Methods, apparatus, non-volatile storage media, and computer equipment for determining shale brittleness.

Abstract

This invention discloses a method, apparatus, non-volatile storage medium, and computer equipment for determining the brittleness of shale. The method includes: obtaining a target rock, wherein the target rock is pre-mined from a shale reservoir; determining the composition of 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 minerals; determining the mixing complexity of the target rock based on the first and second mass percentage contents, wherein the mixing complexity characterizes the mineral assemblage state of the target rock; and 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 degree of brittleness of the rock. This invention solves the technical problem of lacking a method for quantitatively characterizing the brittleness of rocks based on clay mineral content.

Description

Technical Field

[0001] This invention relates to the field of rock and minerals, and more specifically, to a method, apparatus, non-volatile storage medium, and computer device for determining the brittleness of shale. Background Technology

[0002] Rock brittleness is a crucial property affecting oil and gas exploration and development, and current research on brittleness is relatively abundant, mostly focusing on mineral composition and rock mechanical characteristics. Establishing a complex fracture network within the reservoir to maximize the contact area for oil and gas seepage is a key focus of rock exploration and development. The magnitude of rock brittleness is a crucial factor in evaluating the ease of exploration and development of a reservoir. However, numerous factors influence the compressibility of unconventional shale reservoirs, and their relationships are complex. Domestic and international scholars have conducted extensive research on how rock mineral composition affects the expansion of reservoir fracture networks. Current methods primarily consider geological and rock mechanical factors to evaluate shale reservoir brittleness, but these methods are not comprehensive enough and lack methods for quantitative evaluation using other indicators.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a method, apparatus, non-volatile storage medium, and computer equipment for determining the brittleness of shale, at least addressing the technical problem of lacking a method for quantitatively characterizing the brittleness of rocks based on clay mineral content.

[0005] According to one aspect of the present invention, a method for determining the brittleness of shale is provided, comprising: obtaining a target rock, wherein the target rock is pre-mined from a shale reservoir; performing compositional analysis 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; 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 assemblage state of the target rock; and 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 degree of brittleness 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; and determining the mixing complexity based on the brittle mineral complexity coefficient, the first mass percentage content, and the second mass percentage content.

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

[0008] Optionally, determining the mixed complexity based on the brittle mineral complexity coefficient, the first mass percentage content, and the second mass percentage content includes: successively subtracting the first mass percentage content and the second mass percentage content from the brittle mineral complexity coefficient to obtain multiple difference values; summing the absolute values ​​of the multiple difference values ​​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 mixed complexity.

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

[0010] Optionally, obtaining the target rock includes: obtaining initial mined rock, wherein the initial mined rock is mined from the shale reservoir; preparing the initial mined rock into a standard rock sample with fixed length and width (cubic prism); and drying the standard rock sample to constant weight to obtain the target rock.

[0011] Optionally, the above method further includes: obtaining multiple test rocks extracted from multiple partitioned units in the shale reservoir; determining the second rock brittleness index corresponding to each of the multiple test rocks; determining the maximum value of the index between the first rock brittleness index and the second rock brittleness index; and determining the mining location of the rock corresponding to the maximum value in the shale reservoir as the engineering sweet spot in the shale reservoir.

[0012] According to another aspect of the present invention, a shale brittleness determination apparatus is also provided, comprising: an acquisition module for acquiring a target rock, wherein the target rock is pre-mined from a shale reservoir; a determination module 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 minerals; a first determination module for 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 assemblage state of the target rock; and a second determination module for determining a first rock brittleness index of the target rock based on the mixing complexity, wherein the first rock brittleness index characterizes the degree of brittleness of the rock.

[0013] According to another aspect of the present invention, a non-volatile storage medium is also provided, the non-volatile storage medium including a stored program, wherein, when the program is executed, the device where the non-volatile storage medium is located is controlled to perform any of the above-described shale brittleness determination methods.

[0014] According to another aspect of the present invention, a computer device is also provided, the computer device including a memory and a processor, the memory being used to store a program, and the processor being used to run the program stored in the memory, wherein the program, when running, executes any of the above-described shale brittleness determination methods.

