objective weights can be calculated using an objective weighting method. The objective weighting method is a method that determines weights based on actual data using the objective information reflected by the indicator values, and can include the entropy method and the grey correlation analysis method.

[0042] Furthermore, determining the comprehensive weight of the reservoir parameters based on the subjective weights and the objective weights may include the following steps: determining the subjective weights and the objective weights based on the subjective and objective weightings; calculating an average of the subjective and objective weights, and using the average as the comprehensive weight of the reservoir parameters. Table 1 shows examples of subjective weights, objective weights, and comprehensive weights corresponding to various reservoir parameters.

[0043]

[0044] Table 1

[0045] In another embodiment of the present application, the comprehensive weight of the reservoir parameters may be determined by the following method, which may specifically include steps 123 to 125:

[0046] Step 123: Establish a reservoir identification model based on the reservoir characteristics corresponding to the low permeability oil and gas reservoir.

[0047] Step 124: Determine the degree of influence of the low permeability oil and gas reservoir on the reservoir parameters based on the reservoir identification model.

[0048] Step 125: Determine the comprehensive weight of the reservoir parameters based on the degree of influence of the low permeability oil and gas reservoir on the reservoir parameters.

[0049] In this example, a reservoir identification model was established using numerical simulations based on the reservoir characteristics of the low-permeability oil and gas reservoir. The model uses a corner grid with a grid step size of DI = 5 meters, DJ = 3 meters, and DK = 0.5 meters. The grid size is 20 × 100 × 56 = 112,000. A sensitivity study was conducted by screening reserve abundance, permeability, porosity, effective sand body thickness, oil saturation, and threshold pressure gradient as the main influencing factors. The comprehensive weights of the reservoir parameters were determined based on the degree of influence of the low-permeability oil and gas reservoir on the reservoir parameters.

[0050] Continue to refer to Figure 1 In step 130, the reservoir grade identification interval is determined based on the comprehensive weight of the reservoir parameters.

[0051] In this application, after determining the comprehensive reservoir parameter weights corresponding to each reservoir parameter, fuzzy mathematical methods such as "Euclidean distance" can be applied to determine the reservoir grade identification interval. Then, through the optimal segmentation and classification method, applying the principles of intra-grade compactness and inter-grade separation, low-permeability oil and gas reservoir types can be classified into Class I, Class II, Class III, and Class IV reservoirs. Furthermore, the reliability of the above fuzzy mathematical methods can be verified using the results of multi-attribute utility models, gray comprehensive evaluation methods, ideal point methods, and deviation rate methods.

[0052] Furthermore, determining the reservoir grade identification interval based on the comprehensive weights of the reservoir parameters may include the following steps: determining the reservoir grade identification interval based on the comprehensive weights of the reservoir parameters in combination with the reservoir parameters, wherein the reservoir grade identification interval is determined using a fuzzy mathematical algorithm. Table 2 shows examples of reservoir grade identification intervals corresponding to various reservoir types.

[0053]

[0054] Table 2

[0055] Continue to refer to Figure 1 In step 140, the low permeability oil and gas reservoir is identified based on the reservoir grade identification interval.

[0056] In this application, the types of low-permeability oil and gas reservoirs can be distinguished more accurately based on the calculated reservoir grade identification interval.

[0057] In addition, after the reservoir grade identification interval is determined, in order to more accurately determine the range of the reservoir grade identification interval, the reservoir grade identification interval may be adjusted by calculating an interval error.

[0058] In one embodiment of the present application, before identifying the low permeability oil and gas reservoir based on the reservoir grade identification interval, the following steps may be further included:

[0059] Step 141: Obtain an initial reservoir grade identification interval.

[0060] Step 142: Calculate an interval error based on the initial reservoir grade identification interval and the reservoir grade identification interval.

[0061] Step 143: If the interval error is less than or equal to a preset threshold, the low permeability oil and gas reservoir is identified based on the reservoir grade identification interval.

