A method, device, equipment and medium for modifying a water-containing coal body drilling cuttings critical value
By constructing theoretical-moisture content curves and measured-moisture content curves for drill cuttings, and using electromagnetic correction coefficients to correct electromagnetic radiation amplitude, the accuracy problem of monitoring critical values of drill cuttings in high-moisture coal seams was solved, and the reliability of monitoring results was improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENHUA GUONENG ENERGY GRP
- Filing Date
- 2026-03-04
- Publication Date
- 2026-06-30
AI Technical Summary
The reliability of traditional drill cuttings critical value method monitoring results in high water content coal seams is greatly reduced, and it cannot accurately reflect the actual stress state.
By constructing the theoretical value-water content curve and the measured value-water content curve of drill cuttings, the electromagnetic radiation amplitude is corrected by an electromagnetic correction coefficient, and the correction coefficient is calculated to correct the critical value of drill cuttings.
This improves the accuracy of stress monitoring results in high-moisture-content coal seams and accurately reflects the impact of moisture content on the critical value of drill cuttings.
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Figure CN122306609A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of mine disaster monitoring technology, and in particular to a method, device, equipment and medium for correcting the critical value of drill cuttings in water-bearing coal seams. Background Technology
[0002] Rockbursts and rock bursts are major dynamic hazards in both non-coal and coal mines. They are characterized by their suddenness and destructiveness, seriously threatening safe production in mines. The drill cuttings critical value method is a primary technical means for monitoring and early warning of local rock bursts, assessing the degree of stress concentration in coal and rock by analyzing changes in the amount of coal dust generated during drilling.
[0003] However, the physical and mechanical properties of high-moisture-content coal differ significantly from those of ordinary coal. On the one hand, the presence of moisture weakens the coal's strength, making it more prone to breakage under the same stress conditions, potentially leading to an overestimation of the measured coal dust content. On the other hand, the lubricating effect of moisture may alter the transport characteristics of coal dust during drilling, making the coal dust content unable to accurately reflect the actual stress state. Therefore, the traditional drill cuttings critical value method has significant limitations in high-moisture-content coal seams, drastically reducing the reliability of monitoring results. Summary of the Invention
[0004] The purpose of this invention is to provide a method, apparatus, equipment, and medium for correcting the critical value of drill cuttings in water-bearing coal seams, which can correct the critical value of drill cuttings in water-bearing coal seams, thereby improving the reliability of stress monitoring results in high-moisture-content coal seams.
[0005] To achieve the above objectives, embodiments of the present invention provide a method for correcting the critical value of drill cuttings in water-bearing coal seams, comprising: Input the stress-strain curves of coal samples with different moisture contents in the loading experiment; Based on the stress-strain curve, a theoretical value of drill cuttings content versus water content curve is constructed. Input the measured values of drill cuttings volume and the initial value of electromagnetic radiation amplitude in different water content areas at the site; Based on the water content corresponding to the measured value of the drill cuttings, an electromagnetic correction coefficient is selected, and the electromagnetic correction coefficient is used to correct the initial value of the electromagnetic radiation amplitude to obtain the corrected value of the electromagnetic radiation amplitude. Select the drill cuttings quantity-water content pairs with the same electromagnetic radiation amplitude correction value, and construct the drill cuttings quantity-water content curve; Based on the theoretical value of drill cuttings volume versus water content curve and the measured value of drill cuttings volume versus water content curve, correction coefficients are calculated for different water contents to correct the critical value of drill cuttings.
[0006] As an improvement to the above scheme, before selecting the electromagnetic correction coefficient based on the water content of the measured drill cuttings, the following method is further included: Under the same stress, the electromagnetic radiation amplitude of the coal sample with moisture content is divided by the electromagnetic radiation amplitude of the dry coal sample to obtain the electromagnetic correction coefficient for each moisture content. Then, the step of correcting the initial value of the electromagnetic radiation amplitude using the electromagnetic correction coefficient to obtain the corrected electromagnetic radiation amplitude value includes: Divide the initial value of the electromagnetic radiation amplitude by the electromagnetic correction coefficient to obtain the corrected value of the electromagnetic radiation amplitude.
