Method, device, equipment, medium and product for evaluating stress barrier crack resistance

Abstract

This invention relates to the field of oil and gas field development technology, and provides a method, apparatus, equipment, medium, and product for evaluating the fracturing capacity of stress barriers. The method for evaluating the fracturing capacity of stress barriers involves deriving differences in in-situ stress parameters, mechanical property parameters, and bedding property parameters from basic in-situ stress parameters, mechanical property parameters, and bedding property parameters; deriving evaluation parameters for in-situ stress difference, mechanical property difference, and bedding property difference from these parameters; and finally, determining the fracturing level from these evaluation parameters. By incorporating in-situ stress, mechanical properties, and bedding characteristics into the evaluation system, a multi-factor comprehensive evaluation is achieved, improving the reliability of the evaluation conclusions.

Description

Technical Field

[0001] This invention relates to the field of oil and gas field development technology, and is a method for evaluating the fracturing resistance of stress barriers. It also includes a device for evaluating the fracturing resistance of stress barriers, electronic equipment, computer-readable storage media, and computer program products. Background Technology

[0002] Shale gas, as an important unconventional natural gas resource, plays a crucial role in ensuring energy security through its efficient development. Hydraulic fracturing technology is the core technology for shale gas development, enhancing gas permeability and recovery by creating a complex network of fractures within the reservoir. However, controlling the vertical propagation of fractures is a critical challenge during fracturing. Excessive upward or downward propagation of fractures can penetrate interlayers, leading to fracturing fluid loss, proppant embedding, and even water penetration, severely impacting fracturing effectiveness and wellbore safety. Stress interlayers are sections located above or below the reservoir with high geostress or strong rock mechanical properties, capable of hindering the vertical propagation of fractures. Accurately evaluating the fracturing resistance of stress interlayers is essential for optimizing fracturing design, controlling fracture geometry, and improving fracturing success rates.

[0003] Patent application CN121205608A discloses a method for fracturing and stratifying thin interbedded reservoirs. This method involves calculating the minimum horizontal in-situ stress of each sub-layer within the thin interbedded reservoir based on single-well logging curves, and calculating the reservoir-interstitial stress difference between layers 1 to N from top to bottom. If the reservoir-interstitial stress difference is less than ΔP (threshold), the reservoir and interstitial layer are combined into one layer for fracturing. If the reservoir-interstitial stress difference is greater than or equal to ΔP and the interstitial layer thickness is greater than or equal to 4.5m, the interstitial layer is used as a shielding layer for stratified fracturing of the layers above and below it. This paper determines whether the interstitial layer can function as a shielding layer and identifies reasonable stratification locations solely by calculating the reservoir-interstitial stress difference data.

[0004] Patent application CN120014190A discloses a three-dimensional geological modeling method, system, and medium for natural fractures in reservoirs. From a three-dimensional coupling perspective, it achieves tectonic unit partitioning through multi-scale analysis of fracture density distribution and dynamic stress field, enabling the model to effectively reflect the spatial response relationship between fracture propagation paths and stress barriers. This paper evaluates the fracture-resistant capacity of barriers through multi-scale analysis of fracture density distribution and stress field.

[0005] Current methods for evaluating the fracturing resistance of stress barriers do not fully consider the influence of the unique bedding structure of shale, resulting in a low accuracy rate in evaluating the fracturing resistance of stress barriers. Summary of the Invention

[0006] This invention provides a method, apparatus, equipment, medium, and product for evaluating the crack resistance capacity of stress barriers. It can effectively solve the problem that existing methods for evaluating the crack resistance capacity of stress barriers do not fully consider the influence of the unique bedding structure of shale, resulting in low evaluation accuracy.

[0007] One of the technical solutions of this invention is achieved through the following measures: a method for evaluating the crack resistance capability of a stress barrier, comprising: Obtain the basic geostress parameters, basic mechanical property parameters, and basic stratification property parameters corresponding to the stress barrier and the target reservoir, respectively; Based on the basic parameters of geostress, the basic parameters of mechanical properties, and the basic parameters of bedding properties, the differences in geostress parameters, mechanical property parameters, and bedding property parameters are obtained. Based on the differences in the geostress parameters, the mechanical property parameters, and the bedding property parameters, we obtain the geostress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters. Based on the evaluation parameters of geostress difference, mechanical property difference, and bedding property difference, the barrier level is obtained. The fracturing resistance of the stress barrier is evaluated based on the barrier level. The fracturing resistance of the stress barrier is divided into different levels of fracturing resistance, and the barrier level is divided into different barrier levels. Different barrier levels correspond to different levels of fracturing resistance.

[0008] The following are further optimizations and / or improvements to one of the above-mentioned technical solutions: Further, the barrier level is obtained based on the ground stress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters, including: Based on the evaluation parameters for differences in geostress, mechanical properties, and bedding properties, a symmetric evaluation matrix is ​​obtained. Based on the symmetric evaluation matrix, the weight coefficients corresponding to the geostress difference evaluation parameter, the mechanical property difference evaluation parameter, and the bedding property difference evaluation parameter are obtained respectively. The target evaluation parameters are obtained based on the weight coefficients corresponding to the ground stress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters, respectively. The barrier level is obtained based on the target evaluation parameters and the preset threshold.

[0009] Furthermore, the aforementioned preset thresholds include a first preset threshold and a second preset threshold, and the barrier levels include a first target barrier level, a second target barrier level, and a third target barrier level; Accordingly, obtaining the barrier level based on the target evaluation parameters and the preset threshold includes: When the target evaluation parameter is less than the first preset threshold, the barrier level of the stress barrier layer is determined to be the first target barrier level; When the target evaluation parameter is greater than or equal to the first preset threshold and less than the second preset threshold, the barrier level of the stress barrier is determined to be the second target barrier level. When the target evaluation parameter is greater than or equal to the second preset threshold, the barrier level of the stress barrier is determined to be the third target barrier level; The crack resistance capability of the stress barrier is evaluated based on the aforementioned barrier level, including: When the barrier level of the stress barrier is the first target barrier level, the crack resistance of the stress barrier is weak. When the barrier level of the stress barrier is the second target barrier level, the crack resistance of the stress barrier is medium. When the barrier level of the stress barrier is the third target barrier level, the crack resistance of the stress barrier is strong.

[0010] Further, the step of obtaining a symmetric evaluation matrix based on the geostress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters includes: Based on the ground stress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters, the ground stress and mechanical property coupling difference evaluation parameters, the ground stress and bedding property coupling difference evaluation parameters, and the mechanical property and bedding property coupling difference evaluation parameters are obtained. Based on the evaluation parameters for the coupling difference between geostress and mechanical properties, the evaluation parameters for the coupling difference between geostress and bedding properties, the evaluation parameters for the coupling difference between mechanical properties and bedding properties, the evaluation parameters for the difference in geostress, the evaluation parameters for the difference in mechanical properties, and the evaluation parameters for the difference in bedding properties, a symmetric evaluation matrix is ​​obtained; The symmetric evaluation matrix is ​​in the form of: Where A is a symmetric evaluation matrix; I SM Parameters for evaluating the coupling difference between geostress and mechanical properties; I SL For evaluating the difference in coupling between geostress and bedding properties; I ML Parameters for evaluating the coupling difference between mechanical properties and bedding properties; I S For evaluating geostress differences; I M For evaluating differences in mechanical properties; I L These are parameters for evaluating differences in stratification properties.

[0011] Further, the step of obtaining the weight coefficients corresponding to the geostress difference evaluation parameter, the mechanical property difference evaluation parameter, and the bedding property difference evaluation parameter based on the symmetric evaluation matrix includes: Based on the symmetric evaluation matrix, the eigenvectors corresponding to the target eigenvalues ​​of the symmetric evaluation matrix are obtained; Based on the eigenvectors corresponding to the target eigenvalues ​​of the symmetric evaluation matrix, the weight coefficients corresponding to the geostress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters are obtained respectively. When the target feature value is the maximum feature value, the calculation formulas for the weight coefficients corresponding to the geostress difference evaluation parameter, mechanical property difference evaluation parameter, and bedding property difference evaluation parameter are as follows: Where w1 is the weight coefficient corresponding to the evaluation parameter of geostress difference; w2 is the weight coefficient corresponding to the evaluation parameter of mechanical property difference; w3 is the weight coefficient corresponding to the evaluation parameter of bedding property difference; ξ1 is the geostress factor component in the eigenvector corresponding to the largest eigenvalue of the symmetric evaluation matrix; ξ2 is the mechanical property factor component in the eigenvector corresponding to the largest eigenvalue of the symmetric evaluation matrix; and ξ3 is the bedding property factor component in the eigenvector corresponding to the largest eigenvalue of the symmetric evaluation matrix.

