A method and system for constructing a reservoir fine stratigraphic framework model

Abstract

The application discloses a method and system for constructing a reservoir fine stratigraphic framework model, which comprises the following steps: determining feature parameters of a plurality of sub-modules for simulating different stratigraphic features of a reservoir to be studied according to electrical imaging logging data of the reservoir to be studied; constructing corresponding sub-models by using the feature parameters of the plurality of sub-modules; and performing depth homing on each sub-model according to the stratigraphic depth of the stratigraphic feature simulated by each sub-model, so as to form a fine stratigraphic framework model of the current reservoir to be studied. The reservoir fine stratigraphic framework model constructed by the application makes the stratigraphic study work more intuitive and deepened, better depicts the stratigraphic boundary and occurrence, and accurately describes the features of the well-side stratigraphic structure, thereby laying a model foundation for subsequent studies on influences of factors such as strata, rocks and fluids on rock physical properties such as sound, electricity and nuclear magnetic.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of oil geological exploration and development, and particularly relates to a method and system for constructing a fine formation framework model of a reservoir. BACKGROUND

[0002] With the rapid development of China's economy and the increasing demand for oil and gas resources, unconventional and various complex oil and gas reservoirs have become an important direction of exploration and development. Due to the serious heterogeneity, complex rock mineral composition, diversified reservoir space and low porosity and permeability of the reservoirs where the complex oil and gas reservoirs are located, the uniform formation model constructed based on the traditional zoning cannot accurately represent the formation characteristics of the complex reservoirs and unconventional reservoirs. If a uniform formation model is used for well logging interpretation and evaluation, it will lead to insufficient understanding of the rock physical response mechanism of the formation. Therefore, it is necessary to establish a fine formation model for representing unconventional reservoirs and complex reservoirs within the detection scale of well logging, so as to lay a model foundation for the subsequent study of the influence of factors such as formation, rock and fluid on rock physical properties such as sound, electricity and nuclear magnetic. SUMMARY

[0003] In order to solve the above problems, the embodiments of the present application provide a method for constructing a fine formation framework model of a reservoir, comprising: determining feature parameters of a plurality of sub-modules for simulating different stratification characteristics of a reservoir to be studied according to electrical imaging logging data of the reservoir to be studied; constructing a corresponding sub-model by using the feature parameters of the plurality of sub-modules; and depth homing each sub-model according to the formation depth of the stratification characteristics simulated by each sub-model, thereby forming a fine formation framework model of the current reservoir to be studied.

[0004] Preferably, the feature parameters include a first feature parameter representing an actual stratification size and a second feature parameter representing an actual stratification inclination state, wherein in the step of constructing a corresponding sub-model by using the feature parameters of the plurality of sub-modules, the step includes: constructing each sub-module into a cuboid sub-model with a zero inclination angle and a zero inclination azimuth according to the first feature parameter, wherein the height of the sub-model is the actual thickness of the corresponding stratification, and the width of the sub-model is the logging radial detection depth of the corresponding stratification; and rotating each sub-model according to the second feature parameter, so that the inclination state of each sub-model in the horizontal direction is consistent with the actual inclination and the actual inclination angle of the corresponding stratification.

[0005] Preferably, in the process of rotating each sub-model, the step includes: rotating each sub-model in a coordinate rotation mode, wherein the north direction is configured as the Y axis, the east direction is configured as the X axis, and the direction perpendicular to the ground is configured as the Z axis.

[0006] Preferably, in the process of rotating each sub-model, it also includes: first rotating each sub-model around the X-axis on the section to obtain an inclination consistent with the corresponding bedding, and then rotating each currently rotated sub-model around the Z-axis on the profile to obtain a tendency consistent with the corresponding bedding, wherein the profile is a plane perpendicular to the Z-axis, and the section is a plane parallel to the Z-axis.

