Gas sand body fine evaluation method and system based on intelligent splitting production and computer product

Abstract

The invention discloses a gas sand body fine evaluation method and system based on intelligent splitting production and a computer product, and relates to the technical field of gas reservoir research, the method comprises the following steps: firstly, selecting a yield splitting area, and establishing a yield splitting work area in the yield splitting area; different yield splitting methods are selected, yield splitting processing is conducted on the yield splitting work area, and yield calculation results of all wells in the work area are obtained; dividing each gas well into small layers according to the production conditions of each gas well, and calculating splitting coefficients of different small layers of each gas well; according to the intermediate calculation result, the yield calculation result of different gas sand bodies is calculated, and a gas sand body production curve is generated and displayed. According to the scheme, through integration of the dynamic production data and the static data, intelligent production splitting and multi-dimensional result statistical analysis, the single well small layer production history and the gas sand body production history can be conveniently and rapidly reproduced, and real-time tracking of the gas sand body reserve utilization condition and gas sand body development dynamic characteristic analysis are achieved.

Description

Technical Field

[0001] The present application relates to the technical field of gas reservoir research, and in particular to a gas sand body fine evaluation method, system and computer product based on intelligent splitting production. Background Art

[0002] In the process of oil and gas field development, the study of reservoir production is the basis and basis for adjusting development plans, comprehensively tapping potential and improving gas reservoir recovery. The relevant research on reservoir production splitting is a very important technical link directly related to the evaluation results of gas reservoir sand body (gas sand body) reservoir production situation. Especially for most multi-layer gas sandstone oilfield development, the accuracy of reservoir production splitting directly affects the implementation of production increase measures, and then affects the improvement of the final recovery rate.

[0003] Production splitting technology includes splitting of gas production of gas wells and splitting of water injection volume of water injection wells. Due to the influence of measures and other factors at different times, the test results are different. Therefore, the production splitting stages must be divided according to the changes in the formation and the changes in the test data profile, and then the production splitting is performed according to the test data at each stage. The existing production splitting scheme mainly relies on manual calculation, which has a huge workload and cannot achieve real-time dynamic and static tracking and analysis of the dynamic characteristics of gas sand body development.

[0004] Therefore, how to find an accurate and feasible production splitting method is the key to the study of gas reservoir production status. Summary of the invention

[0005] The purpose of this application is to provide a gas sand body fine evaluation method, system and computer product based on intelligent splitting production, which can realize real-time tracking of gas sand body reserve production status and analysis of gas sand body development dynamic characteristics.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides a method for fine evaluation of gas-sand bodies based on intelligent splitting production, comprising the following steps:

[0008] According to the changes in the gas sand body layer and the changes in the test data profile, the production splitting area is selected and the production splitting work area is established in the production splitting area.

[0009] Different production splitting methods are selected according to the production splitting work area, and production splitting processing is performed on the production splitting work area to obtain the production calculation results of each well in the production splitting work area.

[0010] Depending on whether each gas well has multiple measures, the gas well is divided into one or more stages according to the type of measures, and the splitting coefficient of each small layer is calculated in stages.

[0011] The gas production and water production of each layer are calculated according to the splitting coefficient of each layer.

[0012] According to the gas and water production of each layer, the gas-sand body production curve is generated and displayed, realizing real-time tracking of the gas-sand body reserve utilization and analysis of the dynamic characteristics of gas-sand body development.

[0013] Optionally, in the production splitting area, it is divided into blocks, fault blocks, well groups and single wells from large to small.

[0014] Optionally, the production splitting work area includes several gas wells and several water wells.

[0015] Optionally, the types of measures include perforating, plugging, esterification and fracturing.

[0016] Optionally, depending on whether each gas well has multiple measures, the gas well is divided into one or more stages according to the type of measures, and the splitting coefficient of each small layer is calculated in stages, specifically including:

[0017] The number of different types of measures taken by the gas well is determined. If the gas well only takes one type of measure, the gas well is divided into one stage; if the gas well takes multiple types of measures, the gas well is divided into multiple stages based on the time of each type of measure.

[0018] For gas wells, the splitting coefficient of each small layer is calculated in stages.

