Method and system for constructing reservoir fine stratigraphic framework model

Abstract

The invention discloses a method and system for constructing a reservoir fine stratigraphic framework model, and the method comprises the steps: respectively determining the feature parameters of a plurality of sub-modules for simulating different bedding features of a to-be-researched reservoir according to the electrical imaging logging information of the to-be-researched reservoir; respectively constructing corresponding sub-models by utilizing the characteristic parameters of the plurality of sub-modules; and performing depth homing on each sub-model according to the stratigraphic depth of the stratigraphic characteristics simulated by each sub-model so as to form a fine stratigraphic framework model of the current reservoir to be researched. According to the reservoir fine stratigraphic framework model constructed by the method, stratigraphic research work becomes more visual and deepened, stratigraphic boundaries and occurrence are depicted better, characteristics of a well-side stratigraphic structure are described accurately, and a model foundation is laid for subsequent research on influences of stratigraphic, rock, fluid and other factors on sound, electricity, nuclear magnetism and other rock physical attributes.

Description

Technical Field

[0001] The invention belongs to the technical field of petroleum geological exploration and development, and in particular relates to a method and a system for constructing a fine stratum framework model of a reservoir. Background Art

[0002] With the rapid development of my country's economy and the increasing demand for oil and gas resources, various types of complex oil and gas reservoirs such as unconventional have become an important direction for exploration and development. In view of the serious heterogeneity, complex rock mineral composition, diversified reservoir space and low porosity and permeability of the reservoirs where complex oil and gas reservoirs are located, the uniform formation model constructed based on traditional zoning cannot accurately characterize the stratigraphic characteristics of complex reservoirs and unconventional reservoirs. If the uniform formation model is used for logging interpretation and evaluation, it will lead to problems such as insufficient understanding of the rock physical response mechanism of the formation. Therefore, it is necessary to establish a fine stratigraphic model within the logging detection scale to characterize unconventional reservoirs and complex reservoirs, so as to lay a model foundation for subsequent research on the influence of formations, rocks and fluids on rock physical properties such as acoustics, electricity, and nuclear magnetics. Summary of the invention

[0003] In order to solve the above problems, an embodiment of the present invention provides a method for constructing a fine stratigraphic framework model of a reservoir, comprising: determining characteristic parameters of multiple sub-modules for simulating different bedding characteristics of the reservoir to be studied according to the electrical imaging logging data of the reservoir to be studied; constructing corresponding sub-models respectively using the characteristic parameters of the multiple sub-modules; and performing depth resetting 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.

[0004] Preferably, the characteristic parameters include a first characteristic parameter characterizing the actual bedding size and a second characteristic parameter characterizing the actual inclination state of the bedding, wherein the steps of constructing corresponding sub-models respectively using the characteristic parameters of multiple sub-modules include: according to the first characteristic parameter, constructing each sub-module as a rectangular sub-model with a dip angle of zero and a dip azimuth of zero, wherein the height of the sub-model is the actual thickness of the corresponding bedding, and the width is the radial detection depth of the corresponding bedding; and according to the second characteristic parameter, rotating each sub-model so that the inclination state of each sub-model in the horizontal direction is consistent with the actual dip and actual dip angle of the corresponding bedding.

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

[0006] Preferably, the process of rotating each sub-model also includes: first rotating each sub-model around the X-axis on the cutting plane to obtain a dip angle consistent with the corresponding bedding, and then rotating 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 cutting plane is a plane parallel to the Z-axis.

[0007] Preferably, the step of depth-resetting 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 relocated sub-model for constituting a 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.

[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 according to the formation thickness information; and a second characteristic parameter among the characteristic parameters is obtained according to 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 according to the electrical imaging logging data of the reservoir to be studied; a sub-model construction module, which is used to use the characteristic parameters of multiple sub-modules to respectively construct corresponding sub-models; 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 characterizing the actual bedding size and a second characteristic parameter characterizing the actual inclination state of the bedding, wherein the sub-model construction module also includes: a sub-model morphology generation unit, which is used to construct each sub-module into a rectangular 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 bedding, and the width is the radial detection depth of the corresponding bedding; a sub-model attitude adjustment unit, which 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 dip and actual dip angle of the corresponding bedding.

