Prediction method, device and equipment for development strength of continental facies shale bedding joint

Abstract

The invention provides a continental facies shale bedding fracture development strength prediction method, device and equipment, and relates to the technical field of geophysical exploration. The method comprises the following steps: acquiring measurement information of continental facies shale; the measurement information comprises the lamina type, the lamina linear density and the organic carbon content of the continental facies shale; determining a first fitting relationship between the lamina linear density of the continental facies shale and the bedding fracture development strength of the continental facies shale, and a second fitting relationship between the organic carbon content of the continental facies shale and the bedding fracture development strength of the continental facies shale; according to the continental facies shale bedding fracture development strength corresponding to the lamina type of the continental facies shale, the first fitting relationship and the second fitting relationship, determining a prediction model of the continental facies shale bedding fracture development strength; and predicting the development strength of the continental facies shale bedding fracture according to the prediction model of the development strength of the continental facies shale bedding fracture. The method provided by the embodiment of the invention can effectively improve the accuracy of the prediction result of the continental facies shale bedding fracture development strength.

Description

Technical Field

[0001] The present invention relates to the field of geophysical exploration technology, and in particular to a method, device and equipment for predicting the development intensity of continental shale bedding fractures. Background Art

[0002] With the increasing maturity of conventional oil and gas development technology and the efficient exploitation of resources, the supply of conventional oil and gas has gradually become saturated and it is difficult to meet the social production needs. my country has rich reserves of unconventional oil and gas resources, especially the development of continental shale layers has attracted much attention.

[0003] In the relevant technologies, the research on the bedding fractures of continental shale reservoirs is still relatively weak worldwide. Its causes, opening and closing mechanisms and quantitative analysis are still in the primary stage. The research on the bedding fractures of continental shale is mainly based on descriptive and qualitative analysis, lacking quantitative analysis methods. Therefore, how to quickly and accurately predict the development intensity of bedding fractures in continental shale from multiple angles is a technical problem that technicians in this field need to solve urgently. Summary of the invention

[0004] The present invention provides a method, device and equipment for predicting the strength of development of bedding fractures in continental shale. According to the strength of development of bedding fractures in continental shale corresponding to the lamination type of continental shale, a first fitting relationship and a second fitting relationship, a prediction model for the strength of development of bedding fractures in continental shale is determined, so that the prediction model for the strength of development of bedding fractures in continental shale integrates three prediction methods for the strength of development of bedding fractures in continental shale, and the prediction result of the prediction model for the strength of development of bedding fractures in continental shale integrates the prediction results of the strength of development of bedding fractures in continental shale corresponding to the three methods respectively, so that a more accurate prediction result of the strength of development of bedding fractures in continental shale can be determined, and the accuracy of the prediction result of the strength of development of bedding fractures in continental shale can be effectively improved.

[0005] The present invention provides a method for predicting the development intensity of continental shale bedding fractures, comprising the following steps.

[0006] Acquiring measurement information of continental shale; the measurement information includes lamination type, lamination line density and organic carbon content of the continental shale; Determine a first fitting relationship between the laminae line density of the continental shale and the intensity of the development of bedding fractures in the continental shale, and a second fitting relationship between the organic carbon content of the continental shale and the intensity of the development of bedding fractures in the continental shale; Determining a prediction model for the development intensity of continental shale bedding fractures according to the continental shale bedding fracture development intensity corresponding to the lamination type of the continental shale, the first fitting relationship, and the second fitting relationship; According to the prediction model of the development intensity of bedding fractures in continental shale, the development intensity of bedding fractures in continental shale is predicted.

[0007] According to a method for predicting the intensity of stratification fracture development in continental shale provided by the present invention, the first fitting relationship includes: ; in, The first fitting relationship between the laminae density of continental shale and the intensity of the bedding fracture development of continental shale is shown; is the laminae density of continental shale; A and B represent fitting parameters; The second fitting relationship includes: ; in, represents the second fitting relationship between the organic carbon content of the continental shale and the intensity of the development of bedding fractures in the continental shale; z is the organic carbon content of the continental shale; C and D represent fitting parameters.

[0008] According to a method for predicting the intensity of development of continental shale bedding fractures provided by the present invention, the prediction model for the intensity of development of continental shale bedding fractures is determined according to the intensity of development of continental shale bedding fractures corresponding to the lamination type of the continental shale, the first fitting relationship and the second fitting relationship, including: The lamination type of the continental shale corresponds to the lamination intensity of the continental shale as the first fitting element; Using the first fitting relationship as the second fitting element; Using the second fitting relationship as the third fitting element; A prediction model for the development intensity of bedding fractures in continental shale is determined based on the first fitting element, the second fitting element and the third fitting element.

[0009] According to a method for predicting the development intensity of continental shale bedding fractures provided by the present invention, the prediction model of the development intensity of continental shale bedding fractures includes: ； in, A prediction model for the intensity of bedding fracture development in continental shale; Indicates the lamination type of continental shale corresponding to the intensity of the lamination fracture development of continental shale; represents the first fitting relationship; represents the second fitting relationship; , , Represents weight.

