Fault trap capacity evaluation method, device and equipment and storage medium

Abstract

The present application relates to the technical field of oil and gas exploration, and provides a fault trap capacity evaluation method, device, equipment and storage medium, the method comprises the following steps: based on the logging data of the extensional stress fault area to be evaluated, a quantitative relationship model between the friction coefficient and the shale content is constructed; the target shale content of any target micro-element point is extracted, and the target friction coefficient of the target micro-element point is calculated based on the quantitative relationship model; the first evaluation parameter of the mechanical stability of the target micro-element point is calculated based on the target friction coefficient, and the second evaluation parameter of the sealing capacity of the target micro-element point is calculated according to the target shale content; the ultimate pressure-bearing capacity of the target micro-element point is determined based on the first evaluation parameter and the second evaluation parameter. By constructing the quantitative relationship model between the friction coefficient and the shale content, the quantitative relationship between the fault physical property and the mechanical property is established, the ultimate pressure-bearing capacity of the extensional stress fault is comprehensively evaluated, and the evaluation accuracy of the fault ultimate pressure-bearing capacity is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil and gas exploration, and particularly relates to a fault trap capacity evaluation method, device, equipment and storage medium. BACKGROUND

[0002] With the extension of oil and gas exploration to deep layers, complex reservoirs and unconventional fields, the evaluation of the ultimate pressure-bearing capacity of the boundary fault in the trap geological body is the key to ensuring the safety and efficiency of oil and gas reservoir development. In the trap geological body, it is usually necessary to dynamically evaluate the ultimate pressure-bearing capacity of the boundary fault. However, the evaluation of the fault trap capacity is limited by insufficient evaluation factors, and only a single evaluation standard is usually used to evaluate the ultimate pressure-bearing capacity of the fault, resulting in that the evaluation result does not match the actual ultimate pressure-bearing capacity of the fault. SUMMARY

[0003] The present application provides a fault trap capacity evaluation method, device, equipment and storage medium to solve the problem of inaccurate evaluation of the ultimate pressure-bearing capacity of the fault by using a single standard in the prior art.

[0004] The present application provides a fault trap capacity evaluation method, comprising the following steps:

[0005] Based on the logging data of the extensional stress fault region to be evaluated, a quantitative relationship model between the friction coefficient and the shale content is constructed; the quantitative relationship model represents the functional relationship between the friction coefficient and the shale content, the extensional stress fault region includes a plurality of micro-element points, and the logging data is obtained by sampling and logging the plurality of micro-element points;

[0006] The target shale content of the target micro-element point is extracted, and the target friction coefficient of the target micro-element point is calculated based on the quantitative relationship model; the target micro-element point is any one of the plurality of micro-element points;

[0007] Based on the target friction coefficient, the first evaluation parameter of the mechanical stability of the target micro-element point is calculated, and the second evaluation parameter of the sealing capacity of the target micro-element point is calculated according to the target shale content;

[0008] Based on the first evaluation parameter and the second evaluation parameter, the ultimate pressure-bearing capacity of the target micro-element point is determined.

[0009] According to the fault trap capacity evaluation method provided by the present application, the first evaluation parameter of the mechanical stability of the target micro-element point is calculated based on the target friction coefficient, which comprises:

[0010] acquire stress data of the extensional stress fault region; the stress data comprises normal stress and shear stress of the target microelement point;

[0011] based on Mohr-Coulomb failure criterion, a first evaluation parameter of mechanical stability of the target microelement point is calculated through the target friction coefficient, the normal stress and the shear stress.

[0012] According to the fault trap capacity evaluation method provided by the application, the second evaluation parameter of the sealing capacity of the target microelement point is calculated according to the target shale content, comprising:

[0013] According to the target shale content, the over-fault pressure difference of the target microelement point is calculated.

[0014] The formation pressure of the target microelement point is extracted from the target logging data of the target microelement point; the target logging data is obtained by logging the target microelement point.

[0015] Based on the over-fault pressure difference and the formation pressure, the second evaluation parameter of the sealing capacity of the target microelement point is calculated.

[0016] According to the fault trap capacity evaluation method provided by the application, the limit pressure-bearing capacity of the target microelement point is determined based on the first evaluation parameter and the second evaluation parameter, comprising:

[0017] The first evaluation parameter and the second evaluation parameter are compared to determine the smaller value of the first evaluation parameter and the second evaluation parameter.

[0018] The limit pressure-bearing capacity of the target microelement point is determined based on the smaller value.

[0019] According to the fault trap capacity evaluation method provided by the application, the quantitative relationship model is:

[0020] ;

[0021] wherein, is the friction coefficient, represents the shale content in the logging data, 、 and is a model parameter to be fitted.

