Shale brittleness determination method and device, nonvolatile storage medium and computer equipment

Abstract

The invention discloses a shale brittleness determination method and device, a nonvolatile storage medium and computer equipment. The method comprises the steps that target rocks are obtained, and the target rocks are exploited in a shale reservoir in advance; performing component determination on the brittle minerals and the clay minerals included in the target rock to obtain respective first mass percentage content of the brittle minerals and second mass percentage content of the clay minerals; according to the first mass percentage content and the second mass percentage content, the mixing complexity of the target rock is determined, and the mixing complexity represents the mineral combination state of the target rock; according to the mixing complexity, a first rock brittleness index of the target rock is determined, and the first rock brittleness index is used for representing the brittleness degree of the rock. According to the method, the technical problem that a method for quantitatively characterizing the brittleness of the rock based on the clay mineral content is lacked is solved.

Description

Technical Field

[0001] The present invention relates to the field of rock and minerals, and in particular to a method and device for determining shale brittleness, a non-volatile storage medium and a computer device. Background Art

[0002] Rock brittleness is an important property that affects oil and gas exploration and development. At present, people have conducted a lot of research on brittleness, mostly from the perspective of mineral composition, rock mechanics characteristics, etc. Establishing a complex fracture network in the reservoir to maximize the contact area of ​​oil and gas seepage is the focus of rock exploration and development. Among them, the size of rock brittleness is a key factor in evaluating whether the reservoir is easy to explore and develop. However, there are many factors that affect the compressibility of unconventional shale reservoir rocks and the relationship is complex. Domestic and foreign scholars have done a lot of research on the expansion of reservoir fracture networks caused by the composition of rock minerals. The current method mainly considers factors such as geology and rock mechanics to evaluate the brittleness of shale reservoirs. The evaluation method is not comprehensive enough, and there is a lack of methods for quantitative evaluation using other indicators.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] Embodiments of the present invention provide a method, apparatus, non-volatile storage medium and computer equipment for determining shale brittleness, so as to at least solve the technical problem of the lack of a method for quantitatively characterizing the brittleness of rocks based on clay mineral content.

[0005] According to one aspect of an embodiment of the present invention, a method for determining shale brittleness is provided, comprising: obtaining a target rock, wherein the target rock is pre-mined in a shale reservoir; measuring the composition of brittle minerals and clay minerals included in the target rock to obtain a first mass percentage content of each of the brittle minerals and a second mass percentage content of the clay minerals; determining the mixing complexity of the target rock based on the first mass percentage content and the second mass percentage content, wherein the mixing complexity characterizes the mineral combination state of the target rock; determining a first rock brittleness index of the target rock based on the mixing complexity, wherein the first rock brittleness index is used to characterize the brittleness degree of the rock.

[0006] Optionally, determining the mixing complexity of the target rock based on the first mass percentage content and the second mass percentage content includes: obtaining the number of rock mineral types corresponding to the target rock, wherein the number of rock mineral types is the number of brittle mineral types plus 1; determining the brittle mineral complexity coefficient of the target rock based on the number of rock mineral types and the second mass percentage content, wherein the brittle mineral complexity coefficient is negatively correlated with the second mass percentage content; determining the mixing complexity based on the brittle mineral complexity coefficient, the first mass percentage content and the second mass percentage content.

[0007] Optionally, the brittle mineral complexity coefficient of the target rock is determined based on the number of rock mineral types and the second mass percentage, including: determining the total mass percentage of the brittle minerals based on the second mass percentage; dividing the total mass percentage by the second mass percentage and then dividing by the number of rock mineral types to obtain the brittle mineral complexity coefficient.

[0008] Optionally, the mixing complexity is determined based on the brittle mineral complexity coefficient, the first mass percentage content and the second mass percentage content, including: subtracting the first mass percentage content and the second mass percentage content from the brittle mineral complexity coefficient in turn to obtain a plurality of difference values; taking the absolute values ​​of the plurality of difference values ​​and summing them to obtain a summed value; subtracting the second mass percentage content from the summed value and then adding the brittle mineral complexity coefficient to obtain the mixing complexity.

[0009] Optionally, determining the first rock brittleness index of the target rock based on the mixing complexity includes: determining the maximum mixing complexity and the minimum mixing complexity of the target rock based on the number of rock mineral types; and normalizing the mixing complexity based on the maximum mixing complexity and the minimum mixing complexity to obtain the first rock brittleness index.

