Rock anisotropy determination method and device, electronic equipment and storage medium

Abstract

The invention discloses a rock anisotropy determination method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a target rock sample corresponding to a to-be-measured region, and arranging a high-temperature strain gauge on the target rock sample; acquiring to-be-processed rock strain data corresponding to the target rock sample based on the high-temperature strain gauge; and determining an anisotropy coefficient corresponding to the target rock sample based on the to-be-processed rock strain data, and determining the anisotropy grade of the target rock sample according to the anisotropy coefficient. Based on the technical scheme, the high-temperature strain gauge is arranged on the target rock sample, the strain data of the target rock sample is obtained, the anisotropy coefficient corresponding to the target rock sample is determined based on the strain data, and the anisotropy grade of the target rock sample is determined according to the anisotropy coefficient. And the determination accuracy of the rock anisotropy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of rock mechanics testing, and in particular to a method, device, electronic equipment and storage medium for determining rock anisotropy. Background Art

[0002] Rock anisotropy is an important indicator for determining rock strength, deformation, self-energy storage capacity and seepage characteristics. Especially in the field of rock mechanics engineering, different requirements are placed on the anisotropy of rock materials under different engineering background conditions.

[0003] However, the existing method for determining rock anisotropy is to determine the anisotropy of rock through microscopic analysis, which pays too much attention to the characteristics of rock crack distribution and ignores the influence of rock material composition on anisotropy, which leads to the fact that the existing method for determining rock anisotropy is not comprehensive. Summary of the invention

[0004] The present invention provides a method, device, electronic device and storage medium for determining rock anisotropy, so as to solve the problem that the existing method for determining rock anisotropy pays too much attention to the distribution of rock cracks and cannot fully determine the anisotropy of the rock.

[0005] According to one aspect of the present invention, a method for determining rock anisotropy is provided, the method comprising:

[0006] Obtaining a target rock sample corresponding to the area to be tested, and setting a high-temperature strain gauge on the target rock sample;

[0007] Acquiring the rock strain data to be processed corresponding to the target rock sample based on the high temperature strain gauge;

[0008] The anisotropy coefficient corresponding to the target rock sample is determined based on the rock strain data to be processed, and the anisotropy grade of the target rock sample is determined according to the anisotropy coefficient.

[0009] According to another aspect of the present invention, there is provided a device for determining rock anisotropy, the device comprising:

[0010] A sample preprocessing module is used to obtain a target rock sample corresponding to the area to be tested, and to set a high-temperature strain gauge on the target rock sample;

[0011] A strain data acquisition module, used for acquiring the strain data of the rock to be processed corresponding to the target rock sample based on the high temperature strain gauge;

[0012] The anisotropy grade determination module is used to determine the anisotropy coefficient corresponding to the target rock sample based on the rock strain data to be processed, and determine the anisotropy grade of the target rock sample according to the anisotropy coefficient.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining rock anisotropy described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the method for determining rock anisotropy described in any embodiment of the present invention when executed by a processor.

[0018] The technical solution of the embodiment of the present invention is to obtain a target rock sample corresponding to the area to be tested, and set a high-temperature strain gauge on the target rock sample, and then obtain the strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge, and finally determine the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed, and determine the anisotropy level of the target rock sample according to the anisotropy coefficient. Based on the above technical solution, by setting a high-temperature strain gauge on the target rock sample and obtaining the strain data of the target rock sample, determining the anisotropy coefficient corresponding to the target rock sample based on the strain data, and determining the anisotropy level of the target rock sample according to the anisotropy coefficient, the accuracy of determining the anisotropy of the rock is improved.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 It is a schematic flow chart of a method for determining rock anisotropy provided by an embodiment of the present invention;

[0022] Figure 2 is a schematic diagram of a high temperature strain gauge arrangement scheme provided in an embodiment of the present invention;

[0023] Figure 3 is a flow chart of a method for determining rock anisotropy provided by an embodiment of the present invention;

[0024] Figure 4 is a structural block diagram of a device for determining rock anisotropy provided by an embodiment of the present invention;

[0025] Figure 5 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0026] 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.

[0027] 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.