[0022] According to the fault trap capacity evaluation method provided by the application, before the quantitative relationship model between the friction coefficient and the shale content is constructed based on the logging data of the extensional stress fault region to be evaluated, it further comprises:

[0023] The extensional stress fault region to be evaluated is divided into microelements to obtain a plurality of fault microelements.

[0024] Sampling based on the plurality of fault microelements to obtain sampling points;

[0025] Logging the sampling points to obtain logging data.

[0026] According to the fault trap capacity evaluation method provided by the application, the first evaluation parameter is: The second evaluation parameter is: Wherein, represents the normal stress of the target microelement point, represents the shear stress of the target microelement point, is the target friction coefficient of the target microelement point; represents the formation pressure of the target microelement point, represents the over-fault pressure difference of the target microelement point.

[0027] The application further provides a fault trap capacity evaluation device, comprising the following modules:

[0028] A model construction module is configured to construct a quantitative relationship model between a friction coefficient and a shale content based on logging data of an extensional stress fault region to be evaluated; the quantitative relationship model represents a functional relationship between the friction coefficient and the shale content, the extensional stress fault region comprises a plurality of microelement points, and the logging data is obtained by sampling and logging the plurality of microelement points;

[0029] A model application module is configured to extract a target shale content of a target microelement point and calculate a target friction coefficient of the target microelement point based on the quantitative relationship model; the target microelement point is any one of the plurality of microelement points;

[0030] A first evaluation module is configured to calculate a first evaluation parameter of the mechanical stability of the target microelement point based on the target friction coefficient and calculate a second evaluation parameter of the sealing capacity of the target microelement point according to the target shale content;

[0031] A second evaluation module is configured to determine the ultimate pressure-bearing capacity of the target microelement point based on the first evaluation parameter and the second evaluation parameter.

[0032] The application further provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the fault trap capacity evaluation method according to any one of the above.

[0033] The application further provides a non-transitory computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the fault sealing capacity evaluation method according to any one of the above.

[0034] The application further provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the fault sealing capacity evaluation method according to any one of the above.

[0035] The fault sealing capacity evaluation method, device, equipment and storage medium provided by the application can calculate the friction coefficient of the micro-element point based on the quantitative relationship model of the function relationship between the friction coefficient and the shale content, calculate the first evaluation parameter of the mechanical stability of the micro-element point based on the friction coefficient, calculate the second evaluation parameter of the sealing capacity of the micro-element point according to the shale content, and comprehensively evaluate the ultimate pressure-bearing capacity of the extensional stress fault region at the micro-element point based on the first evaluation parameter and the second evaluation parameter. The quantitative relationship model of the function relationship between the friction coefficient and the shale content is constructed, the quantitative relationship between the formation physical property and the mechanical property is established, the stability of the extensional stress fault is evaluated, the fault sealing property is quantified, the ultimate pressure-bearing capacity of the extensional stress fault is comprehensively evaluated, and the evaluation accuracy of the ultimate pressure-bearing capacity of the fault is improved. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0037] Figure 1 is a flowchart of the fault sealing capacity evaluation method provided by the application.

[0038] Figure 2 is a scatter plot of the corresponding relationship between the friction coefficient and the shale content provided by the application.

[0039] Figure 3 is an evaluation flowchart of the fault ultimate pressure-bearing capacity provided by the application.

[0040] Figure 4 is a structural schematic diagram of the fault sealing capacity evaluation device provided by the application.

[0041] Figure 5 is a structural schematic diagram of the electronic device provided by the application. DETAILED DESCRIPTION

[0042] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below with reference to the drawings in the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0043] The embodiment of the present application provides a fault sealing capacity evaluation method, which is used for evaluating the limit pressure-bearing capacity of a stretch stress fault of a sealing geological body. A function relationship between shale content and fault friction coefficient is constructed, a quantitative relationship between formation physical properties and mechanical properties is established, and the mechanical stability and sealing property of the fault are evaluated based on the quantitative relationship. The limit pressure-bearing capacity of the stretch fault is evaluated based on the mechanical stability and the fault sealing property. The method can significantly improve the accuracy of the evaluation of the limit pressure-bearing capacity of the fault of the sealing geological body, reduce the development risk of the oil and gas reservoir, and provide support for safe and efficient development of the oil and gas sealing geological body.

[0044] Specifically, Figure 1 is a flowchart of the fault sealing capacity evaluation method provided by the present application, as shown in Figure 1 The method comprises the following steps:

[0045] In step 100, a quantitative relationship model between a friction coefficient and shale content is constructed based on logging data of a stretch stress fault region to be evaluated. The quantitative relationship model represents a function relationship between the friction coefficient and the shale content. The stretch stress fault region comprises a plurality of microelement points, and the logging data is obtained by sampling and logging the plurality of microelement points.

