Method, device and system for determining the compressibility of a shale oil reservoir

Abstract

This application provides a method, apparatus, and system for determining the compressibility of shale oil reservoirs. The method includes: acquiring compressibility evaluation parameters for shale oil reservoirs, whereby these parameters are data corresponding to factors influencing the compressibility of the shale oil reservoir; analyzing these parameters using a dimensionality reduction method to obtain independent evaluation parameters; calculating a compressibility index based on the independent evaluation parameters; and determining the compressibility of the shale oil reservoir based on the compressibility index. This method uses a dimensionality reduction method to analyze the aforementioned compressibility evaluation parameters to obtain independent evaluation parameters, facilitating the calculation of the compressibility index. Based on this index, the compressibility of the shale oil reservoir is determined. Compared to methods that determine reservoir compressibility solely through brittleness indices or experimental methods such as clay mineral content, this method comprehensively considers multiple compressibility evaluation parameters that influence the compressibility of shale oil reservoirs, resulting in a more comprehensive analysis and improved accuracy in compressibility evaluation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of shale oil development, in particular to a shale oil reservoir compressibility determination method and device, computer readable storage medium, processor and compressibility determination system. BACKGROUND

[0002] In the development of oil fields, hydraulic fracturing technology has been widely used in oil fields to improve recovery, but due to complex geological conditions, strong reservoir heterogeneity, and difficulty in forming fracture network, the lithology of the reservoir varies greatly, and effective compressibility evaluation is needed to make accurate understanding of the reservoir so as to improve the existing technology and achieve better fracturing effect. Factors such as reservoir brittleness, rock mechanics, natural fractures, and stress, and bedding all affect the expansion of hydraulic fracturing fractures, but the evaluation process and method are relatively complicated, and the application effect is different due to different reservoir types. There are many studies on reservoir compressibility, and the research ideas and methods are basically core experiment evaluation and compressibility coefficient evaluation; there are few studies on the compressibility of shale oil reservoirs, and the number of published literature and related research is very small, which brings a lot of tests to the applicability, effectiveness, and convenience of shale oil reservoir compressibility evaluation.

[0003] At present, from the published literature and patents, there are many methods for evaluating the compressibility of shale reservoirs, and scholars' research on shale compressibility mainly focuses on the study of shale brittleness index. In 2007, Jarvie et al. proposed a method for using the relative content of brittle minerals in the total amount of rock minerals to represent the brittleness of shale, and believed that quartz is the only brittle mineral, and the proportion of quartz mineral content in the total amount of rock minerals is used to represent the strength of rock brittleness. The greater the proportion of quartz mineral, the stronger the brittleness.

[0004] In 2009, Wang and Gale conducted more in-depth research on the basis of Jarvie's research results, and came to a different view that brittle minerals should not only include quartz, but also dolomite. Other views similar to Jarvie believe that the higher the total content of quartz and dolomite in the reservoir, the higher the brittleness of the shale reservoir.

[0005] In 2014, Hou Bing et al. borrowed the successful fracturing experience of typical shale gas fields, explored the shale fracturability evaluation system from three aspects of geological evaluation index, shale volume fracturing evaluation index and engineering technology evaluation index, evaluated the geological characteristics of shale gas reservoirs, determined the total geological reserves, geological "sweet spot" area, maturity and the like, obtained the data of rock brittleness, natural fracture, formation dip angle, ground stress and the like of the reservoir, evaluated the feasibility of forming volume fractures of the reservoir, and discussed the engineering technology indexes such as fracturing stimulation mode, perforation mode and fracturing fluid performance. The dominant factors affecting the reservoir fracturability are selected, the indexes most directly reflecting the shale geomechanical fracturability are selected, and an evaluation index system of the shale gas reservoir fracturability suitable for the complex geological and engineering conditions is established.

[0006] In 2015, Zhao Jinzhou et al. proposed an evaluation method for characterizing the shale fracturability by comprehensively considering the characteristics of shale brittleness, fracture toughness and natural weak plane. He believed that the factors affecting the fracturability include shale brittleness, fracture toughness and natural weak plane (joint, bedding, fracture, fault and sedimentary bedding plane). In 2015, Li Zhi et al. carried out hydraulic fracturing experiments under true triaxial experimental conditions, used an acoustic emission system to detect the hydraulic fracturing process, and used CT scanning and rock sample sectioning to determine that the natural bedding weak plane shale has an important influence on the initiation and expansion of the hydraulic main fracture and the expansion of the bedding plane in the fracturing process.

[0007] Comprehensively, the above methods have different emphases and different factors, there is cross influence between the factors, although they have certain guiding effect on the shale fracturability and the post-fracturing effect, but the applicability to the shale oil reservoirs is certainly deviated.

[0008] The above information disclosed in the background art section is only used to enhance the understanding of the background art of the technology described herein, therefore, some information in the background art may contain information which is not known to the prior art in the country. SUMMARY

[0009] The main purpose of the present application is to provide a shale oil reservoir fracturability determination method, a shale oil reservoir fracturability determination device, a computer readable storage medium, a processor and a shale oil reservoir fracturability determination system, so as to solve the problem of poor fracturing effect caused by inaccurate fracturability evaluation in the prior art.