[0015] In this embodiment of the invention, by acquiring a 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 minerals; 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 assemblage state of the target rock; based on the mixing complexity, a first rock brittleness index characterizing the brittleness of the target rock is determined, thereby achieving the purpose of quantitatively assessing the brittleness of rocks based on clay mineral content, thus realizing the technical effect of broadening the quantitative characterization method for rock brittleness assessment, and further solving the technical problem of lacking a method for quantitatively characterizing rock brittleness based on clay mineral content. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

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

[0018] Figure 2 This is a flowchart illustrating the method for determining the brittleness of shale according to an embodiment of the present invention;

[0019] Figure 3 This is a schematic diagram of the complexity coefficient of brittle minerals provided by an optional embodiment of the present invention;

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

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

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

[0023] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort 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, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0025] According to an embodiment of the present invention, an embodiment of a method for determining the brittleness of shale is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0026] The methods and embodiments provided in this application can be executed on mobile terminals, computer terminals, or similar computing devices. Figure 1 A hardware block diagram of a computer terminal for implementing a method for determining the brittleness of shale is shown. Figure 1 As shown, the computer terminal 10 may include one or more processors (shown as processors 102a, 102b, ..., 102n in the figure) (the processor may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) 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 a BUS bus), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0027] It should be noted that the aforementioned one or more processors and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be implemented wholly or partially as software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be wholly or partially integrated into any other element in the computer terminal 10. As involved in the embodiments of this application, the data processing circuits serve as processor control (e.g., selection of a variable resistor termination path connected to an interface).

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

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

[0030] Figure 2 This is a flowchart illustrating the method for determining the brittleness of shale according to an embodiment of the present invention, as shown below. Figure 2 As shown, the method includes the following steps:

[0031] Step S202: Obtain the target rock, which is pre-mined from a shale reservoir. In this embodiment, the target rock is the rock for which brittleness analysis is to be performed.

[0032] As an optional embodiment, the target rock can be obtained by: acquiring initial mined rock, wherein the initial mined rock is mined from a shale reservoir; preparing the initial mined rock into a standard rock sample with fixed length and width (cubic cuboid); and drying the standard rock sample to constant weight to obtain the target rock.

[0033] The initial mined rock can be rock directly mined from shale reservoirs without processing. In this optional embodiment, the initial mined rock can undergo preliminary processing to obtain a more standard rock, i.e., the target rock, which is suitable for brittleness analysis according to this embodiment. Optionally, the rock from the shale reservoir section can be made into standard rock samples with a diameter of 2.5 cm and a length of 5 cm. These standard rock samples are then dried in a 100°C oven to constant weight to obtain the aforementioned target rock.

[0034] Step S204: 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 each clay mineral.

[0035] Clay is a fine-grained soil or rock composed of tiny particles, typically less than 0.002 millimeters in diameter. It is composed of one or more major minerals, the most common of which are layered silicate minerals.

[0036] Optionally, the brittle minerals may include at least one of quartz, dolomite, calcite, feldspar, and pyrite, and their composition can be determined using X-ray diffraction. The selection of the brittle minerals can be based on the Analytic Hierarchy Process (AHP). AHP is a decision analysis method designed to help decision-makers make decisions among multiple criteria or factors by comparing and evaluating the importance of the criteria or factors to determine the optimal choice.

[0037] The basic idea of ​​the Analytic Hierarchy Process (AHP) is to hierarchically decompose a complex decision problem into a hierarchical structure, divided from top to bottom into the objective layer, criterion layer, and alternative layer. Each layer contains several factors or criteria. Pairwise comparisons are performed at each layer to obtain the weights between factors. Finally, the optimal choice is obtained by weighted summation across all layers. Using the AHP helps decision-makers decompose complex decision problems into comparable factors, determine the best choice by comparing and evaluating the importance of these factors. This method enables quantitative and systematic decision-making, improving the accuracy and reliability of decisions.