[0012] Preferably, the sub-model posture adjustment unit is further used to rotate each sub-model by using a coordinate rotation method, wherein the due north direction is configured as the Y axis, the due 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 may have the following advantages or beneficial effects:

[0014] The present invention proposes a method and system for constructing a fine stratigraphic framework model of a reservoir. The method first obtains characteristic parameters for simulating different bedding characteristics of the reservoir to be studied based on the electrical imaging logging data of the reservoir to be studied; then, a sub-model for simulating each bedding characteristic is constructed using the characteristic parameters of each bedding characteristic; finally, according to the actual well depth corresponding to each sub-model, a fine stratigraphic framework model of the current reservoir to be studied is formed using the sub-model of each bedding characteristic. The fine stratigraphic framework model of the reservoir constructed by the present invention makes stratigraphic research work more intuitive and in-depth, better depicts stratigraphic boundaries and occurrences, accurately describes the characteristics of the stratigraphic structure beside the well, and lays a model foundation for subsequent research on the influence of factors such as stratigraphy, rock and fluid on rock physical properties such as acoustics, electricity, and nuclear magnetics.

[0015] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

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

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

[0019] Figure 3 It is an example diagram of the formation dip and inclination of the method for constructing a fine stratigraphic framework model of a reservoir in an embodiment of the present application.

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

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

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

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

[0024] The following will describe the implementation methods of the present invention in detail with reference to the accompanying drawings and embodiments, so that the implementation process of how the present invention applies technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly. It should be noted that as long as there is no conflict, the various embodiments of the present invention and the various features in the embodiments can be combined with each other, and the technical solutions formed are all within the protection scope of the present invention.

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

[0026] With the rapid development of my country's economy and the increasing demand for oil and gas resources, various types of complex oil and gas reservoirs such as unconventional have become an important direction for exploration and development. In view of the serious heterogeneity, complex rock mineral composition, diversified reservoir space and low porosity and permeability of the reservoirs where complex oil and gas reservoirs are located, the uniform formation model constructed based on traditional zoning cannot accurately characterize the stratigraphic characteristics of complex reservoirs and unconventional reservoirs. If the uniform formation model is used for logging interpretation and evaluation, it will lead to problems such as insufficient understanding of the rock physical response mechanism of the formation. Therefore, it is necessary to establish a fine stratigraphic model within the logging detection scale to characterize unconventional reservoirs and complex reservoirs, so as to lay a model foundation for subsequent research on the influence of formations, rocks and fluids on rock physical properties such as acoustics, electricity, and nuclear magnetics.

[0027] Therefore, in order to solve the above problems, the present invention proposes a method and system for constructing a fine stratigraphic framework model of a reservoir. The method first obtains characteristic parameters for simulating different bedding characteristics of the reservoir to be studied based on the electrical imaging logging data of the reservoir to be studied; then, a sub-model for simulating each bedding characteristic is constructed using the characteristic parameters of each bedding characteristic; finally, according to the actual well depth corresponding to each sub-model, a fine stratigraphic framework model of the current reservoir to be studied is formed using the sub-model of each bedding characteristic. The fine stratigraphic framework model of the reservoir constructed by the present invention makes stratigraphic research more intuitive and in-depth, better depicts stratigraphic boundaries and occurrences, accurately describes the characteristics of the stratigraphic structure beside the well, and lays a model foundation for subsequent research on the influence of factors such as strata, rocks and fluids on rock physical properties such as acoustics, electricity, and nuclear magnetics.

[0028] Embodiment 1

[0029] Figure 1 This is a step diagram of the method for constructing a reservoir fine stratigraphic framework model according to an embodiment of the present application. Figure 1 To illustrate the various steps of this method.