[0010] According to a method for predicting the development intensity of continental shale bedding fractures provided by the present invention, the prediction of the development intensity of continental shale bedding fractures is performed according to the prediction model of the development intensity of continental shale bedding fractures, comprising: The measured lamination type, lamination line density, and organic carbon content of the continental shale are input into the prediction model of the development intensity of the bedding fractures of the continental shale to obtain the prediction result of the development intensity of the bedding fractures of the continental shale.

[0011] According to a method for predicting the development intensity of continental shale bedding fractures provided by the present invention, the step of obtaining measurement information of the continental shale includes: The measurement information of the continental shale is obtained based on at least one method such as field outcrop, core description, cast thin section analysis, well logging and imaging logging.

[0012] The present invention also provides a device for predicting the development intensity of continental shale bedding fractures, comprising the following modules: An acquisition module, used to acquire measurement information of continental shale; the measurement information includes lamination type, lamination line density and organic carbon content of the continental shale; A determination module, used to determine a first fitting relationship between the laminae density of the continental shale and the intensity of the development of bedding fractures in the continental shale, and a second fitting relationship between the organic carbon content of the continental shale and the intensity of the development of bedding fractures in the continental shale; A modeling module, for determining a prediction model for the development intensity of continental shale bedding fractures according to the continental shale bedding fracture development intensity corresponding to the lamination type of the continental shale, the first fitting relationship and the second fitting relationship; The prediction module is used to predict the development intensity of the continental shale bedding fractures according to the prediction model of the development intensity of the continental shale bedding fractures.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a method for predicting the development intensity of stratified fractures in continental shale as described in any one of the above-mentioned methods is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for predicting the intensity of development of stratified fractures in continental shale as described in any one of the above.

[0015] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-mentioned methods for predicting the intensity of development of continental shale bedding fractures.

[0016] The method, device and equipment for predicting the intensity of development of bedding fractures in continental shale provided by the present invention determine a prediction model for the intensity of development of bedding fractures in continental shale according to the intensity of development of bedding fractures in continental shale corresponding to the lamination type of continental shale, the first fitting relationship and the second fitting relationship, so that the prediction model for the intensity of development of bedding fractures in continental shale integrates three prediction methods for the intensity of development of bedding fractures in continental shale, and the prediction result of the prediction model for the intensity of development of bedding fractures in continental shale integrates the prediction results of the intensity of development of bedding fractures in continental shale corresponding to the three methods respectively, so that a more accurate prediction result of the intensity of development of bedding fractures in continental shale can be determined, effectively improving the accuracy of the prediction result of the intensity of development of bedding fractures in continental shale. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 This is one of the flow diagrams of the method for predicting the development intensity of continental shale bedding fractures provided by the present invention.

[0019] Figure 2 It is a schematic diagram of the development intensity of continental shale bedding fractures corresponding to the lamination types of continental shale provided by the present invention.

[0020] Figure 3 It is a schematic diagram of the first fitting relationship between the laminae line density of continental shale and the intensity of the development of bedding fractures in continental shale provided by the present invention.

[0021] Figure 4 It is a schematic diagram of the second fitting relationship between the organic carbon content of continental shale and the intensity of the development of bedding fractures in continental shale provided by the present invention.

[0022] Figure 5 This is the second flow chart of the method for predicting the development intensity of continental shale bedding fractures provided by the present invention.

[0023] Figure 6 It is a schematic diagram of the structure of a device for predicting the development intensity of continental shale bedding fractures provided by the present invention.

[0024] Figure 7 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] Combine the following Figure 1-Figure 7 The present invention describes a method, device and apparatus for predicting the intensity of the development of continental shale bedding fractures.

[0027] In order to facilitate a clearer understanding of the technical solutions of the embodiments of the present application, some technical contents related to the embodiments of the present application are first introduced.

[0028] In recent years, scholars have proposed a series of multi-dimensional and comprehensive methods for studying bedding fractures, covering scales such as points (core slices), lines (well logging), surfaces (similar outcrops) and volumes (seismic data), and combined with the time dimension (production dynamic data), a framework for the study of fractures (including bedding fractures) has been constructed. These methods include field observation, core description, microscopic identification, direct interpolation between wells, curvature method, energy method, rock fracture method (binary method), seismic method, fractal dimension method and numerical simulation of tectonic stress field. However, these methods usually have problems such as high difficulty in data acquisition, difficulty in data processing, single research angle and lack of universality. Therefore, how to quickly and accurately predict the development intensity of bedding fractures in continental shale layers in the study area from multiple angles is a technical problem in current research.

[0029] In the related technologies, the research on bedding fractures in continental shale reservoirs mainly focuses on statistical development characteristics and filling conditions of bedding fractures from the perspectives of field outcrop observation, core description, and cast thin section analysis, combined with traditional logging and imaging logging technologies. Based on a multi-scale and multi-parameter analysis framework, the degree of development of bedding fractures is quantitatively characterized. However, these statistical results of bedding fracture development characteristics can usually only be used to make predictions for small areas in the study area, and different blocks in the same study area need to be re-evaluated, which will greatly increase the cost investment.