[0062] In this embodiment, a comprehensive analysis of historical data can be performed to determine the initial reservoir grade identification interval corresponding to the low-permeability oil and gas reservoir. Then, based on the reservoir grade identification interval calculated using the reservoir parameters acquired in this application and the initial reservoir grade identification interval, the corresponding interval error can be calculated. If the interval error is less than or equal to a preset threshold, the low-permeability oil and gas reservoir is identified based on the reservoir grade identification interval, thereby enabling the identification of different reservoir types within the low-permeability oil and gas reservoir category.

[0063] Furthermore, if the interval error is greater than a preset threshold, the reservoir grade identification interval is used as an initial reservoir grade identification interval, and the step of obtaining reservoir parameters is re-executed.

[0064] The following describes an embodiment of the device of the present application, which can be used to perform the low permeability oil and gas reservoir identification method described in the above embodiment of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the low permeability oil and gas reservoir identification method described in the above embodiment of the present application.

[0065] Figure 2 4 is a block diagram of a low-permeability oil and gas reservoir identification device according to an embodiment of the present application.

[0066] Reference Figure 2 As shown, according to an embodiment of the present application, a low permeability oil and gas reservoir identification device 200, the device 200 includes: an acquisition unit 201, used to obtain reservoir parameters, the reservoir parameters including reservoir abundance, permeability, porosity, effective sand body thickness, oil saturation and starting pressure gradient; a first determination unit 202, used to determine the comprehensive weight of the reservoir parameters according to the degree of recognition of the low permeability oil and gas reservoir by the reservoir parameters; a second determination unit 203, used to determine the reservoir grade identification interval according to the comprehensive weight of the reservoir parameters; an identification unit 204, used to identify the low permeability oil and gas reservoir based on the reservoir grade identification interval.

[0067] As another aspect, the present application further provides a computer-readable storage medium having stored thereon a program product capable of implementing the methods described above in this specification. In some possible implementations, various aspects of the present application may also be implemented in the form of a program product comprising program code. When the program product is executed on a terminal device, the program code is configured to cause the terminal device to execute the steps described in the "Exemplary Methods" section above according to the various exemplary implementations of the present application.

[0068] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0069] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0070] The program code for performing the operations of the present application can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0071] As another aspect, the present application also provides an electronic device capable of implementing the above method.

[0072] Those skilled in the art will appreciate that various aspects of the present application can be implemented as systems, methods, or program products. Therefore, various aspects of the present application can be specifically implemented in the following forms: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation that combines hardware and software aspects, which may be collectively referred to herein as a "circuit," "module," or "system."

[0073] Figure 3 This is a schematic diagram of the system structure of an electronic device according to an embodiment of the present application. Figure 3 hereinafter, an electronic device 300 according to this embodiment of the present application is described. Figure 3 The electronic device 300 shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0074] like Figure 3 As shown, electronic device 300 is implemented as a general-purpose computing device. Components of electronic device 300 may include, but are not limited to, the aforementioned at least one processing unit 310, the aforementioned at least one storage unit 320, and a bus 330 connecting various system components (including storage unit 320 and processing unit 310).

[0075] The storage unit stores program code, which can be executed by the processing unit 310, so that the processing unit 310 performs the steps described in the above "Example Method" section of this specification according to various exemplary embodiments of the present application.

[0076] The storage unit 320 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 321 and / or a cache memory unit 322 , and may further include a read-only memory unit (ROM) 323 .

[0077] The storage unit 320 may also include a program / utility 324 having a set (at least one) of program modules 325, such program modules 325 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0078] Bus 330 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0079] The electronic device 300 can also communicate with one or more external devices 1200 (e.g., a keyboard, a pointing device, a Bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 300, and / or any device that enables the electronic device 300 to communicate with one or more other computing devices (e.g., a router, a modem, etc.). Such communication can occur via an input / output (I / O) interface 350. Furthermore, the electronic device 300 can also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 360. As shown, the network adapter 360 communicates with other modules of the electronic device 300 via a bus 330. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 300, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0080] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present application.