[0046] In step 200, target shale content of a target microelement point is extracted, and a target friction coefficient of the target microelement point is calculated based on the quantitative relationship model. The target microelement point is any one of the plurality of microelement points.

[0047] In step 300, a first evaluation parameter of the mechanical stability of the target microelement point is calculated based on the target friction coefficient, and a second evaluation parameter of the sealing capacity of the target microelement point is calculated according to the target shale content.

[0048] In step 400, the limit pressure-bearing capacity of the target microelement point is determined based on the first evaluation parameter and the second evaluation parameter.

[0049] The quantitative relationship model between the friction coefficient and the shale content is constructed based on logging data of the extensional stress fault region to be evaluated, and the quantitative relationship model represents a functional relationship between the friction coefficient and the shale content of the extensional stress fault region and can be obtained by fitting the friction coefficient and the shale content at the same point in the logging data.

[0050] The extensional stress fault region includes a plurality of micro-element points, and the logging data is obtained by sampling and logging the plurality of micro-element points. The plurality of micro-element points are sampled and logged at the sampling points to obtain the logging data. The shale content and the friction coefficient at the same point in the logging data are fitted to obtain a functional relationship between the friction coefficient and the shale content as a quantitative relationship model between the friction coefficient and the shale content of the extensional stress fault region.

[0051] The logging data of each micro-element point in the extensional stress fault region can be obtained by logging or simulated logging, and the target shale content of the target micro-element point is extracted therefrom. The target shale content of the target micro-element point is calculated based on the quantitative relationship model between the friction coefficient and the shale content. The target micro-element point is any one of the plurality of micro-element points, and the shale content of the target micro-element point can be obtained by logging. The friction coefficient of the target micro-element point is calculated based on the shale content and the quantitative relationship model.

[0052] It should be noted that the shale content can be directly or indirectly obtained by logging, and the friction coefficient cannot be directly obtained by logging and needs to be indirectly estimated based on core experiment calibration or mineral composition analysis combined with logging correlation analysis.

[0053] Due to the difficulty and complexity of obtaining the friction coefficient, in the embodiment, the sampling points are logged and the friction coefficient is estimated by sampling and logging, and then the quantitative relationship model between the friction coefficient and the shale content is constructed. Subsequently, for any other micro-element point, the friction coefficient can be quickly estimated based on the shale content directly obtained by logging and the quantitative relationship model.

[0054] For the target micro-element point, after obtaining the target shale content at the point and estimating the target friction coefficient, the first evaluation parameter of the mechanical stability of the target micro-element point is calculated based on the target friction coefficient, and the second evaluation parameter of the sealing capacity of the target micro-element point is calculated according to the obtained shale content. Finally, the sealing capacity of the target micro-element point is comprehensively analyzed based on the first evaluation parameter and the second evaluation parameter to determine the ultimate pressure-bearing capacity of the extensional stress fault region at the target micro-element point.

[0055] In this way, the limit pressure bearing capacity of each micro-element point of the extensional stress fault region can be evaluated, and the limit pressure bearing capacity of the extensional stress fault region can be evaluated based on the limit pressure bearing capacity of each micro-element point.

[0056] In the embodiment, by constructing the quantitative relationship model of the function relationship between the friction coefficient and the shale content, the limit pressure bearing capacity of the extensional stress fault region at the micro-element point can be evaluated based on the shale content of any micro-element point of the extensional stress fault region, the friction coefficient of the micro-element point can be calculated based on the quantitative relationship model, the first evaluation parameter of the mechanical stability of the micro-element point can be calculated based on the friction coefficient, the second evaluation parameter of the sealing capacity of the micro-element point can be calculated according to the shale content, and the limit pressure bearing capacity of the extensional stress fault region at the micro-element point can be evaluated based on the first evaluation parameter and the second evaluation parameter. By constructing the quantitative relationship model between the friction coefficient and the shale content, the quantitative relationship between the formation physical property and the mechanical property is established, the stability of the extensional stress fault is evaluated, the fault sealing property is quantified, the limit pressure bearing capacity of the extensional stress fault is comprehensively evaluated, and the evaluation accuracy of the limit pressure bearing capacity of the fault is improved.

[0057] In one embodiment, the extensional stress fault region is divided into micro-elements to obtain a plurality of fault micro-elements, and an evaluation point is determined from each micro-element as a micro-element point. The fault micro-element is a micro unit obtained by discretely dividing the extensional stress fault region, and is a basic unit for sealing analysis, which can realize the spatial fine calculation of the extensional stress fault.

