Establishment method and device of breaking joint body model, equipment and medium

Abstract

The invention belongs to the technical field of oil and gas field development, and particularly relates to a method, device and equipment for establishing a breaking joint body model and a medium. The method comprises the following steps: acquiring geological data, logging data, analysis test data and seismic data of a target area; according to the geological data, the logging data, the analysis and test data and the seismic data, a cause mechanism analysis result and an internal structure feature analysis result of each breaking joint body are obtained; according to the seismic data, establishing a spatial distribution contour model of a target type of breaking joint body; and determining an attribute parameter model of the target type of breaking joint body according to the spatial distribution model of the target type of breaking joint body, the cause mechanism analysis result and the internal structure feature analysis result. According to the method, the fine breaking joint body model which better conforms to the underground actual condition is established, so that the development practice of oil and gas reservoirs can be better supported.

Description

Technical Field

[0001] The invention belongs to the technical field of oil and gas field development, and specifically relates to a method, device, equipment and medium for establishing a fracture body model. Background Art

[0002] A fault body refers to an irregularly distributed geological body or geological unit with a certain scale and good porosity and permeability formed by the combination of cracks and rock pores related to folds and faults (Wang Wei et al., 2019). Some scholars also believe that a fault body refers to a reservoir composed of faults, associated brittle fracture zones and dense low-permeability sandstones transformed by them, and its upper and side parts are blocked by non-permeable mudstones, dense layers, etc. (He Faqi et al., 2020).

[0003] At present, there are few publicly published articles on the field of "fault bodies", and scholars have not yet formed a unified statement on the concept of "fault bodies". Overall, the systematic theory, technology and application research on "fault bodies" are still in the initial and development stages. However, through the summary of the published results, its connotation is mainly concentrated in three aspects: first, the development background of "fault bodies" is mainly dense rock formations; second, inside the "fault bodies", faults and medium- and high-angle fractures related to faults are relatively developed; third, the porosity and permeability inside the "fault bodies" are good, which is a favorable location for oil and gas accumulation in dense sandstone reservoirs (Liu Zhenfeng et al., 2021).

[0004] At present, scholars have carried out some research on the geological description and fine characterization of "fault bodies", mainly using drilling, logging, well logging and geophysical data to carry out fine identification and interpretation of large-scale faults, and to carry out fracture type identification, parameter description and main controlling factor research on fault-related fractures, and establish fracture development models; in terms of geophysics, most scholars regard "fault bodies" as overall structural units and their geophysical response characteristics relative to the background surrounding rocks, and optimize coherence attributes, chaotic attributes (structural entropy), maximum likelihood attributes, curvature attributes, morphological index attributes, etc., as well as pre-stack azimuth anisotropy quantitative prediction technology to predict the spatial distribution of "fault bodies"; in terms of geological modeling of "fault bodies", mainly based on the identification and division of the internal structure of the fault fracture zone, the zoning modeling idea is adopted, and the fracture density attribute spatial constraint body is established through the correlation between the fracture development degree and the fault distance, and the fracture occurrence attribute spatial constraint body is established through the correlation between the fracture strike, dip and fault occurrence, and the fault occurrence attribute spatial constraint body is established, and the fault body model is comprehensively established.

[0005] It is not difficult to see that the above achievements are mostly concentrated in the fields of fault body description and spatial distribution prediction, and there are few achievements in three-dimensional geological modeling of fault bodies. It is urgent to propose a systematic method for fine three-dimensional geological modeling of fault bodies to achieve fine characterization of fault bodies and their internal structures, so as to support the efficient exploration and development of such oil and gas reservoirs. Summary of the invention

[0006] In view of the above technical problems, the present invention proposes a method, device, equipment and medium for establishing a fault body model. The present application obtains geological data, logging data, analysis and testing data and seismic data of the target area; analyzes the genetic mechanism and internal structural characteristics of each fault body in the target area according to the geological data, logging data, analysis and testing data and seismic data, and obtains the genetic mechanism analysis results and internal structural characteristics analysis results of each fault body; classifies the fault bodies in the target area according to the genetic mechanism analysis results and internal structural characteristics analysis results of each fault body, wherein the fault bodies with the same genetic mechanism analysis results and internal structural characteristics analysis results are classified into the same type of fault bodies; establishes a spatial distribution contour model of the target type fault body according to the seismic data; establishes a spatial distribution model of the target type fault body according to the seismic data and the genetic mechanism analysis results, the internal structural characteristics analysis results and the spatial distribution contour model of the target type fault body; determines the attribute parameter model of the target type fault body according to the spatial distribution model of the target type fault body, the genetic mechanism analysis results and the internal structural characteristics analysis results. It has achieved the establishment of a detailed fault model that is more in line with the actual underground conditions, so that it can better support the development practice of oil and gas reservoirs.

[0007] To solve the above technical problems, the technical solution adopted by the present invention includes four aspects.

