Methods, apparatus, electronic devices and storage media for determining rock anisotropy

Abstract

This invention discloses a method, apparatus, electronic device, and storage medium for determining rock anisotropy. The method includes: acquiring a target rock sample corresponding to a test area and setting a high-temperature strain gauge on the target rock sample; acquiring strain data of a rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge; determining an anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed; and determining the anisotropy level of the target rock sample based on the anisotropy coefficient. Based on the above technical solution, by setting a high-temperature strain gauge on the target rock sample and acquiring 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 based on the anisotropy coefficient, the accuracy of determining rock anisotropy is improved.

Description

Technical Field

[0001] This invention relates to the field of rock mechanics testing technology, and in particular to a method, apparatus, electronic device, and storage medium for determining rock anisotropy. Background Technology

[0002] Rock anisotropy is an important indicator for determining rock strength, deformation, self-storage capacity and seepage characteristics. Especially in the field of rock mechanics engineering, different engineering backgrounds have different requirements for the anisotropy of rock materials.

[0003] However, existing methods for determining rock anisotropy rely on microscopic analysis, which overemphasizes the characteristics of rock fracture distribution and neglects the influence of rock material composition on anisotropy. Consequently, existing methods for determining rock anisotropy are not comprehensive. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and storage medium for determining rock anisotropy, in order to solve the problem that existing methods for determining rock anisotropy focus too much on the distribution of rock fractures and cannot comprehensively determine the anisotropy of the rock.

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

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

[0007] Based on the high-temperature strain gauge, obtain the strain data of the rock to be processed corresponding to the target rock sample;

[0008] Based on the strain data of the rock to be processed, an anisotropy coefficient corresponding to the target rock sample is determined, and the anisotropy level of the target rock sample is determined according to the anisotropy coefficient.

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

[0010] The sample pretreatment 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] The strain data acquisition module is used to acquire strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge.

[0012] An anisotropy level determination module is used to determine the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed, and to determine the anisotropy level 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, which enables the at least one processor to perform the rock anisotropy determination method according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the method for determining rock anisotropy according to any embodiment of the present invention.

[0018] The technical solution of this invention involves acquiring a target rock sample corresponding to the area to be tested, setting a high-temperature strain gauge on the target rock sample, acquiring strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge, determining the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed, and determining the anisotropy level of the target rock sample based on the anisotropy coefficient. Based on the above technical solution, by setting a high-temperature strain gauge on the target rock sample and acquiring 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 based on the anisotropy coefficient, the accuracy of determining the anisotropy of the rock is improved.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating a method for determining rock anisotropy provided in an embodiment of the present invention;

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

[0023] Figure 3 This is a flowchart of a method for determining rock anisotropy provided in an embodiment of the present invention;

[0024] Figure 4 This is a structural block diagram of a rock anisotropy determination device provided in an embodiment of the present invention;

[0025] Figure 5 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0026] 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.

[0027] 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.

[0028] Example 1

[0029] Figure 1This is a flowchart illustrating a method for determining rock anisotropy according to an embodiment of the present invention. This embodiment is applicable to situations where strain data of a target rock sample is obtained by using a high-temperature strain gauge placed on the sample, and an anisotropy coefficient corresponding to the rock sample is determined based on the strain data, thereby determining the anisotropy level. This method can be executed by a rock anisotropy determination device, which can be implemented in hardware and / or software. The rock anisotropy determination device can be configured in an electronic device, such as a server or terminal device.

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

[0031] S110. Obtain a target rock sample corresponding to the area to be tested, and set a high-temperature strain gauge on the target rock sample.

[0032] The area to be tested can be a pre-determined geological exploration area where rock anisotropy analysis is required, or it can be an area with specific geological structures. The target rock sample can be understood as a rock sample taken from the area to be tested. The high-temperature strain gauge can be a sensor used to acquire stress data in a high-temperature environment, such as a high-temperature foil strain gauge.