[0010] Optionally, obtaining the target rock includes: obtaining an initially mined rock, wherein the initially mined rock is mined from the shale reservoir; making the initially mined rock into a standard rock sample of a rectangular block with fixed length and width; and drying the standard rock sample to a constant weight to obtain the target rock.

[0011] Optionally, the above method also includes: obtaining multiple rocks to be tested respectively taken out from multiple division units in the shale reservoir; respectively determining the second rock brittleness index corresponding to each of the multiple rocks to be tested; determining the maximum index of the first rock brittleness index and the second rock brittleness index; and determining the mining position of the rock corresponding to the maximum index in the shale reservoir as the engineering sweet spot in the shale reservoir.

[0012] According to another aspect of an embodiment of the present invention, a shale brittleness determination device is also provided, comprising: an acquisition module, used to acquire a target rock, wherein the target rock is pre-mined in a shale reservoir; a determination module, used to perform composition determination on brittle minerals and clay minerals included in the target rock to obtain a first mass percentage content of each of the brittle minerals and a second mass percentage content of the clay minerals; a first determination module, used to determine the mixing complexity of the target rock based on the first mass percentage content and the second mass percentage content, wherein the mixing complexity characterizes the mineral combination state of the target rock; and a second determination module, used to determine a first rock brittleness index of the target rock based on the mixing complexity, wherein the first rock brittleness index is used to characterize the brittleness degree of the rock.

[0013] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided, wherein the non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute any one of the above-mentioned methods for determining shale brittleness.

[0014] According to another aspect of an embodiment of the present invention, a computer device is provided, comprising a memory and a processor, wherein the memory is used to store programs, and the processor is used to run the programs stored in the memory, wherein when the program is run, any one of the above-mentioned methods for determining shale brittleness is executed.

[0015] In an embodiment of the present invention, by acquiring a target rock, the composition of brittle minerals and clay minerals included in the target rock is determined to obtain a first mass percentage content of each brittle mineral and a second mass percentage content of the clay mineral; based on the first mass percentage content and the second mass percentage content, the mixing complexity of the target rock is determined, wherein the mixing complexity characterizes the mineral combination state of the target rock; based on the mixing complexity, a first rock brittleness index of the target rock characterizing the brittleness of the rock is determined, thereby achieving the purpose of quantitatively evaluating the brittleness of the rock based on the clay mineral content, thereby realizing the technical effect of broadening the quantitative characterization method of rock brittleness evaluation, and further solving the technical problem of the lack of a method for quantitatively characterizing the brittleness of the rock based on the clay mineral content. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0017] Figure 1A hardware structure block diagram of a computer terminal for implementing a method for determining shale brittleness is shown;

[0018] Figure 2 is a schematic flow chart of a method for determining shale brittleness according to an embodiment of the present invention;

[0019] Figure 3 is a schematic diagram of a brittle mineral complexity coefficient provided according to an optional embodiment of the present invention;

[0020] Figure 4 is a schematic diagram of rock complexity provided according to an optional embodiment of the present invention;

[0021] Figure 5 is a schematic diagram of a rock brittleness index provided according to an optional embodiment of the present invention;

[0022] Figure 6 It is a structural block diagram of a shale brittleness determination device provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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 should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] According to an embodiment of the present invention, an embodiment of a method for determining shale brittleness is provided. 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 set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 FIG. 1 shows a hardware structure block diagram of a computer terminal for implementing a method for determining shale brittleness. Figure 1 As shown, the computer terminal 10 may include one or more processors (processors 102a, 102b, ..., 102n are used as examples in the figure) (the processors may include but are not limited to processing devices such as microprocessors MCU or programmable logic devices FPGA), and a memory 104 for storing data. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply, and / or a camera. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0027] It should be noted that the one or more processors and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 10. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0028] The memory 104 can be used to store software programs and modules of application software, such as program instructions / data storage devices corresponding to the shale brittleness determination method in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, the shale brittleness determination method of the above-mentioned application program is realized. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0029] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 10 .

[0030] Figure 2 FIG. 1 is a flow chart of a method for determining shale brittleness according to an embodiment of the present invention. Figure 2 As shown, the method comprises the following steps:

[0031] Step S202, obtaining a target rock, wherein the target rock is previously mined in a shale reservoir. In this embodiment, the target rock is the rock to be analyzed for brittleness.

