Tight sandstone reservoir sweet spot prediction method and device, electronic equipment and storage medium

Abstract

The invention provides a dense sandstone reservoir sweet spot prediction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a core of a coring section of a target stratum; comparing the characteristics of the rock core and the logging curve to finish the homing of the rock core; obtaining a rock facies division result of the rock core; determining favorable rock facies and pore structure characteristics thereof; determining a well logging interpretation model of the favorable rock facies; the well logging interpretation model of the favorable rock facies is used for well logging interpretation of the single well favorable rock facies, and a well logging interpretation result of the single well favorable rock facies is obtained; and predicting the sweet spot of the tight sandstone reservoir according to the well logging interpretation result of the favorable rock facies of the single well. The invention provides a tight sandstone facies division method under the constraint of sedimentary-diagenesis double factors, and the well logging interpretation model of the favorable rock facies is established to discriminate and quickly interpret the favorable rock facies of the single well, so that the sweet spots of the tight sandstone reservoir can be quickly and accurately identified and predicted.

Description

Technical Field

[0001] The present application relates to the technical field of oil and gas exploration and development, and in particular to a method, device, electronic equipment and storage medium for predicting sweet spots in a tight sandstone reservoir. Background Art

[0002] Tight sandstone gas has the characteristics of large resource scale and wide distribution. It is distributed in Sichuan, Ordos, Tarim and other basins, and is one of the important successor areas of conventional oil and gas resources. Studies have shown that tight sandstone gas is mainly found in delta sandstones near source rocks. High-energy distributary channels are the first factor controlling the distribution of sweet spots in tight sandstone reservoirs, providing a good material basis for the formation of high-quality reservoir sweet spots. However, the overall physical properties of tight sandstone reservoirs are poor, with a porosity generally less than 10% and an overburden permeability generally less than 0.1mD. The same river channel sand has undergone very complex diagenesis during burial, which has enhanced its heterogeneity. Only relatively high-quality reservoirs are developed locally, which has brought great difficulties to the identification and prediction of tight sandstone reservoir sweet spots. In conventional sandstone reservoir analysis, people often use sedimentary characteristics such as sedimentary structure and grain size of sandstone to divide rock phases, and carry out reservoir geological modeling research under the constraints of "sedimentary microfacies-rock phases". However, due to the stronger heterogeneity of tight sandstone reservoirs, conventional sandstone reservoir analysis methods have low accuracy in identifying and predicting sweet spots in tight sandstone reservoirs, and are unable to meet the needs of oil and gas exploration and development technology.

[0003] A large number of rock casting thin section identification results show that the single river channel tight sandstone reservoir has complex physical properties and pore structure characteristics due to different diagenesis. Therefore, diagenesis is the key factor in the development of tight sandstone reservoir sweet spots. This application proposes a method for the division of tight sandstone rock phases under the dual constraints of "sedimentation-diagenesis", in which favorable rock phases can be identified and quickly interpreted through well logging interpretation models, which has broad application prospects. Summary of the invention

[0004] In view of this, the present application provides a method, device, electronic device and storage medium for predicting sweet spots in a tight sandstone reservoir, so as to solve the technical problem of difficulty in predicting and evaluating sweet spots in a tight sandstone reservoir in the prior art.

[0005] In a first aspect, an embodiment of the present application provides a method for predicting sweet spots in a tight sandstone reservoir, the method comprising:

[0006] Obtain the core of the coring section of the target layer;

[0007] Conducting core lithology, fracture and physical property analysis, and comparing them with the logging curve change characteristics of the coring section to complete the return of the core;

[0008] Dividing the rock phases of the core to obtain a rock phase division result of the core;

[0009] Conduct reservoir physical properties and pore structure characteristics analysis of different rock phases of the core to determine favorable rock phases and their pore structure characteristics;

[0010] Select sample points representing different rock phases, obtain all logging curve values ​​corresponding to the sample points, and determine the logging interpretation model of the favorable rock phase through logging parameter intersection analysis based on all logging curve values ​​corresponding to the sample points;

[0011] Use the logging interpretation model of favorable rock phases to perform logging interpretation of favorable rock phases in a single well, and obtain the logging interpretation results of favorable rock phases in a single well;

[0012] Based on the logging interpretation results of the favorable rock phases of the single well, the sweet spots of the tight sandstone reservoir are predicted.