[0030] like Figure 1 As shown, in step S110, characteristic parameters of multiple submodules for simulating different bedding characteristics of the reservoir to be studied are determined respectively according to the electrical imaging logging data of the reservoir to be studied. The present invention is based on the electrical imaging logging data of the reservoir to be studied and adopts the basic principles of multi-point geostatistics to construct a fine stratigraphic framework model of the reservoir. In an embodiment of the present application, the reservoir to be studied is divided according to the bedding characteristics according to the electrical imaging logging data of the reservoir to be studied. Then, the logging data belonging to each bedding characteristic in the electrical imaging logging data of the reservoir to be studied is used as the characteristic parameters of multiple submodules for simulating different bedding characteristics of the reservoir to be studied, so as to obtain multiple submodules consistent with the actual bedding characteristics of the reservoir to be studied. In other words, the thickness and occurrence of each submodule are consistent with the corresponding actual bedding in the reservoir to be studied.

[0031] After determining the characteristic parameters of the multiple submodules for simulating different bedding characteristics of the reservoir to be studied, in step S120, the characteristic parameters of the multiple submodules are used to construct corresponding submodels. In the embodiment of the present application, the characteristic parameters of the multiple submodules are used to construct each submodel having an actual size and an actual tilt state consistent with each bedding in the reservoir to be studied.

[0032] Furthermore, the characteristic parameters include a first characteristic parameter characterizing the actual bedding size and a second characteristic parameter characterizing the actual inclination state of the bedding, wherein in the step of constructing corresponding sub-models respectively using the characteristic parameters of multiple sub-modules, each sub-module is first constructed as a rectangular 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 bedding, and the width is the radial detection depth of the corresponding bedding; then, each sub-model is rotated according to the second characteristic parameter so that the inclination state of each sub-model in the horizontal direction is consistent with the actual dip and actual dip angle of the corresponding bedding.

[0033] Specifically, this embodiment identifies the stratigraphic information from the electrical imaging logging data of the reservoir to be studied, and determines the stratigraphic information belonging to each bedding in the reservoir to be studied (for example: the starting depth, ending depth, inclination and dip angle information of each bedding), thereby determining the characteristic parameters of each submodule. In practical applications, each bedding in the reservoir to be studied has a corresponding size and a corresponding inclination state. Therefore, this embodiment adopts two types of characteristic parameters including a first characteristic parameter characterizing the actual bedding size and a second characteristic parameter characterizing the actual bedding inclination state, so that a corresponding sub-model consistent with the size and inclination state of the actual bedding can be constructed.

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

[0035] In a 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 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 the ending depth of different beddings; and the formation occurrence information includes the inclination and dip angle of different beddings.

[0036] Further, after identifying formation information including formation thickness information and formation occurrence information from the electrical imaging logging data of the reservoir to be studied, the 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.

[0037] In the process of rotating each sub-model, each sub-model is rotated by using a coordinate rotation method, wherein the due north direction is configured as the Y axis, the due east direction is configured as the X axis, and the direction perpendicular to the ground is configured as the Z axis. Figure 2 Schematic diagram of the coordinate system configuration of the method for constructing a fine reservoir stratigraphic framework model according to an embodiment of the present application. Figure 2 As shown, in the process of rotating each sub-model in this embodiment, 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, each sub-model is rotated using the coordinate rotation method.

[0038] Furthermore, in the process of rotating each sub-model, each sub-model is first rotated around the X-axis on the section to obtain a dip angle consistent with the corresponding bedding, and then each sub-model that has been currently rotated is rotated around the Z-axis on the section to obtain a dip consistent with the corresponding bedding. Specifically, the reservoir fine stratigraphic framework model constructed in this embodiment is a rectangular parallelepiped model with a certain thickness, width, dip and dip angle and a square cross section perpendicular to the depth. Therefore, after constructing a plurality of rectangular parallelepiped sub-models, this embodiment realizes the simulation of the actual dip angle and actual dip consistent with the corresponding bedding through coordinate translation, scaling, and rotation. Figure 3 is an example diagram of the formation dip and inclination of the method for constructing a fine reservoir stratigraphic framework model in an embodiment of the present application. Figure 3In the embodiment of the present application, the initial dip and inclination of each rectangular sub-model constructed are both zero. Each rectangular sub-model is rotated around the X-axis on the section to a dip that is consistent with the corresponding bedding, so as to simulate the actual dip. After completing the simulation of the actual dip, each currently rotated rectangular sub-model is rotated around the Z-axis on the section to a dip that is consistent with the corresponding bedding, so as to simulate the actual inclination. The section is a plane perpendicular to the Z-axis, and the section is a plane parallel to the Z-axis.