[0032] As an optional embodiment, the target rock can be obtained in the following manner: obtain initial mined rock, wherein the initial mined rock is mined from a shale reservoir; make the initial mined rock into a standard rock sample of a rectangular block with fixed length and width; dry the standard rock sample to a constant weight to obtain the target rock.

[0033] The initial mined rock may be a rock directly mined from a shale reservoir without any processing. This optional embodiment may perform preliminary processing on the initial mined rock to obtain a relatively standard rock that is conducive to brittleness analysis according to this embodiment, i.e., the target rock. Optionally, the rock of the shale reservoir section may be made into a standard rock sample with a diameter of 2.5 cm and a length of 5 cm, and the standard rock sample may be placed in a 100°C oven and dried to a constant weight, to obtain the above-mentioned target rock.

[0034] Step S204, measuring the composition of the brittle minerals and clay minerals included in the target rock to obtain the first mass percentage content of the brittle minerals and the second mass percentage content of the clay minerals.

[0035] Clay is a fine-grained soil or rock composed of fine particles, usually less than 0.002 mm in size. It is composed of one or more major minerals, the most common of which are phyllosilicate minerals.

[0036] Optionally, the brittle mineral may include at least one of quartz, dolomite, calcite, feldspar, and pyrite, and the composition determination may be performed using an X-ray diffractometer. The type of brittle mineral may be selected based on the analytic hierarchy process. The analytic hierarchy process (AHP) is a decision analysis method that aims to help decision makers make decisions between multiple criteria or factors, and to determine the best option by comparing and evaluating the importance of the criteria or factors.

[0037] The basic idea of ​​the AHP is to hierarchize a complex decision problem and decompose it into a hierarchical structure, which is divided into the target layer, the criterion layer and the solution layer from top to bottom. Each layer contains several factors or criteria. At each level, two-to-two comparisons are made to obtain the weights between factors. Finally, the best choice is obtained through the weighted summation between the levels. The use of the AHP can help decision makers decompose complex decision problems into comparable factors, and determine the best choice by comparing and evaluating the importance of factors. This method can make decisions in a quantitative and systematic manner, and improve the accuracy and reliability of decisions.

[0038] Step S206, determining the mixing complexity of the target rock according to the first mass percentage content and the second mass percentage content, wherein the mixing complexity characterizes the mineral combination state of the target rock. Since clay is different from brittle minerals and significantly affects the overall brittleness of the rock, the mass percentage content of clay can be considered separately, and the overall brittleness of the rock can be more accurately evaluated according to the mass percentage content of clay in the entire rock.

[0039] The assemblage of minerals refers to the relative amount and proportion of various minerals in a geological sample or ore. It describes the distribution and relationship of different minerals in the sample.

[0040] The combination state of minerals is crucial to the properties and characteristics of ores. It can affect the physical and chemical properties of ores, such as hardness, density, color, magnetism, etc. Different mineral combinations can also determine the economic value and availability of ores. The degree of mineral combination can be determined by mineralogical analysis of ores. Mineralogical analysis can use methods such as microscopic observation, chemical analysis, and X-ray diffraction to identify and quantify different minerals in ores. By analyzing the content and proportion of various minerals in ore samples, the degree of combination of ore can be understood, thereby evaluating its properties and availability. In summary, the degree of mineral combination describes the relative presence and proportion of various minerals in a geological sample or ore, which is of great significance for studying and evaluating the properties and characteristics of ores.

[0041] As an optional embodiment, determining the mixing complexity of the target rock based on the first mass percentage content and the second mass percentage content may include the following steps: obtaining the number of rock mineral types corresponding to the target rock, wherein the number of rock mineral types is the number of brittle mineral types plus 1; determining the brittle mineral complexity coefficient of the target rock based on the number of rock mineral types and the second mass percentage content, wherein the brittle mineral complexity coefficient is negatively correlated with the second mass percentage content; determining the mixing complexity based on the brittle mineral complexity coefficient, the first mass percentage content and the second mass percentage content.

[0042] In this embodiment, the number of rock mineral species can be recorded as n, which is the number of brittle mineral species plus clay. The clay content in the rock will have a certain degree of negative impact on the brittleness of the rock, so the brittle mineral complexity coefficient can be determined to be negatively correlated with the second mass percentage.