[0013] Furthermore, the dividing the rock phases of the core to obtain the rock phase division result of the core includes:

[0014] Using the core, conducting a comprehensive geological analysis of the target layer;

[0015] Establishing a division scheme of rock phases of tight sandstone reservoirs based on comprehensive geological analysis of the target layer;

[0016] According to the rock phase division scheme of the tight sandstone reservoir, the rock phase division result of the core is obtained.

[0017] Furthermore, the comprehensive geological analysis of the target layer includes:

[0018] The sedimentary structure, rock structure and diagenesis of the target layer are analyzed.

[0019] Furthermore, determining the logging interpretation model of the favorable rock phase according to all the logging curve values ​​corresponding to the sample points includes:

[0020] According to all the logging curve values ​​corresponding to the sample points, the logging parameter intersection analysis is performed according to the rock phase type, and the logging interpretation model of the favorable rock phase is determined in combination with the rock phase sample point casting results.

[0021] Furthermore, the logging interpretation model of the favorable rock phase includes:

[0022] Well logging sensitive parameters, well logging interpretation charts and discrimination formulas of favorable rock phases.

[0023] Furthermore, the method of performing single-well favorable rock phase well logging interpretation using the favorable rock phase well logging interpretation model and obtaining the single-well favorable rock phase well logging interpretation result further includes:

[0024] The well logging interpretation result of the favorable rock phase of the single well is compared with the rock phase division result of the core to judge the rationality of the well logging interpretation result of the favorable rock phase of the single well.

[0025] Furthermore, the well logging interpretation result of the single-well favorable rock phase includes the development layer section of the single-well favorable rock phase and the cumulative thickness of the single-well favorable rock phase.

[0026] In a second aspect, an embodiment of the present application provides a device for predicting sweet spots in a tight sandstone reservoir, the device comprising:

[0027] Core acquisition module, to obtain the core of the coring section of the target layer;

[0028] The core homing module analyzes the core lithology, fractures and physical properties, and compares them with the changing characteristics of the coring section logging curve to complete the homing of the core;

[0029] A rock phase division module is used to divide the rock phase of the core and obtain the rock phase division result of the core;

[0030] A rock phase reservoir physical property and pore structure characteristic analysis module is used to analyze the physical property and pore structure characteristics of different rock phase reservoirs of the core and determine favorable rock phases and their pore structure characteristics;

[0031] A module for determining a logging interpretation model for a favorable rock phase selects sample points representing different rock phases, obtains all logging curve values ​​corresponding to the sample points, and determines a logging interpretation model for a favorable rock phase through intersection analysis of logging parameters based on all logging curve values ​​corresponding to the sample points;

[0032] The single-well favorable rock phase logging interpretation module uses the favorable rock phase logging interpretation model to perform single-well favorable rock phase logging interpretation and obtain the single-well favorable rock phase logging interpretation results;

[0033] The tight sandstone reservoir sweet spot prediction module predicts the tight sandstone reservoir sweet spot according to the well logging interpretation results of the favorable rock phases of the single well.

[0034] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0035] processor;

[0036] Memory;

[0037] And a computer program, wherein the computer program is stored in the memory, and the computer program includes instructions, and when the instructions are executed by the processor, the electronic device executes any one of the methods described in the first aspect.

[0038] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the methods described in the first aspect.

[0039] This application proposes a method for dividing tight sandstone phases under the dual constraints of "deposition-diagenesis", and determines and quickly interprets the favorable rock phase logging of a single well by establishing a logging interpretation model of the favorable rock phase, thereby providing a geological basis for the selection of sweet spots in tight sandstone reservoirs and the optimization of target areas, and being able to quickly and accurately identify and predict the sweet spots in tight sandstone reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present application, 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 labor.