[0033] Specifically, target rock samples corresponding to the area to be tested are obtained, and high-temperature strain gauges are installed on the target rock samples. For example, the area to be tested can be determined from the exploration area based on requirements, and then rock sampling can be carried out in the area to obtain target rock samples, on which high-temperature strain gauges are installed. It should be noted that, in order to ensure that the target rock samples are representative, geological structural data corresponding to the exploration area can be obtained in advance. The area to be tested can be determined based on this geological structural data. For example, the lithology, engineering characteristics, and weathering degree of granite in the exploration area can be obtained to evaluate the quality grade of the surrounding rock.

[0034] Based on the above technical solution, the step of obtaining the target rock sample corresponding to the area to be tested includes: vertical 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 can be a pre-set distance between sample collections. Vertical drilling can be understood as a drilling method that uses vertical drilling tools for vertical operations. The core column to be processed can be an unprocessed core sample obtained from drilling. The preset processing parameters can be understood as pre-set parameters used to process the core column to obtain rock samples.

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

[0037] Based on the above technical solution, the step of setting high-temperature strain gauges on the target rock sample includes: 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 sets of high-temperature strain gauges on the target rock sample based on the three-dimensional coordinate system.

[0038] The center of the base can be the center of the bottom surface of the cylinder. The three-dimensional coordinate system can be a Cartesian coordinate system. High-temperature strain gauges are attached to the outer wall of the target rock sample using an adhesive. The adhesive can be a chemical adhesive used to fix the high-temperature strain gauges, such as a high-temperature adhesive. It should be noted that, to ensure the accuracy of the acquired data, high-temperature strain gauges can be attached to the target rock sample in sets, with each set consisting of at least two high-temperature strain gauges.

[0039] Specifically, a three-dimensional coordinate system is established with the center of the bottom surface of the target rock sample as the origin. Then, at least three sets of high-temperature strain gauges are placed on the target rock sample based on this three-dimensional coordinate system. For example, after establishing the three-dimensional coordinate system, at least three sets 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, y-axis, and z-axis directions. For example, to ensure the comprehensiveness of the experimental data, nine sets of high-temperature strain gauges can also be placed on the target rock sample. Figure 2As shown, number 1 is the target rock sample; number 2 is the first group of high-temperature strain gauges, including strain gauges C1 and C2 parallel to the x-axis; number 3 is the second group of high-temperature strain gauges, including strain gauges C3 and C4 parallel to the y-axis; number 4 is the third group of high-temperature strain gauges, including strain gauges C5 and C6 parallel to the z-axis; number 5 is the fourth group of high-temperature strain gauges, including strain gauges C7 and C8 parallel to the xOy plane and forming a 45° angle with the positive x-axis and y-axis directions; number 6 is the fifth group of high-temperature strain gauges, including strain gauges C9 and C10 parallel to the xOy plane and forming a 45° angle with the positive x-axis and negative y-axis directions; number 7 is the... 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 x-axis and the positive z-axis; group 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 x-axis and the positive z-axis; group 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 y-axis and the positive z-axis; group 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 y-axis and the positive z-axis.

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

[0041] The rock strain data to be processed can be rock strain data directly acquired through high-temperature strain gauges.

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

[0043] Based on the above technical solution, the step of obtaining the strain data of the rock to be treated corresponding to the target rock sample based on the high-temperature strain gauge includes: obtaining the experimental temperature range and temperature step, and conducting a heating experiment on the target rock sample based on the experimental temperature range and the heating step; obtaining the 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 strain data of the rock to be treated.

[0044] The experimental temperature curve can be a pre-set temperature range for high-temperature heating experiments, such as 100℃-250℃. The temperature step can be understood as the temperature change value in each data acquisition. The deformation data can be understood as the deformation of the rock sample during heating.