[0043] As an optional embodiment, the brittle mineral complexity coefficient of the target rock is determined based on the number of rock mineral types and the second mass percentage, including: determining the total mass percentage of brittle minerals based on the second mass percentage; dividing the total mass percentage by the second mass percentage and then dividing by the number of rock mineral types to obtain the brittle mineral complexity coefficient.

[0044] As an optional embodiment, the mixing complexity is determined according to the brittle mineral complexity coefficient, the first mass percentage content and the second mass percentage content, which can include the following methods: subtracting the first mass percentage content and the second mass percentage content from the brittle mineral complexity coefficient in turn to obtain a plurality of difference values; taking the absolute values ​​of the plurality of difference values ​​and summing them to obtain a sum value; subtracting the second mass percentage content from the sum value and then adding the brittle mineral complexity coefficient to obtain the mixing complexity.

[0045] Step S208: determining a first rock brittleness index of the target rock according to the mixed complexity, wherein the first rock brittleness index is used to characterize the brittleness of the rock.

[0046] As an optional embodiment, a first rock brittleness index of the target rock is determined based on the mixing complexity, including: determining the maximum mixing complexity and the minimum mixing complexity of the target rock based on the number of rock mineral types; and normalizing the mixing complexity based on the maximum mixing complexity and the minimum mixing complexity to obtain a first rock brittleness index.

[0047] Through the above steps, by obtaining the target rock, the composition of the brittle minerals and clay minerals included in the target rock is determined to obtain the first mass percentage content of each brittle mineral and the second mass percentage content of the clay mineral; according to the first mass percentage content and the second mass percentage content, the mixing complexity of the target rock is determined, wherein the mixing complexity characterizes the mineral combination state of the target rock; according to the mixing complexity, the first rock brittleness index of the target rock characterizing the brittleness of the rock is determined, thereby achieving the purpose of quantitatively evaluating the brittleness of the rock based on the clay mineral content, thereby realizing the technical effect of broadening the quantitative characterization method of rock brittleness assessment, and further solving the technical problem of the lack of a method for quantitatively characterizing the brittleness of the rock based on the clay mineral content.

[0048] As an optional embodiment, a plurality of rocks to be tested are respectively taken out from a plurality of divided units in a shale reservoir; a second rock brittleness index corresponding to each of the plurality of rocks to be tested is respectively determined; a maximum index value among the first rock brittleness index and the second rock brittleness index is determined; and a mining position of the rock corresponding to the maximum index value in the shale reservoir is determined as an engineering sweet spot in the shale reservoir.

[0049] The purpose of the present invention is to provide a quantitative characterization method based on the effect of clay content on the brittleness of shale reservoirs. Based on the above optional embodiments, a comprehensive evaluation system affecting the compressibility of shale rocks can be first established using the analytic hierarchy process. Secondly, the shale target layer section is divided into several units, continuous coring is carried out for each unit, and the mineral composition of the rock sample is tested. Finally, based on the mineral composition of the tested rock samples, the effect of clay mineral content on the brittleness of shale is particularly pointed out, and the rock brittleness index is comprehensively calculated to quantitatively evaluate the degree of development of initial microcracks in the reservoir. The larger the value, the greater the potential for volume fracturing to form a fracture network, and the better the rock brittleness, thereby achieving the purpose of quantitative evaluation of the brittleness of shale reservoir rocks.

[0050] Based on the above embodiments and optional embodiments, the present invention provides the following specific implementation methods for quantitatively characterizing the effect of clay content on the brittleness of shale reservoirs:

[0051] (1) Establishment of a multi-level evaluation system: A multi-level evaluation system was established using the analytic hierarchy process, which classified the minerals that affect rock compressibility into quartz, dolomite, calcite, feldspar, pyrite, and clay;

[0052] (2) Rock sample preparation: Divide the target evaluation section of the shale reservoir into several units, and conduct continuous coring work for each evaluation unit. Make the rock of the shale reservoir section into a standard rock sample with a diameter of 2.5 cm and a length of 5 cm, and place the standard rock sample in a 100°C oven to dry to constant weight;

[0053] (3) Shale mineral content test: Use X-ray diffractometer to test the mineral composition of the rock sample in step (2);

[0054] (4) Calculation of shale rock brittleness index: The rock brittleness index is calculated comprehensively using the test results of the mineral content of shale samples. The larger the value, the more developed the initial microcracks and the stronger the ability to form a fracture network during shale reservoir development, thereby evaluating the engineering sweet spot of the shale reservoir. Specifically, it includes the following contents:

[0055] ① According to the test quality results of different mineral components of shale samples in the target shale section, calculate the percentage content of different minerals. The calculation formula is as follows:

[0056]

[0057] Where: i is the number of different minerals in shale samples, dimensionless; W is the mass percentage of different minerals in shale samples, %; M is the mass of different minerals in shale samples, g.