[0007] As an improvement to the above scheme, the initial value of the electromagnetic radiation amplitude is obtained in the following way: When measuring the actual value of the drill cuttings quantity, the electromagnetic radiation signal at the drill cuttings quantity measurement location is monitored simultaneously within a preset time period; Calculate the average value of the electromagnetic radiation signal as the initial value of the electromagnetic radiation amplitude.
[0008] As an improvement to the above scheme, the loading experiment includes a uniaxial loading experiment and a shear loading experiment.
[0009] As an improvement to the above scheme, the step of constructing the theoretical value of drill cuttings content-water cut curve based on the stress-strain curve includes: Based on the stress-strain curves, the mechanical parameters of coal samples with different moisture contents are calculated. Based on the aforementioned mechanical parameters, the theoretical values of drill cuttings quantity for coal samples with different moisture contents are calculated. Based on the theoretical values of drill cuttings volume for coal samples with different moisture contents, a drill cuttings volume-moisture content curve is constructed.
[0010] As an improvement to the above scheme, the mechanical parameters include uniaxial compressive strength, elastic modulus, Poisson's ratio, and internal friction angle. Therefore, the calculation of the theoretical value of drill cuttings quantity for coal samples with different moisture contents based on these mechanical parameters includes: Input the borehole radius, the plastic softening coefficient of the coal body, and the coal body stress before drilling; The radius of the plastic zone is calculated based on the borehole radius, the plastic softening coefficient of the coal body, the stress of the coal body before drilling, the internal friction angle, and the uniaxial compressive strength. Based on the radius of the plastic zone, the Poisson's ratio, the elastic modulus, the uniaxial compressive strength, the internal friction angle, and the stress of the coal body before drilling, calculate the radial displacement at the elastic-plastic interface; The displacement of the coal body in the borehole wall is calculated based on the radial displacement at the elastic-plastic interface, the radius of the plastic zone, the borehole radius, and the coal wall squeezing effect coefficient. The theoretical value of drill cuttings is calculated based on the coal bulk density, the borehole radius, and the displacement of the coal on the borehole wall.
[0011] As an improvement to the above scheme, the step of calculating correction coefficients for different water cuts based on the theoretical value-water cut curve and the measured value-water cut curve includes: Calculate the ratio of the theoretical value of drill cuttings quantity to the measured value of drill cuttings quantity under the same water content, and obtain the initial correction coefficients for different water contents; Based on the initial correction coefficient, several moisture content intervals are divided; wherein the variation range of the initial correction coefficient within each moisture content interval satisfies a preset constraint condition. Within each of the aforementioned moisture content ranges, the maximum value of the initial correction coefficient is selected as the correction coefficient.
[0012] To achieve the above objectives, embodiments of the present invention also provide a critical value correction device for drill cuttings in water-bearing coal seams, comprising: The first data acquisition module is used to input the stress-strain curves of coal samples with different moisture contents during the loading experiment; The first data fitting module is used to construct a theoretical value of drill cuttings content-water content curve based on the stress-strain curve. The second data acquisition module is used to input the measured values of drill cuttings volume and the initial values of electromagnetic radiation amplitude in different water content areas on site. The electromagnetic radiation signal correction module selects an electromagnetic correction coefficient based on the water content corresponding to the measured value of the drill cuttings, and uses the electromagnetic correction coefficient to correct the initial value of the electromagnetic radiation amplitude to obtain the electromagnetic radiation amplitude correction value. The second data fitting module is used to filter the drill cuttings quantity-water content pairs with the same electromagnetic radiation amplitude correction value, and to construct the drill cuttings quantity-water content curve. The correction coefficient calculation module is used to calculate the correction coefficient under different water contents based on the theoretical value of drill cuttings volume-water content curve and the measured value of drill cuttings volume-water content curve, so as to correct the critical value of drill cuttings.