[0010] According to an aspect of an embodiment of the present application, a shale oil reservoir fracturability determination method is provided, comprising: obtaining shale oil reservoir fracturability evaluation parameters, the shale oil reservoir fracturability evaluation parameters being data corresponding to factors affecting the shale oil reservoir fracturability; analyzing the shale oil reservoir fracturability evaluation parameters by using a dimension reduction method to obtain independent evaluation parameters; calculating a fracturability index according to the independent evaluation parameters; and determining the shale oil reservoir fracturability according to the fracturability index.

[0011] Optionally, the obtainability evaluation parameter of the shale oil reservoir is obtained, including: obtaining well logging interpretation data and rock mechanics experiment data of the shale oil reservoir, the well logging interpretation data being data detected by well logging operation, and the rock mechanics experiment data being data recorded by rock mechanics experiment; a one-dimensional rock mechanics profile is established according to the well logging interpretation data and the rock mechanics experiment data, and the obtainability evaluation parameter is obtained.

[0012] Optionally, the obtainability evaluation parameter includes overburden pressure, confining pressure, pore pressure, minimum horizontal principal stress, maximum horizontal principal stress, Young's modulus, Poisson's ratio, rock type, GR logging curve, RT logging curve and AC logging curve.

[0013] Optionally, the obtainability evaluation parameter is analyzed by using a dimension reduction method to obtain an independent evaluation parameter, including: the independent evaluation parameter is calculated according to the obtainability evaluation parameter.

[0014] Optionally, the independent evaluation parameter includes fracture toughness index, brittleness index and horizontal stress difference coefficient, and an obtainability index is calculated according to the independent evaluation parameter, including: regression analysis is performed on the fracture toughness index, the brittleness index and the horizontal stress difference coefficient to obtain a first weight coefficient, a second weight coefficient and a third weight coefficient, the first weight coefficient being a weight coefficient of the fracture toughness index, the second weight coefficient being a weight coefficient of the brittleness index, and the third weight coefficient being a weight coefficient of the horizontal stress difference coefficient; the obtainability index is calculated according to the fracture toughness index, the brittleness index, the horizontal stress difference coefficient, the first weight coefficient, the second weight coefficient and the third weight coefficient.

[0015] Optionally, the obtainability of the shale oil reservoir is determined according to the obtainability index, including: in a case where the obtainability index is greater than or equal to 0 and less than 0.1, the obtainability of the shale oil reservoir is incompressible; in a case where the obtainability index is greater than or equal to 0.1 and less than 0.4, the obtainability of the shale oil reservoir is single fracture; in a case where the obtainability index is greater than or equal to 0.4 and less than 0.6, the obtainability of the shale oil reservoir is multiple fractures; in a case where the obtainability index is greater than or equal to 0.6 and less than 0.7, the obtainability of the shale oil reservoir is a transition state of multiple fractures and fracture network; and in a case where the obtainability index is greater than or equal to 0.7 and less than or equal to 1, the obtainability of the shale oil reservoir is fracture network.

[0016] According to another aspect of the embodiments of the present application, there is also provided a device for determining the compactibility of a shale oil reservoir, comprising: an acquisition unit configured to acquire compactibility evaluation parameters of the shale oil reservoir, the compactibility evaluation parameters being data corresponding to factors affecting the compactibility of the shale oil reservoir; an analysis unit configured to analyze the compactibility evaluation parameters using a dimension reduction method to obtain independent evaluation parameters; a calculation unit configured to calculate a compactibility index according to the independent evaluation parameters; and a determination unit configured to determine the compactibility of the shale oil reservoir according to the compactibility index.

[0017] According to still another aspect of the embodiments of the present application, there is also provided a computer readable storage medium comprising a stored program, wherein the program performs any of the methods.

[0018] According to yet another aspect of the embodiments of the present application, there is also provided a processor configured to run a program, wherein the program performs any of the methods when running.

[0019] According to still another aspect of the embodiments of the present application, there is also provided a compactibility determination system comprising a compactibility determination device configured to perform any of the methods.

[0020] In the compactibility determination method for a shale oil reservoir according to the embodiments of the present application, first, compactibility evaluation parameters of the shale oil reservoir are acquired, the compactibility evaluation parameters being data corresponding to factors affecting the compactibility of the shale oil reservoir; the compactibility evaluation parameters are analyzed using a dimension reduction method to obtain independent evaluation parameters; a compactibility index is calculated according to the independent evaluation parameters; and the compactibility of the shale oil reservoir is determined according to the compactibility index. The compactibility determination method uses a dimension reduction method to analyze the compactibility evaluation parameters to obtain independent evaluation parameters, so as to calculate a compactibility index, and then determine the compactibility of the shale oil reservoir according to the compactibility index. Compared with the prior art, which only determines the compactibility of a reservoir by a brittleness index and experimental methods such as clay mineral content, the compactibility determination method comprehensively considers various compactibility evaluation parameters that affect the compactibility of a shale oil reservoir, and the analysis and evaluation are more comprehensive, the accuracy of compactibility evaluation is improved, and the problem of poor fracturing effect caused by inaccurate compactibility evaluation in the prior art is solved. BRIEF DESCRIPTION OF DRAWINGS

[0021] The accompanying drawings, which form a part of the present application, are intended to provide further understanding of the present application and are incorporated herein for a purpose of explanations and are not intended to limit the present application. In the drawings:

[0022] Figure 1 A flow chart of a compactibility determination method for a shale oil reservoir according to an embodiment of the present application is shown.