[0008] In a first aspect, a method for establishing a fault body model is provided, comprising: acquiring geological data, logging data, analysis and testing data, and seismic data of a target area; analyzing the genetic mechanism and internal structural characteristics of each fault body in the target area according to the geological data, logging data, analysis and testing data, and seismic data to obtain the genetic mechanism analysis results and internal structural characteristics analysis results of each fault body; classifying the fault bodies in the target area according to the genetic mechanism analysis results and the internal structural characteristics analysis results of each fault body, wherein fault bodies with the same genetic mechanism analysis results and internal structural characteristics analysis results are classified into the same type of fault bodies; establishing a spatial distribution contour model of the target type fault body according to the seismic data; establishing a spatial distribution model of the target type fault body according to the seismic data and the genetic mechanism analysis results, the internal structural characteristics analysis results, and the spatial distribution contour model of the target type fault body; determining the attribute parameter model of the target type fault body according to the spatial distribution model of the target type fault body, the genetic mechanism analysis results, and the internal structural characteristics analysis results.

[0009] In some embodiments, establishing a spatial distribution contour model of a target type of fracture body based on the seismic data includes: determining the seismic attributes of the target area based on the seismic data; determining the spatial distribution contour of all fracture bodies in the target area based on the seismic attributes; and fusing the spatial distribution contours corresponding to all fracture bodies in the target type of fracture body to obtain the spatial distribution contour model of the target type of fracture body.

[0010] In some embodiments, the spatial distribution model of the target type of fault body is established based on the seismic data and the results of the genetic mechanism analysis of the target type of fault body, the results of the internal structural characteristics analysis, and the spatial distribution contour model, including: establishing a three-dimensional fracture network model of each fault body based on the seismic data and the results of the genetic mechanism analysis of each fault body, the results of the internal structural characteristics analysis, and the spatial distribution contour; fusing the three-dimensional fracture network models of multiple fault bodies within the target type of fault body to obtain the spatial distribution model of the target type of fault body.

[0011] In some embodiments, the three-dimensional fracture network model includes: a three-dimensional distribution discrete model of small fractures and a three-dimensional distribution discrete model of large fractures; the three-dimensional fracture network model of each fracture body is established according to the seismic data and the genetic mechanism analysis results of each fracture body, the internal structural characteristic analysis results, and the spatial distribution contour, including: establishing a three-dimensional distribution discrete model of large fractures in the target fracture body according to the seismic data within the spatial distribution contour of the target fracture body, wherein the fractures that can be accurately identified by seismic data are defined as large-scale fractures; establishing a three-dimensional distribution discrete model of small fractures in the target fracture body according to the genetic mechanism analysis results and the internal structural characteristic analysis results of the target fracture body within the spatial distribution contour of the target fracture body, wherein the fractures that cannot be accurately identified by seismic data but can be accurately identified by drilling cores or imaging logging are defined as small-scale fractures.

[0012] In some embodiments, a three-dimensional distribution discrete model of small cracks in the target fracture body is established according to the genetic mechanism analysis results and the internal structure characteristic analysis results of the target fracture body within the spatial distribution contour of the target fracture body, including: determining the genetic type and parameter distribution characteristics of the small-scale fractures in the target fracture body according to the genetic mechanism analysis results and the internal structure characteristic analysis results of the target fracture body; determining a single-well fracture density curve of small-scale fractures along the wellbore according to the genetic type and the parameter distribution characteristics; determining a fracture density model of small-scale fractures according to a plurality of the single-well fracture density curves; obtaining the fracture occurrence characteristics and scale distribution characteristics of the small-scale fractures in the target fracture body; and establishing a three-dimensional distribution discrete model of small-scale fractures in the spatial distribution contour of the target fracture body according to the fracture density model of small-scale fractures, the fracture occurrence characteristics and the scale distribution characteristics.

[0013] In some embodiments, the attribute parameter model of the target type fracture body is determined according to the spatial distribution model of the target type fracture body, the causal mechanism analysis results and the internal structure characteristic analysis results, including: determining the opening parameter distribution of fractures of different scales in each fracture body according to the causal mechanism analysis results and the internal structure characteristic analysis results of each fracture body in the target type fracture body; establishing a fracture opening distribution model for each fracture body based on the corresponding three-dimensional fracture network model according to the causal type and the opening parameter distribution of each fracture body; establishing a porosity model and a permeability model of the fractures in each fracture body according to the fracture opening distribution model of each fracture body, that is, obtaining the attribute parameter model of the target type fracture body.

[0014] In some embodiments, a porosity model and a permeability model of the fractures in each fracture body are established according to the fracture aperture distribution model of each fracture body, including: establishing a preliminary porosity model and a preliminary permeability model of each fracture body according to the fracture aperture distribution model of each fracture body; obtaining well test interpretation data of the target area; determining the comprehensive reservoir porosity and permeability results of the target area according to the well test interpretation data; and correcting the preliminary porosity model and the preliminary permeability model of each fracture body according to the comprehensive reservoir porosity and the permeability results to obtain the final porosity model and permeability model of each fracture body.

[0015] In the second aspect, the present application proposes a device for establishing a fault body model, comprising: a first acquisition module, used to acquire geological data, logging data, analysis and testing data and seismic data of a target area; a first execution module, used to analyze the genetic mechanism and internal structural characteristics of each fault body in the target area according to the geological data, the logging data, the analysis and testing data and the seismic data, and obtain the genetic mechanism analysis results and internal structural characteristics analysis results of each fault body; a second execution module, used to classify the fault bodies in the target area according to the genetic mechanism analysis results and the internal structural characteristics analysis results of each fault body; a first establishment module, used to establish a spatial distribution contour model of a target type of fault body according to the seismic data; a second establishment module, used to establish a spatial distribution model of a target type of fault body according to the seismic data and the genetic mechanism analysis results, the internal structural characteristics analysis results and the spatial distribution contour model of the target type of fault body; a first determination module, used to determine the attribute parameter model of the target type of fault body according to the spatial distribution model of the target type of fault body, the genetic mechanism analysis results and the internal structural characteristics analysis results.