[0013] To achieve the above objectives, embodiments of the present invention also provide a critical value correction device for drill cuttings in water-bearing coal seams, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the critical value correction method for drill cuttings in water-bearing coal seams as described in any of the above embodiments.
[0014] To achieve the above objectives, embodiments of the present invention also provide a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the critical value correction method for water-bearing coal cuttings as described in any of the above embodiments.
[0015] Compared with existing technologies, the present invention provides a method, apparatus, equipment, and medium for correcting the critical value of drill cuttings in water-bearing coal bodies. The method involves inputting stress-strain curves of coal samples with different moisture contents during loading experiments; constructing a theoretical value-moisture content curve based on the stress-strain curves; inputting measured values of drill cuttings volume and initial values of electromagnetic radiation amplitude in different moisture content regions on-site; selecting an electromagnetic correction coefficient based on the moisture content corresponding to the measured value of drill cuttings volume; using the electromagnetic correction coefficient to correct the initial value of electromagnetic radiation amplitude to obtain a corrected value of electromagnetic radiation amplitude; screening drill cuttings volume-moisture content pairs with the same corrected electromagnetic radiation amplitude value and constructing a drill cuttings volume-moisture content curve; and calculating correction coefficients for different moisture contents based on the theoretical value-moisture content curve and the measured value-moisture content curve to correct the critical value of drill cuttings. Compared with existing technologies, the embodiments of the present invention introduce electromagnetic radiation signals as a characterization of stress, which can remove the influence of water under high moisture content, accurately screen the measured values of drill cuttings under the same stress, and thus fit an accurate measured value-moisture content curve. Furthermore, the embodiments of the present invention calculate correction coefficients by using the measured values of drill cuttings in the field, which can more accurately reflect the influence of moisture content on the critical value of drill cuttings under the field environment, thereby accurately correcting the critical value of drill cuttings and improving the accuracy of stress monitoring results in high moisture content coal seams. Attached Figure Description
[0016] Figure 1 This is a flowchart of a method for correcting the critical value of drill cuttings in water-bearing coal seams according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the moisture content-electromagnetic correction coefficient curve obtained by fitting according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the theoretical value of drill cuttings content versus water content curve obtained by fitting an embodiment of the present invention; Figure 4 This is a schematic diagram of the measured value of drill cuttings content versus water content curve obtained by fitting an embodiment of the present invention; Figure 5 This is a schematic diagram of the moisture content-initial correction coefficient curve obtained by fitting according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the structure of a critical value correction device for drill cuttings in water-bearing coal seams according to an embodiment of the present invention; Figure 7 This is a schematic diagram of the structure of a critical value correction device for drill cuttings in water-bearing coal seams provided in an embodiment of the present invention. Detailed Implementation
[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 are within the scope of protection of the present invention.
[0018] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.
[0019] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.
[0020] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.
[0021] It is worth noting that current drill cuttings optimization methods mainly determine the critical value of drill cuttings through drilling experiments in the laboratory. This is mainly achieved by applying surrounding rock and axial pressure to the sample in the laboratory, drilling and extracting coal powder using a drilling rig, and then optimizing the critical value of drill cuttings based on the changes in parameters such as drilling and coal powder extraction, combined with acoustic emission or drill rod parameters.
[0022] However, laboratory drill cuttings experiments often fail to consider the weakening effect of water on the coal body and its binding effect on coal powder, leading to lower results for drill cuttings and coal powder. Furthermore, because the coal occurrence environment in the laboratory differs significantly from that in the field, the results of drill cuttings monitoring and optimization in the laboratory cannot be directly applied to the field. To address these technical problems, this invention provides a method, apparatus, equipment, and medium for correcting the critical value of drill cuttings in water-bearing coal bodies.
[0023] Furthermore, to facilitate understanding of this invention, some technical terms will be explained below.