[0058] ② Using the mechanical properties of minerals, considering the influence of clay mineral content in shale, the rock combination complexity is expressed in the mixing complexity of the main minerals in the rock. The calculation formula of the brittle mineral complexity coefficient is as follows:

[0059]

[0060] Where: K is the complexity coefficient of brittle minerals, %; Qclay is the mass percentage of clay, %.

[0061] ③ According to the percentage difference of brittle minerals and clay in shale samples, the complexity Z is calculated. The calculation formula is as follows:

[0062]

[0063] Where: Z is the complexity, dimensionless.

[0064] ④Calculate the maximum value of complexity Z max and the minimum value Z min , the calculation formula is as follows:

[0065]

[0066]

[0067] ⑤ Calculate the rock brittleness index C. In order to facilitate observation and classification, the value range of the rock brittleness index is set between 0 and 1. The calculation formula of the rock brittleness index C is as follows:

[0068]

[0069] Where: C is the rock brittleness index, dimensionless; Z is the complexity, dimensionless.

[0070] The method provided in the above specific implementation method couples brittle minerals with clay minerals to define a new brittleness index to quantitatively characterize the degree of microcrack development in rocks, thereby greatly improving the developability and accuracy of brittleness evaluation of shale reservoirs. Compared with the current evaluation of microcrack development by means of well logging and microseismic monitoring, this method greatly saves testing costs, and its calculation method is simple and feasible.

[0071] Furthermore, the present invention also provides the following specific embodiment, which is a specific embodiment of the quantitative characterization of the brittleness of core samples taken from a horizontal well in a shale reservoir in a certain block, illustrating the practicality of the method.

[0072] This example provides a quantitative characterization method for the effect of clay content on the brittleness of shale reservoirs, as follows:

[0073] (1) Establishment of a multi-level evaluation system: A multi-level evaluation system was established using the analytic hierarchy process, and the minerals that affect rock compressibility were classified into quartz, dolomite, calcite, feldspar, pyrite, and clay.

[0074] (2) Rock sample preparation: Divide the target evaluation section of the shale reservoir into several units, and conduct continuous coring work for each evaluation unit. The rocks of the shale reservoir section are made into standard rock samples with a diameter of 2.5 cm and a length of 5 cm, numbered WY1 to WY6, and the standard rock samples are placed in a 100°C oven and dried to constant weight;

[0075] (3) Shale mineral content test: The mineral composition of the rock sample in step (2) was tested using an X-ray diffractometer, see Table 1.

[0076] Table 1 Rock sample mineral composition quality test results

[0077]

[0078] (4) Calculation of shale rock brittleness index:

[0079] ① According to the test results of different mineral components of shale samples in the target shale section, the formula The percentage of different mineral masses was calculated and the results are shown in Table 2.

[0080] Table 2 Results of percentage content of rock sample mineral components

[0081]

[0082] ② Using the mineral mechanical properties, the rock combination complexity is expressed in the mixing complexity of the main minerals in the rock, using the formula The brittle mineral complexity coefficient was calculated, where six minerals were selected, so n was equal to 6. The calculation results are shown in Table 3 and Appendix Figure 3 shown.

[0083] Table 3 Calculation results of brittle mineral complexity coefficient

[0084] Rock sample number clay(%) Complexity coefficient of brittle minerals (%) WY1 47.61 18.34 WY2 38.26 26.89 WY3 43.46 21.68 WY4 45.15 20.25 WY5 36.27 29.28 WY6 41.79 23.22

[0085] ③ According to the percentage difference of brittle minerals and clay in shale samples, use the formula to calculate Complexity Z, the results are shown in Table 4.

[0086] Table 4 Complexity calculation results

[0087]

[0088] ④Use the formula and The maximum value Z of the computational complexity Z max and the minimum value Z min , calculate Z max =1.36, Z min =0.33.