[0041] Figure 1 A schematic diagram of a process for predicting sweet spots in a tight sandstone reservoir provided in an embodiment of the present application;

[0042] Figure 2 A typical sedimentary structural characteristic map of the Xusan section in Dayi area provided in the embodiment of the present application;

[0043] Figure 3 A statistical histogram of rock phase porosity of the Xu 3rd Member in Dayi area provided in the embodiment of the present application;

[0044] Figure 4 The well logging interpretation plate of favorable rock phases of Xu 3rd section in Dayi area provided in the embodiment of the present application;

[0045] Figure 5 A comparison diagram of the cross-section of the wells Dayi 102-Dayi 1-Dayi 101-Dayi 2-Dayi 3-Dayi 4-Dayi 6 provided in the embodiment of the present application;

[0046] Figure 6 The thickness distribution map of favorable rock phases in the third section of Xu in Dayi area provided in the embodiment of the present application;

[0047] Figure 7 A structural block diagram of a tight sandstone reservoir sweet spot prediction device provided in an embodiment of the present application;

[0048] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] In order to better understand the technical solution of the present application, the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0050] It should be clear that the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0051] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0052] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0053] See also Figure 1 , is a flow chart of a method for predicting sweet spots in a tight sandstone reservoir provided in an embodiment of the present application, such as Figure 1 As shown, it mainly includes the following steps.

[0054] S101: Obtaining the core of the coring section of the target layer.

[0055] In the examples of this application, the Xu 3rd section in Dayi area is taken as the target layer for research, and the core of the coring well of the Xu 3rd section in Dayi area is obtained. According to the regional geological background, a set of braided river delta deposits with thick sand bodies and wide distribution area is developed in the Xu 3rd section in Dayi area, among which the sand bodies are mainly developed in the middle subsection of Xu 3rd section, and the distribution of sand bodies is mainly controlled by the distributary channel of the delta plain, and is distributed in a near northeast-southwest direction.

[0056] S102: Analyze the lithology, fractures and physical properties of the core, and compare them with the changing characteristics of the logging curve of the coring section to complete the return of the core.

[0057] According to the characteristics of the lithology, fractures and physical property changes of the cores, the cores of the coring sections of Dayi 1, Dayi 3 and other 6 wells were compared with the characteristics of the well logging curves, and the cores of the coring sections of the Xusan section were returned. The well logging curves here include gamma logging curves (GR), acoustic logging curves (AC), natural potential logging curves (SP), neutron logging curves (CNL), formation true resistivity logging curves (RT) and density logging curves (DEN). When comparing, it is necessary to compare with various types of logging curves to complete the core return.

[0058] S103: Divide the rock phases of the core to obtain a rock phase division result of the core.

[0059] During specific implementation, the core is first used to conduct a comprehensive geological analysis of the target layer.

[0060] The comprehensive geological analysis of the target layer includes analysis of the sedimentary structure, rock structure and diagenesis of the target layer.

[0061] Through observation and microscopic identification of 85.3-meter cores from six key coring wells in the Xu 3rd Member in Dayi area, four main sedimentary structural types were identified, including massive, parallel bedding, oblique bedding, and horizontal bedding. Figure 2 The analysis of rock structure mainly includes grain size analysis, which includes medium-coarse grains, medium grains, fine grains and silt grains, with medium grains being the main ones.

[0062] Through systematic thin section observation, it was determined that the diagenesis of the tight sandstone of the Xusan Member includes four main types: compaction, dissolution, siliceous cementation, and calcareous cementation.

[0063] Based on the comprehensive geological action analysis of the target layer, a division scheme of the rock phases of the tight sandstone reservoir is established.

[0064] According to the analysis of the sedimentary structure, rock structure and diagenesis of the tight sandstone of the Xusan Member in Dayi area, the rock phases of the tight sandstone reservoir of the Xusan Member in Dayi area are divided into 11 types, including parallel bedding medium-coarse-grained dissolved sandstone, etc. Among them, the tight sandstone has experienced strong compaction, and the diagenesis that determines its physical properties and pore structure is mainly dissolution and cementation. Therefore, compaction does not participate in the classification and naming of rock phases. The rock phase division table of the tight sandstone reservoir of the Xusan Member in Dayi area is shown in Table 1.

[0065] According to the rock phase division scheme of the tight sandstone reservoir, the rock phase division result of the core is obtained.

[0066] According to the rock phase division table of tight sandstone reservoirs in the Xu 3rd member of Dayi area established in Table 1, the rock phases of the cores of 6 key coring wells of the Xu 3rd member of Dayi area were divided to obtain the rock phase division results of the cores.