[0038] Step S206: Determine the mixing complexity of the target rock based on the first mass percentage content and the second mass percentage content, where mixing complexity characterizes the mineral assemblage state of the target rock. Since clay, unlike brittle minerals, 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 assessed based on the mass percentage content of clay in the rock as a whole.

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

[0040] The mineral assemblage is crucial to the properties and characteristics of an ore. It can influence the ore's physical and chemical properties, such as hardness, density, color, and magnetism. Different mineral assemblages can also determine the ore's economic value and availability. The degree of mineral assemblage can be determined through mineralogical analysis of the ore. Mineralogical analysis uses methods such as microscopic observation, chemical analysis, and X-ray diffraction to identify and quantify different minerals in the ore. By analyzing the content and proportion of various minerals in an ore sample, the degree of mineral assemblage can be understood, thereby assessing its properties and availability. In summary, the degree of mineral assemblage describes the relative abundance and proportion of various minerals in a geological sample or ore, and 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; and 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 types can be denoted as n, which is the number of brittle mineral types plus clay. The clay content in the rock has a certain 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 content.

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

[0044] As an optional embodiment, determining the mixed complexity based on the brittle mineral complexity coefficient, the first mass percentage content, and the second mass percentage content can include the following method: successively subtracting the first mass percentage content and the second mass percentage content from the brittle mineral complexity coefficient to obtain multiple difference values; summing the absolute values ​​of the multiple difference values ​​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 mixed complexity.

[0045] Step S208: Determine the first rock brittleness index of the target rock based on the mixed complexity, wherein the first rock brittleness index is used to characterize the degree of brittleness of the rock.

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

[0047] Through the above steps, by obtaining the target rock and determining the composition of the brittle minerals and clay minerals included in the target rock, the first mass percentage content of each brittle mineral and the second mass percentage content of the clay mineral are obtained. Based on the first mass percentage content and the second mass percentage content, the mixing complexity of the target rock is determined, whereby the mixing complexity characterizes the mineral assemblage state of the target rock. Based on the mixing complexity, the first rock brittleness index, which characterizes the brittleness of the target rock, is determined. This achieves the goal of quantitatively assessing the brittleness of rocks based on clay mineral content, thereby broadening the technical effect of quantitative characterization methods for rock brittleness assessment and solving the technical problem of lacking a method for quantitative characterization of rock brittleness based on clay mineral content.

[0048] As an optional embodiment, multiple test rocks are obtained from multiple partitioned units in the shale reservoir; a second rock brittleness index is determined for each of the multiple test rocks; the maximum value of the first rock brittleness index and the second rock brittleness index is determined; and the mining location of the rock corresponding to the maximum value in the shale reservoir is determined as the engineering sweet spot in the shale reservoir.

[0049] The purpose of this invention is to provide a quantitative characterization method for the influence of clay content on the brittleness of shale reservoirs. Based on the above-mentioned optional embodiments, a comprehensive evaluation system affecting the compressibility of shale rocks can first be established using the analytic hierarchy process (AHP). Secondly, the target shale formation is divided into several units, and continuous core sampling is performed on each unit to test the mineral composition of the rock samples. Finally, based on the tested mineral composition, the influence of clay mineral content on shale brittleness is specifically highlighted, and a rock brittleness index is comprehensively calculated to quantitatively evaluate the degree of initial microfracture development in the reservoir. The higher the value, the greater the potential for volumetric fracturing to form a fracture network, and the better the rock brittleness, thereby achieving the purpose of quantitatively evaluating the brittleness of shale reservoir rocks.

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

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

[0052] (2) Rock sample preparation: The target evaluation section of the shale reservoir was divided into several units, and continuous core sampling was carried out for each evaluation unit. The rocks of the shale reservoir section were made into standard rock samples with a diameter of 2.5 cm and a length of 5 cm. The standard rock samples were placed in a 100℃ oven and dried to constant weight.