[0089] ⑤Calculate the formula Calculate the rock brittleness index C and substitute Z max =1.36, Z min =0.33, we can get C = 0.97Z-0.32. The calculation results are shown in Table 5 and Appendix Figure 4 and attached Figure 5 The brittleness indexes of the six rock samples are WY1: 0.11, WY2: 0.43, WY3: 0.18, WY4: 0.29, WY5: 0.48, WY6: 0.24, and the rock brittleness order is WY5>WY2>WY4>WY6>WY3>WY1.

[0090] Table 5 Brittleness index calculation results

[0091]

[0092] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0093] Through the description of the above implementation methods, those skilled in the art can clearly understand that the shale brittleness determination method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of various embodiments of the present invention.

[0094] According to an embodiment of the present invention, a shale brittleness determination device for implementing the above-mentioned shale brittleness determination method is also provided. Figure 6is a structural block diagram of a shale brittleness determination device according to an embodiment of the present invention. Figure 6 As shown, the shale brittleness determination device includes: an acquisition module 62, a determination module 64, a first determination module 66 and a second determination module 68. The shale brittleness determination device is described below.

[0095] An acquisition module 62 is used to acquire a target rock, wherein the target rock is previously mined in a shale reservoir;

[0096] The determination module 64 is connected to the acquisition module 62 and is used to determine the composition of the brittle minerals and clay minerals included in the target rock to obtain the first mass percentage content of each brittle mineral and the second mass percentage content of the clay mineral;

[0097] A first determination module 66, connected to the determination module 64, is used to determine the mixing complexity of the target rock according to the first mass percentage content and the second mass percentage content, wherein the mixing complexity represents the mineral combination state of the target rock;

[0098] The second determination module 68 is connected to the first determination module 66 and is used to determine a first rock brittleness index of the target rock according to the mixed complexity, wherein the first rock brittleness index is used to characterize the brittleness degree of the rock.

[0099] It should be noted that the acquisition module 62, the determination module 64, the first determination module 66 and the second determination module 68 correspond to steps S202 to S208 in the embodiment, and the examples and application scenarios implemented by the multiple modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above embodiment. It should be noted that the above modules, as part of the device, can be run in the computer terminal 10 provided in the embodiment.

[0100] An embodiment of the present invention may provide a computer device. Optionally, in this embodiment, the computer device may be located in at least one network device among multiple network devices of a computer network. The computer device includes a memory and a processor.

[0101] Among them, the memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the shale brittleness determination method and device in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, the above-mentioned shale brittleness determination method is realized. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include a memory remotely arranged relative to the processor, and these remote memories can be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0102] The processor can call the information and application programs stored in the memory through the transmission device to perform the following steps: obtain the target rock, wherein the target rock is pre-mined in a shale reservoir; measure the composition of brittle minerals and clay minerals included in the target rock to obtain the first mass percentage content of each brittle mineral and the second mass percentage content of the clay mineral; determine the mixing complexity of the target rock based on the first mass percentage content and the second mass percentage content, wherein the mixing complexity characterizes the mineral combination state of the target rock; determine the first rock brittleness index of the target rock based on the mixing complexity, wherein the first rock brittleness index is used to characterize the brittleness of the rock.

[0103] Optionally, the processor may also execute the program code of the following steps: determining the mixing complexity of the target rock based on the first mass percentage content and the second mass percentage content, including: obtaining the number of rock mineral types corresponding to the target rock, wherein the number of rock mineral types is the number of brittle mineral types plus 1; determining the brittle mineral complexity coefficient of the target rock based on the number of rock mineral types and the second mass percentage content, wherein the brittle mineral complexity coefficient is negatively correlated with the second mass percentage content; determining the mixing complexity based on the brittle mineral complexity coefficient, the first mass percentage content and the second mass percentage content.

[0104] Optionally, the processor may also execute the program code of the following steps: determining the brittle mineral complexity coefficient of the target rock based on the number of rock mineral types and the second mass percentage, including: determining the total mass percentage of brittle minerals based on the second mass percentage; dividing the total mass percentage by the second mass percentage and then dividing by the number of rock mineral types to obtain the brittle mineral complexity coefficient.