[0023] Figure 2 A schematic diagram of a shale oil reservoir compressibility determination device is shown according to an embodiment of the present application;

[0024] Figure 3 A schematic diagram of a shale oil reservoir compressibility determination device is shown according to an embodiment of the present application;

[0025] Figure 4 A schematic diagram of a shale oil reservoir compressibility determination device is shown according to an embodiment of the present application; DETAILED DESCRIPTION

[0026] It should be noted that the embodiments and features of the embodiments in the present application can be combined with each other without conflict. The technical solutions in the embodiments of the present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0027] In order to enable persons skilled in the art to better understand the scheme of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in combination with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by persons skilled in the art without creative labor should belong to the scope of protection of the present application.

[0028] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described accompanying drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] It should be understood that when an element (such as a layer, film, region, or substrate) is described as "on" another element, it can be directly on the other element, or there can be an intermediate element. Also, in the specification and claims, when an element is described as "connected to" another element, it can be "directly connected to" the other element, or "connected to" the other element through a third element.

[0030] As described in the background, the poor fracturing effect caused by the inaccurate compressibility evaluation in the prior art, in order to solve the above problems, in a typical embodiment of the present application, a shale oil reservoir compressibility determination method, a determination device, a computer readable storage medium, a processor and a compressibility determination system are provided.

[0031] According to the embodiments of the present application, a shale oil reservoir compressibility determination method is provided.

[0032] Figure 1 is a flowchart of the shale oil reservoir compressibility determination method according to the embodiments of the present application. As shown in Figure 1 , the method comprises the following steps:

[0033] Step S101, obtaining the compressibility evaluation parameters of the shale oil reservoir, the compressibility evaluation parameters being data corresponding to influencing factors of the compressibility of the shale oil reservoir;

[0034] Step S102, analyzing the compressibility evaluation parameters by using the dimension reduction method to obtain independent evaluation parameters;

[0035] Step S103, calculating the compressibility index according to the independent evaluation parameters;

[0036] Step S104, determining the compressibility of the shale oil reservoir according to the compressibility index.

[0037] In the shale oil reservoir compressibility determination method, first, the compressibility evaluation parameters of the shale oil reservoir are obtained, the compressibility evaluation parameters being data corresponding to influencing factors of the compressibility of the shale oil reservoir; the compressibility evaluation parameters are analyzed by using the dimension reduction method to obtain independent evaluation parameters; the compressibility index is calculated according to the independent evaluation parameters; and the compressibility of the shale oil reservoir is determined according to the compressibility index. The compressibility determination method uses the dimension reduction method to analyze the compressibility evaluation parameters to obtain independent evaluation parameters, so as to calculate the compressibility index, and then determine the compressibility of the shale oil reservoir according to the compressibility index. Compared with the prior art, which only determines the compressibility of the reservoir by using the brittleness index and experimental methods such as clay mineral content, the compressibility determination method comprehensively considers various compressibility evaluation parameters that have an impact on the compressibility of the shale oil reservoir, the analysis and evaluation are more comprehensive, the accuracy of the compressibility evaluation is improved, and the problem of poor fracturing effect caused by inaccurate compressibility evaluation in the prior art is solved.

[0038] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a group of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0039] In an embodiment of the present application, the compressibility evaluation parameter of the shale oil reservoir is obtained, including: obtaining logging interpretation data and rock mechanics experimental data of the shale oil reservoir, the logging interpretation data being data detected by logging operation, and the rock mechanics experimental data being data recorded by rock mechanics experiment; establishing a one-dimensional rock mechanics profile according to the logging interpretation data and the rock mechanics experimental data to obtain the compressibility evaluation parameter. Specifically, the one-dimensional rock mechanics profile is established by software interpretation such as Meyer, Gofher and Techlog, and the one-dimensional rock mechanics profile of the well is obtained by combining the core rock mechanics experiment of the area, dynamic and static combination and correction, so as to determine the compressibility evaluation parameter.

[0040] In an embodiment of the present application, the compressibility evaluation parameter includes overburden pressure, confining pressure, pore pressure, minimum horizontal principal stress, maximum horizontal principal stress, Young's modulus, Poisson's ratio, rock type, GR logging curve, RT logging curve and AC logging curve. Specifically, the compressibility evaluation parameter is an influencing factor of the compressibility of the shale oil reservoir, and the person skilled in the art can select appropriate compressibility evaluation parameters according to the actual situation for different oil wells.

[0041] In an embodiment of the present application, the compressibility evaluation parameter is analyzed by dimension reduction method to obtain independent evaluation parameters, including: calculating the independent evaluation parameters according to the compressibility evaluation parameters. Specifically, the compressibility evaluation parameters obtained by rock mechanics are input into SPSS software to perform principal component and factor dimension reduction analysis, analyze the correlation between the parameters, and reduce the compressibility parameters to three independent parameters that can represent the compressibility of the shale oil, i.e. the independent evaluation parameters.