[0058] Based on this, before step 100, the following can also be included:

[0059] Step 001, dividing the extensional stress fault region to be evaluated into micro-elements to obtain a plurality of fault micro-elements;

[0060] Step 002, sampling based on the plurality of fault micro-elements to obtain sampling points;

[0061] Step 003, logging the sampling points to obtain logging data.

[0062] The extensional stress fault region to be evaluated is divided into micro-elements to obtain a plurality of fault micro-elements, and sampling is performed based on the plurality of fault micro-elements, including determining the sampled micro-elements and the logging points in the sampled micro-elements to obtain the sampling points. Logging is performed on the sampling points to obtain logging data, and a quantitative relationship model of the friction coefficient and the shale content is constructed based on the logging data.

[0063] In one embodiment, the depth of the measurement point is calibrated, the corresponding relationship scatter plot of the shale content and the friction coefficient of the logging curve of the exploration well passing through the fault or the adjacent region of the fault is established, the corresponding relationship of the shale content and the friction coefficient of the sampling points of the fault region is fitted, and the function relationship between the two is established.

[0064] The quantitative relationship model between the friction coefficient and the shale content is shown in the following formula 1:

[0065] ; (1)

[0066] wherein, is the friction coefficient, represents the shale content in the logging data, , and are model parameters to be fitted.

[0067] Exemplarily, the corresponding relationship scatter plot of the shale content and the friction coefficient of the well in the X area Y well passing through the fault or the fault adjacent area in the extensional stress fault region is established with the depth calibration measuring point, as shown in formula 2, the corresponding relationship of the shale content and the friction coefficient in the fault area is fitted, and the function relationship therebetween is established as: Figure 2

[0068] ; (2)

[0069] In formula 2, the values of , and are , and respectively.

[0070] The first evaluation parameter of the mechanical stability of the target micro-element point is calculated based on the friction coefficient and the stress data of the target micro-element point. Based on this, in step 300, the first evaluation parameter of the mechanical stability of the target micro-element point is calculated based on the friction coefficient of the target micro-element point, including:

[0071] In step 301, the stress data of the extensional stress fault region is obtained; the stress data includes the normal stress and the shear stress of the target micro-element point;

[0072] In step 302, based on the Mohr-Coulomb failure criterion, the first evaluation parameter of the mechanical stability of the target micro-element point is calculated through the target friction coefficient, the normal stress and the shear stress.

[0073] The stress data of the extensional stress fault region is obtained, and the stress data at least includes the normal stress and the shear stress of the target micro-element point. Based on the Mohr-Coulomb failure criterion, the first evaluation parameter of the mechanical stability of the target micro-element point is calculated through the target friction coefficient, the normal stress and the shear stress of the target micro-element point.

[0074] ​The second evaluation parameter of the sealing capacity of the target micro-element point is calculated based on the over-fault pressure difference and the formation pressure, and the over-fault pressure difference is calculated based on the shale content. Therefore, in step 300, the second evaluation parameter of the sealing capacity of the target micro-element point is calculated according to the shale content, including:

[0075] In step 303, the over-fault pressure difference of the target micro-element point is calculated according to the target shale content.

[0076] In step 304, the formation pressure of the target micro-element point is extracted from the target logging data of the target micro-element point.

[0077] In step 305, the second evaluation parameter of the sealing capacity of the target micro-element point is calculated based on the over-fault pressure difference and the formation pressure.

[0078] The over-fault pressure difference of the target micro-element point is calculated according to the shale content, the formation pressure of the target micro-element point is extracted from the logging data of the target micro-element point, and then the second evaluation parameter of the sealing capacity of the target micro-element point is calculated based on the over-fault pressure difference and the formation pressure of the target micro-element point. The target logging data is obtained by logging the target micro-element point.

[0079] The over-fault pressure difference of the target micro-element point is calculated according to the shale content, which is specifically divided into shale layers according to the shale content, the continuity of the fault shale smear is determined, the fault shale ratio is calculated, and then the over-fault pressure difference is calculated according to the fault shale ratio.

[0080] In one embodiment, the first evaluation parameter can be represented as: The second evaluation parameter can be represented as: wherein, represents the normal stress of the fault micro-element point, represents the shear stress of the fault micro-element point, is the friction coefficient of the fault micro-element point; represents the formation pressure of the fault micro-element point, represents the over-fault pressure difference of the fault micro-element point.