[0105] Optionally, the processor may also execute the program code of the following steps: determining the mixing complexity according to the brittle mineral complexity coefficient, the first mass percentage content and the second mass percentage content, including: subtracting the first mass percentage content and the second mass percentage content from the brittle mineral complexity coefficient in turn to obtain a plurality of difference values; taking the absolute values ​​of the plurality of difference values ​​and summing them to obtain a summed value; subtracting the second mass percentage content from the summed value and then adding the brittle mineral complexity coefficient to obtain the mixing complexity.

[0106] Optionally, the processor may also execute the program code of the following steps: determining the first rock brittleness index of the target rock based on the mixing complexity, including: determining the maximum mixing complexity and the minimum mixing complexity of the target rock based on the number of rock mineral types; normalizing the mixing complexity based on the maximum mixing complexity and the minimum mixing complexity to obtain the first rock brittleness index.

[0107] Optionally, the processor may also execute program codes for the following steps: obtaining target rock, including: obtaining initial mined rock, wherein the initial mined rock is mined from a shale reservoir; making the initial mined rock into a standard rock sample of a rectangular block with fixed length and width; and drying the standard rock sample to a constant weight to obtain the target rock.

[0108] Optionally, the processor may also execute the program code of the following steps: obtaining a plurality of rocks to be tested taken out from a plurality of division units in a shale reservoir; respectively determining a second rock brittleness index corresponding to each of the plurality of rocks to be tested; determining a maximum index value among the first rock brittleness index and the second rock brittleness index; and determining the mining position of the rock corresponding to the maximum index value in the shale reservoir as an engineering sweet spot in the shale reservoir.

[0109] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a non-volatile storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0110] The embodiment of the present invention further provides a non-volatile storage medium. Optionally, in this embodiment, the non-volatile storage medium can be used to store the program code executed by the shale brittleness determination method provided in the above embodiment.

[0111] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0112] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: obtaining a target rock, wherein the target rock is pre-mined in a shale reservoir; performing composition determination on brittle minerals and clay minerals included in the target rock to obtain a first mass percentage content of each brittle mineral and a second mass percentage content of the clay mineral; determining a mixing complexity of the target rock based on the first mass percentage content and the second mass percentage content, wherein the mixing complexity characterizes the mineral combination state of the target rock; determining a first rock brittleness index of the target rock based on the mixing complexity, wherein the first rock brittleness index is used to characterize the brittleness of the rock.

[0113] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for executing the following steps: determining the mixing complexity of the target rock based on the first mass percentage content and the second mass percentage content, including: obtaining the number of rock mineral types corresponding to the target rock, wherein the number of rock mineral types is the number of brittle mineral types plus 1; determining the brittle mineral complexity coefficient of the target rock based on the number of rock mineral types and the second mass percentage content, wherein the brittle mineral complexity coefficient is negatively correlated with the second mass percentage content; determining the mixing complexity based on the brittle mineral complexity coefficient, the first mass percentage content and the second mass percentage content.

[0114] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for executing the following steps: determining the brittle mineral complexity coefficient of the target rock based on the number of rock mineral types and the second mass percentage, including: determining the total mass percentage of brittle minerals based on the second mass percentage; dividing the total mass percentage by the second mass percentage and then dividing by the number of rock mineral types to obtain the brittle mineral complexity coefficient.

[0115] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: determining the mixing complexity based on the brittle mineral complexity coefficient, the first mass percentage content and the second mass percentage content, including: subtracting the first mass percentage content and the second mass percentage content from the brittle mineral complexity coefficient in turn to obtain a plurality of difference values; taking the absolute values ​​of the plurality of difference values ​​and summing them to obtain a summed value; subtracting the second mass percentage content from the summed value and then adding the brittle mineral complexity coefficient to obtain the mixing complexity.

[0116] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for executing the following steps: determining a first rock brittleness index of the target rock based on the mixing complexity, including: determining a maximum mixing complexity and a minimum mixing complexity of the target rock based on the number of rock mineral types; normalizing the mixing complexity based on the maximum mixing complexity and the minimum mixing complexity to obtain a first rock brittleness index.

[0117] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: obtaining a target rock, including: obtaining an initial mined rock, wherein the initial mined rock is mined from a shale reservoir; making the initial mined rock into a standard rock sample of a rectangular block with fixed length and width; and drying the standard rock sample to a constant weight to obtain a target rock.

[0118] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: obtaining a plurality of rocks to be tested taken out from a plurality of division units in a shale reservoir; respectively determining a second rock brittleness index corresponding to each of the plurality of rocks to be tested; determining a maximum index among the first rock brittleness index and the second rock brittleness index; and determining the mining position of the rock corresponding to the maximum index in the shale reservoir as an engineering sweet spot in the shale reservoir.