[0016] In a third aspect, the present application proposes an electronic device, comprising: a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method described in any one of the first aspects is performed.

[0017] In a fourth aspect, the present application provides a storage medium, which stores a computer program that can be executed by one or more processors, and the computer program can be used to implement the method described in any one of the first aspects.

[0018] Beneficial effects created by the present invention: The present application obtains geological data, logging data, analysis and testing data, and seismic data of a target area; analyzes the genetic mechanism and internal structural characteristics of each fault body in the target area according to the geological data, logging data, analysis and testing data, and seismic data to obtain the genetic mechanism analysis results and internal structural characteristic analysis results of each fault body; classifies the fault bodies in the target area according to the genetic mechanism analysis results and the internal structural characteristic analysis results of each fault body, wherein fault bodies with the same genetic mechanism analysis results and internal structural characteristic analysis results are classified into the same type of fault bodies; establishes a spatial distribution contour model of a target type of fault body according to the seismic data; establishes a spatial distribution model of a target type of fault body according to the seismic data and the genetic mechanism analysis results, the internal structural characteristic analysis results, and the spatial distribution contour model of the target type of fault body; determines an attribute parameter model of the target type of fault body according to the spatial distribution model of the target type of fault body, the genetic mechanism analysis results, and the internal structural characteristic analysis results. It has achieved the establishment of a detailed fault model that is more in line with the actual underground conditions, so that it can better support the development practice of oil and gas reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The scope of the present disclosure may be better understood by reading the following detailed description of exemplary embodiments in conjunction with the accompanying drawings. The drawings included are:

[0020] Figure 1 An overall flow chart of a method for establishing a fracture body model provided in an embodiment of the present application;

[0021] Figure 2 A structural block diagram of a device for establishing a fracture body model provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0023] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0024] If similar descriptions of "first\second\third" appear in the application documents, the following instructions will be added. In the following description, the terms "first\second\third" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second\third" can be interchanged in a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0025] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0026] Embodiment 1:

[0027] Existing technologies are mostly focused on the description of fracture bodies and prediction of spatial distribution, but there are few achievements in 3D geological modeling of fracture bodies. It is urgent to propose a systematic method for fine 3D geological modeling of fracture bodies to achieve fine characterization of fracture bodies and their internal structures, so as to support the efficient exploration and development of such oil and gas reservoirs.

[0028] In view of the problems existing in the prior art, such as Figure 1 As shown, the present application provides a method for establishing a fracture body model, and the method is applied to an electronic device, and the electronic device can be a server, a mobile terminal, a computer, a cloud platform, etc. The function implemented by the device data processing provided in the embodiment of the present application can be implemented by calling a program code by a processor of the electronic device, wherein the program code can be stored in a computer storage medium, and the method for establishing a fracture body model includes:

[0029] Step S1: Obtain geological data, well logging data, analytical test data and seismic data of the target area.

[0030] Fault bodies are mainly formed by stratum fractures caused by geological activities. A region will have fault bodies of different occurrences if it is subject to different geological activities at different times. Therefore, in order to establish a fault body model that conforms to the actual underground situation, it is necessary to obtain geological data and various analytical test data of the target area to understand the geological activities of the target area, and then understand the current state of the fault body in the target area through seismic data, well logging data and various analytical test data.

[0031] Step S2: Analyze the genetic mechanism and internal structural characteristics of each fault body in the target area according to the geological data, the logging data, the analytical test data and the seismic data to obtain the genetic mechanism analysis results and internal structural characteristics analysis results of each fault body.

[0032] After obtaining the existing data in step S1, it is necessary to process these data to obtain the relevant data required to establish the fault body model. According to the geological data, well logging data, seismic data and various analytical test data, the genetic mechanism analysis and internal structural characteristics analysis of each fault body in the target area are carried out, and finally the genetic mechanism analysis results and internal structural characteristics analysis results of each fault body are obtained. The genetic mechanism analysis is mainly to identify the genetic types of fractures and cracks inside the fault body. The internal structural characteristics analysis is mainly to count the parameters of the fault body and analyze the comprehensive control effect of the internal fault body and other geological factors on the cracks.

[0033] Step S3: classifying the fault bodies in the target area according to the genetic mechanism analysis results and the internal structural characteristics analysis results of each fault body, wherein fault bodies with the same genetic mechanism analysis results and internal structural characteristics analysis results are classified into the same type of fault bodies.

[0034] There are large differences between the fracture bodies formed in different periods, while the fracture bodies formed in the same period have the same cause mechanism and the same internal structural characteristics. Therefore, in order to better obtain the fracture body model, the fracture bodies are first classified in this application, and then the attribute parameter model of each type of fracture body is established.

[0035] Step S4: establishing a spatial distribution contour model of the target type fault body according to the seismic data.