[0028] Embodiment 1

[0029] Figure 1It is a flow chart of a method for determining rock anisotropy provided by an embodiment of the present invention. This embodiment can be applied to the case where strain data of a target rock sample is obtained by a high-temperature strain gauge arranged on the sample, an anisotropy coefficient corresponding to the rock sample is determined based on the strain data, and then the anisotropy level is determined. The method can be executed by a device for determining rock anisotropy. The device for determining rock anisotropy can be implemented in the form of hardware and / or software. The device for determining rock anisotropy can be configured in an electronic device. The electronic device can be a server, a terminal device, etc.

[0030] like Figure 1 As shown, the method includes:

[0031] S110, obtaining a target rock sample corresponding to the area to be measured, and setting a high-temperature strain gauge on the target rock sample.

[0032] The area to be tested may be a predetermined geological exploration area where rock anisotropy analysis is required, or an area with a specific geological structure. The target rock sample may be understood as a rock sample taken from the area to be tested. The high temperature strain gauge may be a sensor for obtaining stress data in a high temperature environment, such as a high temperature foil strain gauge.

[0033] Specifically, a target rock sample corresponding to the area to be tested is obtained, and a high-temperature strain gauge is set on the target rock sample. For example, the area to be tested can be determined from the exploration area based on demand, and then rock sampling is performed in the area to be tested to obtain the target rock sample, and a high-temperature strain gauge is set on the target rock sample. It should be noted that in order to ensure that the target rock sample has good representativeness, the geological structure data corresponding to the exploration area can be obtained in advance, and the area to be tested can be determined based on the low-quality structure data. For example, the lithology, engineering characteristics, and weathering degree of the granite in the exploration area can be obtained to evaluate the surrounding rock quality grade data.

[0034] On the basis of the above technical solution, the method of obtaining the target rock sample corresponding to the area to be tested includes: vertically drilling from the area to be tested based on a preset sampling interval to obtain at least three core columns to be processed; and processing the core columns to be processed based on preset processing parameters to obtain the target rock sample.

[0035] The preset sampling interval may be a preset interval between the collected samples. Vertical drilling may be understood as a drilling method that uses a vertical drilling tool to perform vertical operations. The unprocessed core column may be an unprocessed core sample obtained by drilling. The preset processing parameters may be understood as preset parameters for processing the unprocessed core column to obtain a rock sample.

[0036] Specifically, vertical drilling is performed from the test area based on a preset sampling interval to obtain at least three core columns to be processed, and the core columns to be processed are processed based on preset processing parameters to obtain the target rock sample. For example, vertical drilling can be performed based on a preset sampling interval to obtain at least three core columns to be processed. It should be noted that in order to ensure the representativeness of the samples obtained by sampling, the preset sampling interval does not exceed 50 cm, and 3 to 5 core columns with a length of 10 to 20 cm can be continuously taken from the same bottom layer. After the core columns to be processed are obtained, the core columns to be processed are processed based on the preset processing parameters to obtain the target rock sample, which can be a target rock sample of a cylinder with a diameter of 30 to 50 mm and a thickness of 50 to 70 mm. It can be understood that in order to ensure the uniformity of the sample, a target rock sample of a cylinder with a processing diameter of 50 mm and a thickness of 60 mm can be obtained through processing.

[0037] On the basis of the above technical solution, the high-temperature strain gauges are set on the target rock sample, including: establishing a three-dimensional coordinate system corresponding to the target rock sample with the center of the bottom surface of the target rock sample as the origin; and setting at least three groups of high-temperature strain gauges on the target rock sample based on the three-dimensional coordinate system.

[0038] The center of the bottom surface may be the center of the bottom surface of the cylinder. The three-dimensional coordinate system may be a Cartesian coordinate system. The high temperature strain gauge is arranged on the outer wall of the target rock sample by means of an adhesive. The adhesive may be a chemical adhesive for fixing the high temperature strain gauge, for example, a high temperature adhesive, etc. It should be noted that in order to ensure the accuracy of the acquired data, the high temperature strain gauge may be arranged on the target rock sample in groups, and a group of high temperature strain gauges may consist of at least two high temperature strain gauges.