[0019] Optionally, the production splitting method includes a static splitting method and a dynamic splitting method; the static splitting method splits the production of each well into production sublayers based on the static data parameters of each well formation; the dynamic splitting method splits the production of each well into production sublayers with reference to the corresponding changes in the production and absorption profile, water content, and injection and production of each well.

[0020] In the second aspect, the present application provides a gas-sand body fine evaluation device based on intelligent splitting production, comprising:

[0021] The production splitting area selection module is used to select the production splitting area according to the changes in the gas sand body layer and the changes in the test data profile, and to establish the production splitting work area in the production splitting area.

[0022] The production splitting processing module is used to select different production splitting methods according to the production splitting work area, perform production splitting processing on the production splitting work area, and obtain the production calculation results of each well in the production splitting work area.

[0023] The gas well sub-layer division module is used to divide the gas well into one or more stages according to the type of measures, depending on whether each gas well has multiple measures, and calculate the splitting coefficient of each sub-layer in stages.

[0024] The gas sand body production calculation module is used to calculate the gas production and water production of each layer according to the splitting coefficient of each small layer.

[0025] The gas-sand body fine evaluation module is used to generate and display the gas-sand body production curve according to the gas and water production of each layer, so as to realize the real-time tracking of the gas-sand body reserve utilization and the analysis of the dynamic characteristics of gas-sand body development.

[0026] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any one of the above-mentioned methods for fine evaluation of gas-sand bodies based on intelligent splitting production.

[0027] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned methods for fine evaluation of gas-sand bodies based on intelligent splitting production.

[0028] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for fine evaluation of gas-sand bodies based on intelligent splitting production.

[0029] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0030] The present application provides a method, system and computer product for fine evaluation of gas sand bodies based on intelligent splitting, the method comprising: first selecting a production splitting area, and establishing a production splitting work area in the production splitting area; selecting different production splitting methods, performing production splitting processing on the production splitting work area, and obtaining the production calculation results of each well in the work area; dividing each gas well into small layers according to the production conditions of each gas well, and calculating the splitting coefficients of different small layers of each gas well; calculating the production calculation results of different gas sand bodies according to the above intermediate calculation results, and generating a gas sand body production curve for display. The above scheme of the present application conveniently and quickly reproduces the production history of a single well small layer and the production history of a gas sand body through the integration of dynamic production data and static data, intelligent splitting and multi-dimensional statistical analysis of results, and realizes real-time tracking of the reserve utilization status of the gas sand body and analysis of the dynamic characteristics of the development of the gas sand body. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 A flow chart of a gas-sand body fine evaluation method based on intelligent splitting production provided in one embodiment of the present application;

[0033] Figure 2 A schematic diagram of the results of a gas-sand body fine evaluation method based on intelligent splitting production provided in another specific embodiment of the present application;

[0034] Figure 3 A schematic diagram of functional modules of a gas-sand body fine evaluation system based on intelligent splitting production provided in one embodiment of the present application;

[0035] Figure 4 A schematic diagram of the structure of a computer device provided in one embodiment of the present application;

[0036] Figure 5 A schematic diagram of functional modules of a computer program product provided in one embodiment of the present application. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0038] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0039] In an exemplary embodiment, Figure 1 The flowchart shown provides a method for fine evaluation of gas-sand bodies based on intelligent splitting production, which is executed by a computer device and includes the following steps S1 to S5:

[0040] S1. According to the changes in the gas sand body layer and the changes in the test data profile, select the production splitting area and establish the production splitting work area in the production splitting area. In the production splitting area, it is divided into blocks, fault blocks, well groups and single wells from large to small.

[0041] S2. Select different production splitting methods according to the production splitting work area, perform production splitting processing on the production splitting work area, and obtain the production calculation results of each well in the production splitting work area. The production splitting work area includes a number of gas wells and a number of water wells.

[0042] Production splitting methods include static splitting and dynamic splitting. The static splitting method is to split the production of each well into production layers based on the static data parameters of each well formation. When the static splitting method is applied to oil wells, it includes the following two operations:

[0043] (1) Formation coefficient method, using kh for splitting, that is, using the product of the effective permeability and effective thickness of the oil layer for splitting, the unit is μm 2 ·m.