[0036] Therefore, in the next step, we take the attribute parameter model of a certain type of fault body in the target area as an example to explain the method provided by this application. There are many seismic attributes contained in the seismic data. We can establish the spatial distribution profile of the target type of fault body based on the seismic attributes obtained from the seismic data. The spatial distribution profile expresses the overall morphological profile of the fault body.

[0037] In some embodiments, step S4 "establishing a spatial distribution contour model of a target type of fracture body according to the seismic data" includes:

[0038] Step S41: Determine the seismic attributes of the target area according to the seismic data.

[0039] Step S42: Determine the spatial distribution outline of all fault bodies in the target area according to the seismic attributes.

[0040] Step S43: Fusing the spatial distribution contours corresponding to all fracture bodies in the target type fracture body to obtain the spatial distribution contour model of the target type fracture body.

[0041] The seismic attributes of the target area are extracted from the seismic data, including chaos attributes (structural entropy), maximum likelihood attributes, curvature attributes, and morphological index attributes. Through these seismic attributes, we can determine the spatial distribution profile of each fault body in the target area. Then, by merging the spatial distribution profiles of the same type of fault bodies, we can obtain the spatial distribution profile model of the target type of fault body.

[0042] Step S5: establishing a spatial distribution model of the target type of fault body according to the seismic data, the genetic mechanism analysis results of the target type of fault body, the internal structure characteristics analysis results, and the spatial distribution contour model.

[0043] The main purpose of this application is to establish a refined fracture model of the target area. Therefore, we need to first obtain a spatial distribution model of each target type of fracture in the target area. The spatial distribution model can include a three-dimensional fracture network model of the fractures in each fracture.

[0044] Therefore, in some embodiments, step S5 "establishing a spatial distribution model of the target type of fault body according to the seismic data and the genetic mechanism analysis results of the target type of fault body, the internal structure characteristics analysis results, and the spatial distribution contour model" includes:

[0045] Step S51: establishing a three-dimensional fracture network model of each fault body according to the seismic data and the genetic mechanism analysis results of each fault body, the internal structural characteristics analysis results, and the spatial distribution profile.

[0046] Step S52: merging the three-dimensional fracture network models of multiple fracture bodies in the target type fracture body to obtain a spatial distribution model of the target type fracture body.

[0047] In order to obtain the spatial distribution model of the target type of fracture body, it is necessary to first obtain the three-dimensional fracture network model of each fracture body. In some embodiments, step S51 "establishing a three-dimensional fracture network model of each fracture body based on the seismic data and the analysis results of the genetic mechanism of each fracture body, the analysis results of the internal structural characteristics, and the spatial distribution profile" includes:

[0048] Step S511: establishing a large fracture three-dimensional distribution discrete model of large-scale fractures in the target fracture body according to the seismic data within the spatial distribution contour of the target fracture body.

[0049] Step S512: establishing a small crack three-dimensional distribution discrete model of small-scale cracks in the target fracture body according to the analysis results of the formation mechanism and the internal structure characteristics of the target fracture body within the spatial distribution contour of the target fracture body.

[0050] There are often many cracks and fractures in a fault body. Of course, fractures are large cracks. In order to avoid difficulty in expressing clearly, fractures are also referred to as cracks in this application. The cracks in the fault body are large and small. Large cracks can be directly and accurately identified through seismic data, so in this application, the cracks that can be accurately identified through seismic data are positioned as large-scale cracks. Cracks that cannot be accurately identified through seismic data but can be accurately identified through drilling cores or imaging logging are defined as small-scale cracks.

[0051] There are different processing methods for large-scale cracks and small-scale cracks. For large-scale cracks, the three-dimensional discrete distribution model of large-scale cracks can be directly established by using the recognition results of seismic data and human-computer interaction. In order to distinguish, it is called the three-dimensional discrete distribution model of large cracks in this application. Similarly, the three-dimensional discrete distribution model of small-scale cracks is called the three-dimensional discrete distribution model of small cracks.

[0052] In this application, if you want to obtain a three-dimensional crack network model for each fracture body, you need to obtain a three-dimensional discrete distribution model of each crack in each fracture body. In order to better express and distinguish in this application, in step S51-step S52, the three-dimensional crack network model of a fracture body is used as an example to explain and explain, and it is called the target fracture body. The process of establishing a three-dimensional crack network model is to establish a three-dimensional discrete distribution model of each crack in the spatial distribution profile of the target fracture body. Therefore, after completing the three-dimensional discrete distribution model of large cracks of large-scale cracks and the three-dimensional discrete distribution model of small cracks of small-scale cracks in the spatial distribution profile, the three-dimensional crack network model of the target fracture body can be obtained.

[0053] Although the large-scale crack three-dimensional discrete distribution model is easy to obtain, it is still necessary to obtain the small-scale crack three-dimensional discrete distribution model of small-scale cracks. Therefore, in some embodiments, step S512 "establishing the small-scale crack three-dimensional discrete distribution model of small-scale cracks in the target fracture body according to the analysis results of the cause mechanism and the analysis results of the internal structure characteristics of the target fracture body within the spatial distribution contour of the target fracture body" includes:

[0054] Step S5121: determining the genesis type and parameter distribution characteristics of small-scale cracks in the target fracture body according to the genesis mechanism analysis results and the internal structure characteristic analysis results of the target fracture body.