[0039] Specifically, a three-dimensional coordinate system corresponding to the target rock sample is established with the center of the bottom surface of the target rock sample as the origin, and then at least three groups of high-temperature strain gauges are arranged on the target rock sample based on the three-dimensional coordinate system. For example, after the three-dimensional coordinate system corresponding to the target rock sample is established, at least three groups of high-temperature strain gauges can be arranged in the x, y, and z directions of the target rock sample, including at least the x-axis direction, the y-axis direction, and the z-axis direction. For example, in order to ensure the comprehensiveness of the experimental data, nine groups of high-temperature strain gauges can also be arranged on the target rock sample, such as Figure 2As shown in the figure, No. 1 is the target rock sample, No. 2 is the first group of high temperature strain gauges, including strain gauges C1 and C2 parallel to the x-axis; No. 3 is the second group of high temperature strain gauges, including strain gauges C3 and C4 parallel to the y-axis; No. 4 is the third group of high temperature strain gauges, including strain gauges C5 and C6 parallel to the z-axis; No. 5 is the fourth group of high temperature strain gauges, including strain gauges C7 and C8 parallel to the xOy plane, forming an angle of 45° with the positive direction of the x-axis and the y-axis; No. 6 is the fifth group of high temperature strain gauges, including strain gauges C9 and C10 parallel to the xOy plane, forming an angle of 45° with the positive direction of the x-axis and the negative direction of the y-axis; No. 7 is the fifth group of high temperature strain gauges, including strain gauges C9 and C10 parallel to the xOy plane, forming an angle of 45° with the positive direction of the x-axis and the negative direction of the y-axis; Six groups of high temperature strain gauges, including strain gauges C11 and C12, are parallel to the xOz plane and form a 45° angle with the negative direction of the x-axis and the positive direction of the z-axis; No. 8 is the seventh group of high temperature strain gauges, including strain gauges C13 and C14, which are parallel to the xOz plane and form a 45° angle with the positive direction of the x-axis and the positive direction of the z-axis; No. 9 is the eighth group of high temperature strain gauges, including strain gauges C15 and C16, which are parallel to the yOz plane and form a 45° angle with the negative direction of the y-axis and the positive direction of the z-axis; No. 10 is the eighth group of high temperature strain gauges, including strain gauges C17 and C18, which are parallel to the yOz plane and form a 45° angle with the positive direction of the y-axis and the positive direction of the z-axis.

[0040] S120. Acquire the rock strain data to be processed corresponding to the target rock sample based on the high temperature strain gauge.

[0041] The rock strain data to be processed may be rock strain data directly collected by high-temperature strain gauges.

[0042] Specifically, the target rock sample may be heated at high temperature, the strain data of the target rock sample during the heating process may be obtained based on the high temperature strain gauge, and the collected strain data may be used as the rock strain data to be processed.

[0043] On the basis of the above technical solution, the method of obtaining the rock strain data to be processed corresponding to the target rock sample based on the high-temperature strain gauge includes: obtaining an experimental temperature range and a temperature step, and performing a heating experiment on the target rock sample based on the experimental temperature range and the heating step; obtaining deformation data of the target rock sample during the heating experiment based on the high-temperature strain gauge, and using the deformation data as the rock strain data to be processed.

[0044] The experimental temperature curve may be a pre-set temperature range of a high temperature heating experiment, for example, 100°C-250°C. The temperature step may be understood as the temperature value of each acquisition data change. The deformation data may be understood as the deformation of the rock when the rock sample is heated.

[0045] Specifically, the experimental temperature range and temperature step are obtained, and the target rock sample is subjected to a heating experiment based on the experimental temperature range and the heating step, and then the deformation data of the target rock sample during the heating experiment is obtained based on the high-temperature strain gauge, and the deformation data is used as the rock strain data to be processed. Exemplarily, it can be heated from 100°C to 250°C. The high-temperature strain gauges at four different temperatures of 100°C, 150°C, 200°C, and 250°C produce corresponding data changes, thereby recording strain data under different high temperature conditions.

[0046] S130. Determine an anisotropy coefficient corresponding to the target rock sample based on the rock strain data to be processed, and determine an anisotropy grade of the target rock sample according to the anisotropy coefficient.

[0047] Among them, the anisotropy coefficient can be a parameter reflecting the plastic behavior characteristics of the material. The anisotropy grade can be understood as the grade information indicating the mechanical parameters of the rock sample.