[0042] In an embodiment of the present application, the independent evaluation parameters include fracture toughness index, brittleness index and horizontal stress difference coefficient, the compressibility index is calculated according to the independent evaluation parameters, including: performing regression analysis on the fracture toughness index, the brittleness index and the horizontal stress difference coefficient to obtain a first weight coefficient, a second weight coefficient and a third weight coefficient, the first weight coefficient being the weight coefficient of the fracture toughness index, the second weight coefficient being the weight coefficient of the brittleness index, and the third weight coefficient being the weight coefficient of the horizontal stress difference coefficient; the compressibility index is calculated according to the fracture toughness index, the brittleness index, the horizontal stress difference coefficient, the first weight coefficient, the second weight coefficient and the third weight coefficient. Specifically, the calculation formula of the fracture toughness index K ic is wherein, T is the average stress, the unit is MPa, a c is the crack length, the unit is mm, the brittleness index R BritThe calculation formula of the horizontal stress difference coefficient K Where YM Brit is the Young's modulus coefficient, dimensionless, YM Brit =(0.1YM-1) / 7, YM is the Young's modulus, PR Brit is the Poisson's ratio coefficient, dimensionless, PR Brit =(PR-0.4) / (0.15-0.4), PR is the Poisson's ratio, the calculation formula of the above horizontal stress difference coefficient K h Where σ H is the maximum horizontal principal stress, unit MPa, σ h is the minimum horizontal principal stress, unit MPa, the calculation formula of the compressibility F n =β1K ic +β2K h +β3R Brit , the correlation of the compressibility evaluation parameters is analyzed by SPASS regression analysis, the compressibility evaluation parameters are quantified in dimensionless, the grey correlation method is used to obtain the correlation coefficient parameters, the weight values of the compressibility evaluation parameters, i.e. β1, β2 and β3, are obtained, for example, the compressibility index formula of an oil well in Xinjiang is F n =0.184K ic +0.341K h +0.474R Brit .

[0043] In an embodiment of the present application, the compressibility of the shale oil reservoir is determined according to the above compressibility index, including: in the case that the compressibility index is greater than or equal to 0 and less than 0.1, the compressibility of the shale oil reservoir is incompressible; in the case that the compressibility index is greater than or equal to 0.1 and less than 0.4, the compressibility of the shale oil reservoir is single fracture; in the case that the compressibility index is greater than or equal to 0.4 and less than 0.6, the compressibility of the shale oil reservoir is multiple fractures; in the case that the compressibility index is greater than or equal to 0.6 and less than 0.7, the compressibility of the shale oil reservoir is the transition state of multiple fractures and fracture network; in the case that the compressibility index is greater than or equal to 0.7 and less than or equal to 1, the compressibility of the shale oil reservoir is fracture network. Specifically, the value range of the compressibility index is 0-1, 0 represents complete incompressibility, 1 represents the formation of very ideal fracture network effect, and the compressibility standard suitable for the above is formed by comparing the previous fracturing well construction curve comparison and the single well brittleness parameter distribution range.

[0044] ​The embodiment of the present application further provides a shale oil reservoir compressibility determination device. It should be noted that the shale oil reservoir compressibility determination device of the embodiment of the present application can be used to execute the shale oil reservoir compressibility determination method provided by the embodiment of the present application. The shale oil reservoir compressibility determination device provided by the embodiment of the present application is introduced as follows.

[0045] Figure 2 is a schematic diagram of the shale oil reservoir compressibility determination device according to the embodiment of the present application. As shown in the figure, Figure 2 the device comprises:

[0046] an acquisition unit 10 configured to acquire shale oil reservoir compressibility evaluation parameters, wherein the shale oil reservoir compressibility evaluation parameters are data corresponding to factors affecting the compressibility of the shale oil reservoir;

[0047] an analysis unit 20 configured to analyze the shale oil reservoir compressibility evaluation parameters by using a dimension reduction method to obtain independent evaluation parameters;

[0048] a calculation unit 30 configured to calculate a compressibility index according to the independent evaluation parameters;

[0049] a determination unit 40 configured to determine the compressibility of the shale oil reservoir according to the compressibility index.

[0050] In the shale oil reservoir compressibility determination device, the acquisition unit acquires shale oil reservoir compressibility evaluation parameters, wherein the shale oil reservoir compressibility evaluation parameters are data corresponding to factors affecting the compressibility of the shale oil reservoir; the analysis unit analyzes the shale oil reservoir compressibility evaluation parameters by using a dimension reduction method to obtain independent evaluation parameters; the calculation unit calculates a compressibility index according to the independent evaluation parameters; and the determination unit determines the compressibility of the shale oil reservoir according to the compressibility index. The compressibility determination device analyzes the shale oil reservoir compressibility evaluation parameters by using a dimension reduction method to obtain independent evaluation parameters, so as to calculate a compressibility index, and then determine the compressibility of the shale oil reservoir according to the compressibility index. Compared with the prior art, which only determines the compressibility of the reservoir by using a brittleness index and experimental methods such as clay mineral content, the compressibility determination device comprehensively considers various shale oil reservoir compressibility evaluation parameters that affect the compressibility of the shale oil reservoir, analyzes and evaluates more comprehensively, improves the accuracy of the compressibility evaluation, and solves the problem of poor fracturing effect caused by inaccurate compressibility evaluation in the prior art.