[0012] S1 Further, the above-mentioned basic parameters of geostress include vertical geostress, first target principal stress and second target principal stress, basic parameters of mechanical properties include brittleness index, compressive strength, elastic modulus, Poisson's ratio and fracture toughness, and basic parameters of bedding properties include bedding density, bedding thickness and bedding cementation strength. Accordingly, obtaining the difference values ​​of the geostress parameters, mechanical properties, and bedding properties based on the geostress fundamental parameters, the mechanical property fundamental parameters, and the bedding property fundamental parameters includes: Based on the vertical ground stress, the first target principal stress, the second target principal stress, the brittleness index, the compressive strength, the elastic modulus, the Poisson's ratio, the fracture toughness, the bedding density, the bedding thickness, and the bedding cementation strength, the difference values ​​of the ground stress parameters, the difference values ​​of the mechanical property parameters, and the difference values ​​of the bedding property parameters are obtained using the range normalization method.

[0013] The second technical solution of the present invention is achieved through the following measures: a device for evaluating the crack resistance capability of a stress barrier, comprising: The basic parameter acquisition module is used to acquire the basic geostress parameters, basic mechanical property parameters, and basic bedding property parameters corresponding to the stress barrier and the target reservoir, respectively. The parameter difference value acquisition module is used to obtain the difference values ​​of the ground stress parameters, the difference values ​​of the mechanical properties parameters, and the difference values ​​of the bedding properties parameters based on the ground stress basic parameters, the mechanical property basic parameters, and the bedding property basic parameters. The difference evaluation parameter acquisition module is used to obtain the geostress difference evaluation parameter, the mechanical property difference evaluation parameter, and the bedding property difference evaluation parameter based on the difference values ​​of the geostress parameter, the mechanical property parameter, and the bedding property parameter; The evaluation module is used to obtain the barrier level based on the geostress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters, so as to evaluate the crack resistance capability of the stress barrier layer based on the barrier level. The crack resistance capability of the stress barrier layer is divided into different levels of crack resistance capability, and the barrier level is divided into different barrier levels, with different barrier levels corresponding to different levels of crack resistance capability.

[0014] The third technical solution of the present invention is achieved through the following measures: an electronic device, comprising: a processor and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to implement the stress isolation layer crack resistance evaluation method.

[0015] The fourth technical solution of the present invention is achieved through the following measures: a computer-readable storage medium, comprising: computer-executable instructions stored in the computer-readable storage medium, wherein the computer-executable instructions are used to implement the stress isolation layer crack resistance evaluation method when executed by a processor.

[0016] The fifth technical solution of the present invention is achieved through the following measures: a computer program product, including a computer program, which, when executed by a processor, is used to implement the method for evaluating the crack resistance capability of the stress barrier.

[0017] The effective effects of this invention are as follows: In the evaluation of the fracturing resistance of stress barriers, basic parameters of geostress, mechanical properties, and bedding properties are used as fundamental data. Based on these basic parameters, evaluation parameters for differences in geostress, mechanical properties, and bedding properties are obtained, thereby determining the barrier level to evaluate the fracturing resistance of the stress barrier. This approach incorporates the three core influencing factors of geostress, rock mechanical properties, and bedding characteristics into the evaluation system, fully combining the inherent geological characteristics of shale reservoirs to achieve a comprehensive multi-factor evaluation. This effectively solves the limitations of relying on a single factor for evaluation and can comprehensively and realistically characterize the intrinsic mechanism by which stress barriers block fracture propagation. This ensures that the evaluation results are highly consistent with actual field engineering practices, significantly improving the reliability and engineering guidance of the evaluation conclusions. Attached Figure Description

[0018] Appendix Figure 1 A schematic diagram illustrating an application scenario for the crack resistance evaluation method of a stress barrier layer provided in this application; Appendix Figure 2 A flowchart illustrating a method for evaluating the crack resistance capability of a stress barrier provided in this application embodiment. Figure 1 ; Appendix Figure 3 A flowchart illustrating a method for evaluating the crack resistance capability of a stress barrier provided in this application embodiment. Figure 2 ; Appendix Figure 4 A schematic diagram of the structure of a stress barrier crack resistance evaluation device provided in an embodiment of this application; Appendix Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0019] Explanation of reference numerals in the attached figures: 110 - Terminal; 120 - Server; 801 - Processor; 802 - Memory; 803 - Communication Components; 804 - Bus. Detailed Implementation

[0020] The present invention is not limited to the following embodiments, and the specific implementation can be determined according to the technical solution of the present invention and the actual situation.

[0021] In the embodiments of this application, the terms "first" and "second" are used to distinguish identical or similar items with substantially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that "first" and "second" do not necessarily imply difference. It should be noted that in the embodiments of this application, words such as "exemplary" or "for example" are used to indicate that something is being used as an example, illustration, or description. Any embodiment or design scheme described as "for example" in this application should not be construed as being better or more advantageous than other embodiments or design schemes. Specifically, the use of words such as "for example" is intended to present the relevant concepts in a concrete manner. In the embodiments of this application, "at least one" refers to one or more, and "more than one" refers to two or more.

[0022] A refined design scenario for hydraulic fracturing engineering in shale gas reservoirs: In this scenario, engineers face a reservoir geological body characterized by low porosity, low permeability, and extremely high heterogeneity. The core objective of this scenario is to create a complex fracture network in the shale reservoir through hydraulic fracturing to achieve economical production capacity. However, it is crucial to strictly prevent excessive fracture extension that penetrates the stress barriers above and below, avoiding communication with the aquifer or ineffective filtration of fracturing fluid. This application provides a method, apparatus, equipment, medium, and product for evaluating the fracturing resistance of stress barriers, which can accurately assess the fracturing resistance of stress barriers, making it particularly suitable for shale gas reservoirs, thereby achieving safe, efficient, and precise development.

[0023] like Figure 1 As shown, this invention provides an application scenario for a method to evaluate the fracturing capacity of a stress barrier, including: a terminal 110 and a server 120. The terminal 110 can be a client that initiates the fracturing capacity evaluation process for the stress barrier. The server 120 is used to control and obtain evaluation parameters for geostress differences, mechanical property differences, and bedding property differences, and to obtain the fracturing level based on these evaluation parameters.

[0024] The present invention will be further described below with reference to embodiments: like Figure 2 As shown, the method for evaluating the crack resistance capability of the stress barrier provided in this embodiment includes the following steps: S101. Obtain the basic parameters of geostress, mechanical properties, and bedding properties corresponding to the stress barrier and the target reservoir, respectively.

[0025] In this embodiment, the target reservoir is a shale reservoir adjacent to a stress barrier. First, the basic parameters of geostress, mechanical properties, and bedding properties corresponding to the shale reservoir and the corresponding stress barrier are obtained. All basic parameters must be obtained through standardized testing methods to ensure their accuracy and reliability, providing a solid data foundation for subsequent evaluation calculations. All three types of basic parameters are indispensable and together constitute the basic data for the evaluation.

[0026] S102. Based on the basic parameters of geostress, mechanical properties, and bedding properties, obtain the differences in geostress parameters, mechanical properties, and bedding properties.

[0027] In this embodiment, after obtaining the basic parameters of geostress, mechanical properties, and bedding properties, the differences in geostress parameters, mechanical properties, and bedding properties, which characterize the degree of difference between the target reservoir and the stress barrier, are calculated respectively. The magnitude of the parameter difference value directly reflects the difference between the stress barrier and the target reservoir in the corresponding parameters. The greater the difference, the stronger the fracture resistance potential of the stress barrier is usually.