[0045] Specifically, the experimental temperature range and temperature step size are obtained, and a heating experiment is conducted on the target rock sample based on the experimental temperature range and heating step size. 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 strain data of the rock to be processed. For example, the temperature can be heated from 100℃ to 250℃. High-temperature strain gauges at four different temperatures (100℃, 150℃, 200℃, and 250℃) produce corresponding data changes, thereby recording the strain data under different high-temperature conditions.

[0046] S130. Based on the strain data of the rock to be processed, determine the anisotropy coefficient corresponding to the target rock sample, and determine the anisotropy level 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 a material. The anisotropy level can be understood as information indicating the quality of the mechanical parameters of a rock sample.

[0048] Specifically, after obtaining the strain data of the rock to be treated corresponding to the target rock sample, the anisotropy coefficient corresponding to the target rock sample can be determined based on the strain data, 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 anisotropy, the rock will exhibit non-uniform thermal strain in different directions. Calculating the anisotropy coefficient of the rock using thermal strain data can reflect the mechanical anisotropy of the rock's mechanical characteristics.

[0049] Based on the above technical solution, the step of determining the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed includes: determining the target strain data corresponding to the target rock sample based on the strain data of the rock 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 based on the direction cosine value.

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

[0051] Specifically, based on the strain data of the rock to be processed, target strain data corresponding to the target rock sample is determined, and then the direction cosine value corresponding to the high-temperature strain gauge is obtained. Based on the direction cosine value, the anisotropy coefficient is determined from the target strain data. For example, the target rock sample can be heated from 100°C to 150°C, and the deformation difference data recorded by eighteen high-temperature strain gauges (C1 to C18) can be a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16, a17, and a18. The average deformation of each strain gauge group 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 + a6) / 2, b6 = (a7 + a8) / 2, b7 = (a8 + a9) / 2, b8 = (a9 + a9) / 2, b9 = (a1 + a2 ... 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 target strain data of the direction cosine value.

[0052] Based on the above technical solution, determining the anisotropy coefficient based on the target strain data using the direction cosine value includes: 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 the 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 matrix composed of direction cosine values. The strain equation can be used to solve for the principal strain values. The principal strain values ​​can be understood as the linear strain corresponding to the principal stresses.

[0054] Specifically, a coefficient matrix is ​​determined based on the direction cosine value, and a strain equation is determined based on the coefficient matrix and the target strain data. The principal strain value corresponding to the target rock sample is determined based on the strain equation, and the anisotropy coefficient is determined based on the principal strain value. For example, assuming the core coordinate system is O-xyz, with the z-axis aligned with the radial direction of the core, 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 Let b represent the strain tensor of the rock, where b = [b1, b2, b3, b4, b5, b6, b7, b8, b9]. T The coefficient matrix A represents the average strain value measured by the high-temperature strain gauge, and is composed of direction cosine values. Among them, l i ,m i ,n i The direction cosines of axes a1-a18 relative to the coordinate system O-xyz are shown in Table 1.

[0055] Table 1

[0056]

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

[0058] Then, by using the least squares method to solve the above relationship, the strain equation can be obtained:

[0059] ε 3 -(ε1+ε2+ε3)ε 2 +(ε2ε3+ε3ε1+ε1ε2)ε-ε1ε2ε3=0; where, ε1+ε2+ε3=ε x +ε y +ε z , Solving the above strain equation yields 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 by using the formula ().

[0060] Based on the above technical solution, determining the anisotropy level of the target rock sample according to the anisotropy coefficient includes: if the anisotropy coefficient is in a first numerical range, then the mechanical anisotropy level of the target rock sample is determined to be a first level; if the anisotropy coefficient is in a second numerical range, then the mechanical anisotropy level of the target rock sample is determined to be a second level; if the anisotropy coefficient is in a third numerical range, then the mechanical anisotropy level of the target rock sample is determined to be a third level.

[0061] The mechanical anisotropy level can be understood as a level of data used to evaluate the anisotropy of a rock sample. The values ​​in the first numerical interval are less than the values ​​in the second numerical interval, and the values ​​in the second numerical interval are less than the values ​​in the third numerical interval; the third level is superior to the second level, and the second level is superior to the first level.