[0051] In an embodiment of the present application, the obtaining unit comprises an obtaining module and a establishing module. The obtaining module is configured to obtain well logging interpretation data and rock mechanics experimental data of the shale oil reservoir. The well logging interpretation data is data detected by well logging operation, and the rock mechanics experimental data is data recorded by rock mechanics experiment. The establishing module is configured to establish a one-dimensional rock mechanics profile according to the well logging interpretation data and the rock mechanics experimental data, and obtain the compressibility evaluation parameter. Specifically, the one-dimensional rock mechanics profile is established by software interpretation such as Meyer, Gofher and Techlog, and the one-dimensional rock mechanics profile of the well is obtained by combining the rock core rock mechanics experiment in the region, combining and correcting the dynamic and static states, so as to determine the compressibility evaluation parameter.

[0052] In an embodiment of the present application, the compressibility evaluation parameter comprises overburden pressure, confining pressure, pore pressure, minimum horizontal principal stress, maximum horizontal principal stress, Young's modulus, Poisson's ratio, rock type, GR logging curve, RT logging curve and AC logging curve. Specifically, the compressibility evaluation parameter is an influencing factor of the compressibility of the shale oil reservoir, and the person skilled in the art can select a suitable compressibility evaluation parameter according to the actual situation for different oil wells.

[0053] In an embodiment of the present application, the analysis unit comprises a first calculation module. The first calculation module is configured to calculate the independent evaluation parameter according to the compressibility evaluation parameter. Specifically, the compressibility evaluation parameter obtained by the rock mechanics is input into the SPSS software, principal component and factor dimension reduction analysis are performed, the correlation between the parameters is analyzed, the compressibility parameter is reduced to three independent parameters which can represent the compressibility of the shale oil, and the independent evaluation parameter is obtained.

[0054] In an embodiment of the present application, the independent evaluation parameter comprises fracture toughness index, brittleness index and horizontal stress difference coefficient. The calculation unit comprises a second calculation module and a third calculation module. The second calculation module is configured to perform regression analysis on the fracture toughness index, the brittleness index and the horizontal stress difference coefficient, and obtain a first weight coefficient, a second weight coefficient and a third weight coefficient. The first weight coefficient is the weight coefficient of the fracture toughness index, the second weight coefficient is the weight coefficient of the brittleness index, and the third weight coefficient is the weight coefficient of the horizontal stress difference coefficient. The third calculation module is configured to calculate the compressibility index according to the fracture toughness index, the brittleness index, the horizontal stress difference coefficient, the first weight coefficient, the second weight coefficient and the third weight coefficient. Specifically, the calculation formula of the fracture toughness index K ic is wherein, T is the average stress, the unit is MPa, a ca is the brittle index R, unit is mm, the above-mentioned brittle index R Brit The calculation formula is Wherein, YM Brit is the Young's modulus coefficient, dimensionless, YM Brit =(0.1YM-1) / 7, YM is the Young's modulus, PR Brit is the Poisson's ratio coefficient, dimensionless, PR Brit =(PR-0.4) / (0.15-0.4), PR is the Poisson's ratio, the calculation formula of the above-mentioned horizontal stress difference coefficient K h is Wherein, σ H is the maximum horizontal principal stress, unit is MPa, σ h is the minimum horizontal principal stress, unit is MPa, the calculation formula of the compressibility F n =β1K ic +β2K h +β3R Brit , the correlation of the compressibility evaluation parameters is analyzed by SPASS regression analysis, the compressibility evaluation parameters are quantified, the grey correlation method is used to obtain the correlation coefficient parameters, the weight values of the compressibility evaluation parameters are obtained, that is, β1, β2 and β3, for example, the compressibility index formula of an oil well in Xinjiang is F n =0.184K ic +0.341K h +0.474R Brit .

[0055] In an embodiment of the present application, the determination unit includes a first determination module, a second determination module, a third determination module, a fourth determination module and a fifth determination module, wherein the first determination module is used to determine that the compressibility of the shale oil reservoir is incompressible when the compressibility index is greater than or equal to 0 and less than 0.1; the second determination module is used to determine that the compressibility of the shale oil reservoir is single crack when the compressibility index is greater than or equal to 0.1 and less than 0.4; the third determination module is used to determine that the compressibility of the shale oil reservoir is multi-crack when the compressibility index is greater than or equal to 0.4 and less than 0.6; the fourth determination module is used to determine that the compressibility of the shale oil reservoir is the transition state of multi-crack and crack network when the compressibility index is greater than or equal to 0.6 and less than 0.7; the fifth determination module is used to determine that the compressibility of the shale oil reservoir is crack network when the compressibility index is greater than or equal to 0.7 and less than or equal to 1. Specifically, the value range of the compressibility index is 0-1, 0 represents complete incompressibility, 1 represents the formation of very ideal crack network effect, and the compressibility standard is formed by comparing the previous fracturing well construction curve comparison and the single well brittleness parameter distribution range.