[0081] Referring to Figure 3The limit pressure-bearing capacity evaluation process of the extensional stress fault zone is shown. A plurality of fault micro-units of the extensional stress fault zone are sampled, logging is performed on the sampling points to obtain logging data, and a quantitative relationship model between shale content and friction coefficient of the extensional stress fault zone is constructed based on the logging data. Further, the physical property data and stress data of the extensional stress fault zone are obtained, wherein the physical property data can be logging data or data determined according to the logging data. The physical property data includes the shale content and the formation pressure of the micro-unit points of the fault micro-units, the over-fault pressure difference of the fault micro-units is determined based on the physical property data, and the friction coefficient of the micro-unit points is calculated in combination with the quantitative relationship model between the friction coefficient and the shale content. Based on the friction coefficient of the micro-unit points and the stress data, a first evaluation parameter of the mechanical stability of the micro-unit points is calculated, a second evaluation parameter of the sealing capacity of the micro-unit points is calculated based on the over-fault pressure difference and the formation pressure, and the limit pressure-bearing capacity of the micro-unit points is comprehensively evaluated according to the first evaluation parameter and the second evaluation parameter to determine the limit pressure-bearing capacity of the micro-unit points.

[0082] In one embodiment, the first evaluation parameter corresponds to a first limit pressure-bearing capacity value of the micro-unit points, the second evaluation parameter corresponds to a second limit pressure-bearing capacity value of the micro-unit points, and the comprehensive evaluation of the micro-unit points is to select a smaller value from the first evaluation parameter and the second evaluation parameter, and take the smaller value as the limit pressure-bearing capacity of the micro-unit points to realize the comprehensive evaluation of the limit pressure-bearing capacity of the micro-unit points. Based on this, step 400 includes:

[0083] Step 401, comparing the first evaluation parameter and the second evaluation parameter to determine the smaller value of the first evaluation parameter and the second evaluation parameter;

[0084] Step 402, determining the limit pressure-bearing capacity of the target micro-unit point based on the smaller value.

[0085] The first evaluation parameter and the second evaluation parameter are compared to determine the smaller value of the first evaluation parameter and the second evaluation parameter, and the limit pressure-bearing capacity of the target micro-unit point is determined based on the smaller value, wherein the smaller value of the first evaluation parameter and the second evaluation parameter represents the limit pressure-bearing capacity of the target micro-unit point.

[0086] In one embodiment, the quantitative relationship model between the friction coefficient and the shale content of the X area Y well established by calibrating the measurement points with depth is taken as the basis, the shale content data of each fault micro-unit point is extracted , and the friction coefficient of the corresponding fault micro-unit point is calculated based on the function relationship represented by the established quantitative relationship model . Based on the friction coefficient of the fault micro-unit point, the first evaluation parameter of the fault limit pressure-bearing capacity based on the fault mechanical stability is calculated in combination with the Mohr-Coulomb failure criterion :

[0087] ; (3)

[0088] In formula 3, is the first evaluation parameter of the limit pressure-bearing capacity of the fault micro-element point position; is the normal stress of the fault micro-element point position is the shear stress of the fault micro-element point position represents the i-th micro-element point position in the j-th row of the multiple fault micro-elements in the extensional stress fault area.

[0089] Further, based on the positive correlation between the fault sealing capacity and the shale content of the fault zone, the sealing capacity of the fault micro-element point position is quantified by the cross-fault pressure difference AFPD, and the second evaluation parameter of the limit pressure-bearing capacity of the fault is calculated in combination with the actual formation pressure:

[0090] ; (4)

[0091] In formula 4, is the second evaluation parameter of the limit pressure-bearing capacity of the fault micro-element point position is the formation pressure of the fault micro-element point position is the cross-fault pressure difference of the fault micro-element point position.

[0092] wherein the cross-fault pressure difference AFPD can be obtained by calculating the fault shale ratio , and the calculation formula is as follows:

[0093] ; (5)

[0094] The calculation method of the fault shale ratio is that the fault shale thickness is divided by the overall thickness of the fault, is a dimensionless parameter, which is taken as a constant by an empirical method or calibration, for example, the value is 0.25-0.5 according to different burial depths.

[0095] For any micro-element point position, the first evaluation parameter and the second evaluation parameter of the limit pressure-bearing capacity of the micro-element point position are compared, and the smaller value of the two is selected as the limit pressure-bearing capacity of the micro-element point position:

[0096] (6)

[0097] ​​​​​​​​​Exemplarily, two microelement points D1 and D2 of the X area F1 fault are selected, shale content data of D1 and D2 are extracted, and the friction coefficient of the corresponding points is calculated based on the function relationship between the friction coefficient and the shale content shown in formula 2, as shown in Table 1.