[0039] Further, in step S130, each sub-model is depth-relocated 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. In the embodiment of the present application, each sub-model is placed in the corresponding layer depth range according to the stratigraphic depth of the bedding characteristics simulated by each sub-model, and each sub-model is further adjusted and relocated to a specific depth position according to the actual depth, and each sub-model relocated to a specific depth position is integrated, and by superimposing the integrated results of each sub-model, a fine stratigraphic framework model can be formed as shown in the following figure. Figure 6 The detailed stratigraphic framework model of the reservoir to be studied is shown in Figure 2. Figure 6 is an example diagram of a reservoir fine stratigraphic framework model of the method for constructing a reservoir fine stratigraphic framework model in an embodiment of the present application).

[0040] In the step of depth repositioning each sub-model, square sections and rectangular sections are specified in each rotated sub-model, and the square sections and rectangular sections are used as sides, combined with the starting depths of different beddings, to obtain the repositioned sub-models used to constitute the fine stratigraphic framework model of the current reservoir to be studied.

[0041] Specifically, square sections and rectangular sections are specified in each rotated sub-model, and the depth range of the layer corresponding to each sub-model is determined by taking the square sections and rectangular sections as the sides and combining the starting depths of different layers. After that, each sub-model is adjusted and returned to the specific depth position according to the actual depth, and the following is obtained: Figure 4 The various reset sub-models ( Figure 4 is an example diagram of the sub-model relocation of the method for constructing a fine stratigraphic framework model of a reservoir in an embodiment of the present application). At this time, the relocated sub-models used to constitute the fine stratigraphic framework model of the current reservoir to be studied are arranged from top to bottom in sequence according to the starting depth and thickness, and the following is obtained: Figure 5 The sub-model integration results shown are ( Figure 51 is an example diagram of sub-model integration of the method for constructing a fine stratigraphic framework model of a reservoir in an embodiment of the present application). In a specific embodiment of the present application, the side length of the square section is twice the logging radial detection depth of the corresponding bedding, and the height of the rectangular section is the actual thickness of the corresponding bedding.

[0042] Embodiment 2

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

[0044] like Figure 7 As shown, the system for constructing a fine stratigraphic framework model of a reservoir in an embodiment of the present invention 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 step S110 above, and is configured to determine the characteristic parameters of multiple sub-modules used to simulate different bedding characteristics of the reservoir to be studied according to 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 step S120 above, and is configured to use the characteristic parameters of multiple sub-modules to respectively construct corresponding sub-models; the framework model construction module 73 is implemented according to the method described in step S130 above, and is configured to perform depth homing on 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.

[0045] In the embodiment of the present application, 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 the sub-model construction module 72 also includes a sub-model morphology generation unit 721 and a sub-model attitude adjustment unit 722. The sub-model morphology generation unit 721 is used to construct each sub-module as a rectangular sub-model with a zero inclination angle and a zero dip azimuth according to the first characteristic parameter, wherein the height of the sub-model is the actual thickness of the corresponding bedding, and the width is the logging radial detection depth of the corresponding bedding. The sub-model attitude 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 dip and actual dip of the corresponding bedding.

[0046] Furthermore, in the process of the sub-model construction module 72 constructing the corresponding sub-model, the sub-model posture adjustment unit 722 is also used to rotate each sub-model 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.