[0044] (2) Flow coefficient method, using kh / μ for splitting, that is, the ratio of formation coefficient to formation crude oil viscosity, with the unit of μm 2 ·m / (mPa·s).

[0045] The dynamic splitting rule refers to the production and absorption profile, water content, and injection-production changes of each well to split the production of each well into production sublayers, including the following three operations:

[0046] (1) Liquid production profile method: This method uses the liquid contribution rate of each layer measured in the liquid production profile of each gas well to split the gas production of each layer.

[0047] (2) Water absorption profile method, which uses the water absorption contribution rate of each layer measured in each water well absorption profile to split the water injection volume of each layer.

[0048] (3) Dynamic weight method, which is a method of splitting the production capacity and water injection volume of each layer based on the experience of dynamic personnel.

[0049] The above methods can be used individually or in combination. The staff can choose according to the actual needs of the project.

[0050] For wells with multi-layer mixed water injection, the water injection volume is initially split using the formation coefficient, and the water absorption profile is used after the water absorption profile is available. For stratified water injection wells, the weight of the stratified test data is used to split the wells that have undergone stratified testing (tracer), but when stratified testing and water absorption profile coexist, the dynamic water absorption profile shall prevail (currently, the water injection methods in oil fields are mostly tubing water injection, casing water injection, oil-casing mixed injection, or the use of eccentric water distributors to achieve multi-layer distributed water injection, but during field production, casing water injection channeling caused by lax packers or poor cementing quality often occurs, so the water absorption profile shall prevail).

[0051] For gas wells, there are several situations:

[0052] First, for wells with measured liquid production profiles, in principle, linear interpolation is performed based on the initial formation coefficient percentage and the gas and water production percentages of the liquid production profiles tested at different stages thereafter to split the gas and water production of each layer.

[0053] The second is that for an effective gas well with an unmeasured liquid production profile, production is split with the help of the corresponding water injection well water absorption profile.

[0054] Third, for remote gas wells that have neither liquid production profiles nor water injection to supplement energy, they are elastic or edge water driven and are only split using formation coefficients or flow coefficients.

[0055] The above production splitting principles are based on the assumption that there are impermeable barriers between layers, and no flow occurs between layers, that is, no fluid exchange occurs. When multiple layers are opened at the same time, the fluid of each layer flows into the wellbore separately. The fluid properties of each reservoir in a multi-layer gas reservoir are the same.

[0056] Porosity, permeability, formation thickness, formation pressure, skin coefficient, sand body size and other factors have a great influence on the stratified flow rate, and the weight of the influence varies with the change of production time. In addition, the injection and production system and other human factors also have a certain influence on the production contribution rate of each layer, which is based on the principle of splitting for specific problems.

[0057] S3. According to whether each gas well has multiple measures, the gas well is divided into one or more stages according to the type of measures, and the splitting coefficient of each small layer is calculated in stages. The types of measures include perforation, plugging, esterification and fracturing. Since the production conditions and data of the gas well are different, the splitting of the gas well is divided into several different situations. Specifically, step S3 is as follows:

[0058] The number of different types of measures taken by the gas well is determined. If the gas well only takes one type of measure, the gas well is divided into one stage; if the gas well takes multiple types of measures, the gas well is divided into multiple stages based on the time of each type of measure.

[0059] For gas wells, the splitting coefficient of each small layer is calculated in stages.

[0060] S4. Calculate the gas production and water production of each layer according to the splitting coefficient of each small layer. After splitting the production capacity and water injection of each gas well and water well according to the above process, in this step, the monthly gas production, water production and water injection of each single sand body are calculated by summarizing the same single sand body in the single sand body, and the cumulative gas production, cumulative water production and cumulative water injection values ​​of each single sand body are calculated at the same time.

[0061] S5. Generate and display the gas sand body production curve according to the gas and water production of each layer; realize real-time tracking of the gas sand body reserve utilization and analysis of the dynamic characteristics of gas sand body development. In this embodiment, through the integration of dynamic and static data, intelligent splitting and multi-dimensional statistical analysis of results, the production history of single well small layers and gas sand body production history can be reproduced conveniently and quickly, realizing real-time tracking of the gas sand body reserve utilization and analysis of the dynamic characteristics of gas sand body development.