[0067] Table 1:

[0068]

[0069]

[0070] S104: Analyze the reservoir physical properties and pore structure characteristics of different rock phases of the core to determine favorable rock phases and their pore structure characteristics;

[0071] The physical properties of 295 cores of the Xu 3rd Member were statistically analyzed. Combined with cast thin section identification and CT scanning analysis, it was determined that parallel-bedding coarse-grained dissolved sandstone, massive medium-grained dissolved sandstone, and oblique-bedding medium-grained dissolved sandstone are the most favorable rock phase types in the Xu 3rd Member in Dayi area. The average porosity of the above three types of rock phases is greater than 3.8%, and the reservoir space is mainly composed of dissolved pores in feldspar particles, with good pore connectivity; the physical properties of calcareous cementation, fine sandstone, and siltstone are poor. The porosity statistics of the rock phases of the Xu 3rd Member in Dayi area are shown in the following bar chart: Figure 3 shown.

[0072] S105: Select sample points representing different rock phases, obtain all logging curve values ​​corresponding to the sample points, and determine the logging interpretation model of the favorable rock phase through logging parameter intersection analysis based on all logging curve values ​​corresponding to the sample points.

[0073] 295 sample points representing different rock phases were selected, and all logging curve values ​​corresponding to the sample points were obtained. The logging curves here include gamma logging curve (GR), acoustic logging curve (AC), natural potential logging curve (SP), neutron logging curve (CNL), formation true resistivity logging curve (RT) and density logging curve (DEN).

[0074] According to all the logging curve values ​​corresponding to the sample points, GR-AC, GR-DEN, GR-CNL and other intersection diagrams are analyzed according to the rock phase type. Combined with the rock phase sample point casting results, the logging interpretation model of the favorable rock phase is determined, including: logging sensitive parameters of the favorable rock phase, logging interpretation chart and discrimination formula.

[0075] Through the above analysis, it is determined that GR and AC are the logging sensitive parameters for determining the favorable rock phase of the third member of Xu in Dayi area. The determination formula for the favorable rock phase of the third member of Xu in Dayi area is: GR<70API&AC>0.175GR+51.75. The logging interpretation chart of the favorable rock phase of the third member of Xu in Dayi area is as follows: Figure 4 shown.

[0076] S106: Perform single-well favorable rock phase logging interpretation using the favorable rock phase logging interpretation model to obtain single-well favorable rock phase logging interpretation results.

[0077] According to the logging interpretation chart and discrimination formula of the favorable rock facies of the third member of Xuzhou in Dayi area, and under the constraint of favorable sedimentary microfacies, the logging interpretation of the favorable rock facies of the third member of Xuzhou in 11 wells in Dayi area was carried out, and the logging interpretation results of the favorable rock facies of single well were obtained.

[0078] The logging interpretation results of the favorable rock phases of the single well were compared with the rock phase division results of the core. The favorable rock phases interpreted by the logging were consistent with the favorable rock phases divided by the core at a degree of more than 90%, which is a high degree of consistency, proving that the GR-AC logging interpretation chart and its discrimination formula can effectively and accurately depict favorable rock phases.

[0079] Figure 5 This is a comparison diagram of the cross-section of Dayi 102-Dayi 1-Dayi 101-Dayi 2-Dayi 3-Dayi 4-Dayi 6 wells. Figure 5 The well logging interpretation results of favorable rock phases of a single well are shown in Figure 2, including the development intervals of favorable rock phases of a single well and the cumulative thickness of favorable rock phases of a single well. According to the well logging interpretation results of favorable rock phases of a single well, it can be seen that the favorable rock phases are mainly developed in the middle and lower parts of the delta plain subfacies distributary channel, but the wells show strong heterogeneity, and the cumulative thickness is between 35-138m.

[0080] S107: Predicting sweet spots in tight sandstone reservoirs based on the well logging interpretation results of the favorable rock phases of the single well.

[0081] According to the cumulative thickness of the favorable rock phases in the single well of the Xu 3rd Member in Dayi area, thickness mapping was carried out under the constraint of sedimentary microfacies, and the thickness distribution map of the favorable rock phases in the Xu 3rd Member in Dayi area was obtained, as shown in Figure 2. Figure 6 The results show that the favorable rock phases of Dayi Xu 3 are mainly developed in the middle of the distributary channel, characterized by large thickness and relatively continuous vertical distribution, such as Dayi 6. The above favorable rock phase distribution position is the favorable position for the development of high-quality reservoirs, that is, the sweet spot of tight sandstone reservoirs.