[0028] To eliminate the influence of different dimensions of parameters and ensure the comparability of differences between various parameters, this application employs a range normalization method to calculate parameter differences. This method effectively eliminates the influence of different dimensions between parameters, ensuring that the differences between various parameters have a unified comparability standard. This method can uniformly normalize parameter differences of different dimensions and orders of magnitude. The calculation formula is as follows: Among them, S i The difference in geostress parameters; M i The difference in mechanical property parameters; L i S represents the difference in stratification property parameters. bi For the ground stress foundation parameters of the stress diaphragm; S ri M represents the basic geostress parameters of the target reservoir. bi The fundamental mechanical properties of the stress-retaining layer; M ri The fundamental mechanical properties of the target reservoir; L bi The basic parameters for the bedding properties of stress-retaining layers; L ri n1 represents the basic parameters of the bedding properties of the target reservoir; n1 represents the number of basic parameters of the corresponding class.

[0029] S103. Based on the differences in geostress parameters, mechanical property parameters, and bedding property parameters, obtain the geostress difference evaluation parameters, mechanical property difference evaluation parameters, and bedding property difference evaluation parameters.

[0030] In this embodiment, after obtaining the differences in geostress parameters, mechanical property parameters, and bedding property parameters, the geostress difference evaluation parameters, mechanical property difference evaluation parameters, and bedding property difference evaluation parameters characterizing the ability of the stress barrier to prevent fracture propagation are calculated respectively. These evaluation parameters can comprehensively reflect the overall difference level between the barrier and the reservoir in a certain type of parameter, providing a basis for subsequent comprehensive evaluation.

[0031] To comprehensively consider the impact of all differences in a particular parameter class and avoid interference from abnormal fluctuations of a single difference value in the evaluation results, the geometric mean method is used to calculate the evaluation parameters. This method effectively balances the weights of various differences, ensuring the stability and reliability of the evaluation parameters. The formula is as follows: Among them, I S For evaluating geostress differences; I M For evaluating differences in mechanical properties; I L S is a parameter for evaluating differences in stratification properties. i The difference in geostress parameters; M i The difference in mechanical property parameters; L in1 represents the difference value of the stratification property parameter; n2 represents the number of the difference values ​​of the corresponding class parameter.

[0032] The evaluation parameters for geostress difference comprehensively reflect the overall difference in geostress parameters between the interlayer and the reservoir. The larger the value, the greater the contribution of geostress to fracturing resistance. The evaluation parameters for mechanical property difference comprehensively reflect the overall difference in mechanical properties between the interlayer and the reservoir. The larger the value, the greater the contribution of mechanical properties to fracturing resistance. The evaluation parameters for bedding property difference comprehensively reflect the overall difference in bedding properties between the interlayer and the reservoir. The larger the value, the greater the contribution of bedding structure to fracturing resistance.

[0033] S104. Based on the evaluation parameters of geostress difference, mechanical property difference, and bedding property difference, the barrier level is obtained. The fracturing resistance of the stress barrier is evaluated according to the barrier level. The fracturing resistance of the stress barrier is divided into different levels of fracturing resistance, and the barrier level is divided into different barrier levels. Different barrier levels correspond to different levels of fracturing resistance.

[0034] In this embodiment, after obtaining the barrier level based on the evaluation parameters of geostress difference, mechanical property difference, and bedding property difference, the crack resistance capability of the stress barrier can be evaluated based on the barrier level.

[0035] This application selects a target reservoir and corresponding stress barrier in an actual shale gas field to verify the scientific validity and practicality of the evaluation method in this application, and to ensure that the evaluation method can meet the needs of engineering applications.

[0036] In the evaluation process, basic parameters of geostress, mechanical properties, and bedding properties are used as fundamental data. Based on these basic parameters, evaluation parameters for differences in geostress, mechanical properties, and bedding properties are obtained, thereby determining the barrier level to evaluate the fracture-preventing capacity of the stress barrier. By incorporating the three core influencing factors of geostress, rock mechanical properties, and bedding characteristics into the evaluation system, and fully combining the inherent geological characteristics of shale reservoirs, a multi-factor comprehensive evaluation is achieved. This effectively solves the limitations of relying on a single parameter for evaluation, and at the same time, it can comprehensively and realistically characterize the intrinsic mechanism of stress barrier in preventing fracture propagation. This ensures that the evaluation results are highly consistent with the actual field engineering, significantly improving the reliability and engineering guidance of the evaluation conclusions.

[0037] like Figure 3 As shown, the stress barrier fracturing capability evaluation method provided in this embodiment, in step S104, obtains the fracturing level based on the ground stress difference evaluation parameters, mechanical property difference evaluation parameters, and bedding property difference evaluation parameters, and specifically includes the following steps: S201. Based on the evaluation parameters of ground stress difference, mechanical property difference, and bedding property difference, a symmetric evaluation matrix is ​​obtained.

[0038] In this embodiment, a symmetric evaluation matrix is ​​constructed based on the evaluation parameters of geostress difference, mechanical property difference, and bedding property difference. The symmetric evaluation matrix is ​​a 3×3 order symmetric matrix.

[0039] S202. Based on the symmetric evaluation matrix, obtain the weight coefficients corresponding to the evaluation parameters of geostress difference, mechanical property difference, and bedding property difference.

[0040] In this embodiment, since the three major categories of factors—geo-stress, mechanical properties, and bedding properties—have different degrees of influence on the stress barrier's fracturing capability, it is necessary to determine the weight coefficients corresponding to each type of differential evaluation parameter based on the symmetric evaluation matrix to reflect the importance of different factors.

[0041] S203. Based on the weight coefficients corresponding to the evaluation parameters of ground stress difference, mechanical property difference, and bedding property difference, the target evaluation parameters are obtained.

[0042] In this embodiment, the target evaluation parameter is a comprehensive evaluation parameter. After obtaining the weight coefficients corresponding to the in-situ stress difference evaluation parameter, the mechanical property difference evaluation parameter, and the bedding property difference evaluation parameter, a comprehensive evaluation parameter characterizing the fracture barrier's effect on fracture prevention is calculated by weighted summation based on the in-situ stress difference evaluation parameter, the mechanical property difference evaluation parameter, and the bedding property difference evaluation parameter, and their corresponding weight coefficients. This comprehensive evaluation parameter can comprehensively and quantitatively reflect the overall fracture prevention capability of the stress barrier. The formula for calculating the comprehensive evaluation parameter is: Among them, I w For comprehensive evaluation parameters, the larger the value, the greater the difference between the stress barrier and the reservoir, and the stronger the fracturing resistance of the stress barrier; w1 is the weighting coefficient corresponding to the geostress difference evaluation parameter; w2 is the weighting coefficient corresponding to the mechanical property difference evaluation parameter; w3 is the weighting coefficient corresponding to the bedding property difference evaluation parameter; I S For evaluating geostress differences; I M For evaluating differences in mechanical properties; I L These are parameters for evaluating differences in stratification properties.

[0043] S204. Obtain the barrier level based on the target evaluation parameters and preset thresholds.

[0044] In this embodiment, different barrier levels can be obtained based on the target evaluation parameters and preset thresholds.

[0045] By using a symmetrical evaluation matrix, multi-dimensional and complex evaluation indicators are transformed into quantifiable weight coefficients, thus forming a single comprehensive evaluation parameter. This effectively avoids the one-sidedness of evaluation based on a single indicator. Finally, by combining preset thresholds to classify barrier levels, the evaluation results become more objective, intuitive, and comparable, providing a scientific and unified quantitative basis for subsequent decision-making or hierarchical management.

[0046] Based on the above embodiments, the stress barrier crack resistance evaluation method provided in this embodiment includes a first preset threshold and a second preset threshold, and the barrier level includes a first target barrier level, a second target barrier level, and a third target barrier level. S204 includes the following steps: S301. When the target evaluation parameter is less than the first preset threshold, the barrier level of the stress barrier is determined to be the first target barrier level.