[0098] Table 1:

[0099]

[0100] Based on the calculation results of the friction coefficients of D1 and D2 points, the stress parameters of the section are calculated in combination with the stress data of the corresponding positions, the stress parameters include the vertical principal stress, the horizontal maximum principal stress, the horizontal minimum principal stress, the normal stress and the shear stress, and then the first evaluation parameter of the limit pressure-bearing capacity based on the fault mechanics stability is calculated according to the friction coefficient and the stress parameter (unit: MPa), and the calculation results of the stress parameters and the first evaluation parameter are shown in Table 2:

[0101] Table 2:

[0102]

[0103] Based on the positive correlation between the fault sealing capacity and the shale content, the pressure difference across the fault of D1 and D2 points is calculated, and the second evaluation parameter of the limit pressure-bearing capacity of D1 and D2 points is calculated in combination with the formation pressure of the corresponding positions, as shown in Table 3:

[0104] Table 3:

[0105]

[0106] The first evaluation parameter and the second evaluation parameter of the limit pressure-bearing capacity of D1 and D2 points are compared to obtain the fault limit pressure-bearing capacity of each of the two points. As shown in the following formulas 7-8, the fault limit pressure-bearing capacity of D1 point of F1 fault is the second evaluation parameter 11.44 MPa, and the fault limit pressure-bearing capacity of D2 point of F1 fault is the first evaluation parameter 19.31 MPa.

[0107] ; (7)

[0108] (8)

[0109] The limit pressure-bearing capacity of each microelement point in the extensional stress fault area can be calculated in the above manner as the limit pressure-bearing capacity of each fault microelement, and then the limit pressure-bearing capacity of the extensional stress fault area is evaluated according to the limit pressure-bearing capacity of each fault microelement. Optionally, the minimum value of the limit pressure-bearing capacity of each microelement point is taken as the limit pressure-bearing capacity of the extensional stress fault area, to ensure the safety of oil and gas development.

[0110] In the embodiment, to solve the problem that the fault limit bearing capacity is overestimated due to a single evaluation standard, a comprehensive evaluation method for the fault limit bearing capacity is provided, a quantitative relationship model between the friction coefficient and the shale content is established through the logging friction coefficient and the shale content, the stress field data and the Mohr-Coulomb failure criterion are combined to calculate the mechanical stability parameter of the fault, that is, the first evaluation parameter, the differential pressure across the fault is calculated based on the fault sealing theory, the second evaluation parameter of the sealing capacity is calculated combined with the formation pressure, and finally the smaller value of the first evaluation parameter and the second evaluation parameter is selected as the limit bearing capacity of the micro-element point position of the fault. By establishing the quantitative relationship model between the friction coefficient and the shale content, the defects of data isolation and one-sided evaluation of the traditional evaluation method are solved, the accuracy and reliability of the evaluation result are significantly improved, the development risk of the oil and gas reservoir is reduced, and the method is suitable for various complex geological environments and provides support for efficient development of oil and gas resources.

[0111] Further, for the extensional stress fault region, the minimum value of the limit bearing capacity of each micro-element point position is selected as the limit bearing capacity of the extensional stress fault region, and based on the micro-element point position, high-precision evaluation of the extensional stress fault region is realized, finer evaluation results are provided for the development of oil and gas resources, and the accuracy of the evaluation results is improved.

[0112] The fault sealing capacity evaluation device provided by the present application is described below, and the fault sealing capacity evaluation device described below can be correspondingly referred to the fault sealing capacity evaluation method described above.

[0113] Reference Figure 4 The embodiment of the present application provides a fault sealing capacity evaluation device, which comprises:

[0114] A model construction module 10 is used for constructing a quantitative relationship model between a friction coefficient and a shale content based on logging data of an extensional stress fault region to be evaluated; the quantitative relationship model represents a functional relationship between the friction coefficient and the shale content, the extensional stress fault region comprises a plurality of micro-element point positions, and the logging data is obtained by sampling and logging the plurality of micro-element point positions;

[0115] A model application module 20 is used for extracting a target shale content of a target micro-element point position and calculating a target friction coefficient of the target micro-element point position based on the quantitative relationship model; the target micro-element point position is any one of the plurality of micro-element point positions;

[0116] A first evaluation module 30 is used for calculating a first evaluation parameter of the mechanical stability of the target micro-element point position based on the target friction coefficient and calculating a second evaluation parameter of the sealing capacity of the target micro-element point position according to the target shale content;

[0117] The second evaluation module 40 is configured to determine the ultimate pressure-bearing capacity of the target micro-element point based on the first evaluation parameter and the second evaluation parameter.

[0118] In one embodiment, the first evaluation module 30 is further configured to:

[0119] obtain stress data of the extensional stress fault zone; the stress data comprises normal stress and shear stress of the target micro-element point;

[0120] calculate the first evaluation parameter of the mechanical stability of the target micro-element point based on the target friction coefficient, the normal stress and the shear stress according to Mohr-Coulomb failure criterion.