[0055] In step S2, we have learned that the genetic mechanism analysis results of each fracture body include the genetic type of each crack. The internal structural characteristics analysis results also include the parameter distribution characteristics of each crack. And we need to obtain a small-scale crack three-dimensional discrete distribution model. Therefore, it is necessary to determine the genetic type and parameter distribution characteristics of small-scale cracks through the genetic mechanism analysis results and internal structural characteristics analysis results of the target fracture body.

[0056] Step S5122: Determine a single well fracture density curve of small-scale fractures along the wellbore according to the genetic type and the parameter distribution characteristics.

[0057] Since there are many small-scale cracks in a fault body, and these small-scale cracks cannot be observed in full, the small-scale cracks are deduced in this application. The data that needs to be combined mainly include the single well crack density curve. Although we cannot determine how many small-scale cracks there are in each fault body underground, we can get the density of small-scale cracks in each wellbore, and then we can derive the density model of small-scale cracks in the entire fault body.

[0058] Step S5123: Determine a fracture density model of small-scale fractures based on the plurality of single-well fracture density curves.

[0059] Therefore, in step S5123, we can determine the density model of small-scale fractures in the target fault body according to the fracture density curves of multiple single wells. Of course, in addition to the fracture density curves of multiple single wells, other parameters are also needed as constraints on the fracture density model, that is, the comprehensive control of the fractures in the fault body and other geological factors in the internal structural characteristics analysis results of the target fault body, so that a fracture density model that is more in line with the actual situation can be obtained. Of course, the constraints mentioned above are only part of the constraints. Constraints can also include: such as the fracture development intensity attributes of the fault body predicted based on seismic data, the change of the degree of fracture development of each plate of the fault as the distance from the fault changes, the relationship between the change of the formation curvature of the two plates of the formation and the degree of fracture development, the relationship between the sedimentary phase, lithofacies, lithology, rock thickness, rock mechanical parameters, brittleness index, and rock fabric changes in the two plates of the fault and the degree of fracture development, etc.

[0060] Step S5124: Obtain the fracture occurrence characteristics and scale distribution characteristics of small-scale fractures.

[0061] The parameters statistically analyzed in the internal structural characteristics analysis results of each fracture body mentioned in step S2 include: the occurrence characteristics and scale distribution characteristics of the cracks in each fracture body. Therefore, the occurrence characteristics and scale distribution characteristics of small-scale fractures can be directly obtained from the internal structural characteristics analysis results of the target fracture body.

[0062] Step S5125 establishes a small crack three-dimensional distribution discrete model of small-scale cracks within the spatial distribution contour of the target fracture body according to the crack density model of the small-scale cracks, the crack occurrence characteristics and the scale distribution characteristics.

[0063] After obtaining the fracture occurrence characteristics and scale distribution characteristics of small-scale fractures, a small-scale three-dimensional distribution discrete model of small-scale fractures in the target fault body is established within the spatial distribution contour of the target fault body based on the fracture occurrence characteristics and scale distribution characteristics and with the fracture density model as a constraint.

[0064] Step S6: determining the attribute parameter model of the target type of fracture body according to the spatial distribution model of the target type of fracture body, the genetic mechanism analysis result and the internal structure characteristic analysis result.

[0065] The purpose of this application is to obtain a refined fracture body model, but after step S5, what is obtained is a spatial distribution model of the target type fracture body. Although the spatial distribution model describes the structural morphology and positional relationship of the cracks in each fracture body, in order to better support the efficient exploration and development of oil and gas reservoirs, it is also necessary to assign parameters to each fracture body in the spatial distribution model.

[0066] Therefore, in some embodiments, step S6 "determine the attribute parameter model of the target type fracture body according to the spatial distribution model of the target type fracture body, the cause mechanism analysis result and the internal structure feature analysis result" includes:

[0067] Step S61: determining the distribution of the opening parameters of the cracks of different scales in each fault body according to the analysis results of the formation mechanism and the internal structure characteristics of each fault body in the target type fault body.

[0068] If you want the final refined fracture body model to be able to guide the efficient exploration and development of oil and gas reservoirs, you need to know the permeability and porosity distribution of each fracture body. The overall permeability and porosity of the fracture body are affected by the various fracture states in the fracture body. Therefore, it is necessary to determine the permeability and porosity of each fracture in the fracture body. The permeability and porosity of the fractures are affected by the fracture aperture. Therefore, in this application, it is necessary to first determine the fracture genesis type of each fracture body in the target type fracture body, as well as the distribution of the aperture parameters of fractures of different scales in the fracture body. The internal structural characteristics analysis results of each fracture body also include the distribution of the aperture parameters of fractures of different scales in the fracture body.

[0069] Step S62: establishing a fracture aperture distribution model for each fracture body based on the corresponding three-dimensional fracture network model according to the genesis type and the aperture parameter distribution of each fracture body.

[0070] After obtaining the distribution of the aperture parameters of cracks of different scales in each fault body, the fracture aperture distribution model of each fault body can be established based on the corresponding three-dimensional fracture network model in combination with the corresponding fracture genesis mechanism.

[0071] Step S63: establishing a porosity model and a permeability model of the fractures in each fracture body according to the fracture aperture distribution model of each fracture body, that is, obtaining an attribute parameter model of the target type fracture body.