[0030] Figure 1 This is one of the flow diagrams of the method for predicting the development strength of continental shale bedding fractures provided by the present invention, such as Figure 1 As shown, the method includes the following: Step 101, obtaining measurement information of continental shale; the measurement information includes lamination type, lamination line density and organic carbon content of the continental shale.

[0031] Specifically, in the embodiment of the present application, the measurement information of the continental shale is first obtained. The measurement information of the continental shale includes the laminae type, laminae line density and organic carbon content of the continental shale. Optionally, the measurement information of the continental shale can be obtained based on a variety of methods such as field outcrops, core descriptions, cast thin section analysis, logging and imaging logging; the measurement information of the continental shale obtained by a variety of methods can also be mutually verified and corrected, so as to efficiently and accurately obtain the measurement information of the continental shale.

[0032] Step 102: determine a first fitting relationship between the laminae line density of the continental shale and the intensity of the development of bedding fractures in the continental shale, and a second fitting relationship between the organic carbon content of the continental shale and the intensity of the development of bedding fractures in the continental shale.

[0033] Specifically, after obtaining the lamination type, lamination line density and organic carbon content of the continental shale, the embodiment of the present application can fit the lamination line density of the continental shale and the intensity of the development of the bedding fractures of the continental shale to obtain a first fitting relationship between the lamination line density of the continental shale and the intensity of the development of the bedding fractures of the continental shale. Optionally, the organic carbon content of the continental shale and the intensity of the development of the bedding fractures of the continental shale can also be fitted to obtain a second fitting relationship between the organic carbon content of the continental shale and the intensity of the development of the bedding fractures of the continental shale. That is, in the embodiment of the present application, the measurement information of multiple continental shales is respectively fitted with the intensity of the development of the bedding fractures of the continental shale, so that the intensity of the development of the bedding fractures of the continental shale can be predicted based on any of the multiple fitting relationships. Optionally, the intensity of bedding fracture development in continental shale can be predicted based on a first fitting relationship between the laminae line density of continental shale and the intensity of bedding fracture development in continental shale, or the intensity of bedding fracture development in continental shale can be predicted based on a second fitting relationship between the organic carbon content of continental shale and the intensity of bedding fracture development in continental shale.

[0034] Step 103: Determine a prediction model for the development intensity of bedding fractures in continental shale according to the development intensity of bedding fractures in continental shale corresponding to the lamination type of the continental shale, the first fitting relationship, and the second fitting relationship.

[0035] Specifically, after determining the first fitting relationship between the laminae line density of continental shale and the intensity of the development of bedding fractures in continental shale, and the second fitting relationship between the organic carbon content of continental shale and the intensity of the development of bedding fractures in continental shale, the intensity of the development of bedding fractures in continental shale can be predicted based on any one of the multiple fitting relationships. Optionally, the intensity of the development of bedding fractures in continental shale can be predicted based on the first fitting relationship between the laminae line density of continental shale and the intensity of the development of bedding fractures in continental shale, or the intensity of the development of bedding fractures in continental shale can be predicted based on the second fitting relationship between the organic carbon content of continental shale and the intensity of the development of bedding fractures in continental shale.

[0036] Optionally, in order to more accurately predict the strength of the development of bedding fractures in continental shale, in the embodiment of the present application, a prediction model for the strength of the development of bedding fractures in continental shale is determined according to the strength of the development of bedding fractures in continental shale corresponding to the lamination type of continental shale, the first fitting relationship, and the second fitting relationship. This means that the prediction model for the strength of the development of bedding fractures in continental shale combines three prediction methods for the strength of the development of bedding fractures in continental shale. Based on the prediction model for the strength of the development of bedding fractures in continental shale, a more accurate prediction result for the strength of the development of bedding fractures in continental shale can be determined, thereby effectively improving the accuracy of the prediction result for the strength of the development of bedding fractures in continental shale. Optionally, such as Figure 2 As shown in the figure, the lamination type of continental shale and the intensity of the development of continental shale bedding fractures can be classified and determined based on a large amount of measurement data.

[0037] Step 104: predict the development intensity of bedding fractures in continental shale according to the prediction model of the development intensity of bedding fractures in continental shale.

[0038] Specifically, in an embodiment of the present application, a prediction model for the strength of development of bedding fractures in continental shale is determined based on the strength of development of bedding fractures in continental shale corresponding to the lamination type of the continental shale, the first fitting relationship and the second fitting relationship. This means that the prediction result of the prediction model for the strength of development of bedding fractures in continental shale combines the prediction results of the strength of development of bedding fractures in continental shale corresponding to the three methods respectively, thereby determining a more accurate prediction result for the strength of development of bedding fractures in continental shale.