[0062] In a specific embodiment, Figure 2 As shown, through the collation of single well perforation historical data, intelligent multi-method production splitting, monthly splitting production data of single well perforation section, monthly production data of single well sublayer, determination of the gas sand body to which the single well sublayer belongs and summarization of the production data of each gas sand body, the production curve of the gas sand body was drawn in Nanbaxian for the first time. After locating the gas sand body to which the pressure measurement data belongs and the gas sand body to which the RFT measuring point belongs, the recovery degree-pressure coefficient relationship diagram for evaluating the development effect of the gas sand body was obtained.

[0063] In some detailed embodiments, the production splitting study can obtain the following results data: a comprehensive database of single wells (mainly including: block division data, sub-layer stratification data, logging interpretation results, perforation data, liquid production profile, water absorption profile, monthly gas / water well production data), a historical production database of each perforation section of a single well (including monthly production, annual production, and cumulative production of the entire production time), a historical production database of each sub-layer of a single well, a historical production database of a single well sand group, a historical production database of each sub-layer of each fault block, and a historical production database of each sub-layer of each injection-production well group.

[0064] The main uses of production splitting results include: automatic statistics of parameters such as reservoir connectivity of blocks and injection-production well groups, water drive control degree, compilation of small layer production curves for single wells, compilation of small layer production curves for blocks or injection-production well groups, compilation of production status maps of each small layer, cumulative production maps, compilation of water content maps of each small layer, water flooding status maps, analysis of injection-production connectivity of injection-production well pairs, automatic statistics of water drive control degree of blocks and injection-production well groups, analysis of water content of each small layer, injection-production ratio, analysis of production speed, production degree, remaining recoverable reserves of each small layer, etc.

[0065] In the above method embodiment, firstly, a production splitting area is selected, and a production splitting work area is established in the production splitting area; different production splitting methods are selected, and the production splitting process is performed on the production splitting work area to obtain the production calculation results of each well in the work area; according to the production conditions of each gas well, each gas well is divided into small layers, and the splitting coefficients of different small layers of each gas well are calculated; according to the above intermediate calculation results, the production calculation results of different gas sand bodies are calculated, and the gas sand body production curve is generated for display; through the integration of dynamic production data and static data, intelligent production splitting and multi-dimensional statistical analysis of results, the production history of single well small layers and gas sand body production history are reproduced conveniently and quickly, and the real-time tracking of the reserve utilization status of the gas sand body and the dynamic characteristic analysis of the gas sand body development are realized.

[0066] Based on the same inventive concept, the present application also provides a gas-sand body fine evaluation system based on intelligent splitting production in a specific embodiment for implementing the gas-sand body fine evaluation method based on intelligent splitting production involved above. The implementation scheme for solving the problem provided by the system is similar to the method implementation scheme recorded in the above method, so the specific limitations in one or more gas-sand body fine evaluation system embodiments based on intelligent splitting production provided below can refer to the limitations of the gas-sand body fine evaluation method based on intelligent splitting production above, and will not be repeated here.

[0067] In an exemplary embodiment, Figure 3 As shown, a gas-sand body fine evaluation system based on intelligent splitting production is provided, including:

[0068] The production splitting area selection module M1 is used to select the production splitting area according to the change of the gas sand body layer and the change of the test data profile, and to establish the production splitting work area in the production splitting area.

[0069] The production splitting processing module M2 is used to select different production splitting methods according to the production splitting work area, perform production splitting processing on the production splitting work area, and obtain the production calculation results of each well in the production splitting work area.

[0070] The gas well sub-layer division module M3 is used to divide the gas well into one or more stages based on the time of the measures according to whether each gas well has multiple measures, and calculate the splitting coefficient of each sub-layer in stages.

[0071] The gas sand body production calculation module M4 is used to calculate the gas production and water production of each layer according to the splitting coefficient of each small layer.

[0072] The gas-sand body fine evaluation module M5 is used to generate and display the gas-sand body production curve according to the gas and water production of each layer, so as to realize the real-time tracking of the gas-sand body reserve production status and the analysis of the dynamic characteristics of gas-sand body development.

[0073] In some further detailed embodiments, some modules of the above system may also have subunits for implementing their functions. Figure 3 The architecture shown is only exemplary and can be omitted according to actual needs when implementing different functions. Figure 3 One or at least two components of the system shown.