[0053] (3) Shale mineral composition test: The mineral composition of the rock sample in step (2) was tested using an X-ray diffractometer;

[0054] (4) Calculation of shale rock brittleness index: The rock brittleness index is calculated by comprehensively considering the mineral composition test results of shale samples. The higher the value, the more developed the initial microfractures, and the stronger the ability of the shale reservoir to form a fracture network during development. This helps to evaluate the engineering sweet spot of the shale reservoir, specifically including the following:

[0055] ①Based on the test results of different mineral components in the shale sample of the target section, the percentage content of different minerals is calculated using the following formula:

[0056]

[0057] In the formula: i represents the different mineral numbers of the shale sample, dimensionless; W represents the mass percentage of different minerals in the shale sample, %; M represents the mass of different minerals in the shale sample, g.

[0058] ② Utilizing the mechanical properties of minerals and considering the influence of clay mineral content in shale, the complexity of rock composition is expressed as the mixing complexity of the major minerals in the rock. The formula for calculating the complexity coefficient of brittle minerals is as follows:

[0059]

[0060] In the formula: K is the brittle mineral complexity coefficient, %; Q_clay is the clay mass percentage, %.

[0061] ③ Based on the difference in the percentage content of brittle minerals and clay in the shale sample, the complexity Z is calculated using the following formula:

[0062]

[0063] In the formula: Z is the complexity, which is dimensionless.

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

[0065]

[0066]

[0067] ⑤ Calculate the rock brittleness index C. For ease of observation and classification, the value range of the rock brittleness index is set between 0 and 1. The formula for calculating the rock brittleness index C is as follows:

[0068]

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

[0070] The method provided in the above specific embodiments defines a new brittleness index by coupling brittle minerals with clay minerals to quantitatively characterize the degree of microfracture development in rocks, which greatly improves the developability and accuracy of shale reservoirs in brittleness evaluation. Compared with the current method of evaluating the degree of microfracture development by well logging and microseismic monitoring, this method greatly saves testing costs, and its calculation method is simple and feasible.

[0071] Furthermore, the present invention provides the following specific embodiments, which are specific embodiments of quantitative characterization of brittle rock samples taken from a horizontal well of a shale reservoir in a certain block, illustrating the practicality of the method.

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

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

[0074] (2) Rock sample preparation: The target evaluation section of the shale reservoir was divided into several units, and continuous core sampling was carried out for each evaluation unit. The rocks of the shale reservoir section were 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 were dried in an oven at 100℃ until constant weight;

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

[0076] Table 1. Results of Mineral Composition and Quality Testing of Rock Samples

[0077]

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

[0079] ① Based on the quality test results of different mineral compositions of shale samples from the target shale section, the formula is used... The percentage content of different minerals was calculated, and the results are shown in Table 2.

[0080] Table 2. Results of mineral composition percentages in rock samples.

[0081]

[0082] ② Utilizing the mechanical properties of minerals, the complexity of rock assemblage is expressed in the mixing complexity of the main minerals within the rock, using formulas. The complexity coefficient of brittle minerals was calculated, with six minerals selected, so n equals 6. The calculation results are shown in Table 3 and Appendix. Figure 3 As shown.

[0083] Table 3. Calculation Results of Complexity Coefficient for Brittle Minerals

[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 Based on the difference in the percentage content of brittle minerals and clay in the shale sample, calculate using the formula. The complexity is Z, and the results are shown in Table 4.

[0086] Table 4. Complexity Calculation Results

[0087]

[0088] ④ Using formulas and The maximum value of the computational complexity Z. max and minimum value Z min Calculate Z max =1.36, Z min =0.33.

[0089] ⑤ Calculation using formula Calculate the rock brittleness index C and substitute it into Z. max =1.36, Z min =0.33, so C = 0.97Z - 0.32. The calculation results are shown in Table 5 and Appendix. Figure 4 and attached Figure 5 As shown in the figure, the brittleness indices of the six rock samples are 0.11 for WY1, 0.43 for WY2, 0.18 for WY3, 0.29 for WY4, 0.48 for WY5, and 0.24 for WY6. The order of rock brittleness is WY5 > WY2 > WY4 > WY6 > WY3 > WY1.

[0090] Table 5. Results of Brittleness Index Calculation

[0091]

[0092] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

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

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

[0095] Acquisition module 62 is used to acquire target rock, wherein the target rock is pre-mined from shale reservoir;

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

[0097] The first determining module 66 is connected to the above-mentioned measuring module 64 and is 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 assemblage state of the target rock.