[0039] It should be noted that in the embodiment of the present application, multiple measurement information (laminium type, lamina line density and organic carbon content of continental shale) is not simply fitted directly to obtain a prediction model for the development intensity of bedding fractures in continental shale, but the lamina line density of continental shale and the development intensity of bedding fractures in continental shale are fitted to obtain a first fitting relationship; the organic carbon content of continental shale and the development intensity of bedding fractures in continental shale are fitted to obtain a second fitting relationship; and then, according to the development intensity of bedding fractures in continental shale corresponding to the lamina type of continental shale, the first fitting relationship is obtained. The fitting relationship and the second fitting relationship determine the prediction model of the development intensity of bedding fractures in continental shale, which makes the prediction model of the development intensity of bedding fractures in continental shale integrate the three prediction methods of the development intensity of bedding fractures in continental shale, so that the prediction results of the prediction model of the development intensity of bedding fractures in continental shale integrate the prediction results of the development intensity of bedding fractures in continental shale corresponding to the three methods, and can determine a more accurate prediction result of the development intensity of bedding fractures in continental shale, effectively improving the accuracy of the prediction result of the development intensity of bedding fractures in continental shale. The method of the embodiment of the present application is more accurate than directly fitting multiple measurement information (lamina type, lamina line density and organic carbon content of continental shale) to obtain the prediction model of the development intensity of bedding fractures in continental shale, which can effectively improve the accuracy of the prediction result of the development intensity of bedding fractures in continental shale.

[0040] The method of the above embodiment determines a prediction model for the development intensity of bedding fractures in continental shale according to the development intensity of bedding fractures in continental shale corresponding to the lamination type of continental shale, the first fitting relationship and the second fitting relationship, so that the prediction model for the development intensity of bedding fractures in continental shale integrates three prediction methods for the development intensity of bedding fractures in continental shale, and the prediction result of the prediction model for the development intensity of bedding fractures in continental shale integrates the prediction results of the development intensity of bedding fractures in continental shale corresponding to the three methods respectively, so that a more accurate prediction result of the development intensity of bedding fractures in continental shale can be determined, effectively improving the accuracy of the prediction result of the development intensity of bedding fractures in continental shale.

[0041] In one embodiment, the first fitting relationship includes: ; in, The first fitting relationship between the laminae density of continental shale and the intensity of the bedding fracture development of continental shale is shown; is the laminae density of continental shale; A and B represent fitting parameters; The second fitting relationship includes: ; in, It represents the second fitting relationship between the organic carbon content of continental shale and the intensity of bedding fracture development of continental shale; z is the organic carbon content of continental shale; C and D represent fitting parameters.

[0042] Specifically, in the embodiment of the present application, the laminae line density of continental shale and the intensity of the development of bedding fractures in continental shale can be fitted to obtain the first fitting relationship between the laminae line density of continental shale and the intensity of the development of bedding fractures in continental shale. ;in, The first fitting relationship between the laminae density of continental shale and the intensity of the bedding fracture development of continental shale is shown; is the laminae density of continental shale; A and B represent fitting parameters. Optionally, the organic carbon content of continental shale and the intensity of bedding fracture development of continental shale can also be fitted to obtain a second fitting relationship between the organic carbon content of continental shale and the intensity of bedding fracture development of continental shale: ;in, Represents the second fitting relationship between the organic carbon content of continental shale and the intensity of bedding fracture development in continental shale; z is the organic carbon content of continental shale; C and D represent fitting parameters. That is, in the embodiment of the present application, the measurement information of multiple continental shales is respectively fitted with the intensity of bedding fracture development in continental shale, so that the intensity of bedding fracture development in continental shale can be predicted based on multiple fitting relationships. Optionally, the intensity of bedding fracture development in continental shale can be predicted based on the first fitting relationship between the laminae line density of continental shale and the intensity of bedding fracture development in continental shale, or the intensity of bedding fracture development in continental shale can be predicted based on the second fitting relationship between the organic carbon content of continental shale and the intensity of bedding fracture development in continental shale.

[0043] For example, Figure 3 As shown in the figure, based on the data of the relationship between the laminae line density and the bedding line density in Block X, the functional relationship between the laminae line density and the bedding line density is fitted as follows:

[0044] like Figure 4 As shown in the figure, based on the data of the relationship between organic carbon content (TOC) and bedding suture density, the functional relationship between organic carbon content (TOC) and bedding suture density is fitted as follows:

[0045] That is, based on the first fitting relationship The prediction of the intensity of the bedding fractures in continental shale can also be based on the second fitting relationship Predict the development intensity of bedding fractures in continental shale.

[0046] The method of the above embodiment fits the measured information of various continental shales with the development intensity of bedding fractures in continental shale respectively, so that the development intensity of bedding fractures in continental shale can be predicted based on various fitting relationships. Optionally, the development intensity of bedding fractures in continental shale can be predicted based on the first fitting relationship between the laminae density of continental shale and the development intensity of bedding fractures in continental shale, or it can be predicted based on the second fitting relationship between the organic carbon content of continental shale and the development intensity of bedding fractures in continental shale, thereby realizing the prediction of the development intensity of bedding fractures in continental shale in multiple ways. Then, by combining the prediction results of multiple methods, a more accurate prediction result of the development intensity of bedding fractures in continental shale can be determined, effectively improving the accuracy of the prediction result of the development intensity of bedding fractures in continental shale.