[0081] Furthermore, the above-mentioned figures are merely illustrative of the processes included in the methods according to exemplary embodiments of the present application and are not intended to be limiting. It is readily understood that the processes illustrated in the above-mentioned figures do not indicate or limit the temporal order of these processes. Furthermore, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0082] It should be understood that the present application is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be performed without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for identifying low permeability oil and gas reservoirs, characterized in that: The method comprises: Obtaining reservoir parameters, including reservoir abundance, permeability, porosity, effective sand body thickness, oil saturation, and starting pressure gradient; Determining a comprehensive weight of the reservoir parameters according to the degree of recognition of the low permeability oil and gas reservoir by the reservoir parameters; determining a reservoir grade identification interval according to the comprehensive weight of the reservoir parameters; Based on the reservoir grade identification interval, the low permeability oil and gas reservoir is identified.

2. The method according to claim 1, characterized in that Determining the comprehensive weight of the reservoir parameters according to the recognition degree of the low permeability oil and gas reservoir by the reservoir parameters includes: Calculating the subjective weight and the objective weight corresponding to the reservoir parameters according to the recognition degree of the low permeability oil and gas reservoir by the reservoir parameters; Based on the subjective weight and the objective weight, a comprehensive weight of the reservoir parameters is determined.

3. The method according to claim 2, characterized in that Determining the comprehensive weight of reservoir parameters based on the subjective weight and the objective weight includes: Determining the subjective weight and the objective weight according to the subjective weighting and the objective weighting; An average value of the subjective weight and the objective weight is calculated, and the average value is used as the comprehensive weight of the reservoir parameters.

4. The method according to claim 2, characterized in that The method further comprises: Establishing a reservoir identification model based on the corresponding reservoir characteristics of the low permeability oil and gas reservoir; determining the degree of influence of the low permeability oil and gas reservoir on the reservoir parameters according to the reservoir identification model; Based on the degree of influence of the low permeability oil and gas reservoir on the reservoir parameters, the comprehensive weight of the reservoir parameters is determined.

5. The method according to claim 1, wherein Determining the reservoir grade identification interval according to the comprehensive weight of the reservoir parameters includes: According to the comprehensive weight of the reservoir parameters and in combination with the reservoir parameters, a reservoir grade identification interval is determined, and the reservoir grade identification interval is determined by a fuzzy mathematical algorithm.

6. The method according to claim 1, characterized in that Before identifying the low permeability oil and gas reservoir based on the reservoir grade identification interval, the method further includes: Obtaining initial reservoir grade identification interval; calculating an interval error based on the initial reservoir grade identification interval and the reservoir grade identification interval; If the interval error is less than or equal to a preset threshold, the low permeability oil and gas reservoir is identified based on the reservoir grade identification interval.

7. The method according to claim 6, characterized in that The method further comprises: If the interval error is greater than a preset threshold, the reservoir grade identification interval is used as an initial reservoir grade identification interval, and the step of obtaining reservoir parameters is re-executed.

8. A low permeability oil and gas reservoir identification device, characterized in that: The device comprises: An acquisition unit is used to acquire reservoir parameters, wherein the reservoir parameters include reservoir abundance, permeability, porosity, effective sand body thickness, oil saturation and starting pressure gradient; A first determining unit is configured to determine a comprehensive weight of the reservoir parameters according to the recognition degree of the low permeability oil and gas reservoir by the reservoir parameters; a second determining unit, configured to determine a reservoir grade identification interval according to the comprehensive weight of the reservoir parameters; An identification unit is used to identify the low permeability oil and gas reservoir based on the reservoir grade identification interval.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores at least one program code, and the at least one program code is loaded and executed by a processor to implement the operations performed by the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device includes one or more processors and one or more memories, wherein the one or more memories store at least one program code, and the at least one program code is loaded and executed by the one or more processors to implement the operations performed by the method according to any one of claims 1 to 7.

Images