[0062] Specifically, if the anisotropy coefficient is within a first numerical range, the mechanical anisotropy level of the target rock sample is determined to be level one; if the anisotropy coefficient is within a second numerical range, the mechanical anisotropy level of the target rock sample is determined to be level two; and if the anisotropy coefficient is within a third numerical range, the mechanical anisotropy level of the target rock sample is determined to be level three. For example, when the anisotropy coefficient is between 1 and 2, the mechanical anisotropy level of the rock sample is considered poor; when the rock anisotropy coefficient is between 2 and 4, the mechanical anisotropy level of the rock sample is determined to be moderate; and when the rock anisotropy coefficient is greater than 4, the mechanical anisotropy level of the rock sample is determined to be good.

[0063] The technical solution of this invention involves acquiring a target rock sample corresponding to the area to be tested, setting a high-temperature strain gauge on the target rock sample, acquiring strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge, determining the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed, and determining the anisotropy level of the target rock sample based on the anisotropy coefficient. Based on the above technical solution, by setting a high-temperature strain gauge on the target rock sample and acquiring 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 based on the anisotropy coefficient, the accuracy of determining the anisotropy of the rock is improved.

[0064] Example 2

[0065] Figure 3This is a flowchart illustrating a method for determining rock anisotropy according to an embodiment of the present invention. This embodiment further optimizes the method for determining rock anisotropy based on the above embodiments. Specific implementation details can be found in the technical solution of this embodiment. Technical terms that are the same as or corresponding to those in the above embodiments will not be repeated here.

[0066] like Figure 3 The method described in this embodiment of the invention includes:

[0067] Obtain target rock samples and set up high-temperature strain gauges: Specifically, select the deep, intact stratum to be tested as the area for drilling and sampling. Vertically drill and core the intact stratum to be tested for evaluating mechanical anisotropy, continuously obtaining 3-5 core columns with a length of 10-20 cm. It is acceptable to obtain 3 consecutive core columns of 10-20 cm in length. The sampling distance between core columns from the same stratum should not exceed 50 cm. The stratum containing these core columns is an intact stratum, not a fractured zone. The sampling interval should not exceed 50 cm to ensure that the sampled core columns come from the same stratum. Process the obtained core columns to obtain a uniform cylindrical rock sample with a diameter of 30-50 mm and a thickness of 50-70 mm. Preferably, the target rock sample is processed into a cylindrical target rock sample with a diameter of 50 mm and a thickness of 60 mm. Eighteen high-temperature strain gauges were arranged in the x, y, and z directions of a cylindrical rock sample. Adhesive was applied to the rock sample and the high-temperature strain gauges to fix the high-temperature strain gauges to the rock sample for monitoring strain data during the heating stage. For example, 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 a 45° angle with the positive x-axis and y-axis directions; strain gauges C9 and C10 are parallel to the xOy plane and form a 45° angle with the positive x-axis and negative y-axis directions; strain gauges C11 and C12 are parallel to the xOz plane and form a 45° angle with the negative x-axis and positive z-axis directions; strain gauges C13 and C14 are parallel to the xOz plane and form a 45° angle with the positive x-axis and positive z-axis directions; strain gauges C15 and C16 are parallel to the yOz plane and form a 45° angle with the negative y-axis and positive z-axis directions; strain gauges C17 and C18 are parallel to the yOz plane and form a 45° angle with the positive y-axis and positive z-axis directions.