[0047] In one embodiment, a prediction model for the development intensity of continental shale bedding fractures is determined according to the continental shale bedding fracture development intensity corresponding to the lamination type of the continental shale, the first fitting relationship, and the second fitting relationship, including: The lamination type of continental shale corresponding to the lamination intensity of continental shale is used as the first fitting element; The first fitting relationship is used as the second fitting element; The second fitting relationship is used as the third fitting element; According to the first fitting element, the second fitting element and the third fitting element, a prediction model for the development intensity of bedding fractures in continental shale is determined.

[0048] Specifically, in the embodiment of the present application, after obtaining the intensity of development of bedding fractures in continental shale corresponding to the lamination type of continental shale, the first fitting relationship between the lamination line density of continental shale and the intensity of development of bedding fractures in continental shale, and the second fitting relationship between the organic carbon content of continental shale and the intensity of development of bedding fractures in continental shale, the intensity of development of bedding fractures in continental shale corresponding to the lamination type of continental shale is used as the first fitting element; the first fitting relationship between the lamination line density of continental shale and the intensity of development of bedding fractures in continental shale is used as the second fitting element; the first fitting relationship between the organic carbon content of continental shale and the intensity of development of bedding fractures in continental shale is used as the second fitting element; The second fitting relationship serves as the third fitting element; and through the fitting of the three fitting elements, the prediction model of the development intensity of bedding fractures in continental shale can be obtained, which makes the prediction model of the development intensity of bedding fractures in continental shale integrate the three prediction methods of the development intensity of bedding fractures in continental shale, and the prediction results of the prediction model of the development intensity of bedding fractures in continental shale integrate the prediction results of the development intensity of bedding fractures in continental shale corresponding to the three methods respectively, so that more accurate prediction results of the development intensity of bedding fractures in continental shale can be determined, effectively improving the accuracy of the prediction results of the development intensity of bedding fractures in continental shale.

[0049] The method of the above embodiment uses the continental shale bedding fracture development intensity corresponding to the lamination type of the continental shale as the first fitting element; uses the first fitting relationship as the second fitting element; uses the second fitting relationship as the third fitting element; and determines the prediction model of the continental shale bedding fracture development intensity based on the first fitting element, the second fitting element and the third fitting element, so that the prediction model of the continental shale bedding fracture development intensity integrates the three prediction methods of the continental shale bedding fracture development intensity, and the prediction result of the prediction model of the continental shale bedding fracture development intensity integrates the prediction results of the continental shale bedding fracture development intensity corresponding to the three methods, so that a more accurate prediction result of the continental shale bedding fracture development intensity can be determined, effectively improving the accuracy of the prediction result of the continental shale bedding fracture development intensity.

[0050] In one embodiment, the prediction model of the intensity of the development of bedding fractures in continental shale includes: ； in, A prediction model for the intensity of bedding fracture development in continental shale; Indicates the lamination type of continental shale corresponding to the intensity of the lamination fracture development of continental shale; represents the first fitting relationship; represents the second fitting relationship; , , Represents weight.

[0051] Specifically, in the embodiment of the present application, the intensity of the development of continental shale bedding fractures corresponding to the lamination type of continental shale is used as the first fitting element; the first fitting relationship is used as the second fitting element; the second fitting relationship is used as the third fitting element; the first fitting element, the second fitting element and the third fitting element are fitted to obtain a prediction model for the intensity of the development of continental shale bedding fractures. Optionally, the prediction model for the intensity of the development of continental shale bedding fractures after fitting the first fitting element, the second fitting element and the third fitting element is: ;in, A prediction model for the intensity of bedding fracture development in continental shale; Indicates the lamination type of continental shale corresponding to the intensity of the lamination fracture development of continental shale; represents the first fitting relationship; represents the second fitting relationship; , , Represents weight.

[0052] For example, based on the weight distribution results, a prediction formula for the development intensity of continental shale bedding fractures based on three influencing factors, namely, laminae type, laminae line density and organic carbon content (TOC), was established for this block: Optionally, the weights in the prediction model of the development intensity of continental shale bedding fractures can be determined based on the entropy weight method, or based on other methods, which is not specifically limited in the embodiments of the present application.

[0053] According to the method of the above-mentioned embodiment, the prediction model of the development strength of bedding fractures in continental shale integrates three prediction methods of the development strength of bedding fractures in continental shale, and the prediction result of the prediction model of the development strength of bedding fractures in continental shale integrates the prediction results of the development strength of bedding fractures in continental shale corresponding to the three methods respectively. Therefore, based on the prediction model of the development strength of bedding fractures in continental shale, a more accurate prediction result of the development strength of bedding fractures in continental shale can be determined, thereby effectively improving the accuracy of the prediction result of the development strength of bedding fractures in continental shale.

[0054] In one embodiment, the intensity of the development of bedding fractures in continental shale is predicted according to a prediction model of the intensity of the development of bedding fractures in continental shale, including: The measured lamination type, lamination line density and organic carbon content of the continental shale are input into the prediction model of the development intensity of the bedding fractures in the continental shale to obtain the prediction result of the development intensity of the bedding fractures in the continental shale.