[0048] Specifically, after obtaining the strain data of the rock to be processed corresponding to the target rock sample, the anisotropy coefficient corresponding to the target rock sample can be determined based on the strain data of the rock to be processed, and the anisotropy level of the target rock sample can be determined according to the anisotropy coefficient. It should be noted that under heating conditions, due to the anisotropy of the rock, the rock will produce uneven thermal strains in different directions. The mechanical anisotropy of the rock mechanical characteristics can be reflected by calculating the anisotropy coefficients of the rock through the thermal strain data.

[0049] On the basis of the above technical solution, the anisotropy coefficient corresponding to the target rock sample based on the rock strain data to be processed includes: determining the target strain data corresponding to the target rock sample based on the rock strain data to be processed; obtaining the direction cosine value corresponding to the high-temperature strain gauge, and determining the anisotropy coefficient based on the target strain data of the direction cosine value.

[0050] The target rock strain data may be the average rock deformation data obtained by calculating the rock strain data to be processed. The direction cosine value may be understood as the cosine value of the angle formed by the high temperature strain gauge and the strain axis direction.

[0051] Specifically, the target strain data corresponding to the target rock sample is determined based on the rock strain data to be processed, and then the direction cosine value corresponding to the high-temperature strain gauge is obtained. The anisotropy coefficient is determined based on the direction cosine value and the target strain data. Exemplarily, the target rock sample may be heated from 100°C to 150°C, and the deformation difference data recorded by eighteen high-temperature strain gauges (C1 to C18) are a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, and a18. The average deformation of each set of strain gauges is calculated as b1, b2, b3, b4, b5, b6, b7, b8, b9, where b1 = (a1 + a2) / 2, b2 = (a3 + a4) / 2, b3 = (a5 + a6) / 2, b4 = (a7 + a8) / 2, b5 = (a9 + a 10 ) / 2, b6=(a 11 +a 12 ) / 2, b7=(a 13 +a 14 ) / 2, b8=(a 15 +a 16 ) / 2, b9=(a 17 +a 18 ) / 2, and then obtain the direction cosine value corresponding to the high temperature strain gauge, and determine the anisotropy coefficient based on the direction cosine value target strain data.

[0052] On the basis of the above technical solution, the anisotropy coefficient is determined based on the direction cosine value and the target strain data, including: determining a coefficient matrix based on the direction cosine value, and determining a strain equation based on the coefficient matrix and the target strain data; determining a principal strain value corresponding to the target rock sample according to the strain equation, and determining the anisotropy coefficient based on the principal strain value.

[0053] The coefficient matrix can be understood as a coefficient matrix composed of direction cosine values. The strain equation can be an equation for solving the principal strain value. The principal strain value can be understood as the linear strain corresponding to the principal stress.

[0054] Specifically, a coefficient matrix is ​​determined according to the direction cosine values, and a strain equation is determined based on the coefficient matrix and the target strain data, and the principal strain value corresponding to the target rock sample is determined according to the strain equation, and the anisotropy coefficient is determined based on the principal strain value. Exemplarily, the core coordinate system is assumed to be O-xyz, and the z-axis is the same as the radial direction of the core. Then the relationship between the average strain value measured by the high-temperature strain gauge and the principal strain tensor can be written as: Aε=b. Where, ε=[ε x ,ε y ,εz ,ε xy ,ε yz ,ε zx ] T represents the strain tensor of rock, b=[b1,b2,b3,b4,b5,b6,b7,b8,b9] T is the average strain value measured by the high temperature strain gauge, and the coefficient matrix A is composed of direction cosine values. Among them, l i ,m i ,n i It is the direction cosine of axis a1-a18 relative to the coordinate system O-xyz. The direction cosine values ​​are shown in Table 1:

[0055] Table 1

[0056]

[0057] Based on the above data, the coefficient matrix can be determined

[0058] Then, the least square method is used to solve the above relationship to obtain the strain equation:

[0059] ε 3 -(ε1+ε2+ε3)ε 2 +(ε2ε3+ε3ε1+ε1ε2)ε-ε1ε2ε3=0; where, ε1+ε2+ε3=ε x +ε y +ε z , The result of solving the above strain equation is the three principal strain values ​​ε l ,ε m ,ε n (ε l >ε m >ε n ), and then through the three principal strains ε l ,ε m ,ε n (ε l >ε m >ε n ), the formula for calculating the anisotropy coefficient is K = 2ε l / (ε m +ε n ), the anisotropy coefficient can be obtained.