[0119] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0120] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0121] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0122] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0123] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0124] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, server or 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, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0125] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining shale brittleness, characterized in that: include: Obtaining a target rock, wherein the target rock is previously mined in a shale reservoir; Determine the composition of brittle minerals and clay minerals included in the target rock to obtain a first mass percentage content of each of the brittle minerals and a second mass percentage content of the clay mineral; Determining the mixing complexity of the target rock according to the first mass percentage content and the second mass percentage content, wherein the mixing complexity represents the mineral combination state of the target rock; A first rock brittleness index of the target rock is determined according to the mixing complexity, wherein the first rock brittleness index is used to characterize the brittleness degree of the rock.

2. The method according to claim 1, characterized in that: Determining the mixing complexity of the target rock according to the first mass percentage content and the second mass percentage content includes: Obtaining the number of rock mineral species corresponding to the target rock, wherein the number of rock mineral species is the number of brittle mineral species plus 1; Determining a brittle mineral complexity coefficient of the target rock according to the number of rock mineral types and the second mass percentage, wherein the brittle mineral complexity coefficient is negatively correlated with the second mass percentage; The mixing complexity is determined according to the brittle mineral complexity coefficient, the first mass percentage content and the second mass percentage content.

3. The method according to claim 2, characterized in that Determining the brittle mineral complexity coefficient of the target rock according to the number of rock mineral types and the second mass percentage, including: Determining the total mass percentage of the brittle mineral according to the second mass percentage; The total mass percentage is divided by the second mass percentage and then divided by the number of rock mineral types to obtain the brittle mineral complexity coefficient.

4. The method according to claim 3, characterized in that: The determining the mixing complexity according to the brittle mineral complexity coefficient, the first mass percentage content and the second mass percentage content includes: Subtracting the first mass percentage and the second mass percentage from the brittle mineral complexity coefficient in sequence to obtain a plurality of difference values; Taking absolute values ​​of the plurality of differences and summing them up to obtain a sum value; The mixing complexity is obtained by subtracting the second mass percentage from the sum and adding the brittle mineral complexity coefficient.

5. The method according to claim 4, characterized in that Determining a first rock brittleness index of the target rock according to the mixing complexity includes: Determining the maximum value and the minimum value of the mixing complexity of the target rock according to the number of rock mineral species; The mixing complexity is normalized according to the maximum mixing complexity and the minimum mixing complexity to obtain the first rock brittleness index.

6. The method according to claim 1, characterized in that The step of obtaining the target rock comprises: Acquiring initial mining rock, wherein the initial mining rock is mined from the shale reservoir; The initially mined rock is made into a standard rock sample of a rectangular parallelepiped with a fixed length and width; The standard rock sample is dried to a constant weight to obtain the target rock.

7. The method according to any one of claims 1 to 6, characterized in that Also includes: Acquire a plurality of rocks to be tested respectively taken from a plurality of divided units in the shale reservoir; Respectively determining the second rock brittleness index corresponding to each of the plurality of rocks to be tested; determining a maximum value of the first rock brittleness index and the second rock brittleness index; The production position of the rock corresponding to the maximum value of the index in the shale reservoir is determined as the engineering sweet spot in the shale reservoir.

8. A device for determining shale brittleness, characterized in that: include: An acquisition module, used for acquiring target rocks, wherein the target rocks are pre-mined in a shale reservoir; A determination module, used for determining the composition of brittle minerals and clay minerals included in the target rock to obtain a first mass percentage content of each of the brittle minerals and a second mass percentage content of the clay mineral; A first determination module, configured to determine the mixing complexity of the target rock according to the first mass percentage content and the second mass percentage content, wherein the mixing complexity represents the mineral combination state of the target rock; The second determination module is used to determine a first rock brittleness index of the target rock according to the mixed complexity, wherein the first rock brittleness index is used to characterize the brittleness degree of the rock.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute the shale brittleness determination method according to any one of claims 1 to 7.

10. A computer device, characterized in that: The computer device includes a memory and a processor, the memory is used to store programs, and the processor is used to run the programs stored in the memory, wherein the shale brittleness determination method according to any one of claims 1 to 7 is executed when the program is run.

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