[0047] The present invention discloses a method and system for constructing a fine stratigraphic framework model of a reservoir. The method first obtains characteristic parameters for simulating different bedding characteristics of the reservoir to be studied based on the electrical imaging logging data of the reservoir to be studied; then, a sub-model for simulating each bedding characteristic is constructed using the characteristic parameters of each bedding characteristic; finally, according to the actual well depth corresponding to each sub-model, a fine stratigraphic framework model of the current reservoir to be studied is formed using the sub-model of each bedding characteristic. The fine stratigraphic framework model of the reservoir constructed by the present invention makes the stratigraphic research work more intuitive and in-depth, better depicts the stratigraphic boundaries and occurrence, accurately describes the characteristics of the stratigraphic structure beside the well, and lays a foundation for the subsequent construction of a fine stratigraphic model and a three-dimensional digital wellbore, simulation of wellbore environmental conditions, realization of high-precision continuous rock physical property characterization at the logging scale around the wellbore, and a series of numerical simulation studies such as reservoir conductivity mechanism and seepage characteristics, and has high promotion value and social benefits.

[0048] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any person familiar with the technology within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0049] Of course, the present invention may have many other embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art may make various corresponding changes and modifications based on the present invention, but these corresponding changes and modifications should all fall within the scope of protection of the claims of the present invention.

[0050] It should be understood by those skilled in the art that the modules or steps of the present invention described above can be implemented by a general-purpose computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0051] Although the embodiments disclosed in the present invention are as above, the above contents are only embodiments adopted for facilitating the understanding of the present invention and are not intended to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present invention, but the patent protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A method for constructing a fine stratigraphic framework model of a reservoir, characterized in that: include: According to the electrical imaging logging data of the reservoir to be studied, characteristic parameters of a plurality of submodules for simulating different bedding characteristics of the reservoir to be studied are determined respectively; Using the characteristic parameters of multiple sub-modules, corresponding sub-models are constructed respectively; According to the stratigraphic depth of the bedding characteristics simulated by each sub-model, each sub-model is depth-reset, thereby forming a fine stratigraphic framework model of the reservoir to be studied.

2. The method according to claim 1, characterized in that: 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 the steps of using the characteristic parameters of multiple submodules to construct corresponding submodels respectively include: 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 radial detection depth of the corresponding bedding; and According to the second characteristic parameter, each sub-model is rotated so that the inclination state of each sub-model in the horizontal direction is consistent with the actual inclination and actual dip angle of the corresponding bedding.

3. The method according to claim 2, characterized in that The process of rotating each sub-model includes: Each sub-model is rotated by using a coordinate rotation method, wherein the due north direction is configured as the Y axis, the due east direction is configured as the X axis, and the direction perpendicular to the ground is configured as the Z axis.

4. The method according to claim 3, characterized in that The process of rotating each sub-model also includes: First, each sub-model is rotated around the X-axis on the cutting plane to obtain a dip angle consistent with the corresponding bedding, and then each currently rotated sub-model is rotated 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 cutting plane is a plane parallel to the Z-axis.

5. The method according to claim 4, characterized in that The steps of performing depth homeostasis on each sub-model include: In each rotated sub-model, a square section and a rectangular section are specified, and the square section and the rectangular section are used as sides, combined with the starting depths of different beddings, to obtain various repositioned sub-models for constituting a 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.

6. The method according to any one of claims 1 to 5, 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 strata; and The formation occurrence information includes the dip and inclination of different strata.

7. The method according to claim 6, 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.

8. 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 according to the electrical imaging logging data of the reservoir to be studied; A sub-model construction module, which is used to use the characteristic parameters of multiple sub-modules to construct corresponding sub-models respectively; The grid model building 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 current reservoir to be studied.

9. The system according to claim 8, characterized in that 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 the sub-model construction module further includes: A sub-model morphology generating unit, which is used to construct each sub-module into a rectangular 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 bedding, and the width is the radial detection depth of the well logging of the corresponding bedding; The sub-model attitude adjustment unit 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 actual dip angle of the corresponding bedding.

10. The system according to claim 9, characterized in that The sub-model posture adjustment unit is also used to rotate each sub-model by using a coordinate rotation method, wherein the due north direction is configured as the Y axis, the due east direction is configured as the X axis, and the direction perpendicular to the ground is configured as the Z axis.

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