[0098] The second determining module 68, connected to the first determining module 66, is used to determine the first rock brittleness index of the target rock based on the mixed complexity, wherein the first rock brittleness index is used to characterize the degree of brittleness of the rock.

[0099] It should be noted that the acquisition module 62, the measurement module 64, the first determination module 66, and the second determination module 68 mentioned above correspond to steps S202 to S208 in the embodiments. Multiple modules and their corresponding steps implement the same instances and application scenarios, but are not limited to the content disclosed in the above embodiments. It should also be noted that the above modules, as part of the device, can run on the computer terminal 10 provided in the embodiments.

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

[0101] 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 apparatus in this embodiment of the invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby realizing the aforementioned shale brittleness determination method. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to a computer terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0102] The processor can invoke information and application programs stored in the memory via a transmission device to perform the following steps: acquiring a target rock, wherein the target rock is pre-mined from a shale reservoir; determining the composition of 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 each clay mineral; 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 assemblage state of the target rock; and 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 degree of brittleness of the rock.

[0103] Optionally, the processor may also execute program code for 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; and 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 program code for 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 content, including: determining the total mass percentage content of brittle minerals based on the second mass percentage content; dividing the total mass percentage content by the second mass percentage content and then dividing by the number of rock mineral types to obtain the brittle mineral complexity coefficient.

[0105] Optionally, the processor may also execute program code with the following steps: determining the mixed 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 sequence to obtain multiple difference values; summing the absolute values ​​of the multiple difference values ​​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 mixed complexity.

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

[0107] Optionally, the processor may also execute program code 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 with fixed length and width (cubic prism); drying the standard rock sample to constant weight to obtain the target rock.

[0108] Optionally, the processor may also execute program code for the following steps: acquiring multiple test rocks extracted from multiple partitioned units in the shale reservoir; determining the second rock brittleness index corresponding to each of the multiple test rocks; determining the maximum value of the first rock brittleness index and the second rock brittleness index; and determining the mining location of the rock corresponding to the maximum value in the shale reservoir as the engineering sweet spot in the shale reservoir.

[0109] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a non-volatile storage medium, which may include: flash drive, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, etc.

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

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

[0112] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: obtaining a target rock, wherein the target rock is pre-mined from a shale reservoir; determining the composition of 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 each clay mineral; 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 assemblage state of the target rock; and 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 degree of brittleness of the rock.

[0113] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: determining the mixing complexity of the target rock based on a first mass percentage content and a 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; and 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 performing 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 content, including: determining the total mass percentage content of brittle minerals based on the second mass percentage content; dividing the total mass percentage content by the second mass percentage content 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 code for performing the following steps: determining the mixed 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 sequence to obtain multiple difference values; summing the absolute values ​​of the multiple difference values ​​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 mixed complexity.

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

[0117] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing 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 with fixed length and width (cubic prism); drying the standard rock sample to constant weight to obtain the target rock.

[0118] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: obtaining multiple test rocks extracted from multiple partitioned units in the shale reservoir; determining the second rock brittleness index corresponding to each of the multiple test rocks; determining the maximum value of the first rock brittleness index and the second rock brittleness index; and determining the mining location of the rock corresponding to the maximum value in the shale reservoir as the engineering sweet spot in the shale reservoir.

[0119] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0120] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer 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. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