[0047] In this embodiment, based on the target evaluation parameter I w The value is used to classify and evaluate the fracturing resistance capability of the stress barrier. The I value is set in advance based on the actual geological characteristics of different shale gas fields, fracturing construction experience, and engineering requirements. w The reasonable threshold range of the value is used to classify the crack resistance capability of the stress barrier into three levels: strong, medium, and weak, so that engineering technicians can apply it quickly.

[0048] The first preset threshold is 0.4, and the second preset threshold is 0.7. No specific restrictions are placed on the values ​​of the first and second preset thresholds. Based on the relationship between the target evaluation parameter and the first and second preset thresholds, option S301, S302, or S303 is selected for execution.

[0049] As an optional implementation, 0.4 is preset as the first preset threshold and 0.7 as the second preset threshold. This is typically based on the following specific steps: First, collect geological and engineering data from a large number of fractured wells in the study area, including measured in-situ stresses of stress-resistant layers in each well, rock mechanics and bedding parameters, and the longitudinal extension height of fractures interpreted by microseismic monitoring during the corresponding fracturing operation; then, use this evaluation method to calculate the target evaluation parameter I for each well. w The results were compared and analyzed with actual microseismic monitoring data to identify critical I-type fractures that occurred across layers and those that successfully confined the fractures within the producing layer. w Value; by statistically analyzing a large number of samples, plot I w The curve showing the relationship between the value and the probability of crack penetration is presented, and the values ​​of I at which the failure and effective conversion probabilities are compared are also shown. w The initial value was determined as the threshold cutoff point; then, combined with engineering requirements and risk preferences, different I values ​​were simulated through numerical simulation. wThe stress barrier's crack-resistant capacity under typical construction displacement was verified. The first preset threshold was calibrated to 0.4 and the second preset threshold was calibrated to 0.7, thus forming a quantitative boundary for distinguishing weak, medium, and strong barrier capabilities in the target evaluation parameters.

[0050] In the target evaluation parameter I w When the pressure is less than 0.4, the stress barrier is classified as the first target barrier level, i.e., a weak barrier level. Such stress barriers are unlikely to effectively prevent longitudinal fracture propagation and require additional anti-channeling measures. For example, in terms of fracturing parameters, a mild fracturing strategy of "small displacement, low sand ratio, and controlled scale" should be adopted to reduce net pressure and avoid breaking through the barrier. In terms of engineering measures, "controlling near-field expansion and extending far-field" temporary plugging and diversion fracturing can be considered, using temporary plugging agents to seal micro-fractures or old fractures near the wellbore, forcing fluid to divert and reactivate insufficiently reactivated areas, avoiding excessive extension of a single fracture. In terms of well completion design, the perforation scheme can be optimized, adopting "few clusters, limited flow" perforations or increasing the perforation cluster spacing between the producing layers above and below the barrier to leave a safety margin for vertical fracture extension. If conditions permit, the fracturing layer position can also be adjusted to avoid such weak barrier sections as much as possible.

[0051] S302. When the target evaluation parameter is greater than or equal to the first preset threshold and less than the second preset threshold, the barrier level of the stress barrier is determined to be the second target barrier level.

[0052] In this embodiment, the target evaluation parameter I w When the stress barrier is greater than or equal to 0.4 and less than 0.7, it is judged to be the second target barrier level, i.e., the medium barrier level. This type of stress barrier has a certain blocking effect on the longitudinal propagation of fractures, but the fracturing parameters need to be optimized to ensure the fracturing effect. For example, an injection procedure of "medium displacement and stepped sand addition" is adopted, the construction pressure curve is monitored in real time, and the net pressure is strictly controlled below the critical breakthrough pressure of the barrier; the viscosity and filtration performance of the fracturing fluid are optimized to form a more effective filter cake to reduce the direct impact on the barrier; at the same time, combined with three-dimensional fracture propagation simulation software, the perforation cluster spacing, fluid intensity and proppant concentration are iteratively optimized to find the optimal construction window that can fully transform the producing layer without breaking the barrier, so as to achieve the sealing integrity of the barrier while ensuring the complexity of the fracture.

[0053] S303. When the target evaluation parameter is greater than or equal to the second preset threshold, the barrier level of the stress barrier is determined to be the third target barrier level.

[0054] In this embodiment, the target evaluation parameter I wWhen the stress level is greater than or equal to 0.7, the stress barrier is classified as the third target barrier level, i.e., a strong barrier level. This type of stress barrier can effectively block the longitudinal propagation of fractures and can be used as a preferred fracturing barrier. For example, specific measures include: adopting enhanced fracturing parameters of "large displacement, high sand ratio, and large scale" to significantly increase the net pressure inside the fracture, striving to create a complex fracture network within the producing formation while fully utilizing the shielding effect of the strong barrier to achieve controlled fracture height; appropriately reducing the perforation cluster spacing to improve the precision of producing formation stimulation and the overall drainage area; and, based on the reliability of the barrier, considering increasing the scale of single-stage fracturing or appropriately shortening the interlayer length, thereby maximizing the fracturing stimulation intensity and final recovery rate while ensuring the integrity of the barrier seal.

[0055] By setting multiple tiered threshold ranges for the target evaluation parameters, the level of barrier is quantified and graded. This classification method not only intuitively and clearly defines the boundaries of different performance levels, making the evaluation results more interpretable and discriminative, but also facilitates the implementation of differentiated management strategies or countermeasures according to different levels, thereby improving the practicality of the evaluation system and the scientific nature of decision-making.

[0056] Based on the above embodiments, the method for evaluating the crack resistance capability of stress barriers provided in this embodiment includes the following steps in step S201: S401. Based on the evaluation parameters of geostress difference, mechanical property difference, and bedding property difference, the evaluation parameters of geostress-mechanical property coupling difference, geostress-bedding property coupling difference, and mechanical property-bedding property coupling difference are obtained.

[0057] In this embodiment, in order to fully consider the coupling effect among the three major categories of factors—in-situ stress, mechanical properties, and bedding properties—a symmetrical evaluation matrix is ​​constructed, with the in-situ stress difference evaluation parameters, mechanical property difference evaluation parameters, and bedding property difference evaluation parameters as diagonal elements, and the coupling difference evaluation parameters formed by their pairwise combinations as off-diagonal elements. The symmetrical evaluation matrix can comprehensively characterize the combined influence of the three major categories of factors and their coupling effects on the stress barrier's fracturing resistance.

[0058] The coupling difference evaluation parameter is used to characterize the degree of interaction and synergistic influence between two types of factors—in-situ stress, mechanical properties, and bedding properties—on the fracturing resistance capacity of the interlayer. Its calculation formula is as follows: Among them, I SM Parameters for evaluating the coupling difference between geostress and mechanical properties; I SL For evaluating the difference in coupling between geostress and bedding properties; I ML Parameters for evaluating the coupling difference between mechanical properties and bedding properties; I S For evaluating geostress differences; IM For evaluating differences in mechanical properties; I L These are parameters for evaluating differences in stratification properties.

[0059] Evaluation parameters for the coupling difference between geostress and mechanical properties characterize the influence of the synergistic effect of geostress and mechanical properties on the fracturing resistance of the interlayer; evaluation parameters for the coupling difference between geostress and bedding properties characterize the influence of the synergistic effect of geostress and bedding properties on the fracturing resistance of the interlayer; evaluation parameters for the coupling difference between mechanical properties and bedding properties characterize the influence of the synergistic effect of mechanical properties and bedding properties on the fracturing resistance of the interlayer.

[0060] S402. Based on the evaluation parameters of the coupling difference between geostress and mechanical properties, the evaluation parameters of the coupling difference between geostress and bedding properties, the evaluation parameters of the coupling difference between mechanical properties and bedding properties, the evaluation parameters of geostress difference, the evaluation parameters of mechanical property difference, and the evaluation parameters of bedding property difference, a symmetric evaluation matrix is ​​obtained.