[0007] Preferably, the step of depth-repositioning each sub-model includes: specifying a square section and a rectangular section in each rotated sub-model, and using the square section and the rectangular section as sides, combined with the starting depths of different beddings, to obtain each repositioned sub-model for constituting a fine stratigraphic framework model of the reservoir to be studied, wherein the side length of the square section is twice the radial logging detection depth of the corresponding bedding, and the width of the rectangular section is the actual thickness of the corresponding bedding.

[0008] Preferably, the characteristic parameters of the multiple submodules are obtained based on the formation thickness information and formation occurrence information in the electrical imaging logging data, wherein the formation thickness information includes the starting depth and ending depth of different stratifications; and the formation occurrence information includes the dip and inclination of different stratifications.

[0009] Preferably, a first characteristic parameter among the characteristic parameters is obtained based on the formation thickness information; and a second characteristic parameter among the characteristic parameters is obtained based on the formation occurrence information.

[0010] In addition, the present invention also proposes a system for constructing a fine stratigraphic framework model of a reservoir, the system comprising the following modules: a characteristic parameter generation module, which is used to determine the characteristic parameters of multiple sub-modules for simulating different bedding characteristics of the reservoir to be studied based on the electrical imaging logging data of the reservoir to be studied; a sub-model construction module, which is used to construct corresponding sub-models respectively using the characteristic parameters of multiple sub-modules; a framework model construction module, which is used to perform depth relocation of each sub-model according to the stratigraphic depth of the bedding characteristics simulated by each sub-model, thereby forming a fine stratigraphic framework model of the current reservoir to be studied.

[0011] Preferably, the characteristic parameters include a first characteristic parameter representing actual bed size and a second characteristic parameter representing actual bed dip state, wherein the sub-model construction module further comprises a sub-model shape generation unit configured to construct each sub-model as a cuboid sub-model with a dip angle of zero and a dip azimuth of zero according to the first characteristic parameter, wherein the height of the sub-model is the actual thickness of the corresponding bed and the width of the sub-model is the logging radial detection depth of the corresponding bed; and a sub-model posture adjustment unit configured to rotate each sub-model according to the second characteristic parameter, so that the dip state of each sub-model in the horizontal direction is consistent with the actual dip and the actual dip angle of the corresponding bed.

[0012] Preferably, the sub-model posture adjustment unit is further configured to rotate each sub-model in a coordinate rotation manner, wherein the north direction is configured as the Y axis, the east direction is configured as the X axis, and the direction perpendicular to the ground is configured as the Z axis.

[0013] Compared with the prior art, one or more embodiments of the above scheme can have the following advantages or beneficial effects:

[0014] The present application provides a method and system for constructing a reservoir fine stratigraphic framework model. The method first obtains characteristic parameters for simulating different bed characteristics of a reservoir to be studied based on electrical imaging logging data of the reservoir to be studied. Then, a sub-model for simulating each bed characteristic is constructed using the characteristic parameters of each bed characteristic. Finally, a fine stratigraphic framework model of the current reservoir to be studied is formed using the sub-model of each bed characteristic according to the actual well depth corresponding to each sub-model. The reservoir fine stratigraphic framework model constructed by the present application makes the stratigraphic research work more intuitive and in-depth, better depicts the stratigraphic boundary and occurrence, and accurately describes the characteristics of the stratigraphic structure beside the well, thereby laying a model foundation for subsequent research on the influence of factors such as strata, rocks and fluids on rock physical properties such as sound, electricity and nuclear magnetic.

[0015] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent from the description, or can be learned by practice of the present application. The objects and other advantages of the present application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings are included to provide a further understanding of the present application and are incorporated in and constitute a part of the specification, illustrate embodiments of the present application and together with the description serve to explain the present application, but are not intended to limit the present application. In the drawings:

[0017] Figure 1 is a step diagram of the method for constructing a reservoir fine stratigraphic framework model according to an embodiment of the present application.