[0082] In view of the poor overall physical properties and strong heterogeneity of tight sandstone reservoirs, as well as the technical problem of difficult reservoir sweet spot evaluation, this application proposes a method for dividing tight sandstone phases under the dual constraints of "sedimentation-diagenesis". On the basis of fully analyzing the characteristics of tight sandstone reservoir deposition and diagenesis, the factors that restrict the physical properties and pore structure of tight sandstone reservoirs are clarified, and then a division scheme for tight sandstone phases is established. Then, through the analysis of rock phase logging response characteristics and logging sensitive parameter intersection diagrams, a favorable rock phase logging interpretation model is established, thereby providing technical support for the evaluation of tight sandstone reservoir sweet spots. The rock phase division method proposed in this application can effectively characterize the differences in rock physical properties and pore structures, and through the establishment of a logging interpretation model for favorable rock phases, the favorable rock phase measurements of a single well are identified and quickly interpreted, thereby providing a geological basis for the selection of sweet spots in tight sandstone reservoirs and the optimization of target areas, and can quickly and accurately identify and predict tight sandstone reservoir sweet spots.

[0083] Corresponding to the above-mentioned embodiment, the present application also provides a tight sandstone reservoir sweet spot prediction device.

[0084] See also Figure 7 , is a structural block diagram of a tight sandstone reservoir sweet spot prediction device provided in an embodiment of the present application, which mainly includes the following modules.

[0085] The core acquisition module 701 acquires the core of the coring section of the target layer;

[0086] The core homing module 702 performs analysis on the core lithology, fractures and physical properties, and compares the core lithology, fractures and physical properties with the log curve variation characteristics of the coring section to complete the homing of the core;

[0087] A rock phase division module 703 divides the rock phase of the core to obtain a rock phase division result of the core;

[0088] The rock phase reservoir physical property and pore structure characteristic analysis module 704 performs analysis on the physical property and pore structure characteristics of different rock phase reservoirs of the core to determine favorable rock phases and their pore structure characteristics;

[0089] The logging interpretation model determination module 705 for favorable rock phases selects sample points representing different rock phases, obtains all logging curve values ​​corresponding to the sample points, and determines the logging interpretation model for favorable rock phases through logging parameter intersection analysis based on all logging curve values ​​corresponding to the sample points;

[0090] A single-well favorable rock phase logging interpretation module 706 performs single-well favorable rock phase logging interpretation using a favorable rock phase logging interpretation model to obtain a single-well favorable rock phase logging interpretation result;

[0091] The tight sandstone reservoir sweet spot prediction module 707 predicts the tight sandstone reservoir sweet spot according to the well logging interpretation result of the favorable rock phase of the single well.

[0092] It should be pointed out that the specific contents involved in the embodiments of the present application can be found in the description of the above method embodiments, and for the sake of brevity, they will not be repeated here.

[0093] Corresponding to the above embodiment, an embodiment of the present application further provides an electronic device.

[0094] See also Figure 8 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 8 As shown, the electronic device 800 may include: a processor 801, a memory 802 and a communication unit 803. These components communicate via one or more buses. Those skilled in the art will appreciate that the electronic device structure shown in the figure does not limit the embodiments of the present application. It may be a bus structure or a star structure, and may include more or fewer components than shown in the figure, or combine certain components, or arrange components differently.

[0095] The communication unit 803 is used to establish a communication channel so that the electronic device can communicate with other devices.

[0096] The processor 801 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. It runs or executes software programs and / or modules stored in the memory 802, and calls data stored in the memory to perform various functions of the electronic device and / or process data. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs with the same or different functions. For example, the processor 801 can include only a central processing unit (CPU). In the embodiment of the present application, the CPU can be a single computing core or multiple computing cores.

[0097] The memory 802 is used to store the execution instructions of the processor 801. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0098] When the execution instructions in the memory 802 are executed by the processor 801 , the electronic device 800 is enabled to execute part or all of the steps in the above method embodiment.

[0099] Corresponding to the above embodiment, the embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium may store a program, wherein when the program is running, the device where the computer-readable storage medium is located may be controlled to perform some or all of the steps in the above method embodiment. In a specific implementation, the computer-readable storage medium may be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0100] Corresponding to the above-mentioned embodiment, the embodiment of the present application further provides a computer program product, which includes executable instructions. When the executable instructions are executed on a computer, the computer executes some or all of the steps in the above-mentioned method embodiment.