[0061] In this embodiment, the evaluation parameter I based on the coupling difference between geostress and mechanical properties is used. SM Evaluation parameter I for the coupling difference between geostress and bedding properties SL Evaluation parameter I for the coupling difference between mechanical properties and bedding properties ML Evaluation parameters of geostress difference I S Evaluation parameter I for differences in mechanical properties M Evaluation parameter I for differences in bedding properties L The constructed symmetric evaluation matrix takes the following form: Where A is a symmetric evaluation matrix; I SM Parameters for evaluating the coupling difference between geostress and mechanical properties; I SL For evaluating the difference in coupling between geostress and bedding properties; I ML Parameters for evaluating the coupling difference between mechanical properties and bedding properties; I S For evaluating geostress differences; I M For evaluating differences in mechanical properties; I L These are parameters for evaluating differences in stratification properties.

[0062] The symmetric evaluation matrix is ​​a 3×3 symmetric matrix. The diagonal elements are single difference evaluation parameters of each type of factor, and the off-diagonal elements are coupled difference evaluation parameters of two types of factors, which comprehensively covers the influence of each of the three types of factors and the mutual coupling effect among them.

[0063] By constructing a symmetric evaluation matrix, we can not only systematically integrate the core evaluation parameters of the three independent dimensions of geostress, mechanical properties and bedding properties, but also capture and quantify the coupling effect produced by their pairwise interactions. This matrix-based processing method can more comprehensively and realistically reflect the complexity of the mutual influence of various factors under geological conditions, thereby avoiding evaluation bias caused by ignoring interactions and providing a more accurate and reliable data foundation for subsequent weight analysis and comprehensive evaluation.

[0064] Based on the above embodiments, the method for evaluating the crack resistance capability of stress barriers provided in this embodiment includes the following steps in step S202: S501. Based on the symmetric evaluation matrix, obtain the eigenvectors corresponding to the target eigenvalues ​​of the symmetric evaluation matrix.

[0065] In this embodiment, the target eigenvalue is the maximum eigenvalue. In this embodiment, the weight coefficients of each evaluation parameter are accurately determined using the eigenvector method. Specifically, the maximum eigenvalue λ of the constructed symmetric evaluation matrix is ​​calculated using a professional matrix calculation tool. max And its corresponding eigenvectors ξ = (ξ1, ξ2, ξ3). T By performing L1 norm normalization on the eigenvector, the weight coefficients corresponding to the geostress difference evaluation parameters, mechanical property difference evaluation parameters, and stratification property difference evaluation parameters can be obtained. This method can scientifically and objectively determine the weights of each factor and avoid errors from subjective experience judgment.

[0066] S502. Based on the eigenvectors corresponding to the target eigenvalues ​​of the symmetric evaluation matrix, obtain the weight coefficients corresponding to the geostress difference evaluation parameters, mechanical property difference evaluation parameters, and stratification property difference evaluation parameters, respectively.

[0067] In this embodiment, the calculation formulas for the weight coefficients corresponding to the geostress difference evaluation parameter, the mechanical property difference evaluation parameter, and the bedding property difference evaluation parameter are as follows: Wherein, w1 is the weighting coefficient corresponding to the geostress difference evaluation parameter, representing the influence weight of geostress factors on the fracturing resistance of stress barriers; w2 is the weighting coefficient corresponding to the mechanical property difference evaluation parameter, representing the influence weight of mechanical property factors on the fracturing resistance of stress barriers; w3 is the weighting coefficient corresponding to the bedding property difference evaluation parameter, representing the influence weight of bedding property factors on the fracturing resistance of stress barriers; ξ1 is the geostress factor component in the eigenvector corresponding to the largest eigenvalue of the symmetric evaluation matrix; ξ2 is the mechanical property factor component in the eigenvector corresponding to the largest eigenvalue of the symmetric evaluation matrix; and ξ3 is the bedding property factor component in the eigenvector corresponding to the largest eigenvalue of the symmetric evaluation matrix. The sum of the three weighting coefficients is 1 to ensure the rationality of the weighted calculation.

[0068] By utilizing matrix eigenvalue theory, weight coefficients reflecting the importance of each core evaluation parameter can be objectively and quantitatively extracted from a complex symmetric evaluation matrix. By obtaining the eigenvector corresponding to the largest eigenvalue, the dominant indicator combination that contributes the most and contains the richest information in the comprehensive evaluation system can be automatically identified, avoiding the subjectivity of human weighting. The resulting weight coefficients corresponding to the geostress difference evaluation parameters, mechanical property difference evaluation parameters, and bedding property difference evaluation parameters are more consistent with the internal logical relationship of the data itself, thus ensuring the accuracy and scientific nature of the subsequent comprehensive evaluation.

[0069] Based on the above embodiments, the stress barrier fracture resistance evaluation method provided in this embodiment includes the following basic parameters: vertical stress, first target principal stress, and second target principal stress; basic mechanical property parameters: brittleness index, compressive strength, elastic modulus, Poisson's ratio, and fracture toughness; and basic bedding property parameters: bedding density, bedding thickness, and bedding cementation strength. S102 includes the following steps: S601. Based on the vertical ground stress, the first target principal stress, the second target principal stress, the brittleness index, the compressive strength, the elastic modulus, Poisson's ratio, the fracture toughness, the bedding density, the bedding thickness, and the bedding cementation strength, the difference values ​​of the ground stress parameters, the difference values ​​of the mechanical property parameters, and the difference values ​​of the bedding property parameters are obtained using the range normalization method.

[0070] In this embodiment, the first target principal stress is the maximum horizontal principal stress, the second target principal stress is the minimum horizontal principal stress, and the vertical stress, the maximum horizontal principal stress, and the minimum horizontal principal stress are all expressed in MPa.

[0071] As an alternative implementation method, vertical geostress, horizontal maximum principal stress, and horizontal minimum principal stress can be obtained by using sonic logging data, density logging data, and combining hydraulic fracturing tests and inversion models. Specifically: First, density logging data is used to calculate the overlying strata pressure through integration, i.e., the vertical geostress, and combined with sonic logging data to calculate the dynamic elastic parameters of the rock. Second, hydraulic fracturing test results are used as direct constraints: the instantaneous pump shutdown pressure or fracture closure pressure is accurately read from the fracturing operation curve and used as the measured value of the horizontal minimum principal stress. At the same time, based on the fracture pressure and pore pressure data, combined with the tensile strength of the rock, calibration points are provided for the inversion of the horizontal maximum principal stress. Finally, the horizontal maximum principal stress is determined through an inversion model: within the framework of a porous elastic horizontal strain model, such as the Huang model, the horizontal minimum principal stress measured by hydraulic fracturing is used as a constraint, and the elastic parameters calculated by sonic logging are used as input. The structural strain coefficient is solved through one-dimensional inversion or intelligent optimization algorithms, thereby calculating the horizontal maximum principal stress. For example, intelligent optimization algorithms can be genetic algorithms or particle swarm optimization algorithms. For example, the vertical geostress corresponding to the stress-isolating layer is 72.5 MPa, the maximum horizontal principal stress is 68.3 MPa, and the minimum horizontal principal stress is 59.7 MPa. The vertical geostress corresponding to the target reservoir is 69.2 MPa, the maximum horizontal principal stress is 61.5 MPa, and the minimum horizontal principal stress is 54.3 MPa.

[0072] As an optional implementation method, static rock mechanics parameters can be obtained through indoor core experiments, and then dynamic-static conversion can be carried out in combination with well logging data to obtain brittleness index, compressive strength, elastic modulus, Poisson's ratio and fracture toughness. For example, indoor core experiments can be uniaxial compressive tests, triaxial compressive tests, and fracture toughness tests. Here, elastic modulus and Poisson's ratio refer to static elastic modulus and static Poisson's ratio. Specifically: First, laboratory mechanical experiments are conducted on the drilled core samples. This includes obtaining the static elastic modulus, static Poisson's ratio, and compressive strength of the core samples through uniaxial or triaxial compressive strength tests, and directly measuring the fracture toughness parameters of the rock through fracture toughness tests. Then, using sonic logging and density logging data corresponding to the same layer or depth, the dynamic elastic modulus and dynamic Poisson's ratio of the formation are calculated. Finally, a correlation model, i.e., a dynamic-static conversion formula, is established based on the static mechanical parameters obtained from the laboratory experiments and the dynamic parameters calculated from the logging data. This calibrates the continuous logging dynamic data into a static elastic modulus and static Poisson's ratio profile that more closely reflects the actual formation conditions. Based on this, the brittleness index is calculated using the converted static elastic modulus and Poisson's ratio, combined with mineral composition logging or empirical formulas. For example, the obtained stress barrier corresponds to a brittleness index of 58%, a compressive strength of 89.6 MPa, an elastic modulus of 32.8 GPa, a Poisson's ratio of 0.22, and a fracture toughness of 1.85 MPa × m. 1 / 2The obtained target reservoir has a brittleness index of 48%, a compressive strength of 65.3 MPa, an elastic modulus of 25.4 GPa, a Poisson's ratio of 0.28, and a fracture toughness of 1.32 MPa × m. 1 / 2 .