[0018] Figure 2 FIG. 1 is a schematic diagram of a coordinate system configuration of a method for constructing a reservoir fine stratigraphic framework model according to an embodiment of the present application.

[0019] Figure 3 FIG. 2 is an example diagram of a stratigraphic dip and trend of a method for constructing a reservoir fine stratigraphic framework model according to an embodiment of the present application.

[0020] Figure 4 FIG. 3 is an example diagram of a sub-model homing of a method for constructing a reservoir fine stratigraphic framework model according to an embodiment of the present application.

[0021] Figure 5 FIG. 4 is an example diagram of a sub-model integration of a method for constructing a reservoir fine stratigraphic framework model according to an embodiment of the present application.

[0022] Figure 6 FIG. 5 is an example diagram of a reservoir fine stratigraphic framework model of a method for constructing a reservoir fine stratigraphic framework model according to an embodiment of the present application.

[0023] Figure 7 FIG. 6 is a module block diagram of a system for constructing a reservoir fine stratigraphic framework model according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] The embodiments of the present application will be described in detail hereinafter with reference to the drawings and embodiments, by which the technical means applied by the present application to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, each embodiment in the present application and each feature in each embodiment can be combined with each other, and the technical solutions formed thereby are all within the protection scope of the present application.

[0025] In addition, the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown.

[0026] With the rapid development of China's economy and the increasing demand for oil and gas resources, unconventional and other complex oil and gas reservoirs have become an important direction of exploration and development. In view of the serious heterogeneity, complex rock mineral composition, diversified reservoir space and low porosity and permeability of the reservoir where the complex oil and gas reservoir is located, the uniform stratum model constructed based on the traditional zoning cannot accurately represent the stratum characteristics of the complex reservoir and the unconventional reservoir. If the uniform stratum model is used for well logging interpretation and evaluation, it will lead to insufficient understanding of the rock physics response mechanism of the stratum. Therefore, it is necessary to establish a fine stratum model for representing the unconventional reservoir and the complex reservoir within the detection scale of the well logging, so as to lay a model foundation for the subsequent study of the influence of the stratum, rock and fluid on the rock physics properties such as acoustic, electric and nuclear magnetic.

[0027] Therefore, in order to solve the above problems, the present application provides a method and system for constructing a reservoir fine stratum framework model. The method first obtains feature parameters for simulating different stratification characteristics of the reservoir to be studied based on the electrical imaging logging data of the reservoir to be studied. Then, the feature parameters of each stratification characteristic are used to construct a sub-model for simulating each stratification characteristic. Finally, the fine stratum framework model of the current reservoir to be studied is formed by using the sub-model of each stratification characteristic according to the actual well depth corresponding to each sub-model. The reservoir fine stratum framework model constructed by the present application makes the stratum research work more intuitive and deepens, better depicts the stratum boundary and occurrence, and accurately describes the characteristics of the stratum structure beside the well, laying a model foundation for the subsequent study of the influence of the stratum, rock and fluid on the rock physics properties such as acoustic, electric and nuclear magnetic.

[0028] Example One

[0029] Figure 1 is a step diagram of the method for constructing a reservoir fine stratum framework model according to an embodiment of the present application. The steps of the method will be described below with reference to Figure 1 .

[0030] As shown in Figure 1 , in step S110, feature parameters of a plurality of sub-modules for simulating different stratification characteristics of the reservoir to be studied are determined according to the electrical imaging logging data of the reservoir to be studied. The present application constructs a reservoir fine stratum framework model based on the electrical imaging logging data of the reservoir to be studied and adopts the basic principles of multiple-point geostatistics. In the embodiment of the present application, the reservoir to be studied is divided according to stratification characteristics according to the electrical imaging logging data of the reservoir to be studied. Then, the logging data belonging to each stratification characteristic in the electrical imaging logging data of the reservoir to be studied is taken as the feature parameters of the plurality of sub-modules for simulating different stratification characteristics of the reservoir to be studied, so as to obtain a plurality of sub-modules consistent with the stratification characteristics of the actual reservoir to be studied. That is, the thickness and occurrence of each sub-module are consistent with the corresponding actual stratification in the reservoir to be studied.