[0072] The fracture aperture distribution model expresses the aperture of each fracture in the fracture body. Therefore, the porosity model and permeability model of each fracture body can be established according to the fracture aperture distribution model of each fracture body, and then the final attribute parameter model can be obtained. This attribute parameter model can express the positional relationship of each fracture body in this type of fracture body, the positional relationship of each fracture in each fracture body, and the permeability and porosity of each fracture body, which provides good support for the efficient exploration and development of oil and gas reservoirs.

[0073] Of course, in order to ensure that the obtained attribute parameter model is more in line with the actual underground conditions, in this application, step S63 "establishing a porosity model and a permeability model of the fractures in each fracture body according to the fracture aperture distribution model of each fracture body" includes:

[0074] Step S641: establishing a preliminary porosity model and a preliminary permeability model for each fracture body according to the fracture aperture distribution model of each fracture body.

[0075] Step S642: Obtain well test interpretation data of the target area.

[0076] Step S643: Determine the comprehensive reservoir porosity and permeability results of the target area based on the well test interpretation data.

[0077] Step S644: modifying the preliminary porosity model and the preliminary permeability model of each fracture body according to the comprehensive reservoir porosity and the permeability results to obtain a final porosity model and permeability model of each fracture body.

[0078] In this application, the porosity model and permeability model of each fault body are determined according to the fracture aperture model of each fault body. However, the porosity model and permeability model obtained at this time are derived and calculated, and there are still certain errors with the actual situation underground. In order to obtain a model that is more in line with the underground situation, it is necessary to correct the preliminary permeability model and preliminary porosity model of each fault body in this application. The best way to correct it is to obtain the actual porosity and permeability of the target area, so it is necessary to obtain the well test interpretation data of the target area. The permeability and porosity of each well are recorded in the well test interpretation data. Therefore, the comprehensive reservoir porosity and permeability results of the target area can be obtained through the well test interpretation data. The preliminary permeability model and preliminary porosity model are corrected by the comprehensive reservoir porosity and permeability results, so that the corrected permeability model and porosity model are closer to the actual situation underground. Then, the obtained fault body attribute parameter module is made more in line with the attribute parameter model of the underground situation. This attribute parameter model can better guide the efficient exploration and development of oil and gas reservoirs.

[0079] Of course, in this application, after the fracture bodies are classified, the fracture bodies of the same type can be graded according to their size, so that the attribute parameter model of each type of fracture body is more accurate. The processing method for fracture bodies of different levels is the same as the above processing method, except that the numerical values ​​used are changed.

[0080] Embodiment 2:

[0081] Based on the foregoing embodiments, an embodiment of the present application provides a device for establishing a fracture body model. The modules included in the device and the units included in each module can be implemented by a processor in a computer device; of course, they can also be implemented by a specific logic circuit; in the implementation process, the processor can be a central processing unit (CPU, Central Processing Unit), a microprocessor (MPU, Microprocessor Unit), a digital signal processor (DSP, Digital Signal Processing) or a field programmable gate array (FPGA, Field Programmable Gate Array), etc.

[0082] like Figure 2 As shown, a device for establishing a fracture body model includes: a first acquisition module 1, a first execution module 2, a second execution module 3, a first establishment module 4, a second establishment module 5 and a first determination module 6.

[0083] The first acquisition module 1 is used to obtain geological data, logging data, analysis and testing data, and seismic data of the target area. The first execution module 2 is used to analyze the genetic mechanism and internal structural characteristics of each fault body in the target area according to the geological data, the logging data, the analysis and testing data, and the seismic data, and obtain the genetic mechanism analysis results and internal structural characteristics analysis results of each fault body. The second execution module 3 is used to classify the fault bodies in the target area according to the genetic mechanism analysis results and the internal structural characteristics analysis results of each fault body. The first establishment module 4 is used to establish a spatial distribution contour model of the target type fault body according to the seismic data. The second establishment module 5 is used to establish a spatial distribution model of the target type fault body according to the seismic data and the genetic mechanism analysis results, the internal structural characteristics analysis results, and the spatial distribution contour model of the target type fault body. The first determination module 6 is used to determine the attribute parameter model of the target type fault body according to the spatial distribution model of the target type fault body, the genetic mechanism analysis results, and the internal structural characteristics analysis results.

[0084] In some embodiments, the first establishing module 4 includes: a second determining module, a third determining module and a third executing module.

[0085] The second determination module is used to determine the seismic attributes of the target area according to the seismic data. The third determination module is used to determine the spatial distribution profile of all fracture bodies in the target area according to the seismic attributes. The third execution module is used to merge the spatial distribution profiles corresponding to all fracture bodies in the target type fracture body to obtain the spatial distribution profile model of the target type fracture body.

[0086] In some embodiments, the second establishing module 5 includes: a third establishing module and a fourth executing module.

[0087] The third establishment module is used to establish a three-dimensional fracture network model of each fracture body according to the seismic data and the analysis results of the genetic mechanism of each fracture body, the analysis results of the internal structural characteristics, and the spatial distribution profile. The fourth execution module is used to merge the three-dimensional fracture network models of multiple fracture bodies in the target type fracture body to obtain the spatial distribution model of the target type fracture body.