[0073] As an optional implementation, bedding density, bedding thickness, and bedding cementation strength can be obtained through image recognition of high-resolution imaging logging images and laboratory experiments on oriented core samples. Specifically: First, high-resolution imaging logging is used to acquire image data of the target formation, such as electrical imaging logging. Bedding interfaces are identified based on image processing techniques, such as pixel clustering algorithms or improved Levenberg-Marquardt algorithms. Bedding density and thickness are automatically calculated through image segmentation and feature extraction, and bedding attitude information is obtained by fitting sinusoidal features from the image. Second, oriented core samples are drilled for key strata, ensuring the core direction is aligned with the formation coordinates. Mechanical experiments are conducted on samples containing obvious bedding planes in the laboratory, such as determining the shear strength of the bedding planes through direct shear tests, to obtain bedding cementation strength parameters. For example, the obtained stress barrier has a bedding density of 18 striations / m, a bedding thickness of 0.8 mm, and a bedding cementation strength of 28.5 MPa, while the obtained target reservoir has a bedding density of 32 striations / m, a bedding thickness of 1.5 mm, and a bedding cementation strength of 16.3 MPa.

[0074] In accordance with the requirements of the evaluation method in the embodiments of this application, the standardized testing process is strictly followed to systematically and accurately obtain the basic parameters of geostress, mechanical properties and bedding properties of the target reservoir and stress barrier. All parameters are obtained through mature and reliable standardized testing methods to ensure the accuracy and reliability of the parameter data, and to provide solid and effective basic data support for subsequent calculation and evaluation.

[0075] The fundamental geostress parameters include vertical geostress, horizontal maximum principal stress, and horizontal minimum principal stress. These three parameters are core indicators characterizing the stress state of stress-bearing strata and directly affect the fracture propagation trend and fracture prevention effect. These fundamental geostress parameters are obtained through well logging data such as sonic logging, density logging, and resistivity logging, combined with downhole tests such as hydraulic fracturing tests and sonic emission tests, and professional inversion models, thereby ensuring that the parameters accurately reflect the actual stress state of the formation.

[0076] Fundamental mechanical properties include brittleness index, compressive strength, elastic modulus, Poisson's ratio, and fracture toughness. These parameters characterize the rock's resistance to deformation and fracture, and are important mechanical indicators for evaluating the fracturing resistance of rock layers. These fundamental mechanical properties are obtained through laboratory core experiments such as uniaxial compressive strength tests, triaxial compressive strength tests, and fracture toughness tests, combined with dynamic and static conversion methods using well logging data. This ensures accurate matching between laboratory experimental data and actual field formation parameters.

[0077] The fundamental parameters of bedding properties include bedding density, bedding thickness, and bedding cementation strength. These parameters are unique to shale reservoirs and directly affect fracture propagation paths and fracture prevention effects. These fundamental parameters are obtained through a combination of high-resolution imaging logging image recognition technology and directional rock sample experiments, thereby accurately characterizing the bedding development features of interlayers and reservoirs. For example, image recognition technology can be used for micro-resistivity imaging logging image analysis, and directional rock sample experiments can be used for bedding cementation strength testing.

[0078] Given that the fundamental parameters of geostress include vertical geostress, horizontal maximum principal stress, and horizontal minimum principal stress; the fundamental parameters of mechanical properties include brittleness index, compressive strength, elastic modulus, Poisson's ratio, and fracture toughness; and the fundamental parameters of bedding properties include bedding density, bedding thickness, and bedding cementation strength, the differences in geostress parameters correspond to the differences in the three parameters: vertical geostress, horizontal maximum principal stress, and horizontal minimum principal stress. There are three possible differences in geostress parameters. Therefore, the number of corresponding fundamental parameter classes (n1) is three, and the number of corresponding parameter class differences (n2) is... There are 3 mechanical property parameter differences, corresponding to the differences in five parameters: brittleness index, compressive strength, elastic modulus, Poisson's ratio, and fracture toughness. There are 5 mechanical property parameter differences, and the number of corresponding basic parameters n1 is 5, and the number of corresponding basic parameter differences n2 is 5. There are 3 bedding property parameter differences, corresponding to the differences in three parameters: bedding density, bedding thickness, and bedding cementation strength. There are 3 bedding property parameter differences, and the number of corresponding basic parameters n1 is 3, and the number of corresponding basic parameter differences n2 is 3.

[0079] The embodiments of this application comprehensively consider three core factors and their mutual coupling effects: geostress, rock mechanical properties, and bedding characteristics. This effectively overcomes the limitations of existing technologies and realizes a quantitative and scientific evaluation of the ability of stress barriers in shale reservoirs to block fracture propagation. It provides a solid theoretical basis and technical support for the precise selection of fracturing intervals, longitudinal fracture propagation control, and fracturing parameter optimization in shale gas development.

[0080] This application's embodiments construct a multi-parameter difference evaluation system and a symmetric evaluation matrix incorporating coupling effects. By combining this with the eigenvector method to determine weighting coefficients, it achieves a scientific, quantitative, and accurate evaluation of the fracturing resistance of stress barriers. This effectively solves the problems of existing evaluation methods, such as single parameters, strong subjectivity, and failure to consider coupling effects. The method of this application's embodiments balances scientific rigor, operability, and engineering applicability, and can accurately characterize the fracturing resistance of stress barriers.

[0081] The embodiments of this application employ rigorous scientific calculation methods such as range normalization, geometric mean method, symmetric evaluation matrix construction, and eigenvector method to quantify all key factors affecting the crack-resistant capability of stress-resistant barriers into calculable and comparable evaluation parameters. This effectively avoids the technical drawbacks caused by relying on the experience and judgment of engineers, strong subjectivity, and large evaluation errors. It truly realizes the graded and quantitative evaluation of the crack-resistant capability of stress-resistant barriers, providing accurate data support for engineering decision-making.

[0082] In response to the complex interactions among geostress, rock mechanical properties, and bedding characteristics, this application's embodiments construct a symmetric evaluation matrix that includes coupled difference evaluation parameters. This accurately characterizes the interaction and synergistic influence of the three types of factors, effectively overcoming the technical defects caused by the simple superposition of various influencing factors. The evaluation results are more consistent with the actual working conditions of the formation, and the accuracy and rationality are further improved.

[0083] All the basic evaluation parameters required for the embodiments of this application can be obtained through existing mature technologies such as conventional well logging techniques and indoor core experiments, without the need for additional complex testing equipment and investment, thus effectively controlling engineering costs. Simultaneously, the evaluation process is standardized and clear, with rigorous and orderly steps, and can be automatically completed through electronic devices or computer programs, significantly improving computational efficiency. This provides a solid theoretical basis and reliable technical support for the selection of fracturing intervals, control of fracture longitudinal propagation, and optimization of fracturing parameters in shale gas development, and has significant engineering implications for improving the success rate of fracturing operations, enhancing shale gas recovery rates, and reducing development costs. To promote the implementation of the evaluation method, the embodiments of this application simultaneously provide electronic devices, computer-readable storage media, and computer program products for implementing the evaluation method, which can quickly promote the engineering implementation of the evaluation method, effectively simplify the evaluation process, lower the technical threshold for evaluation, and improve evaluation efficiency. It can be easily adapted to different blocks and different types of shale gas fields, facilitating large-scale engineering promotion, and possesses broad engineering application prospects and significant economic value.