[0121] In one embodiment, the first evaluation module 30 is further configured to:

[0122] calculate the over-fault pressure difference of the target micro-element point according to the target shale content;

[0123] extract the formation pressure of the target micro-element point from the target logging data of the target micro-element point; the target logging data is obtained by logging the target micro-element point;

[0124] calculate the second evaluation parameter of the sealing capacity of the target micro-element point based on the over-fault pressure difference and the formation pressure.

[0125] In one embodiment, the second evaluation module 40 is further configured to:

[0126] compare the first evaluation parameter and the second evaluation parameter to determine the smaller one of the first evaluation parameter and the second evaluation parameter;

[0127] determine the ultimate pressure-bearing capacity of the target micro-element point based on the smaller one.

[0128] In one embodiment, the quantitative relationship model is:

[0129] ;

[0130] wherein, is the friction coefficient, represents the shale content in the logging data, 、 and are model parameters to be fitted.

[0131] In one embodiment, the fault sealing capacity evaluation device further comprises a micro-element division and logging module configured to:

[0132] Divide the extensional stress fault region to be evaluated into microelements to obtain a plurality of fault microelements;

[0133] Sample based on the plurality of fault microelements to obtain a sampling point;

[0134] Carry out well logging on the sampling point to obtain well logging data.

[0135] In one embodiment, the first evaluation parameter is: The second evaluation parameter is: Wherein, represents the normal stress of the target microelement point, represents the shear stress of the target microelement point, is the target friction coefficient of the target microelement point; represents the formation pressure of the target microelement point, represents the over-fault pressure difference of the target microelement point.

[0136] Figure 5 An example of a schematic diagram of the physical structure of an electronic device is shown in Figure 5 The electronic device can include a processor 510, a communications interface 520, a memory 530, and a communications bus 540, wherein the processor 510, the communications interface 520, and the memory 530 communicate with each other through the communications bus 540. The processor 510 can invoke the logical instructions in the memory 530 to execute the steps of the fault trap capacity evaluation method, for example, including:

[0137] Based on the well logging data of the extensional stress fault region to be evaluated, a quantitative relationship model between the friction coefficient and the shale content is constructed; the quantitative relationship model represents the functional relationship between the friction coefficient and the shale content, the extensional stress fault region includes a plurality of microelement points, and the well logging data is obtained by sampling and well logging on the plurality of microelement points;

[0138] Extract the target shale content of the target microelement point, and calculate the target friction coefficient of the target microelement point based on the quantitative relationship model; the target microelement point is any one of the plurality of microelement points;

[0139] Based on the target friction coefficient, calculate the first evaluation parameter of the mechanical stability of the target microelement point, and calculate the second evaluation parameter of the sealing capacity of the target microelement point according to the target shale content;

[0140] Determine the ultimate pressure-bearing capacity of the target microelement point based on the first evaluation parameter and the second evaluation parameter.

[0141] Moreover, the logic instructions in the memory 530 described above can be implemented in the form of software function units and sold or used as independent products, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0142] On the other hand, the present application also provides a computer program product, which comprises a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and the computer program is executed by a processor, so that the computer can execute the steps of the fault sealing capacity evaluation method provided by the above-mentioned methods, for example, including:

[0143] Based on the logging data of the extensional stress fault region to be evaluated, a quantitative relationship model between the friction coefficient and the shale content is constructed; the quantitative relationship model represents a functional relationship between the friction coefficient and the shale content, the extensional stress fault region includes a plurality of micro-element points, and the logging data is obtained by sampling and logging the plurality of micro-element points;

[0144] The target shale content of the target micro-element point is extracted, and the target friction coefficient of the target micro-element point is calculated based on the quantitative relationship model; the target micro-element point is any one of the plurality of micro-element points;

[0145] Based on the target friction coefficient, a first evaluation parameter of the mechanical stability of the target micro-element point is calculated, and a second evaluation parameter of the sealing capacity of the target micro-element point is calculated according to the target shale content;

[0146] Based on the first evaluation parameter and the second evaluation parameter, the ultimate pressure-bearing capacity of the target micro-element point is determined.

[0147] In another aspect, the present application also provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the fault sealing capacity evaluation method provided by the above-mentioned methods, for example, including:

[0148] Based on logging data of a stretching stress fault region to be evaluated, a quantitative relationship model between a friction coefficient and shale content is constructed; the quantitative relationship model represents a functional relationship between the friction coefficient and the shale content, the stretching stress fault region includes a plurality of micro-element points, and the logging data is obtained by sampling logging on the plurality of micro-element points;

[0149] A target shale content of a target micro-element point is extracted, and a target friction coefficient of the target micro-element point is calculated based on the quantitative relationship model; the target micro-element point is any one of the plurality of micro-element points;

[0150] Based on the target friction coefficient, a first evaluation parameter of mechanical stability of the target micro-element point is calculated, and a second evaluation parameter of sealing capacity of the target micro-element point is calculated according to the target shale content;

[0151] Based on the first evaluation parameter and the second evaluation parameter, a limit pressure-bearing capacity of the target micro-element point is determined.