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

[0123] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0124] If the integrated unit is implemented as 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. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0125] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining the brittleness of shale, characterized in that, include: Obtain the target rock, wherein the target rock was previously mined from a shale reservoir; The brittle minerals and clay minerals included in the target rock were analyzed to obtain the first mass percentage content of each brittle mineral and the second mass percentage content of each clay mineral. The mixing complexity of the target rock is determined based on the first mass percentage content and the second mass percentage content, wherein the mixing complexity characterizes the mineral assemblage state of the target rock; Based on the aforementioned complexity, a first rock brittleness index is determined for the target rock, wherein the first rock brittleness index is used to characterize the degree of brittleness of the rock; The step of 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 total mass percentage content of the brittle minerals based on the second mass percentage content; dividing the total mass percentage content by the second mass percentage content and then by the number of rock mineral types to obtain the brittle mineral complexity coefficient, wherein the brittle mineral complexity coefficient is negatively correlated with the second mass percentage content; subtracting the first mass percentage content and the second mass percentage content from the brittle mineral complexity coefficient in sequence to obtain multiple difference values; summing the absolute values ​​of the multiple difference values ​​to obtain a summation value; subtracting the second mass percentage content from the summation value and then adding the brittle mineral complexity coefficient to obtain the mixing complexity. The step of determining the first rock brittleness index of the target rock based on the mixing complexity includes: determining the maximum and minimum mixing complexity of the target rock based on the number of rock mineral types, calculated according to the following formula: and Among them, Z max Z represents the maximum value of the mixed complexity. min Let n be the minimum value of the mixing complexity, and n be the number of rock and mineral types. Based on the maximum and minimum values ​​of the mixing complexity, the mixing complexity is normalized to obtain the first rock brittleness index, which is calculated using the following formula: Where C is the rock brittleness index and Z is the mixed complexity.

2. The method according to claim 1, characterized in that, The acquisition of the target rock includes: Obtaining initial mining rock, wherein the initial mining rock is obtained from the shale reservoir; The initial mined rock was made into a standard rock sample with fixed length and width (cubic prism). The standard rock sample was dried to constant weight to obtain the target rock.

3. The method according to any one of claims 1 to 2, characterized in that, Also includes: Multiple test rocks were obtained from multiple partitioned units in the shale reservoir; Determine the second rock brittleness index corresponding to each of the plurality of rocks to be tested; Determine the maximum value of the first rock brittleness index and the second rock brittleness index; The mining location 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.

4. A device for determining the brittleness of shale, characterized in that, include: An acquisition module is used to acquire target rock, wherein the target rock is pre-mined from a shale reservoir; The determination module is used to determine the composition of brittle minerals and clay minerals included in the target rock, and to obtain the first mass percentage content of each of the brittle minerals and the second mass percentage content of each of the clay minerals. A first determining module is configured 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 assemblage state of the target rock; The second determining module is used to determine a first rock brittleness index of the target rock based on the mixed complexity, wherein the first rock brittleness index is used to characterize the degree of brittleness of the rock; The first determining module is further configured to: obtain the number of rock and mineral types corresponding to the target rock, wherein the number of rock and mineral types is the number of brittle mineral types plus 1; determine the total mass percentage of the brittle minerals based on the second mass percentage content; divide the total mass percentage content by the second mass percentage content and then by the number of rock and mineral types to obtain the brittle mineral complexity coefficient, wherein the brittle mineral complexity coefficient is negatively correlated with the second mass percentage content; subtract the first mass percentage content and the second mass percentage content from the brittle mineral complexity coefficient sequentially to obtain multiple difference values; sum the absolute values ​​of the multiple difference values ​​to obtain a summation value; subtract the second mass percentage content from the summation value and then add the brittle mineral complexity coefficient to obtain the mixed complexity; The second determining module is further configured to determine the maximum and minimum mixing complexity of the target rock based on the number of rock mineral types, calculated according to the following formula: and Among them, Z max Z represents the maximum value of the mixed complexity. min Let n be the minimum value of the mixing complexity, and n be the number of rock and mineral types. Based on the maximum and minimum values ​​of the mixing complexity, the mixing complexity is normalized to obtain the first rock brittleness index, which is calculated using the following formula: Where C is the rock brittleness index and Z is the mixed complexity.

5. A non-volatile storage medium, characterized in that, The non-volatile storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the non-volatile storage medium to perform the shale brittleness determination method according to any one of claims 1 to 3.

6. A computer device, characterized in that, The computer device includes a memory and a processor, the memory being used to store a program, and the processor being used to run the program stored in the memory, wherein the program, when running, executes the shale brittleness determination method according to any one of claims 1 to 3.

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