[0084] The core advantage of this application's embodiments is that it achieves accurate quantitative evaluation of multiple coupled factors, breaking the limitations of relying on a single parameter or experience-based judgment. It incorporates three core factors—geostress, mechanical properties, and bedding characteristics—into a unified system, and fully considers the interaction between various factors through standardized processes and scientific quantitative methods, making the evaluation results more consistent with the actual formation and providing reliable data support for fine fracturing design.

[0085] By systematically classifying and deconstructing the complex geological factors affecting barrier capacity, a clear and comprehensive basic parameter index system was constructed. This system refines the three core dimensions of geostress state, rock mechanical behavior, and bedding structure characteristics into specific and measurable physical quantities, making the characterization of the target geological body more accurate, multidimensional, and physically meaningful. This parameterized processing method lays a solid data foundation for subsequent differential evaluation, coupling analysis, and comprehensive judgment, ensuring that the evaluation work can grasp the key control factors from the source, thereby improving the reliability and interpretability of the overall evaluation results.

[0086] like Figure 4 As shown, in this embodiment, the stress barrier crack resistance evaluation device includes: The basic parameter acquisition module 701 is used to acquire the basic geostress parameters, basic mechanical property parameters, and basic bedding property parameters corresponding to the stress barrier and the target reservoir, respectively.

[0087] The parameter difference value acquisition module 702 is used to obtain the difference values ​​of geostress parameters, mechanical property parameters, and bedding property parameters based on the geostress basic parameters, mechanical property basic parameters, and bedding property basic parameters.

[0088] The difference evaluation parameter acquisition module 703 is used to obtain the difference evaluation parameters of geostress, mechanical properties, and bedding properties based on the difference values ​​of geostress parameters, mechanical property parameters, and bedding property parameters.

[0089] Evaluation module 704 is used to obtain the barrier level based on the evaluation parameters of geostress difference, mechanical property difference, and bedding property difference, so as to evaluate the crack resistance capacity of the stress barrier layer according to the barrier level. The crack resistance capacity of the stress barrier layer is divided into different levels of crack resistance capacity, and the barrier level is divided into different barrier levels, with different barrier levels corresponding to different levels of crack resistance capacity.

[0090] The stress-barrier crack resistance evaluation device provided in this embodiment can perform... Figure 2 The technical solution of the stress barrier crack resistance evaluation method embodiment shown herein, its implementation principle and technical effect are similar to Figure 2 The method for evaluating the crack resistance capability of the stress barrier shown is similar in the embodiments, and will not be described in detail here.

[0091] Meanwhile, the stress barrier crack resistance evaluation device provided by the present invention further refines the stress barrier crack resistance evaluation device based on the stress barrier crack resistance evaluation device provided in the previous embodiment.

[0092] Optionally, in this embodiment, the evaluation module 704 is further configured to: Based on the evaluation parameters for differences in ground stress, mechanical properties, and bedding properties, a symmetrical evaluation matrix is ​​obtained. Based on the symmetrical evaluation matrix, the weight coefficients corresponding to the evaluation parameters for differences in ground stress, mechanical properties, and bedding properties are obtained. Based on the weight coefficients corresponding to the evaluation parameters for differences in ground stress, mechanical properties, and bedding properties, the target evaluation parameters are obtained. Based on the target evaluation parameters and the preset threshold, the barrier level is obtained.

[0093] Optionally, in this embodiment, the preset threshold includes a first preset threshold and a second preset threshold, the barrier level includes a first target barrier level, a second target barrier level, and a third target barrier level, and the evaluation module 704 is further used for: When the target evaluation parameter is less than the first preset threshold, the barrier level of the stress barrier is determined to be the first target barrier level; or when the target evaluation parameter is greater than or equal to the first preset threshold and less than the second preset threshold, the barrier level of the stress barrier is determined to be the second target barrier level; or when the target evaluation parameter is greater than or equal to the second preset threshold, the barrier level of the stress barrier is determined to be the third target barrier level.

[0094] Optionally, in this embodiment, the evaluation module 704 is further configured to: Based on the evaluation parameters for differences in geostress, mechanical properties, and bedding properties, we obtain the evaluation parameters for the coupling differences between geostress and mechanical properties, geostress and bedding properties, and mechanical properties and bedding properties. Based on these parameters, we obtain a symmetric evaluation matrix.

[0095] Optionally, in this embodiment, the evaluation module 704 is further configured to: Based on the symmetric evaluation matrix, the eigenvectors corresponding to the target eigenvalues ​​of the symmetric evaluation matrix are obtained; based on the eigenvectors corresponding to the target eigenvalues ​​of the symmetric evaluation matrix, the weight coefficients corresponding to the geostress difference evaluation parameters, mechanical property difference evaluation parameters, and stratification property difference evaluation parameters are obtained respectively.

[0096] Optionally, in this embodiment, the basic parameters of ground stress include vertical ground stress, first target principal stress, and second target principal stress; the basic parameters of mechanical properties include brittleness index, compressive strength, elastic modulus, Poisson's ratio, and fracture toughness; and the basic parameters of bedding properties include bedding density, bedding thickness, and bedding cementation strength. The parameter difference value acquisition module 702 is also used for: Based on the vertical ground stress, the first target principal stress, the second target principal stress, the brittleness index, the compressive strength, the elastic modulus, Poisson's ratio, the fracture toughness, the bedding density, the bedding thickness, and the bedding cementation strength, the difference values ​​of the ground stress parameters, the difference values ​​of the mechanical property parameters, and the difference values ​​of the bedding property parameters are obtained using the range normalization method.

[0097] Figure 5 This is a schematic diagram of an electronic device provided for an embodiment of this application. The electronic device is intended for use with various electronic devices capable of performing methods for evaluating the crack resistance capability of stress barriers, such as microcomputers, single-chip microcomputers, and other suitable computers. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein. Figure 5 As shown, the electronic device includes at least one processor 801 and a memory 802. The electronic device also includes a communication component 803. The processor 801, memory 802, and communication component 803 are connected via a bus 804.

[0098] In the specific implementation process, at least one processor 801 executes computer execution instructions stored in memory 802, causing at least one processor 801 to execute the stress isolation layer crack resistance evaluation method executed on the electronic device side as described above.

[0099] The specific implementation process of processor 801 can be found in the above embodiment of the method for evaluating the crack resistance capability of stress isolation layer. The implementation principle and technical effect are similar, and will not be repeated here.

[0100] In the above embodiments, it should be understood that the processor 801 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor 801 can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0101] The memory 802 may include high-speed RAM memory, and may also include non-volatile memory (NVM), such as at least one disk storage.

[0102] Bus 804 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. Bus 804 can be divided into an address bus, a data bus, and a control bus. For ease of illustration, the bus 804 in the accompanying drawings of this application is not limited to only one bus or one type of bus.

[0103] The above description addresses the functions implemented by electronic devices and main control devices, and introduces the solutions provided in the embodiments of this application. It is understood that, in order to achieve the above functions, the electronic device or main control device includes hardware structures and / or software modules corresponding to the execution of each function. By combining the units and algorithm steps of the various examples described in the embodiments disclosed in this application, the embodiments of this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed by hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the technical solutions of the embodiments of this application.

[0104] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-mentioned method for evaluating the crack resistance capability of stress-resistant layers.

[0105] The aforementioned computer-readable storage media can be implemented by any type of volatile, non-volatile storage device or combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0106] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. The readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in application-specific integrated circuits (ASICs). Alternatively, the processor and the readable storage medium can exist as discrete components in an electronic device or a host device.

[0107] The memory 802 is the non-transitory computer-readable storage medium provided by this invention. The non-transitory computer-readable storage medium of this invention stores computer information for enabling the computer to execute the stress-barrier crack resistance evaluation method provided by this invention.

[0108] The memory 802, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules. The processor 801 executes various functional applications and data processing by running the non-transitory software programs, instructions, and modules stored in the memory 802, thereby realizing the stress-isolation layer crack resistance evaluation method in the above method embodiments.

[0109] In addition, this embodiment also provides a computer program product, including a computer program, which, when executed by a processor, is used to implement the stress barrier crack resistance evaluation method of the above embodiment.