[0068] Determine the anisotropy coefficient of the target rock sample: Specifically, a high-temperature heating experiment is conducted on the target rock sample, heating it from 100℃ to 250℃. High-temperature strain gauges at four different temperatures (100℃, 150℃, 200℃, and 250℃) produce corresponding data changes, thus recording the strain data under different high-temperature conditions. It should be noted that the deformation difference data recorded by eighteen high-temperature strain gauges (C1 to C18) when the target rock sample is heated from 100℃ to 150℃ 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 strain gauge group 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 + a6) / 2, b6 = (a7 + a8) / 2, b7 = (a8 + a9) / 2, b8 = (a9 + a9) / 2, b9 = (a1 + a2 ... 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 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 ,ε z ,ε xy ,ε yz ,ε zx ] T Let b represent the strain tensor of the rock, where b = [b1, b2, b3, b4, b5, b6, b7, b8, b9]. T Let A be the average strain value measured by the high-temperature strain gauge. Let A be the coefficient matrix, composed of direction cosine values. The solution is obtained using the least squares method, and the solution process is as follows: A T Aε=A T b, solving for ε, we get: ε=(A T A) -1 A T b, from which the strain component ε=[ε x ,ε y ,ε z ,ε xy ,ε yz ,ε zx ] T The strain component ε can be represented by three principal strains, and the magnitude of the principal strains can be obtained by solving the following system of equations: The specific solution process for the above linear homogeneous equation system is as follows: The determinant expands into a cubic equation in one variable: 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 that the three principal strain values ​​are 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] Determining the rock anisotropy level: Specifically, the anisotropy coefficient K1 of a cylindrical rock sample heated from 100℃ to 150℃ is calculated. From this, the anisotropy coefficients K2 and K3 of rock samples heated from 150℃ to 200℃ and from 200℃ to 250℃ are calculated. Therefore, the anisotropy coefficient of this rock sample can be expressed as K' = (K1 + K2 + K3) / 3, thus evaluating the mechanical anisotropy of the rock. The closer the rock anisotropy coefficient K' is to 1, the worse the mechanical anisotropy level of the rock sample; the larger the rock anisotropy coefficient K' is, the better the mechanical anisotropy of the rock sample. When the anisotropy coefficient is between 1 and 2, the mechanical anisotropy level of the rock sample is considered poor; when the rock anisotropy coefficient is between 2 and 4, the mechanical anisotropy level of the rock sample is considered moderate; when the rock anisotropy coefficient is greater than 4, the mechanical anisotropy level of the rock sample is considered good.

[0070] The technical solution of this invention involves acquiring a target rock sample corresponding to the area to be tested, setting a high-temperature strain gauge on the target rock sample, acquiring strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge, determining the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed, and determining the anisotropy level of the target rock sample based on the anisotropy coefficient. Based on the above technical solution, by setting a high-temperature strain gauge on the target rock sample and acquiring 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 based on the anisotropy coefficient, the accuracy of determining the anisotropy of the rock is improved.

[0071] Example 3

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

[0073] The sample pretreatment module 410 is used to acquire 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] The strain data acquisition module 420 is used to acquire strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge.

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

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

[0077] Based on the above technical solution, the sample pretreatment 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; and to set at least three sets of high-temperature strain gauges 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 by an adhesive.

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

[0079] Based on 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 strain data of the rock to be processed; obtain the direction cosine value corresponding to the high-temperature strain gauge; and determine the anisotropy coefficient based on the direction cosine value and the target strain data.

[0080] Based on the above technical solution, the anisotropy level determination module is used to determine the coefficient matrix based on the direction cosine value, and to determine the strain equation based on the coefficient matrix and the target strain data; to determine the 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] Based on the above technical solution, the anisotropy level determination module is used to determine the mechanical anisotropy level of the target rock sample as a first level if the anisotropy coefficient is in a first numerical range; to determine the mechanical anisotropy level of the target rock sample as a second level if the anisotropy coefficient is in a second numerical range; and to determine the mechanical anisotropy level of the target rock sample as a third level if the anisotropy coefficient is in a third numerical range. Wherein, the value in the first numerical range is less than the value in the second numerical range, and the value in the second numerical range is less than the value in the third numerical range; the third level is superior to the second level, and the second level is superior to the first level.