[0031] After the characteristic parameters of the plurality of sub-modules for simulating different layering characteristics of the reservoir to be studied are determined, in step S120, the characteristic parameters of the plurality of sub-modules are used to respectively construct corresponding sub-models. In the embodiment of the present application, the characteristic parameters of the plurality of sub-modules are used to respectively construct each sub-model having the actual size and the actual tilt state of each layering in the reservoir to be studied.

[0032] Further, the characteristic parameters include a first characteristic parameter representing the actual layering size and a second characteristic parameter representing the actual layering tilt state, wherein in the step of using the characteristic parameters of the plurality of sub-modules to respectively construct corresponding sub-models, first, each sub-module is respectively constructed into a cuboid sub-model with a tilt angle of zero and a tilt azimuth angle of zero according to the first characteristic parameter, wherein the height of the sub-model is the actual thickness of the corresponding layering and the width of the sub-model is the logging radial detection depth of the corresponding layering; and then, each sub-model is rotated according to the second characteristic parameter, so that the tilt state of each sub-model in the horizontal direction is consistent with the actual tilt and the actual tilt angle of the corresponding layering.

[0033] Specifically, the embodiment identifies the stratum information from the electrical imaging logging data of the reservoir to be studied, and determines the stratum information (for example: the information of the starting depth, the ending depth, the tilt and the tilt angle of each layering) belonging to each layering in the reservoir to be studied, thereby determining the characteristic parameters of each sub-module. In actual application, each layering in the reservoir to be studied has a corresponding size and a corresponding tilt state. Therefore, the embodiment adopts two types of characteristic parameters including the first characteristic parameter representing the actual layering size and the second characteristic parameter representing the actual layering tilt state, so as to construct the corresponding sub-models consistent with the size and the tilt state of the actual layering.

[0034] In the step of using the characteristic parameters of the plurality of sub-modules to respectively construct corresponding sub-models, first, the size of each sub-module is determined by using the first characteristic parameter, and each sub-module is constructed according to the sub-module construction rule that the height of the sub-model is the actual thickness of the corresponding layering and the width of the sub-model is the logging radial detection depth of the corresponding layering. At this time, each constructed sub-module is a cuboid sub-model with a tilt angle of zero and a tilt azimuth angle of zero. After the plurality of cuboid sub-modules are constructed, the plurality of constructed cuboid sub-modules are respectively rotated according to the second characteristic parameter, so as to achieve the purpose that the tilt state of each sub-model in the horizontal direction is consistent with the actual tilt and the actual tilt angle of the corresponding layering. It can be seen that the present application realizes effective simulation of different layering characteristics of the reservoir to be studied.

[0035] In one specific embodiment of the present application, the formation information identified from the electrical imaging logging data of the reservoir to be studied includes formation thickness information and formation occurrence information. The characteristic parameters of the plurality of sub-modules are obtained according to the formation thickness information and the formation occurrence information in the electrical imaging logging data, wherein the formation thickness information includes the start depth and the end depth of different stratums; and the formation occurrence information includes the dip direction and the dip angle of different stratums.

[0036] Further, after the formation information including the formation thickness information and the formation occurrence information is identified from the electrical imaging logging data of the reservoir to be studied, the first characteristic parameter in the characteristic parameters is obtained according to the formation thickness information, and the second characteristic parameter in the characteristic parameters is obtained according to the formation occurrence information.