[0074] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 4As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a gas sand body fine evaluation method based on intelligent splitting is realized.

[0075] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0076] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0077] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0078] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0079] In a specific embodiment, Figure 5 As shown, the computer program product includes modules such as data management system, reservoir geological research, conventional dynamic analysis, fine dynamic analysis of small layers, and professional auxiliary tools. The software integrates reservoir parameters, perforation data, production data, liquid production profile, water absorption profile, test data, and expert experience to achieve automatic splitting of well production based on small layers, and provides dynamic data of gas production, water production, water content, and water saturation data at different periods based on small layers.

[0080] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0081] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0082] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0083] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0084] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A gas-sand body fine evaluation method based on intelligent splitting production, characterized in that: The gas-sand body fine evaluation method based on intelligent splitting production includes: According to the change of gas sand body layer and the change of test data profile, the production splitting area is selected, and the production splitting work area is established in the production splitting area; Selecting different production splitting methods according to the production splitting work area, performing production splitting processing on the production splitting work area, and obtaining production calculation results of each well in the production splitting work area; According to whether each gas well has multiple measures, the gas well is divided into one or more stages according to the type of measures, and the splitting coefficient of each small layer is calculated in stages; Calculate the gas and water production of each layer according to the splitting coefficient of each layer; According to the gas and water production of each layer, the gas-sand body production curve is generated and displayed, realizing real-time tracking of the gas-sand body reserve utilization and analysis of the dynamic characteristics of gas-sand body development.

2. The gas-sand body fine evaluation method based on intelligent splitting production according to claim 1 is characterized in that: In the production splitting area, it is divided into blocks, fault blocks, well groups and single wells from large to small.

3. The gas-sand body fine evaluation method based on intelligent splitting production according to claim 1 is characterized in that: The production splitting area includes several gas wells and several water wells.

4. The gas-sand body fine evaluation method based on intelligent splitting production according to claim 1 is characterized in that: The types of measures described include perforating, plugging, esterification and fracturing.

5. The gas-sand body fine evaluation method based on intelligent splitting production according to claim 4 is characterized in that: According to whether each gas well has multiple measures, the gas well is divided into one or more stages according to the type of measures, and the splitting coefficient of each small layer is calculated in stages, including: Determine the number of different types of measures performed on the gas well. If the gas well performs only one type of measure, the gas well is divided into one stage; if the gas well performs multiple types of measures, the gas well is divided into multiple stages based on the time of each type of measure; For the gas well, the splitting coefficient of each small layer is calculated in stages.

6. The gas-sand body fine evaluation method based on intelligent splitting production according to claim 1 is characterized in that: The production splitting method includes a static splitting method and a dynamic splitting method; the static splitting method splits the production of each well into production sublayers based on the static data parameters of each well formation; the dynamic splitting method splits the production of each well into production sublayers with reference to the production and absorption profile, water content, and corresponding changes in injection and production of each well.

7. A gas-sand body fine evaluation system based on intelligent splitting production, characterized in that: The gas-sand body fine evaluation system based on intelligent splitting production includes: The production splitting area selection module is used to select the production splitting area according to the change of the gas sand body layer and the change of the test data profile, and establish the production splitting work area in the production splitting area; A production splitting processing module is used to select different production splitting methods according to the production splitting work area, perform production splitting processing on the production splitting work area, and obtain production calculation results of each well in the production splitting work area; The gas well sub-layer division module is used to divide the gas well into one or more stages according to the type of measures, and calculate the splitting coefficient of each sub-layer in stages; The gas sand body production calculation module is used to calculate the gas and water production of each layer according to the splitting coefficient of each small layer; The gas-sand body fine evaluation module is used to generate and display the gas-sand body production curve according to the gas and water production of each layer, so as to realize the real-time tracking of the gas-sand body reserve utilization and the analysis of the dynamic characteristics of gas-sand body development.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the gas-sand body fine evaluation method based on intelligent splitting production as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the gas-sand body fine evaluation method based on intelligent splitting production described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the gas-sand body fine evaluation method based on intelligent splitting production described in any one of claims 1 to 6 is implemented.

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