[0056] The embodiment of the present application also provides a crushability determination system comprising the crushability determination device, wherein the crushability determination device is used to execute any one of the above methods.

[0057] In the crushability determination system, the crushability determination device comprises a shale oil reservoir, a data acquisition unit acquires crushability evaluation parameters of the shale oil reservoir, the crushability evaluation parameters are data corresponding to factors affecting the crushability of the shale oil reservoir; an analysis unit analyzes the crushability evaluation parameters by using a dimension reduction method to obtain independent evaluation parameters; a calculation unit calculates a crushability index according to the independent evaluation parameters; and a determination unit determines the crushability of the shale oil reservoir according to the crushability index. The crushability determination device analyzes the crushability evaluation parameters by using the dimension reduction method to obtain the independent evaluation parameters, so as to calculate the crushability index, and then determine the crushability of the shale oil reservoir according to the crushability index. Compared with the prior art, the method only determines the crushability of the reservoir by using the brittleness index and the experimental method of the clay mineral content, and comprehensively considers various crushability evaluation parameters that affect the crushability of the shale oil reservoir, so that the analysis and evaluation are more comprehensive, the accuracy of the crushability evaluation is improved, and the problem of poor fracturing effect caused by inaccurate crushability evaluation in the prior art is solved.

[0058] In order for those skilled in the art to more clearly understand the technical solutions of the present application, the technical solutions of the present application will be described below in conjunction with specific embodiments.

[0059] Embodiments

[0060] The crushability of the reservoir of a certain oilfield well area is analyzed, and the analysis steps are as follows:

[0061] A one-dimensional rock mechanics profile is established through interpretation of Meyer, Gofher, Techlog and other software; combined with core rock mechanics experiments in the area, an accurate one-dimensional rock mechanics profile of the well is obtained through dynamic and static combination and correction, and crushability evaluation parameters are determined, the crushability evaluation parameters including Poisson's ratio, Young's modulus, quartz content, brittle mineral content, overburden pressure, fracture toughness index, etc.

[0062] The crushability evaluation parameters are analyzed by using a dimension reduction method to obtain independent evaluation parameters, the independent evaluation parameters including a fracture toughness index K IC , a brittleness index R Brit , and a horizontal stress difference coefficient K h , and the fracture toughness index K IC , the brittleness index R Brit , and the horizontal stress difference coefficient K h of the whole well section are calculated according to the crushability evaluation parameters.

[0063] Based on the fracture toughness index K mentioned above IC The above-mentioned brittleness index R Brit The above-mentioned horizontal stress difference coefficient K h The compressibility index F was calculated. n That is, the F obtained after substituting into the regression analysis n =0.184*K IC +0.341*K h +0.474*B rit In the formula, F is calculated for the entire well section. n Numerical points, such as Figure 3 As shown;

[0064] For F n Numerical analysis shows that the distribution range of Fn is 0.1–0.4, such as… Figure 4 As shown, the fracture network type is single-slit, and the overall crack compressibility evaluation is single-slit compressibility.

[0065] Similarly, for wells that have not undergone fracturing, the fracture morphology can be predicted, and the fracturing process and its parameters can be adjusted based on the results to better improve the reservoir.

[0066] The aforementioned device for determining the compressibility of shale oil reservoirs includes a processor and a memory. The aforementioned acquisition unit, analysis unit, calculation unit, and determination unit are all stored as program units in the memory, and the processor executes the aforementioned program units stored in the memory to achieve the corresponding functions.

[0067] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and adjusting kernel parameters can address the problem of inaccurate compressibility evaluation leading to poor fracturing results in existing technologies.

[0068] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0069] This invention provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the above-described method.

[0070] This invention provides a processor for running a program, wherein the program executes the method described above when it runs.

[0071] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs at least the following steps:

[0072] In step S101, shale oil reservoir compressibility evaluation parameters are obtained, and the compressibility evaluation parameters are data corresponding to factors affecting compressibility of the shale oil reservoir.

[0073] In step S102, the compressibility evaluation parameters are analyzed by using a dimension reduction method to obtain independent evaluation parameters.

[0074] In step S103, a compressibility index is calculated according to the independent evaluation parameters.

[0075] In step S104, the compressibility of the shale oil reservoir is determined according to the compressibility index.

[0076] The device herein can be a server, a PC, a PAD, a mobile phone, etc.

[0077] The application further provides a computer program product, which, when executed on a data processing device, is adapted to execute a program that is initialized with at least the following method steps:

[0078] In step S101, shale oil reservoir compressibility evaluation parameters are obtained, and the compressibility evaluation parameters are data corresponding to factors affecting compressibility of the shale oil reservoir.

[0079] In step S102, the compressibility evaluation parameters are analyzed by using a dimension reduction method to obtain independent evaluation parameters.

[0080] In step S103, a compressibility index is calculated according to the independent evaluation parameters.