[0037] In the process of rotating each sub-model, a coordinate rotation method is used to rotate each sub-model, wherein the north direction is configured as the Y axis, the east direction is configured as the X axis, and the direction perpendicular to the ground is configured as the Z axis. Figure 2 is a schematic diagram of the coordinate system configuration of the method for constructing the reservoir fine formation framework model according to an embodiment of the present application. As shown in Figure 2 , in the process of rotating each sub-model, the coordinate axis direction needs to be defined first, that is, the north direction is configured as the Y axis, the east direction is configured as the X axis, and the direction perpendicular to the ground is configured as the Z axis. After the coordinate system is configured, a coordinate rotation method is used to rotate each sub-model.

[0038] Further, in the process of rotating each sub-model, each sub-model is first rotated around the X axis on the section to obtain the dip angle consistent with the corresponding stratum, and then each sub-model after rotation is rotated around the Z axis on the profile to obtain the dip direction consistent with the corresponding stratum. Specifically, the reservoir fine formation framework model constructed by the present embodiment is a cuboid model with a certain thickness, width, dip direction and dip angle, and the profile perpendicular to the depth is a square. Therefore, after a plurality of cuboid sub-models are constructed, the present embodiment realizes the simulation of the actual dip angle and the actual dip direction consistent with the corresponding stratum through coordinate translation, scaling and rotation. Figure 3 is one example diagram of the formation dip angle and dip direction of the method for constructing the reservoir fine formation framework model according to an embodiment of the present application. Referring to Figure 3In the embodiment of the present application, the initial dip angle and tendency of each cuboid sub-model obtained by construction are both zero, and each cuboid sub-model is rotated on the cutting plane around the X axis to the dip angle consistent with the corresponding bedding, so as to realize the simulation of the actual dip angle. After the simulation of the actual dip angle is completed, each rotated cuboid sub-model is rotated on the section plane around the Z axis to the tendency consistent with the corresponding bedding, so as to realize the simulation of the actual tendency. The section plane is a plane perpendicular to the Z axis, and the cutting plane is a plane parallel to the Z axis.

[0039] Further, in step S130, each sub-model is depth-positioned according to the stratigraphic depth of the simulated bedding characteristics of each sub-model, so as to form a fine stratigraphic framework model of the current reservoir to be studied. In the embodiment of the present application, each sub-model is placed into the corresponding depth range of the layer section according to the stratigraphic depth of the simulated bedding characteristics of each sub-model, and each sub-model is further depth-positioned to a specific depth position according to the actual depth, and each sub-model positioned to the specific depth position is integrated, and the integration result of each sub-model is superimposed, so as to form a fine stratigraphic framework model of the current reservoir to be studied as shown in FIG. 6. Figure 6 Figure 6 is an example diagram of a fine stratigraphic framework model of a reservoir for the method for constructing a fine stratigraphic framework model of a reservoir in the embodiment of the present application.

[0040] In the step of depth-positioning each sub-model, a square section plane and a rectangular cutting plane are specified in each rotated sub-model, and each rotated sub-model is obtained by combining the square section plane and the rectangular cutting plane as sides and the starting depth of different beddings.

[0041] Specifically, a square section plane and a rectangular cutting plane are specified in each rotated sub-model, and each sub-model is determined to correspond to the depth range of the layer section by combining the square section plane and the rectangular cutting plane as sides and the starting depth of different beddings. Then, each sub-model is depth-positioned to a specific depth position according to the actual depth, so as to obtain each positioned sub-model for constituting a fine stratigraphic framework model of the current reservoir to be studied as shown in FIG. 5. Figure 4 Figure 4 is an example diagram of sub-model positioning for the method for constructing a fine stratigraphic framework model of a reservoir in the embodiment of the present application. At this time, each positioned sub-model for constituting a fine stratigraphic framework model of the current reservoir to be studied is sequentially arranged from top to bottom according to the starting depth and thickness, and integrated, so as to obtain the integration result of the sub-models as shown in FIG. 6. Figure 5 Figure 5 ​​​is an example diagram of sub-model integration of the method for constructing a fine reservoir stratigraphic framework model according to an embodiment of the present application. In one specific embodiment of the present application, the length of the square section is twice the logging radial detection depth of the corresponding stratification, and the height of the rectangular section is the actual thickness of the corresponding stratification.