[0101] In the embodiments of the present application, "at least one" refers to one or more, and "plurality" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and subsequent associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0102] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0103] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0104] In several embodiments provided in the present application, any function can be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., and other media that can store program codes.

[0105] The above is only a specific implementation of the present application. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. The protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for predicting sweet spots in tight sandstone reservoirs, characterized in that: include: Obtain the core of the coring section of the target layer; Conducting core lithology, fracture and physical property analysis, and comparing them with the logging curve change characteristics of the coring section to complete the return of the core; Dividing the rock phases of the core to obtain a rock phase division result of the core; Conduct reservoir physical properties and pore structure characteristics analysis of different rock phases of the core to determine favorable rock phases and their pore structure characteristics; Select sample points representing different rock phases, obtain all logging curve values ​​corresponding to the sample points, and determine the logging interpretation model of the favorable rock phase through logging parameter intersection analysis based on all logging curve values ​​corresponding to the sample points; Use the logging interpretation model of favorable rock phases to perform logging interpretation of favorable rock phases in a single well, and obtain the logging interpretation results of favorable rock phases in a single well; Based on the logging interpretation results of the favorable rock phases of the single well, the sweet spots of the tight sandstone reservoir are predicted.

2. The method according to claim 1, characterized in that The step of dividing the rock phases of the core to obtain the rock phase division result of the core includes: Using the core, conducting a comprehensive geological analysis of the target layer; Establishing a division scheme of rock phases of tight sandstone reservoirs based on comprehensive geological analysis of the target layer; According to the rock phase division scheme of the tight sandstone reservoir, the rock phase division result of the core is obtained.

3. The method according to claim 2, characterized in that The comprehensive geological analysis of the target layer includes: The sedimentary structure, rock structure and diagenesis of the target layer are analyzed.

4. The method according to claim 1, characterized in that: Determining the logging interpretation model of the favorable rock phase according to all the logging curve values ​​corresponding to the sample points includes: According to all the logging curve values ​​corresponding to the sample points, the logging parameter intersection analysis is performed according to the rock phase type, and the logging interpretation model of the favorable rock phase is determined in combination with the rock phase sample point casting results.

5. The method according to claim 1, characterized in that The well logging interpretation model of the favorable rock phase includes: Well logging sensitive parameters, well logging interpretation charts and discrimination formulas of favorable rock phases.

6. The method according to claim 1, characterized in that The method of performing single-well favorable rock phase well logging interpretation using the favorable rock phase well logging interpretation model and obtaining the single-well favorable rock phase well logging interpretation result also includes: The well logging interpretation result of the favorable rock phase of the single well is compared with the rock phase division result of the core to judge the rationality of the well logging interpretation result of the favorable rock phase of the single well.

7. The method according to claim 1, characterized in that The well logging interpretation result of the single-well favorable rock phase includes the development layer section of the single-well favorable rock phase and the cumulative thickness of the single-well favorable rock phase.

8. A device for predicting sweet spots in tight sandstone reservoirs, characterized in that: include: Core acquisition module, to obtain the core of the coring section of the target layer; The core homing module analyzes the core lithology, fractures and physical properties, and compares them with the changing characteristics of the coring section logging curve to complete the homing of the core; A rock phase division module is used to divide the rock phase of the core and obtain the rock phase division result of the core; A rock phase reservoir physical property and pore structure characteristic analysis module is used to analyze the physical property and pore structure characteristics of different rock phase reservoirs of the core and determine favorable rock phases and their pore structure characteristics; A module for determining a logging interpretation model for a favorable rock phase selects sample points representing different rock phases, obtains all logging curve values ​​corresponding to the sample points, and determines a logging interpretation model for a favorable rock phase through intersection analysis of logging parameters based on all logging curve values ​​corresponding to the sample points; The single-well favorable rock phase logging interpretation module uses the favorable rock phase logging interpretation model to perform single-well favorable rock phase logging interpretation and obtain the single-well favorable rock phase logging interpretation results; The tight sandstone reservoir sweet spot prediction module predicts the tight sandstone reservoir sweet spot according to the well logging interpretation results of the favorable rock phases of the single well.

9. An electronic device, characterized in that: include: processor; Memory; And a computer program, wherein the computer program is stored in the memory, and the computer program includes instructions, and when the instructions are executed by the processor, the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

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