[0081] In step S104, the compressibility of the shale oil reservoir is determined according to the compressibility index.

[0082] In the above embodiments of the application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0083] In several embodiments provided in the application, it should be understood that the disclosed technical contents can be implemented by other ways. Among them, the above-described device embodiments are only schematic, for example, the division of the above units can be a logical function division, and actual implementation can have another division way, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be through some interface, indirect coupling or communication connection between units or modules, which can be electrical or other forms.

[0084] The units described as separate components above can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0085] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0086] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer-readable computer-readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a computer-readable storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the above-mentioned method of each embodiment of the present application. The aforementioned computer-readable storage medium includes: a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0087] From the above description, it can be seen that the above-mentioned embodiments of the present application achieve the following technical effects:

[0088] 1) In the shale oil reservoir compressibility determination method of the present application, first, shale oil reservoir compressibility evaluation parameters are obtained, the compressibility evaluation parameters being data corresponding to factors affecting the compressibility of the shale oil reservoir; the compressibility evaluation parameters are analyzed using a dimension reduction method to obtain independent evaluation parameters; a compressibility index is calculated according to the independent evaluation parameters; and the compressibility of the shale oil reservoir is determined according to the compressibility index. The compressibility determination method uses a dimension reduction method to analyze the compressibility evaluation parameters to obtain independent evaluation parameters, so as to calculate the compressibility index and determine the compressibility of the shale oil reservoir according to the compressibility index. Compared with the prior art, which only determines the compressibility of the reservoir by a brittleness index and experimental methods such as clay mineral content, the compressibility determination method comprehensively considers various compressibility evaluation parameters that affect the compressibility of the shale oil reservoir, analyzes and evaluates more comprehensively, improves the accuracy of compressibility evaluation, and solves the problem of poor fracturing effect caused by inaccurate compressibility evaluation in the prior art.

[0089] 2) In the shale oil reservoir compressibility determination device of this application, the acquisition unit acquires compressibility evaluation parameters of the shale oil reservoir, which are data corresponding to the influencing factors of the compressibility of the shale oil reservoir; the analysis unit uses a dimensionality reduction method to analyze the compressibility evaluation parameters to obtain independent evaluation parameters; the calculation unit calculates the compressibility index based on the independent evaluation parameters; and the determination unit determines the compressibility of the shale oil reservoir based on the compressibility index. The compressibility determination device uses a dimensionality reduction method to analyze the compressibility evaluation parameters to obtain independent evaluation parameters, which facilitates the calculation of the compressibility index. Based on the compressibility index, the compressibility of the shale oil reservoir is determined. Compared with existing technologies that only determine reservoir compressibility through brittleness index and experimental methods such as clay mineral content, this device comprehensively considers multiple compressibility evaluation parameters that affect the compressibility of shale oil reservoirs, resulting in a more comprehensive analysis and evaluation, improving the accuracy of compressibility evaluation, and solving the problem of poor fracturing effect caused by inaccurate compressibility evaluation in existing technologies.

[0090] 3) The compressibility determination system of this application includes a shale oil reservoir compressibility determination device. An acquisition unit acquires compressibility evaluation parameters of the shale oil reservoir, which are data corresponding to the influencing factors of the shale oil reservoir's compressibility. An analysis unit uses a dimensionality reduction method to analyze the compressibility evaluation parameters to obtain independent evaluation parameters. A calculation unit calculates a compressibility index based on the independent evaluation parameters. A determination unit determines the compressibility of the shale oil reservoir based on the compressibility index. The compressibility determination device uses a dimensionality reduction method to analyze the compressibility evaluation parameters to obtain independent evaluation parameters, facilitating the calculation of the compressibility index. Based on the compressibility index, the compressibility of the shale oil reservoir is determined. Compared to existing technologies that only determine reservoir compressibility through brittleness index and experimental methods such as clay mineral content, this system comprehensively considers multiple compressibility evaluation parameters that affect the compressibility of shale oil reservoirs. The analysis and evaluation are more comprehensive, improving the accuracy of compressibility evaluation and solving the problem of poor fracturing effect caused by inaccurate compressibility evaluation in existing technologies.