[0042] Example Two

[0043] Based on the method for constructing a fine reservoir stratigraphic framework model according to the above embodiment one, the present application further provides a system for constructing a fine reservoir stratigraphic framework model. Figure 7 is a module block diagram of the system for constructing a fine reservoir stratigraphic framework model according to an embodiment of the present application.

[0044] As shown in Figure 7 the system for constructing a fine reservoir stratigraphic framework model according to an embodiment of the present application includes a characteristic parameter generation module 71, a sub-model construction module 72, and a framework model construction module 73. The characteristic parameter generation module 71 is implemented according to the method described in the above step S110, and is configured to determine the characteristic parameters of a plurality of sub-models for simulating different stratification characteristics of the reservoir to be studied, respectively, based on the electrical imaging logging data of the reservoir to be studied. The sub-model construction module 72 is implemented according to the method described in the above step S120, and is configured to construct the corresponding sub-models respectively by using the characteristic parameters of the plurality of sub-models. The framework model construction module 73 is implemented according to the method described in the above step S130, and is configured to perform depth homing on each sub-model according to the stratigraphic depth of the stratification characteristic simulated by each sub-model, thereby forming a fine stratigraphic framework model of the current reservoir to be studied.

[0045] In the embodiment of the present application, the characteristic parameters include a first characteristic parameter representing the actual stratification size and a second characteristic parameter representing the actual stratification inclination state, wherein the sub-model construction module 72 further includes a sub-model shape generation unit 721 and a sub-model posture adjustment unit 722. The sub-model shape generation unit 721 is used to construct each sub-model as a cuboid sub-model with a zero inclination angle and a zero inclination azimuth according to the first characteristic parameter, wherein the height of the sub-model is the actual thickness of the corresponding stratification, and the width of the sub-model is the logging radial detection depth of the corresponding stratification. The sub-model posture adjustment unit 722 is used to rotate each sub-model according to the second characteristic parameter, so that the inclination state of each sub-model in the horizontal direction is consistent with the actual inclination and the actual inclination angle of the corresponding stratification.

[0046] Further, in the process of constructing the corresponding sub-models by the sub-model construction module 72, the sub-model posture adjustment unit 722 is further used to rotate each sub-model in a coordinate rotation manner, wherein the north direction is configured as the Y axis, the east direction is configured as the X axis, and the direction perpendicular to the ground is configured as the Z axis.

[0047] The application discloses a method and system for constructing a reservoir fine stratigraphic framework model.

[0048] The above merely provides the preferred embodiments of the application, but the protection scope of the application is not limited thereto, and any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the application, which should be covered in the protection scope of the application. Therefore, the protection scope of the application should be subject to the protection scope of the claims.

[0049] Of course, the application can have other various embodiments, and those skilled in the art can make various corresponding changes and modifications according to the application without departing from the spirit and essence of the application, but these corresponding changes and modifications should be within the protection scope of the claims of the application.

[0050] Those skilled in the art should understand that the above-mentioned modules or steps of the application can be realized by a general computing device, which can be concentrated on a single computing device or distributed on a network composed of multiple computing devices, and optionally, they can be realized by program codes executable by the computing device, so that they can be stored in a storage device and executed by the computing device, or they can be respectively manufactured into individual integrated circuit modules, or multiple modules or steps among them can be manufactured into a single integrated circuit module to realize. Thus, the application is not limited to any specific combination of hardware and software.

[0051] Although the embodiments of the application are disclosed above, the content described is only for the purpose of facilitating the understanding of the application and is not intended to limit the application. Any person skilled in the art can make any modification and change in the implementation form and details without departing from the spirit and scope of the application, but the patent protection scope of the application should be subject to the range defined by the attached claims.