[0110] The above technical features constitute various embodiments of the present invention, which have strong adaptability and implementation effect. Unnecessary technical features can be added or removed according to actual needs to meet the needs of different situations.

Claims

1. A method for evaluating the crack resistance capability of a stress barrier, characterized in that, include: Obtain the basic geostress parameters, basic mechanical property parameters, and basic stratification property parameters corresponding to the stress barrier and the target reservoir, respectively; Based on the basic parameters of geostress, the basic parameters of mechanical properties, and the basic parameters of bedding properties, the differences in geostress parameters, mechanical property parameters, and bedding property parameters are obtained. Based on the differences in the geostress parameters, the mechanical property parameters, and the bedding property parameters, we obtain the geostress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters. Based on the evaluation parameters of geostress difference, mechanical property difference, and bedding property difference, the barrier level is obtained. The fracturing resistance of the stress barrier is evaluated based on the barrier level. The fracturing resistance of the stress barrier is divided into different levels of fracturing resistance, and the barrier level is divided into different barrier levels. Different barrier levels correspond to different levels of fracturing resistance.

2. The method for evaluating the crack resistance capability of a stress-resistant layer according to claim 1, characterized in that, The barrier level is obtained based on the ground stress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters, including: Based on the evaluation parameters for differences in geostress, mechanical properties, and bedding properties, a symmetric evaluation matrix is ​​obtained. Based on the symmetric evaluation matrix, the weight coefficients corresponding to the geostress difference evaluation parameter, the mechanical property difference evaluation parameter, and the bedding property difference evaluation parameter are obtained respectively. The target evaluation parameters are obtained based on the weight coefficients corresponding to the ground stress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters, respectively. The barrier level is obtained based on the target evaluation parameters and the preset threshold.

3. The method for evaluating the crack resistance capability of stress-resistant layers according to claim 2, characterized in that, The preset thresholds include a first preset threshold and a second preset threshold, and the blocking levels include a first target blocking level, a second target blocking level, and a third target blocking level. The process of obtaining the barrier level based on the target evaluation parameters and a preset threshold includes: When the target evaluation parameter is less than the first preset threshold, the barrier level of the stress barrier layer is determined to be the first target barrier level; When the target evaluation parameter is greater than or equal to the first preset threshold and less than the second preset threshold, the barrier level of the stress barrier is determined to be the second target barrier level. When the target evaluation parameter is greater than or equal to the second preset threshold, the barrier level of the stress barrier is determined to be the third target barrier level; The crack resistance capability of the stress barrier is evaluated based on the aforementioned barrier level, including: When the barrier level of the stress barrier is the first target barrier level, the crack resistance of the stress barrier is weak. When the barrier level of the stress barrier is the second target barrier level, the crack resistance of the stress barrier is medium. When the barrier level of the stress barrier is the third target barrier level, the crack resistance of the stress barrier is strong.

4. The method for evaluating the crack resistance capability of a stress-resistant layer according to claim 2 or 3, characterized in that, The process of obtaining a symmetric evaluation matrix based on the geostress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters includes: Based on the ground stress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters, the ground stress and mechanical property coupling difference evaluation parameters, the ground stress and bedding property coupling difference evaluation parameters, and the mechanical property and bedding property coupling difference evaluation parameters are obtained. Based on the evaluation parameters for the coupling difference between geostress and mechanical properties, the evaluation parameters for the coupling difference between geostress and bedding properties, the evaluation parameters for the coupling difference between mechanical properties and bedding properties, the evaluation parameters for the difference in geostress, the evaluation parameters for the difference in mechanical properties, and the evaluation parameters for the difference in bedding properties, a symmetric evaluation matrix is ​​obtained; The symmetric evaluation matrix is ​​in the form of: Where A is a symmetric evaluation matrix; I SM Parameters for evaluating the coupling difference between geostress and mechanical properties; I SL For evaluating the difference in coupling between geostress and bedding properties; I ML Parameters for evaluating the coupling difference between mechanical properties and bedding properties; I S For evaluating geostress differences; I M For evaluating differences in mechanical properties; I L These are parameters for evaluating differences in stratification properties.

5. The method for evaluating the crack resistance capability of a stress-resistant layer according to claim 4, characterized in that, The step of obtaining the weight coefficients corresponding to the geostress difference evaluation parameter, the mechanical property difference evaluation parameter, and the bedding property difference evaluation parameter based on the symmetric evaluation matrix includes: Based on the symmetric evaluation matrix, the eigenvectors corresponding to the target eigenvalues ​​of the symmetric evaluation matrix are obtained; Based on the eigenvectors corresponding to the target eigenvalues ​​of the symmetric evaluation matrix, the weight coefficients corresponding to the geostress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters are obtained respectively. When the target feature value is the maximum feature value, the calculation formulas for the weight coefficients corresponding to the geostress difference evaluation parameter, mechanical property difference evaluation parameter, and bedding property difference evaluation parameter are as follows: Where w1 is the weight coefficient corresponding to the evaluation parameter of geostress difference; w2 is the weight coefficient corresponding to the evaluation parameter of mechanical property difference; w3 is the weight coefficient corresponding to the evaluation parameter of bedding property difference; ξ1 is the geostress factor component in the eigenvector corresponding to the largest eigenvalue of the symmetric evaluation matrix; ξ2 is the mechanical property factor component in the eigenvector corresponding to the largest eigenvalue of the symmetric evaluation matrix; and ξ3 is the bedding property factor component in the eigenvector corresponding to the largest eigenvalue of the symmetric evaluation matrix.

6. The method for evaluating the crack resistance capability of a stress-resistant layer according to claim 5, characterized in that, The basic parameters of geostress include vertical geostress, first target principal stress and second target principal stress; the basic parameters of mechanical properties include brittleness index, compressive strength, elastic modulus, Poisson's ratio and fracture toughness; and the basic parameters of bedding properties include bedding density, bedding thickness and bedding cementation strength. The process of obtaining the differences in geostress parameters, mechanical properties, and bedding properties based on the geostress fundamental parameters, the mechanical property fundamental parameters, and the bedding property fundamental parameters includes: Based on the vertical ground stress, the first target principal stress, the second target principal stress, the brittleness index, the compressive strength, the elastic modulus, the Poisson's ratio, the fracture toughness, the bedding density, the bedding thickness, and the bedding cementation strength, the difference values ​​of the ground stress parameters, the difference values ​​of the mechanical property parameters, and the difference values ​​of the bedding property parameters are obtained using the range normalization method.

7. A device for evaluating the crack resistance capability of a stress barrier, characterized in that, include: The basic parameter acquisition module is used to acquire the basic geostress parameters, basic mechanical property parameters, and basic bedding property parameters corresponding to the stress barrier and the target reservoir, respectively. The parameter difference value acquisition module is used to obtain the difference values ​​of the ground stress parameters, the difference values ​​of the mechanical properties parameters, and the difference values ​​of the bedding properties parameters based on the ground stress basic parameters, the mechanical property basic parameters, and the bedding property basic parameters. The difference evaluation parameter acquisition module is used to obtain the geostress difference evaluation parameter, the mechanical property difference evaluation parameter, and the bedding property difference evaluation parameter based on the difference values ​​of the geostress parameter, the mechanical property parameter, and the bedding property parameter; The evaluation module is used to obtain the barrier level based on the geostress difference evaluation parameters, the mechanical property difference evaluation parameters, and the bedding property difference evaluation parameters, so as to evaluate the crack resistance capability of the stress barrier layer based on the barrier level. The crack resistance capability of the stress barrier layer is divided into different levels of crack resistance capability, and the barrier level is divided into different barrier levels, with different barrier levels corresponding to different levels of crack resistance capability.

8. An electronic device, characterized in that, include: A processor and a memory communicatively connected to the processor; The memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method for evaluating the crack resistance capability of stress barriers as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, include: The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method for evaluating the crack resistance capability of stress-resistant layers as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, Includes a computer program, which, when executed by a processor, is used to implement the method for evaluating the crack resistance capability of a stress barrier as described in any one of claims 1 to 6.

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