[0055] Specifically, in the embodiment of the present application, the first fitting element, the second fitting element and the third fitting element are fitted to obtain a prediction model of the development intensity of continental shale bedding fractures: Afterwards, when predicting the intensity of bedding fracture development in continental shale, the measured lamination type, laminae line density, and organic carbon content of the continental shale can be input into the prediction model of the intensity of bedding fracture development in continental shale to obtain the prediction result of the intensity of bedding fracture development in continental shale.

[0056] In one embodiment, obtaining measurement information of continental shale includes: The measurement information of continental shale is obtained based on at least one of the following methods: field outcrop, core description, cast thin section analysis, well logging and imaging logging.

[0057] Specifically, in the embodiments of the present application, the measurement information of continental shale can be obtained based on at least one method such as field outcrop, core description, cast thin section analysis, logging and imaging logging. Optionally, the measurement information of continental shale obtained by multiple methods can be mutually verified and corrected, so that the lamination type, lamination line density and organic carbon content of the continental shale can be obtained efficiently and accurately, thereby improving the accuracy of the first fitting relationship and the second fitting relationship, and determining a more accurate prediction model for the development intensity of continental shale bedding fractures, effectively improving the accuracy of the prediction results of the development intensity of continental shale bedding fractures.

[0058] The method of the above embodiment obtains the lamination type, lamination line density and organic carbon content of continental shale based on at least one of field outcrops, core descriptions, cast thin section analysis, logging and imaging logging, which can improve the accuracy of the first fitting relationship and the second fitting relationship, and thus determine a more accurate prediction model for the development intensity of bedding fractures in continental shale, effectively improving the accuracy of the prediction results for the development intensity of bedding fractures in continental shale.

[0059] For example, Figure 5 As shown, a method for predicting the development intensity of continental shale bedding fractures is provided in the embodiments of the present application, which is as follows: The present application provides a quantitative prediction method for the intensity of bedding fracture development in continental shale. Based on multi-scale data such as core and well logging, a classification evaluation model for three different main controlling factors of the intensity of bedding fracture development in continental shale is established. The relationship between the intensity of bedding fracture development in continental shale and each main controlling factor is normalized with appropriate indicators, and weights are assigned to the main controlling factors and the normalized data of the intensity of bedding fracture development in continental shale. On this basis, a universal prediction formula for the intensity of bedding fracture development in continental shale applicable to the block is established to achieve quantitative prediction of the intensity of bedding fracture development in different locations in the study area, thereby solving the problems of high cost and lack of simple quantitative evaluation methods in the prediction of the intensity of bedding fracture development in continental shale layers.

[0060] In the first step, for continental shale, the lamination type, lamination line density, organic carbon content (TOC) and bedding fracture development intensity of different well sections are obtained through observation and analysis of core and logging data. For example, the main controlling factor analysis results of continental shale bedding fracture development of continental shale rock samples in the same area of ​​the X block study block are selected to extract the corresponding relationship between each main controlling factor and the bedding fracture development intensity.

[0061] The second step is to establish the correlation between lamina type, lamina line density and organic carbon content (TOC) and the intensity of bedding fracture development.

[0062] The third step is to fit the linear relationship curve between the lamina line density and the organic carbon content (TOC) and the intensity of the bedding fracture development. For example, based on the relationship data between the lamina line density and the bedding fracture density in Block X, the functional relationship between the lamina line density and the bedding fracture density is fitted:

[0063] Based on the data of the relationship between organic carbon content (TOC) and bedding suture density, the functional relationship between organic carbon content (TOC) and bedding suture density is fitted:

[0064] The fourth step is to assign weights of 0.7, 0.1 and 0.2 respectively based on the influence of laminae type, laminae line density and organic carbon content (TOC) on the intensity of laminae fracture development in continental shale; The fifth step is to calculate the quantitative evaluation results of the development intensity of stratification fractures in continental shale based on lamina type, lamina line density and organic carbon content (TOC).

[0065] The specific calculation formula is as follows: ……………………………………(1) ………………………………(2) (i=1,2,3)…………………………(3) …………………………(4) Where: is the density of bedding lines controlled by the density of laminae, cm -1 ; is the layer line density, cm -1 ; is the density of bedding seams controlled by organic carbon content (TOC), cm -1 ; is the organic carbon content (TOC), %; is the correlation coefficient of the fitting curve, dimensionless; is the weight coefficient, dimensionless; is the predicted value of the development intensity of bedding fractures in continental shale, cm -1 ; is the density of bedding sutures controlled by different laminae types, cm -1 .