[0082] The technical solution of this invention involves acquiring a target rock sample corresponding to the area to be tested, setting a high-temperature strain gauge on the target rock sample, acquiring strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge, determining the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed, and determining the anisotropy level of the target rock sample based on the anisotropy coefficient. Based on the above technical solution, by setting a high-temperature strain gauge on the target rock sample and acquiring 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 based on the anisotropy coefficient, the accuracy of determining the anisotropy of the rock is improved.

[0083] The rock anisotropy determination device provided in the embodiments 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 executing the method.

[0084] Example 4

[0085] Figure 5 A schematic diagram of an electronic device 10 that can be used to implement embodiments 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 processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

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

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

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

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

[0090] Various embodiments 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-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0091] Computer programs used to implement 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, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

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

[0093] To provide interaction with a user, the systems and techniques described herein can 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 pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0094] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0095] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0096] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0097] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining the anisotropy of rocks, characterized in that, include: Obtain a target rock sample corresponding to the area to be tested, and set a high-temperature strain gauge on the target rock sample; Based on the high-temperature strain gauge, obtain the strain data of the rock to be processed corresponding to the target rock sample; Based on the strain data of the rock to be processed, an anisotropy coefficient corresponding to the target rock sample is determined, and the anisotropy level of the target rock sample is determined according to the anisotropy coefficient. The determination of the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed includes: Based on the strain data of the rock to be processed, determine the target strain data corresponding to the target rock sample; Obtain the direction cosine value corresponding to the high-temperature strain gauge, and determine the anisotropy coefficient based on the target strain data according to the direction cosine value; Determining the anisotropy coefficient based on the target strain data using the direction cosine value includes: The coefficient matrix is ​​determined based on the direction cosine value, and the strain equation is determined 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; Determining the anisotropy level of the target rock sample based on the anisotropy coefficient includes: If the anisotropy coefficient is within the first numerical range, then the mechanical anisotropy level of the target rock sample is determined to be the first level; If the anisotropy coefficient is within the second numerical range, then 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, then the mechanical anisotropy level of the target rock sample is determined to be the third level. Wherein, the value in the first numerical interval is less than the value in the second numerical interval, and the value in the second numerical interval is less than the value in the third numerical interval; the third level is better than the second level, and the second level is better than the first level.

2. The method according to claim 1, characterized in that, The acquisition of the target rock sample corresponding to the area to be tested includes: Vertical drilling is performed from 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 placing a high-temperature strain gauge on the target rock sample includes: 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; At least three sets 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 by an adhesive.

4. The method according to claim 1, characterized in that, The process of acquiring strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge includes: The experimental temperature range and temperature step size are obtained, and the target rock sample is heated based on the experimental temperature range and temperature step size. 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 strain data of the rock to be processed.

5. A device for determining the anisotropy of rocks, characterized in that, include: The sample pretreatment 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. The strain data acquisition module is used to acquire strain data of the rock to be processed corresponding to the target rock sample based on the high-temperature strain gauge. An anisotropy level determination module is used to determine the anisotropy coefficient corresponding to the target rock sample based on the strain data of the rock to be processed, and to determine the anisotropy level of the target rock sample according to the anisotropy coefficient. The anisotropy level determination module is used to determine the target strain data corresponding to the target rock sample based on the strain data of the rock 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 according to the direction cosine value; The anisotropy level determination module is used to determine the coefficient matrix based on the direction cosine value, and to determine the 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; The anisotropy level determination module is used to determine the mechanical anisotropy level of the target rock sample as a first level if the anisotropy coefficient is in a first numerical range; to determine the mechanical anisotropy level of the target rock sample as a second level if the anisotropy coefficient is in a second numerical range; and to determine the mechanical anisotropy level of the target rock sample as a third level if the anisotropy coefficient is in a third numerical range. The values ​​in the first numerical range are less than the values ​​in the second numerical range, and the values ​​in the second numerical range are less than the values ​​in the third numerical range. The third level is superior to the second level, and the second level is superior to the first level.

6. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method for determining rock anisotropy according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method for determining rock anisotropy according to any one of claims 1-4.

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