[0088] In some embodiments, the third establishment module includes: a fifth establishment module and a sixth establishment module.

[0089] The fifth establishment module is used to establish a large-crack three-dimensional distribution discrete model of large-scale cracks in the target fault body according to the seismic data within the spatial distribution contour of the target fault body. The sixth establishment module is used to establish a small-crack three-dimensional distribution discrete model of small-scale cracks in the target fault body according to the analysis results of the cause mechanism and the analysis results of the internal structure characteristics of the target fault body within the spatial distribution contour of the target fault body.

[0090] In some embodiments, the sixth establishing module includes: a sixth determining module, a seventh determining module, an eighth determining module, a second acquiring module and a fourth establishing module.

[0091] The sixth determination module is used to determine the genesis type and parameter distribution characteristics of the small-scale fractures in the target fracture body according to the results of the analysis of the genesis mechanism and the internal structural characteristics of the target fracture body. The seventh determination module is used to determine the single-well fracture density curve of the small-scale fractures along the wellbore according to the genesis type and the parameter distribution characteristics. The eighth determination module is used to determine the fracture density model of the small-scale fractures according to a plurality of the single-well fracture density curves. The second acquisition module is used to acquire the fracture occurrence characteristics and scale distribution characteristics of the small-scale fractures in the target fracture body. The fourth establishment module is used to establish a small-scale fracture three-dimensional distribution discrete model within the spatial distribution contour of the target fracture body according to the fracture density model of the small-scale fractures, the fracture occurrence characteristics and the scale distribution characteristics.

[0092] In some embodiments, the first determining module 6 includes: a ninth determining module, a fifth establishing module and a sixth establishing module.

[0093] The ninth determination module is used to determine the distribution of the opening parameters of the fractures of different scales in each fracture body according to the analysis results of the causal mechanism and the internal structural characteristics of each fracture body in the target type fracture body. The fifth establishment module is used to establish the fracture opening distribution model of each fracture body on the basis of the corresponding three-dimensional fracture network model according to the causal type and the opening parameter distribution of each fracture body. The sixth establishment module is used to establish the porosity model and permeability model of the fractures in each fracture body according to the fracture opening distribution model of each fracture body, that is, to obtain the attribute parameter model of the target type fracture body.

[0094] In some embodiments, the sixth establishing module includes: a seventh establishing module, a third acquiring module, a twelfth determining module and a seventh executing module.

[0095] The seventh establishment module is used to establish a preliminary porosity model and a preliminary permeability model of each fracture body according to the fracture aperture distribution model of each fracture body. The third acquisition module is used to obtain the well test interpretation data of the target area. The twelfth determination module is used to determine the comprehensive reservoir porosity and permeability results of the target area according to the well test interpretation data. The seventh execution module modifies the preliminary porosity model and the preliminary permeability model of each fracture body according to the comprehensive reservoir porosity and the permeability results to obtain the final porosity model and permeability model of each fracture body.

[0096] Each module in the above-mentioned device for establishing a fracture body model can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the device in the form of hardware, or can be stored in the memory in the processing device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0097] Embodiment 3:

[0098] A third aspect provides an electronic device, including a storage device and a processor, wherein the storage device stores a computer program, and when the processor executes the computer program, the steps of a method for establishing a fracture body model are implemented.

[0099] Embodiment 4:

[0100] A fourth aspect provides a storage medium, wherein a computer program stored in the storage medium can be executed by one or more processors, and the computer program can be used to implement the steps of any one of the methods for establishing a fracture body model in the first aspect.

[0101] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0102] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the size of the sequence number of the above-mentioned processes does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. The above-mentioned sequence numbers of the embodiments of the present application are only for description and do not represent the advantages and disadvantages of the embodiments.

[0103] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0104] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0105] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0106] In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be a separate unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0107] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read Only Memory), disks or optical disks, etc. Various media that can store program codes.

[0108] Alternatively, if the above-mentioned integrated unit of the present application is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application can essentially or in other words, the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium and includes a number of instructions for a controller to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks, or optical disks.

[0109] The above is only an implementation method of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field 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. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for establishing a fracture body model, characterized in that: include: Obtain geological data, well logging data, analytical testing data and seismic data in the target area; Analyze the genetic mechanism and internal structural characteristics of each fault body in the target area according to the geological data, the well logging data, the analytical test data and the seismic data to obtain the genetic mechanism analysis results and internal structural characteristics analysis results of each fault body; Classifying the fault bodies in the target area according to the analysis results of the genetic mechanism and the internal structural characteristics of each fault body, wherein fault bodies with the same analysis results of the genetic mechanism and the internal structural characteristics are classified into the same type of fault bodies; Establishing a spatial distribution contour model of a target type fault body according to the seismic data; Establishing a spatial distribution model of the target type of fault body according to the seismic data, the genetic mechanism analysis results of the target type of fault body, the internal structure characteristics analysis results, and the spatial distribution contour model; The attribute parameter model of the target type fracture body is determined according to the spatial distribution model of the target type fracture body, the genetic mechanism analysis result and the internal structure characteristic analysis result.

2. The method according to claim 1, characterized in that The step of establishing a spatial distribution contour model of a target type fault body according to the seismic data comprises: Determining the seismic attributes of the target area based on the seismic data; Determine the spatial distribution outline of all fault bodies in the target area according to the seismic attributes; The spatial distribution contours corresponding to all fracture bodies in the target type fracture body are merged to obtain the spatial distribution contour model of the target type fracture body.