[0060] On the basis of the above technical solution, the anisotropy grade of the target rock sample is determined according to the anisotropy coefficient, including: if the anisotropy coefficient is in a first numerical interval, the mechanical anisotropy grade of the target rock sample is determined to be the first grade; if the anisotropy coefficient is in a second numerical interval, the mechanical anisotropy grade of the target rock sample is determined to be the second grade; if the anisotropy coefficient is in a third numerical interval, the mechanical anisotropy grade of the target rock sample is determined to be the third grade.

[0061] The mechanical anisotropy grade can be understood as grade data for evaluating the anisotropy of rock samples. The values ​​in the first numerical interval are smaller than the values ​​in the second numerical interval, and the values ​​in the second numerical interval are smaller than the values ​​in the third numerical interval; the third grade is better than the second grade, and the second grade is better than the first grade.

[0062] Specifically, if the anisotropy coefficient is in the first numerical interval, the mechanical anisotropy grade of the target rock sample is determined to be the first grade, if the anisotropy coefficient is in the second numerical interval, the mechanical anisotropy grade of the target rock sample is determined to be the second grade, and if the anisotropy coefficient is in the third numerical interval, the mechanical anisotropy grade of the target rock sample is determined to be the third grade. Exemplarily, when the anisotropy coefficient is between 1 and 2, the mechanical anisotropy grade of the rock sample is considered to be poor; when the rock anisotropy coefficient is between 2 and 4, the mechanical anisotropy grade of the rock sample is determined to be medium; when the rock anisotropy coefficient is greater than 4, the mechanical anisotropy grade of the rock sample is determined to be good.

[0063] The technical solution of the embodiment of the present invention is to obtain a target rock sample corresponding to the area to be tested, and set a high-temperature strain gauge on the target rock sample, and then obtain the strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge, and finally determine the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed, and determine the anisotropy level of the target rock sample according to the anisotropy coefficient. Based on the above technical solution, by setting a high-temperature strain gauge on the target rock sample and obtaining the strain data of the target rock sample, determining the anisotropy coefficient corresponding to the target rock sample based on the strain data, and determining the anisotropy level of the target rock sample according to the anisotropy coefficient, the accuracy of determining the anisotropy of the rock is improved.

[0064] Embodiment 2

[0065] Figure 3A flow chart of a method for determining rock anisotropy provided in an embodiment of the present invention. Based on the above embodiment, this embodiment further optimizes the above method for determining rock anisotropy. The specific implementation method can refer to the technical solution of this embodiment. Among them, the technical terms that are the same or corresponding to the above embodiment are not repeated here.

[0066] like Figure 3 The method of the embodiment of the present invention includes:

[0067] Obtain the target rock sample and set up a high-temperature strain gauge: Specifically, select a deep complete stratum to be tested as the area to be drilled and sampled, perform vertical drilling and coring on the complete stratum to be tested for mechanical anisotropy evaluation, and continuously take 3 to 5 core columns with a length of 10 to 20 cm, which can be 3 core columns with a length of 10 to 20 cm. The sampling distance of the core columns of the same stratum should not exceed 50 cm. The stratum with the above core columns is a complete stratum, not a broken zone stratum. The sampling interval does not exceed 50 cm to ensure that the sampled core columns come from the same stratum. The obtained core columns are processed and uniformly processed to obtain the rock sample with a cylindrical shape of 30 to 50 mm in diameter and 50 to 70 mm in thickness. Preferably, the target rock sample with a cylindrical shape of 50 mm in diameter and 60 mm in thickness is processed. Eighteen high-temperature strain gauges are arranged in the x, y, and z directions of the cylindrical rock sample. Adhesive is dripped on the rock sample and the high-temperature strain gauges to fix the high-temperature strain gauges and the rock sample together to monitor the strain data during the heating stage. Exemplarily, strain gauges C1 and C2 are parallel to the x-axis; strain gauges C3 and C4 are parallel to the y-axis; strain gauges C5 and C6 are parallel to the z-axis; strain gauges C7 and C8 are parallel to the xOy plane, and form an angle of 45° with the positive direction of the x-axis and the y-axis; strain gauges C9 and C10 are parallel to the xOy plane, and form an angle of 45° with the positive direction of the x-axis and the negative direction of the y-axis; strain gauges C11 and C12 are parallel to the xOz plane, and form an angle of 45° with the negative direction of the x-axis and the positive direction of the z-axis; strain gauges C13 and C14 are parallel to the xOz plane, and form an angle of 45° with the positive direction of the x-axis and the positive direction of the z-axis; strain gauges C15 and C16 are parallel to the yOz plane, and form an angle of 45° with the negative direction of the y-axis and the positive direction of the z-axis; strain gauges C17 and C18 are parallel to the yOz plane, and form an angle of 45° with the positive direction of the y-axis and the positive direction of the z-axis.