Claims

1. A method for constructing a fine stratigraphic framework model of a reservoir, characterized in that: include: Determining characteristic parameters of a plurality of submodules for simulating different bedding characteristics of the reservoir to be studied, based on electrical imaging logging data of the reservoir to be studied; The characteristic parameters of multiple submodules are used to construct corresponding submodels respectively, wherein the characteristic parameters include a first characteristic parameter characterizing the actual bedding size and a second characteristic parameter characterizing the actual bedding inclination state, wherein, according to the first characteristic parameter, each submodule is constructed as a rectangular submodel with a dip angle of zero and a dip azimuth of zero, wherein the height of the submodel is the actual thickness of the corresponding bedding, and the width is the logging radial detection depth of the corresponding bedding, and according to the second characteristic parameter, each submodel is rotated by a coordinate rotation method, wherein the north direction is configured as the right angle of the bedding. Assign the Y axis, the east direction as the X axis, and the direction perpendicular to the ground as the Z axis, first rotate each sub-model around the X axis on the section plane to obtain a dip angle consistent with the corresponding bedding, and then rotate each currently rotated sub-model around the Z axis on the section plane to obtain a dip consistent with the corresponding bedding, wherein the section plane is a plane perpendicular to the Z axis, and the section plane is a plane parallel to the Z axis, thereby rotating each sub-model so that the tilt state of each sub-model in the horizontal direction is consistent with the actual dip and actual dip angle of the corresponding bedding; According to the stratigraphic depth of the bedding characteristics simulated by each sub-model, each sub-model is depth-relocated to form a fine stratigraphic framework model of the current reservoir to be studied, wherein a square section and a rectangular section are specified in each rotated sub-model, and the square section and the rectangular section are used as sides, combined with the starting depths of different beddings, to obtain the various relocated sub-models used to constitute the fine stratigraphic framework model of the current reservoir to be studied, wherein the side length of the square section is twice the radial logging detection depth of the corresponding bedding, and the width of the rectangular section is the actual thickness of the corresponding bedding.

2. The method according to claim 1, characterized in that The characteristic parameters of the multiple submodules are obtained according to the formation thickness information and formation occurrence information in the electrical imaging logging data, wherein: The stratum thickness information includes the starting depth and ending depth of different beddings; and The formation occurrence information includes the dip and inclination of different strata.

3. The method according to claim 2, characterized in that A first characteristic parameter among the characteristic parameters is obtained according to the formation thickness information; and The second characteristic parameter among the characteristic parameters is obtained according to the formation occurrence information.

4. A system for constructing a fine stratigraphic framework model of a reservoir, characterized in that: The system includes the following modules: A characteristic parameter generation module, which is used to determine characteristic parameters of multiple submodules for simulating different bedding characteristics of the reservoir to be studied based on the electrical imaging logging data of the reservoir to be studied; A sub-model construction module is used to construct corresponding sub-models respectively using characteristic parameters of multiple sub-modules, wherein the characteristic parameters include a first characteristic parameter representing the actual bedding size and a second characteristic parameter representing the actual bedding inclination state, wherein the sub-model construction module further includes: a submodel morphology generating unit, configured to construct each submodule into a rectangular parallelepiped submodel with a zero dip angle and a zero dip azimuth according to the first characteristic parameter, wherein the height of the submodel is the actual thickness of the corresponding bedding, and the width is the well logging radial detection depth of the corresponding bedding; a submodel attitude adjustment unit, configured to rotate each submodel according to the second characteristic parameter so that the tilt state of each submodel in the horizontal direction is consistent with the actual inclination and actual dip angle of the corresponding bedding, and to rotate each submodel using a coordinate rotation method, wherein the north direction is configured as the Y axis, the east direction is configured as the X axis, and the direction perpendicular to the ground is configured as the Z axis; The grid model construction module is used to perform depth relocation of each sub-model according to the stratigraphic depth of the bedding characteristics simulated by each sub-model, thereby forming a fine stratigraphic grid model of the reservoir to be studied.

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