3. The method according to claim 2, characterized in that The step of establishing a spatial distribution model of the target type of fault body according to the seismic data, the genetic mechanism analysis results of the target type of fault body, the internal structure characteristics analysis results, and the spatial distribution contour model comprises: Establishing a three-dimensional fracture network model of each fault body according to the seismic data and the analysis results of the genetic mechanism of each fault body, the analysis results of the internal structural characteristics, and the spatial distribution profile; The three-dimensional fracture network models of multiple fracture bodies in the target type fracture body are merged to obtain the spatial distribution model of the target type fracture body.

4. The method according to claim 3, characterized in that The three-dimensional fracture network model includes: a three-dimensional distribution discrete model of small fractures and a three-dimensional distribution discrete model of large fractures; the three-dimensional fracture network model of each fracture body is established based on the seismic data and the analysis results of the genetic mechanism of each fracture body, the analysis results of the internal structural characteristics, and the spatial distribution profile, including: Establishing a large-scale fracture three-dimensional distribution discrete model of large-scale fractures in the target fracture body according to the seismic data within the spatial distribution contour of the target fracture body, wherein fractures that can be accurately identified by the seismic data are defined as large-scale fractures; A three-dimensional distribution discrete model of small fractures in the target fault body is established within the spatial distribution contour of the target fault body according to the analysis results of the genetic mechanism and the internal structural characteristics of the target fault body, wherein fractures that cannot be accurately identified by seismic data but can be accurately identified by drilling cores or imaging logging are defined as small-scale fractures.

5. The method according to claim 4, characterized in that The small crack three-dimensional distribution discrete model of small-scale cracks in the target fracture body is established according to the analysis results of the formation mechanism and the analysis results of the internal structure characteristics of the target fracture body within the spatial distribution contour of the target fracture body, including: Determine the genetic type and parameter distribution characteristics of small-scale cracks in the target fracture body according to the genetic mechanism analysis results and the internal structural characteristics analysis results of the target fracture body; Determine a single well fracture density curve of small-scale fractures along the wellbore according to the genetic type and the parameter distribution characteristics; Determine a fracture density model of small-scale fractures according to a plurality of single-well fracture density curves; Obtaining crack occurrence characteristics and scale distribution characteristics of small-scale cracks in the target fault body; A small crack three-dimensional distribution discrete model of small-scale cracks is established within the spatial distribution contour of the target fracture body according to the crack density model of the small-scale cracks, the crack occurrence characteristics and the scale distribution characteristics.

6. The method according to claim 5, characterized in that Determining the attribute parameter model of the target type fracture body according to the spatial distribution model of the target type fracture body, the genetic mechanism analysis result and the internal structure characteristic analysis result includes: Determine the distribution of the opening parameters of the cracks of different scales in each fault body according to the analysis results of the formation mechanism and the analysis results of the internal structure characteristics of each fault body in the target type fault body; According to the genesis type of each fracture body and the distribution of the aperture parameters, a fracture aperture distribution model of each fracture body is established on the basis of the corresponding three-dimensional fracture network model; A porosity model and a permeability model of the fractures in each fracture body are established according to the fracture aperture distribution model of each fracture body, that is, an attribute parameter model of the target type fracture body is obtained.

7. The method according to claim 6, characterized in that The method of establishing a porosity model and a permeability model of the cracks in each fracture body according to the fracture aperture distribution model of each fracture body comprises: Establishing a preliminary porosity model and a preliminary permeability model for each fracture body according to the fracture aperture distribution model of each fracture body; Obtain well test interpretation data for the target area; Determine the comprehensive reservoir porosity and permeability results of the target area based on the well test interpretation data; The preliminary porosity model and the preliminary permeability model of each fracture body are modified according to the comprehensive reservoir porosity and the permeability results to obtain the final porosity model and permeability model of each fracture body.

8. A device for establishing a fracture body model, characterized in that: include: The first acquisition module is used to acquire geological data, well logging data, analytical test data and seismic data of the target area; The first execution module is used to analyze the genetic mechanism and internal structural characteristics of each fault body in the target area according to the geological data, the well logging data, the analytical test data and the seismic data, and obtain the genetic mechanism analysis results and internal structural characteristics analysis results of each fault body; A second execution module is used to classify the fault bodies in the target area according to the analysis results of the formation mechanism and the internal structural characteristics of each fault body; The first establishment module is used to establish a spatial distribution contour model of a target type of fault body according to the seismic data; The second establishment module is used to establish a spatial distribution model of the target type of fault body according to the seismic data and the genetic mechanism analysis results of the target type of fault body, the internal structure characteristics analysis results, and the spatial distribution contour model; The first determination module is used to determine the attribute parameter model of the target type of fracture body according to the spatial distribution model of the target type of fracture body, the cause mechanism analysis result and the internal structure feature analysis result.

9. An electronic device, characterized in that: include: A memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method according to any one of claims 1 to 7 is performed.

10. A storage medium, characterized in that: The computer program stored in the storage medium can be executed by one or more processors, and the computer program can be used to implement the method according to any one of claims 1 to 7.

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