[0024] Rockburst: A dynamic phenomenon in which the rock mass around a mine shaft or working face is suddenly and violently destroyed due to the instantaneous release of elastic deformation energy. It is often accompanied by phenomena such as coal and rock mass being thrown out, loud noises, and air waves.
[0025] Electromagnetic radiation signal amplitude: The electromagnetic radiation signal generated during the coal and rock fracturing process. The larger the amplitude of the electromagnetic radiation signal, the higher the stress of the coal and rock in that area.
[0026] Drill cuttings: Coal dust that is discharged from the borehole as the drill rod rotates during the drilling process.
[0027] See Figure 1 This is a flowchart of a method for correcting the critical value of drill cuttings in water-bearing coal seams according to an embodiment of the present invention, including steps S1 to S6: S1. Input the stress-strain curves of coal samples with different moisture contents during the loading experiment; S2. Based on the stress-strain curve, construct the theoretical value of drill cuttings content - water content curve; S3. Input the measured values of drill cuttings volume and the initial value of electromagnetic radiation amplitude in different water content areas at the site; S4. Based on the water content corresponding to the measured value of the drill cuttings, select an electromagnetic correction coefficient, and use the electromagnetic correction coefficient to correct the initial value of the electromagnetic radiation amplitude to obtain the corrected value of the electromagnetic radiation amplitude. S5. Select the drill cuttings quantity measured value-water content pairs with the same electromagnetic radiation amplitude correction value, and construct the drill cuttings quantity measured value-water content curve; S6. Based on the theoretical value of drill cuttings volume - water content curve and the measured value of drill cuttings volume - water content curve, calculate the correction coefficients for different water contents to correct the critical value of drill cuttings.
[0028] In step S1, the stress-strain curves of coal samples with different moisture contents during the loading experiment are input. Based on these curves, the mechanical parameters of the coal samples at different moisture contents are obtained. Then, the theoretical values of drill cuttings quantity at each moisture content are calculated based on these mechanical parameters, resulting in a drill cuttings quantity-moisture content curve. It is worth noting that in some embodiments, numerical pairs, such as moisture content-theoretical drill cuttings quantity pairs, can be used directly without curve fitting; this is not a limitation.
[0029] Further, in step S3, the measured values of drill cuttings volume and the initial value of electromagnetic radiation amplitude are collected in different water content areas at the site. In step S4, based on the water content corresponding to the measured values of drill cuttings volume, an electromagnetic correction coefficient is selected, and the initial value of electromagnetic radiation amplitude is corrected using the electromagnetic correction coefficient to obtain the corrected value of electromagnetic radiation amplitude, thereby removing the influence of water on the electromagnetic radiation signal and ensuring the accuracy of subsequent calculation results.
[0030] Furthermore, since the measured values of drill cuttings and water content obtained in step S3 may not correspond to the same stress, in step S5, based on the electromagnetic radiation amplitude correction value, the measured values of drill cuttings and water content measured under the same stress are selected to construct the measured values of drill cuttings and water content curve.
[0031] Finally, in step S6, at each water cut, a correction coefficient is calculated based on the theoretical value and the measured value of the drill cuttings, in order to correct the critical value of the drill cuttings at the corresponding water cut.
[0032] Compared with existing technologies, the embodiments of the present invention introduce electromagnetic radiation signals as a characterization of stress, which can remove the influence of water under high moisture content, accurately screen the measured values of drill cuttings under the same stress, and thus fit an accurate measured value-moisture content curve. Furthermore, the embodiments of the present invention calculate correction coefficients by using the measured values of drill cuttings in the field, which can more accurately reflect the influence of moisture content on the critical value of drill cuttings under the field environment, thereby accurately correcting the critical value of drill cuttings and improving the accuracy of stress monitoring results in high moisture content coal seams.
[0033] As one optional implementation, in step S1, the loading experiment includes a uniaxial loading experiment and a shear loading experiment.