[0152] The device embodiments described above are only illustrative, wherein the units illustrated as separate components can or can not be physically separated, and the components illustrated as units can or can not be physical units, i.e., can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0153] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and necessary general hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, server, or network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0154] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for evaluating fault trap capacity, characterized by, The method comprises the following steps: constructing a quantitative relationship model between the friction coefficient and the shale content based on logging data of an extensional stress fault region to be evaluated; the quantitative relationship model represents a functional relationship between the friction coefficient and the shale content, the extensional stress fault region comprises a plurality of microelement points, and the logging data is obtained by sampling and logging the plurality of microelement points; extracting a target shale content of a target microelement point, and calculating a target friction coefficient of the target microelement point based on the quantitative relationship model; the target microelement point is any one of the plurality of microelement points; based on the target friction coefficient, calculating a first evaluation parameter of the mechanical stability of the target microelement point, and calculating a second evaluation parameter of the sealing capacity of the target microelement point according to the target shale content, comprising: calculating the over-fault pressure difference of the target microelement point according to the target shale content; extracting the formation pressure of the target microelement point from the target logging data of the target microelement point; the target logging data is obtained by logging the target microelement point; based on the over-fault pressure difference and the formation pressure, calculating the second evaluation parameter of the sealing capacity of the target microelement point; based on the first evaluation parameter and the second evaluation parameter, determining the ultimate pressure-bearing capacity of the target microelement point, comprising: comparing the first evaluation parameter and the second evaluation parameter to determine the smaller value of the first evaluation parameter and the second evaluation parameter; based on the smaller value, determining the ultimate pressure-bearing capacity of the target microelement point.

2. The fault seal capacity evaluation method according to claim 1, characterized in that, The method for calculating the first evaluation parameter of the mechanical stability of the target microelement point based on the target friction coefficient comprises the following steps: obtaining stress data of the extensional stress fault region; the stress data comprises normal stress and shear stress of the target microelement point; based on the Mohr-Coulomb failure criterion, calculating the first evaluation parameter of the mechanical stability of the target microelement point by the target friction coefficient, the normal stress and the shear stress.

3. The fault seal capacity evaluation method according to claim 1, characterized in that, The quantitative relationship model is: ； wherein, is the friction coefficient, denotes the shale content in the logging data, , and are model parameters to be fitted.

4. The fault seal capacity evaluation method according to claim 1, characterized in that, Before the step of constructing a quantitative relationship model between the friction coefficient and the shale content based on logging data of an extensional stress fault region to be evaluated, the method further comprises the following steps: dividing the extensional stress fault region to be evaluated into microelements to obtain a plurality of fault microelements; sampling based on the plurality of fault microelements to obtain sampling points; logging the sampling points to obtain logging data.

5. The fault seal capacity evaluation method of claim 1, wherein, The first evaluation parameter is: The second evaluation parameter is: Wherein, represents the normal stress of the target micro-element point, represents the shear stress of the target micro-element point, is the target friction coefficient of the target micro-element point; represents the formation pressure of the target micro-element point, represents the pressure difference across the fault of the target micro-element point.

6. A fault trap capacity evaluation device, characterized by, The method for evaluating the fault sealing capacity comprises the following steps: a model construction module is configured to construct a quantitative relationship model between the friction coefficient and the shale content based on logging data of an extensional stress fault region to be evaluated; the quantitative relationship model represents a functional relationship between the friction coefficient and the shale content, the extensional stress fault region comprises a plurality of microelement points, and the logging data is obtained by sampling and logging the plurality of microelement points; The model application module is configured to extract a target shale content of a target microelement point and calculate a target friction coefficient of the target microelement point based on the quantitative relationship model; the target microelement point is any one of the plurality of microelement points; The first evaluation module is configured to calculate a first evaluation parameter of mechanical stability of the target microelement point based on the target friction coefficient and calculate a second evaluation parameter of sealing capacity of the target microelement point according to the target shale content; The second evaluation module is configured to determine a limit pressure-bearing capacity of the target microelement point based on the first evaluation parameter and the second evaluation parameter.

7. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the fault trap capacity evaluation method according to any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the fault trap capacity evaluation method according to any one of claims 1 to 5.

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