[0066] This application aims at the high cost and limitations of existing predictions of the intensity of bedding fracture development in continental shale layers, overcomes the limitations of traditional prediction methods for the intensity of bedding fracture development, and integrates multi-scale data such as cores and well logging, multi-parameter data, and combines the correlation between different influencing factors and the intensity of bedding fracture development in continental shale. A quantitative prediction method for the intensity of bedding fracture development in continental shale is established. This method quantifies the relative contribution of the main controlling factors of bedding fracture development, constructs a universal prediction formula, and significantly improves the prediction accuracy and efficiency. Compared with traditional methods, the present invention can quickly evaluate the intensity of bedding fracture development in different blocks of the study area, avoid repeated statistical analysis, and reduce the cost of exploration and development. At the same time, this method is applicable to a variety of geological conditions of continental shale layers and has a strong promotion value. By realizing the efficient and accurate prediction of the intensity of bedding fracture development in continental shale layers, this application provides strong technical support for the economic and refined development of unconventional oil and gas resources, which helps to accelerate the exploration and utilization of unconventional oil and gas resources in my country. The method in the embodiments of the present application will significantly improve the prediction efficiency of the study area, reduce the cost of exploration and development, and provide technical support for the efficient development of continental shale reservoirs.

[0067] The following is a description of the prediction device for the development strength of fractures in continental shale provided by the present invention. The prediction device for the development strength of fractures in continental shale described below and the prediction method for the development strength of fractures in continental shale described above can be referred to each other. Figure 6 As shown, including: The acquisition module 610 is used to acquire the measurement information of the continental shale; the measurement information includes the lamination type, lamination line density and organic carbon content of the continental shale; A determination module 620 is used to determine a first fitting relationship between the laminae density of the continental shale and the intensity of the development of the bedding fractures of the continental shale, and a second fitting relationship between the organic carbon content of the continental shale and the intensity of the development of the bedding fractures of the continental shale; A modeling module 630 is used to determine a prediction model for the development intensity of continental shale bedding fractures according to the continental shale bedding fracture development intensity corresponding to the lamination type of the continental shale, the first fitting relationship and the second fitting relationship; The prediction module 640 is used to predict the development intensity of the bedding fractures in the continental shale according to the prediction model of the development intensity of the bedding fractures in the continental shale.

[0068] Optionally, the first fitting relationship includes: ; in, The first fitting relationship between the laminae density of continental shale and the intensity of the bedding fracture development of continental shale is shown; is the laminae density of continental shale; A and B represent fitting parameters; The second fitting relationship includes: ; in, ) represents the second fitting relationship between the organic carbon content of continental shale and the intensity of bedding fracture development in continental shale; z is the organic carbon content of continental shale; C and D represent fitting parameters.

[0069] Optionally, the modeling module 630 is specifically configured to: The lamination type of continental shale corresponding to the lamination intensity of continental shale is used as the first fitting element; The first fitting relationship is used as the second fitting element; The second fitting relationship is used as the third fitting element; According to the first fitting element, the second fitting element and the third fitting element, a prediction model for the development intensity of bedding fractures in continental shale is determined.

[0070] Optionally, the prediction model of the intensity of the development of continental shale bedding fractures includes: ； in, A prediction model for the intensity of bedding fracture development in continental shale; Indicates the lamination type of continental shale corresponding to the intensity of the lamination fracture development of continental shale; represents the first fitting relationship; represents the second fitting relationship; , , Represents weight.

[0071] Optionally, the prediction module 640 is specifically used for: The measured lamination type, lamination line density and organic carbon content of the continental shale are input into the prediction model of the development intensity of the bedding fractures in the continental shale to obtain the prediction result of the development intensity of the bedding fractures in the continental shale.

[0072] Optionally, the acquisition module 610 is specifically configured to: The measurement information of continental shale is obtained based on at least one of the following methods: field outcrop, core description, cast thin section analysis, well logging and imaging logging.

[0073] Figure 7An example physical structure diagram of an electronic device is shown, which may include: a processor (processor) 710, a communication interface (Communications Interface) 720, a memory (memory) 730 and a communication bus 740, wherein the processor 710, the communication interface 720, and the memory 730 communicate with each other through the communication bus 740. The processor 710 can call the logic instructions in the memory 730 to execute a method for predicting the intensity of bedding fracture development in continental shale, the method comprising: obtaining measurement information of continental shale; the measurement information comprises the lamination type, lamination line density and organic carbon content of the continental shale; determining a first fitting relationship between the lamination line density of the continental shale and the intensity of bedding fracture development in the continental shale, and a second fitting relationship between the organic carbon content of the continental shale and the intensity of bedding fracture development in the continental shale; determining a prediction model for the intensity of bedding fracture development in the continental shale according to the intensity of bedding fracture development in the continental shale corresponding to the lamination type of the continental shale, the first fitting relationship and the second fitting relationship; and predicting the intensity of bedding fracture development in the continental shale according to the prediction model for the intensity of bedding fracture development in the continental shale.

[0074] In addition, the logic instructions in the above-mentioned memory 730 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0075] On the other hand, the present invention also provides a computer program product, which includes a computer program, and the computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the prediction method for the development intensity of continental shale bedding fractures provided by the above-mentioned methods, and the method includes: obtaining measurement information of continental shale; the measurement information includes the lamination type, lamination line density and organic carbon content of the continental shale; determining a first fitting relationship between the lamination line density of the continental shale and the development intensity of the continental shale bedding fractures, and a second fitting relationship between the organic carbon content of the continental shale and the development intensity of the continental shale bedding fractures; determining a prediction model for the development intensity of continental shale bedding fractures according to the continental shale bedding fracture development intensity corresponding to the lamination type of the continental shale, the first fitting relationship and the second fitting relationship; and predicting the development intensity of continental shale bedding fractures according to the prediction model for the development intensity of continental shale bedding fractures.