[0034] For example, large coal samples with different moisture contents were selected from a high-moisture-content coal seam mine and transported to a laboratory for processing into standard samples. Uniaxial loading and shear loading experiments were conducted on the coal samples with different moisture contents using a YAW-600 press, simultaneously monitoring the electromagnetic radiation signals and stress and strain data generated during the loading process. Based on the stress-strain curves of the coal samples with different moisture contents throughout the loading process, their uniaxial compressive strength, elastic modulus, Poisson's ratio, and internal friction angle were calculated to obtain theoretical values for drill cuttings volume under different moisture contents. Furthermore, the amplitude of the electromagnetic radiation signal during the loading failure process of the coal samples with different moisture contents was statistically analyzed and compared with the amplitude of the electromagnetic radiation signal of the dry coal sample to obtain the electromagnetic correction coefficient E, which was then fitted to the moisture content. (See also...) Figure 2 This is an electromagnetic correction coefficient-moisture content curve obtained by fitting an embodiment of the present invention, and its mathematical expression is: (1) in, Indicates the electromagnetic correction factor; Represents the natural constant; Indicates moisture content.
[0035] As one optional implementation, in step S2, constructing the theoretical value of drill cuttings content-water cut curve based on the stress-strain curve includes: Based on the stress-strain curves, the mechanical parameters of coal samples with different moisture contents are calculated. Based on the aforementioned mechanical parameters, the theoretical values of drill cuttings quantity for coal samples with different moisture contents are calculated. Based on the theoretical values of drill cuttings volume for coal samples with different moisture contents, a drill cuttings volume-moisture content curve is constructed.
[0036] As one optional implementation, the mechanical parameters include uniaxial compressive strength, elastic modulus, Poisson's ratio, and internal friction angle. Then, the calculation of the theoretical value of drill cuttings quantity for coal samples with different moisture contents based on the mechanical parameters includes: Input the borehole radius, the plastic softening coefficient of the coal body, and the coal body stress before drilling; The radius of the plastic zone is calculated based on the borehole radius, the plastic softening coefficient of the coal body, the stress of the coal body before drilling, the internal friction angle, and the uniaxial compressive strength. Based on the radius of the plastic zone, the Poisson's ratio, the elastic modulus, the uniaxial compressive strength, the internal friction angle, and the stress of the coal body before drilling, calculate the radial displacement at the elastic-plastic interface; The displacement of the coal body in the borehole wall is calculated based on the radial displacement at the elastic-plastic interface, the radius of the plastic zone, the borehole radius, and the coal wall squeezing effect coefficient. The theoretical value of drill cuttings is calculated based on the coal bulk density, the borehole radius, and the displacement of the coal on the borehole wall.
[0037] For example, the radius of the plastic zone of the coal wall in the drill cuttings borehole is calculated by the following formula: (2) in, Indicates the radius of the plastic zone; Indicates the borehole radius; Indicates the plastic softening coefficient of the coal body; This represents the correlation coefficient of internal friction force, and , Indicates internal friction. Represents the sine function; This indicates the stress in the coal seam before drilling; It represents the uniaxial compressive strength of the coal body.
[0038] For example, the radial displacement at the elastoplastic interface of the coal seam in the borehole wall is calculated using the Mohr-Coulomb strength failure criterion, as shown in the following equation: (3) in, Indicates radial displacement at the elastoplastic interface; Poisson's ratio represents the coal body; Indicates the elastic modulus; Indicates the radius of the plastic zone; Indicates the uniaxial compressive strength of the coal body; It means, and , Indicates internal friction. Represents the sine function; This indicates the stress in the coal seam before drilling.
[0039] For example, the displacement of the coal mass at the borehole wall considering the coal wall compression effect is calculated by the following formula: (4) in, Indicates the displacement of the coal seam in the borehole wall; Indicates the radius of the plastic zone; Indicates the borehole radius; Indicates radial displacement at the elastoplastic interface; This represents the coal wall compression effect coefficient, which is generally taken as 1.1~1.2.