[0068] Determine the anisotropy coefficient of the target rock sample: Specifically, a high-temperature heating experiment is performed on the target rock sample, which is heated from 100°C to 250°C. The high-temperature strain gauges at four different temperatures of 100°C, 150°C, 200°C, and 250°C produce corresponding data changes, thereby recording the strain data under different high temperature conditions. It should be noted that when the target rock sample is heated from 100°C to 150°C, the deformation difference data recorded by the eighteen high-temperature strain gauges (C1 to C18) are a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, and a18. The average deformation of each set of strain gauges is calculated as b1, b2, b3, b4, b5, b6, b7, b8, b9, where b1 = (a1 + a2) / 2, b2 = (a3 + a4) / 2, b3 = (a5 + a6) / 2, b4 = (a7 + a8) / 2, b5 = (a9 + a 10 ) / 2, b6=(a 11 +a 12 ) / 2, b7=(a 13 +a 14 ) / 2, b8=(a 15 +a 16 ) / 2, b9=(a 17 +a 18 ) / 2, the relationship between the average strain value measured by the high temperature strain gauge and the principal strain tensor can be written as: Aε=b. In the formula, ε=[ε x ,ε y ,ε z ,ε xy ,ε yz ,ε zx ] T represents the strain tensor of rock, b=[b1,b2,b3,b4,b5,b6,b7,b8,b9] T is the average strain value measured by the high temperature strain gauge. A is the coefficient matrix, which is composed of direction cosine values. The least squares method is used to solve the problem. The solution process is as follows: A T Aε=A T b, solve: ε=(A T A) -1 A T b, the strain component ε=[ε x ,ε y ,ε z ,ε xy ,ε yz ,ε zx ] T The strain component ε can be expressed by three principal strains, and the magnitude of the principal strains can be obtained by solving the following set of equations: Solve the above linear homogeneous equations. The specific solution process is as follows: The determinant is expanded into a cubic equation: ε 3 -(ε1+ε2+ε3)ε 2 +(ε2ε3+ε3ε1+ε1ε2)ε-ε1ε2ε3=0; where: ε1+ε2+ε3=ε x +ε y +ε z , The result of the equation is the three principal strain values ​​ε l ,ε m ,ε n (ε l >ε m >ε n ). Through the three principal strains ε l ,ε m ,ε n (ε l >ε m >ε n ), the formula for calculating the anisotropy coefficient is K = 2ε l / (ε m +ε n ).

[0069] Determine the anisotropy grade of the rock: Specifically, the anisotropy coefficient K1 of the cylindrical rock sample heated from 100°C to 150°C is obtained by calculation. From this, the anisotropy coefficients K2 and K3 of the rock samples heated from 150°C to 200°C and from 200°C to 250°C are calculated by the calculation method. Therefore, the anisotropy coefficient of the rock sample can be expressed as K'=(K1+K2+K3) / 3, thereby evaluating the mechanical anisotropy of the rock. The closer the K' value of the rock anisotropy coefficient is to 1, the worse the mechanical anisotropy grade of the rock sample is determined to be; the larger the K' value of the rock anisotropy coefficient is, the better the mechanical anisotropy of the rock sample is. When the anisotropy coefficient is between 1 and 2, the mechanical anisotropy grade of the rock sample is determined to be poor; when the anisotropy coefficient of the rock is between 2 and 4, the mechanical anisotropy grade of the rock sample is determined to be medium; when the anisotropy coefficient of the rock is greater than 4, the mechanical anisotropy grade of the rock sample is determined to be good.