[0091] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method of determining the compressibility of a shale oil reservoir, characterized in that, The method comprises the following steps: obtaining shale oil reservoir compressibility evaluation parameters, which are data corresponding to influencing factors of compressibility of the shale oil reservoir; using a dimension reduction method to analyze the compressibility evaluation parameters to obtain independent evaluation parameters; calculating a compressibility index according to the independent evaluation parameters; determining the compressibility of the shale oil reservoir according to the compressibility index; the independent evaluation parameters include a fracture toughness index, a brittleness index and a horizontal stress difference coefficient, the compressibility index is calculated according to the independent evaluation parameters, including: performing regression analysis on the fracture toughness index, the brittleness index and the horizontal stress difference coefficient to obtain a first weight coefficient, a second weight coefficient and a third weight coefficient, the first weight coefficient is a weight coefficient of the fracture toughness index, the second weight coefficient is a weight coefficient of the brittleness index, and the third weight coefficient is a weight coefficient of the horizontal stress difference coefficient; the compressibility index is calculated according to the fracture toughness index, the brittleness index, the horizontal stress difference coefficient, the first weight coefficient, the second weight coefficient and the third weight coefficient, determining the compressibility of the shale oil reservoir according to the compressibility index, including: in the case that the compressibility index is greater than or equal to 0 and less than 0.1, the compressibility of the shale oil reservoir is incompressible; in the case that the compressibility index is greater than or equal to 0.1 and less than 0.4, the compressibility of the shale oil reservoir is single fracture; in the case that the compressibility index is greater than or equal to 0.4 and less than 0.6, the compressibility of the shale oil reservoir is multiple fractures; in the case that the compressibility index is greater than or equal to 0.6 and less than 0.7, the compressibility of the shale oil reservoir is a transition state of multiple fractures and fracture network; in the case that the compressibility index is greater than or equal to 0.7 and less than or equal to 1, the compressibility of the shale oil reservoir is fracture network, by SPSS regression analysis, the correlation of the compressibility evaluation parameters is analyzed, the compressibility evaluation parameters are non-dimensionalized, the correlation coefficient parameters are obtained by using the grey correlation method, and the weight coefficients of the compressibility evaluation parameters are obtained.

2. The method of claim 1, wherein, The method comprises the following steps: obtaining shale oil reservoir compressibility evaluation parameters, which are data corresponding to influencing factors of compressibility of the shale oil reservoir; obtaining well logging interpretation data and rock mechanics experimental data of the shale oil reservoir, the well logging interpretation data are data detected by well logging operation, and the rock mechanics experimental data are data recorded by rock mechanics experiments; 3. The method of claim 1, wherein, establishing a one-dimensional rock mechanics profile according to the well logging interpretation data and the rock mechanics experimental data to obtain the compressibility evaluation parameters.

4. The method of claim 1, wherein, The compressibility evaluation parameters include overburden pressure, confining pressure, pore pressure, minimum horizontal principal stress, maximum horizontal principal stress, Young's modulus, Poisson's ratio, rock type, GR logging curve, RT logging curve and AC logging curve. using a dimension reduction method to analyze the compressibility evaluation parameters to obtain independent evaluation parameters, including:

5. A device for determining the compressibility of a shale oil reservoir, characterized in that, calculating the independent evaluation parameters according to the compressibility evaluation parameters. The method comprises the following steps: The acquisition unit is configured to acquire a compressibility evaluation parameter of a shale oil reservoir, the compressibility evaluation parameter being data corresponding to an influencing factor of compressibility of the shale oil reservoir; The analysis unit is configured to analyze the compressibility evaluation parameter by using a dimension reduction method to obtain an independent evaluation parameter; The calculation unit is configured to calculate a compressibility index according to the independent evaluation parameter; The determination unit is configured to determine the compressibility of the shale oil reservoir according to the compressibility index. The independent evaluation parameter includes a fracture toughness index, a brittleness index, and a horizontal stress difference coefficient. The calculation unit includes a second calculation module and a third calculation module. The second calculation module is configured to perform regression analysis on the fracture toughness index, the brittleness index, and the horizontal stress difference coefficient to obtain a first weight coefficient, a second weight coefficient, and a third weight coefficient. The first weight coefficient is a weight coefficient of the fracture toughness index. The second weight coefficient is a weight coefficient of the brittleness index. The third weight coefficient is a weight coefficient of the horizontal stress difference coefficient. The third calculation module is configured to calculate the compressibility index according to the fracture toughness index, the brittleness index, the horizontal stress difference coefficient, the first weight coefficient, the second weight coefficient, and the third weight coefficient. The determination unit includes a first determination module, a second determination module, a third determination module, a fourth determination module, and a fifth determination module. The first determination module is configured to determine that the compressibility of the shale oil reservoir is incompressible when the compressibility index is greater than or equal to 0 and less than 0.

1. The second determination module is configured to determine that the compressibility of the shale oil reservoir is single fracture when the compressibility index is greater than or equal to 0.1 and less than 0.

4. The third determination module is configured to determine that the compressibility of the shale oil reservoir is multiple fractures when the compressibility index is greater than or equal to 0.4 and less than 0.

6. The fourth determination module is configured to determine that the compressibility of the shale oil reservoir is a transition state of multiple fractures and fracture network when the compressibility index is greater than or equal to 0.6 and less than 0.

7. The fifth determination module is configured to determine that the compressibility of the shale oil reservoir is a fracture network when the compressibility index is greater than or equal to 0.7 and less than or equal to 1. The device is further configured to analyze the correlation of the compressibility evaluation parameters by SPSS regression analysis, to obtain weight coefficients of the compressibility evaluation parameters by using a grey correlation method to obtain correlation coefficient parameters after non-dimensional quantization of the compressibility evaluation parameters.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium includes a stored program, wherein the program executes the method of any one of claims 1 to 4.

7. A processor, comprising: The processor is configured to run a program, wherein the program executes the method of any one of claims 1 to 4 when running.

8. A crushability determining system comprising a crushability determining device, characterized in that The compressibility determination device is configured to execute the method of any one of claims 1 to 4.

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