[0076] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the prediction method for the intensity of bedding fracture development in continental shale provided by the above-mentioned methods, the method comprising: obtaining measurement information of continental shale; the measurement information comprises the lamination type, lamination line density and organic carbon content of the continental shale; determining a first fitting relationship between the lamination line density of the continental shale and the intensity of bedding fracture development in the continental shale, and a second fitting relationship between the organic carbon content of the continental shale and the intensity of bedding fracture development in the continental shale; determining a prediction model for the intensity of bedding fracture development in the continental shale according to the intensity of bedding fracture development in the continental shale corresponding to the lamination type of the continental shale, the first fitting relationship and the second fitting relationship; and predicting the intensity of bedding fracture development in the continental shale according to the prediction model for the intensity of bedding fracture development in the continental shale.

[0077] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0078] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for predicting the development intensity of continental shale bedding fractures, characterized in that: include: Acquiring measurement information of continental shale; the measurement information includes lamination type, lamination line density and organic carbon content of the continental shale; Determine a first fitting relationship between the laminae line density of the continental shale and the intensity of the development of bedding fractures in the continental shale, and a second fitting relationship between the organic carbon content of the continental shale and the intensity of the development of bedding fractures in the continental shale; Determining a prediction model for the development intensity of continental shale bedding fractures according to the continental shale bedding fracture development intensity corresponding to the lamination type of the continental shale, the first fitting relationship, and the second fitting relationship; According to the prediction model of the development intensity of bedding fractures in continental shale, the development intensity of bedding fractures in continental shale is predicted.

2. The method for predicting the development intensity of continental shale bedding fractures according to claim 1, characterized in that: The first fitting relationship includes: ； in, The first fitting relationship between the laminae density of continental shale and the intensity of the bedding fracture development of continental shale is shown; is the laminae density of continental shale; A and B represent fitting parameters; The second fitting relationship includes: ； in, represents the second fitting relationship between the organic carbon content of the continental shale and the intensity of the development of bedding fractures in the continental shale; z is the organic carbon content of the continental shale; C and D represent fitting parameters.

3. The method for predicting the development intensity of continental shale bedding fractures according to claim 2, characterized in that: The method of determining a prediction model for the development intensity of continental shale bedding fractures according to the continental shale bedding fracture development intensity corresponding to the lamination type of the continental shale, the first fitting relationship and the second fitting relationship comprises: The lamination type of the continental shale corresponds to the lamination intensity of the continental shale as the first fitting element; Using the first fitting relationship as the second fitting element; Using the second fitting relationship as the third fitting element; A prediction model for the development intensity of bedding fractures in continental shale is determined based on the first fitting element, the second fitting element and the third fitting element.

4. The method for predicting the development intensity of continental shale bedding fractures according to claim 3, characterized in that: The prediction model for the development intensity of continental shale bedding fractures includes: ； in, A prediction model for the intensity of bedding fracture development in continental shale; Indicates the lamination type of continental shale corresponding to the intensity of the lamination fracture development of continental shale; represents the first fitting relationship; represents the second fitting relationship; , , Represents weight.

5. The method for predicting the development intensity of continental shale bedding fractures according to any one of claims 1 to 4, characterized in that: The prediction of the intensity of the development of the bedding fractures in the continental shale according to the prediction model of the intensity of the development of the bedding fractures in the continental shale comprises: The measured lamination type, lamination line density, and organic carbon content of the continental shale are input into the prediction model of the development intensity of the bedding fractures of the continental shale to obtain the prediction result of the development intensity of the bedding fractures of the continental shale.

6. The method for predicting the development intensity of continental shale bedding fractures according to any one of claims 1 to 4, characterized in that: The obtaining of measurement information of continental shale includes: The measurement information of the continental shale is obtained based on at least one of field outcrops, core description, cast thin section analysis, well logging and imaging logging.

7. A device for predicting the development intensity of continental shale bedding fractures, characterized in that: include: An acquisition module, used to acquire measurement information of continental shale; the measurement information includes lamination type, lamination line density and organic carbon content of the continental shale; A determination module, used to determine a first fitting relationship between the laminae density of the continental shale and the intensity of the development of bedding fractures in the continental shale, and a second fitting relationship between the organic carbon content of the continental shale and the intensity of the development of bedding fractures in the continental shale; A modeling module, for determining a prediction model for the development intensity of continental shale bedding fractures according to the continental shale bedding fracture development intensity corresponding to the lamination type of the continental shale, the first fitting relationship and the second fitting relationship; The prediction module is used to predict the development intensity of the continental shale bedding fractures according to the prediction model of the development intensity of the continental shale bedding fractures.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for predicting the intensity of the development of stratification fractures in continental shale as claimed in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for predicting the intensity of the development of stratification fractures in continental shale as claimed in any one of claims 1 to 6 is implemented.

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