[0070] The technical solution of the embodiment of the present invention is to obtain a target rock sample corresponding to the area to be tested, and set a high-temperature strain gauge on the target rock sample, and then obtain the strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge, and finally determine the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed, and determine the anisotropy level of the target rock sample according to the anisotropy coefficient. Based on the above technical solution, by setting a high-temperature strain gauge on the target rock sample and obtaining the strain data of the target rock sample, determining the anisotropy coefficient corresponding to the target rock sample based on the strain data, and determining the anisotropy level of the target rock sample according to the anisotropy coefficient, the accuracy of determining the anisotropy of the rock is improved.

[0071] Embodiment 3

[0072] Figure 4 The structure block diagram of a device for determining rock anisotropy provided by an embodiment of the present invention is shown in FIG. Figure 4 As shown, the device includes: a sample preprocessing module 410 , a strain data acquisition module 420 and an anisotropy level determination module 430 .

[0073] The sample preprocessing module 410 is used to obtain a target rock sample corresponding to the area to be tested, and to set a high-temperature strain gauge on the target rock sample;

[0074] A strain data acquisition module 420 is used to acquire the strain data of the rock to be processed corresponding to the target rock sample based on the high temperature strain gauge;

[0075] The anisotropy level determination module 430 is used to determine the anisotropy coefficient corresponding to the target rock sample based on the rock strain data to be processed, and determine the anisotropy level of the target rock sample according to the anisotropy coefficient.

[0076] On the basis of the above technical solution, the sample preprocessing module is used to perform vertical drilling from the test area based on a preset sampling interval to obtain at least three core columns to be processed; and process the core columns to be processed based on preset processing parameters to obtain the target rock sample.

[0077] On the basis of the above technical solution, the sample preprocessing module is used to establish a three-dimensional coordinate system corresponding to the target rock sample with the center of the bottom surface of the target rock sample as the origin; at least three groups of high-temperature strain gauges are set on the target rock sample based on the three-dimensional coordinate system; wherein the high-temperature strain gauges are set on the outer wall of the target rock sample through an adhesive.

[0078] On the basis of the above technical solution, the strain data acquisition module is used to obtain the experimental temperature range and temperature step, and perform a heating experiment on the target rock sample based on the experimental temperature range and the heating step; based on the high-temperature strain gauge, the deformation data of the target rock sample during the heating experiment is obtained, and the deformation data is used as the rock strain data to be processed.

[0079] On the basis of the above technical solution, the anisotropy level determination module is used to determine the target strain data corresponding to the target rock sample based on the rock strain data to be processed; obtain the direction cosine value corresponding to the high-temperature strain gauge, and determine the anisotropy coefficient based on the target strain data of the direction cosine value.

[0080] On the basis of the above technical solution, the anisotropy level determination module is used to determine a coefficient matrix based on the direction cosine values, and to determine a strain equation based on the coefficient matrix and the target strain data; to determine a principal strain value corresponding to the target rock sample according to the strain equation, and to determine the anisotropy coefficient based on the principal strain value.

[0081] On the basis of the above technical solution, the anisotropy level determination module is used to determine the mechanical anisotropy level of the target rock sample as the first level if the anisotropy coefficient is in the first numerical interval; determine the mechanical anisotropy level of the target rock sample as the second level if the anisotropy coefficient is in the second numerical interval; and determine the mechanical anisotropy level of the target rock sample as the third level if the anisotropy coefficient is in the third numerical interval; wherein the values ​​in the first numerical interval are smaller than the values ​​in the second numerical interval, and the values ​​in the second numerical interval are smaller than the values ​​in the third numerical interval; the third level is better than the second level, and the second level is better than the first level.

[0082] The technical solution of the embodiment of the present invention is to obtain a target rock sample corresponding to the area to be tested, and set a high-temperature strain gauge on the target rock sample, and then obtain the strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge, and finally determine the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed, and determine the anisotropy level of the target rock sample according to the anisotropy coefficient. Based on the above technical solution, by setting a high-temperature strain gauge on the target rock sample and obtaining the strain data of the target rock sample, determining the anisotropy coefficient corresponding to the target rock sample based on the strain data, and determining the anisotropy level of the target rock sample according to the anisotropy coefficient, the accuracy of determining the anisotropy of the rock is improved.

[0083] The rock anisotropy determination device provided in the embodiment of the present invention can execute the rock anisotropy determination method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0084] Embodiment 4

[0085] Figure 5 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0086] like Figure 5 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0087] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0088] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for determining rock anisotropy.

[0089] In some embodiments, method XXX may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for determining rock anisotropy described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method for determining rock anisotropy in any other appropriate manner (e.g., by means of firmware).

[0090] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0091] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0092] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0093] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0094] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0095] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0096] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0097] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining rock anisotropy, characterized in that: include: Obtaining a target rock sample corresponding to the area to be tested, and setting a high-temperature strain gauge on the target rock sample; Acquiring the rock strain data to be processed corresponding to the target rock sample based on the high temperature strain gauge; The anisotropy coefficient corresponding to the target rock sample is determined based on the rock strain data to be processed, and the anisotropy grade of the target rock sample is determined according to the anisotropy coefficient.

2. The method according to claim 1, characterized in that The step of obtaining a target rock sample corresponding to the area to be tested includes: Perform vertical drilling in the area to be tested based on a preset sampling interval to obtain at least three core columns to be processed; The target rock sample is obtained by processing the core column to be processed based on preset processing parameters.

3. The method according to claim 1, characterized in that The step of providing a high temperature strain gauge on the target rock sample comprises: Taking the center of the bottom surface of the target rock sample as the origin, a three-dimensional coordinate system corresponding to the target rock sample is established; At least three groups of high-temperature strain gauges are arranged on the target rock sample based on the three-dimensional coordinate system; wherein the high-temperature strain gauges are arranged on the outer wall of the target rock sample by means of adhesives.

4. The method according to claim 1, characterized in that The step of obtaining the rock strain data to be processed corresponding to the target rock sample based on the high temperature strain gauge includes: Acquire an experimental temperature range and a temperature step, and perform a heating experiment on the target rock sample based on the experimental temperature range and the heating step; The deformation data of the target rock sample during the heating experiment is obtained based on the high-temperature strain gauge, and the deformation data is used as the rock strain data to be processed.

5. The method according to claim 1, characterized in that The determining of the anisotropy coefficient corresponding to the target rock sample based on the rock strain data to be processed includes: Determining target strain data corresponding to the target rock sample based on the rock strain data to be processed; A direction cosine value corresponding to the high temperature strain gauge is acquired, and the anisotropy coefficient is determined based on the direction cosine value and the target strain data.

6. The method according to claim 5, characterized in that The determining the anisotropy coefficient based on the direction cosine value and the target strain data comprises: determining a coefficient matrix based on the direction cosine values, and determining a strain equation based on the coefficient matrix and the target strain data; The principal strain value corresponding to the target rock sample is determined according to the strain equation, and the anisotropy coefficient is determined based on the principal strain value.

7. The method according to claim 1, characterized in that Determining the anisotropy level of the target rock sample according to the anisotropy coefficient includes: If the anisotropy coefficient is in the first numerical range, the mechanical anisotropy level of the target rock sample is determined to be the first level; If the anisotropy coefficient is in the second numerical range, the mechanical anisotropy level of the target rock sample is determined to be the second level; If the anisotropy coefficient is in the third numerical range, the mechanical anisotropy level of the target rock sample is determined to be the third level; Among them, the values ​​in the first numerical interval are smaller than the values ​​in the second numerical interval, and the values ​​in the second numerical interval are smaller than the values ​​in the third numerical interval; the third level is better than the second level, and the second level is better than the first level.

8. A device for determining rock anisotropy, characterized in that: include: A sample preprocessing module is used to obtain a target rock sample corresponding to the area to be tested, and to set a high-temperature strain gauge on the target rock sample; A strain data acquisition module, used for acquiring the strain data of the rock to be processed corresponding to the target rock sample based on the high temperature strain gauge; The anisotropy grade determination module is used to determine the anisotropy coefficient corresponding to the target rock sample based on the rock strain data to be processed, and determine the anisotropy grade of the target rock sample according to the anisotropy coefficient.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the method for determining rock anisotropy according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the method for determining rock anisotropy according to any one of claims 1 to 7 when executed by a processor.

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