[0040] Furthermore, since the mass of drill cuttings during the drilling process is the sum of the mass of coal dust and coal wall compressed into the borehole and discharged, the theoretical value of the amount of drill cuttings per unit distance can be obtained based on the displacement of the coal body on the borehole wall, as shown in the following formula: (5) in, This represents the theoretical value of the amount of drill cuttings. Indicates the bulk density of coal; Represents pi; Indicates the borehole radius; This indicates the displacement of the coal seam in the borehole wall.
[0041] Therefore, the theoretical values of drill cuttings volume for different water contents can be calculated from the mechanical parameters and the above formulas (2) to (5), and the theoretical value of drill cuttings volume with water content can be fitted to obtain the water content curve. See Figure 3 This is a curve of theoretical drill cuttings content versus water cut obtained by fitting data according to an embodiment of the present invention. The mathematical expression is: (6) in, This represents the theoretical value of drill cuttings, with the unit being kg / m (kilogram per meter). Moisture content is expressed in percentages (%).
[0042] Furthermore, several drill cuttings holes were arranged in areas with different moisture contents at the mine site to collect measured values of drill cuttings volume; at the same time, electromagnetic radiation signals were monitored at the drill cuttings volume measurement locations using drill electromagnetic radiation equipment.
[0043] It is understandable that when constructing the theoretical value-water content curve and the measured value-water content curve of drill cuttings, it is necessary to ensure that the stress is the same. Specifically, after the tunnel is excavated, there are decompression zone, pressure-increasing zone and original rock stress zone in the surrounding rock. The electromagnetic radiation value of the pressure-increasing zone is larger, the electromagnetic radiation value of the decompression zone is smaller, and the stress value of the original rock stress zone is between the two. Therefore, the average value of electromagnetic radiation value at different hole depths can represent the stress value of the original rock stress zone in that area. Therefore, in this embodiment of the invention, the average value of a large number of electromagnetic radiation amplitudes measured on site is used to represent the stress value of the area that is not affected by mining. This stress value is the same as the stress value when calculating the theoretical value of drill cuttings.
[0044] As one optional implementation, the initial value of the electromagnetic radiation amplitude is obtained in the following manner: When measuring the actual value of the drill cuttings quantity, the electromagnetic radiation signal at the drill cuttings quantity measurement location is monitored simultaneously within a preset time period; Calculate the average value of the electromagnetic radiation signal as the initial value of the electromagnetic radiation amplitude.
[0045] For example, to ensure the accuracy of the results, a preset time period of 1 minute is set, and the average value of the electromagnetic radiation signal amplitude within this time period is used as the initial value of the electromagnetic radiation amplitude at the measurement location.
[0046] As one optional implementation, before selecting the electromagnetic correction coefficient based on the water content of the measured drill cuttings, the method further includes: Under the same stress, the electromagnetic radiation amplitude of the coal sample with moisture content is divided by the electromagnetic radiation amplitude of the dry coal sample to obtain the electromagnetic correction coefficient for each moisture content. Then, the step of correcting the initial value of the electromagnetic radiation amplitude using the electromagnetic correction coefficient to obtain the corrected electromagnetic radiation amplitude value includes: Divide the initial value of the electromagnetic radiation amplitude by the electromagnetic correction coefficient to obtain the corrected value of the electromagnetic radiation amplitude.
[0047] It is worth noting that, in order to eliminate the influence of water on the electromagnetic radiation amplitude, this invention uses an electromagnetic correction coefficient to correct the initial value of the electromagnetic radiation amplitude. In this embodiment, the electromagnetic correction coefficient is the ratio of the electromagnetic radiation amplitude of the water-containing coal sample to the electromagnetic radiation amplitude of the dry coal sample. Accordingly, the electromagnetic radiation amplitude correction value is calculated by the following formula: (7) in, This indicates the correction value for electromagnetic radiation amplitude; This represents the initial value of the electromagnetic radiation amplitude; This represents the electromagnetic correction factor.
[0048] For example, in other embodiments, the electromagnetic correction coefficient can also be calculated in other ways. For instance, the electromagnetic correction coefficient can be the difference between the electromagnetic radiation amplitude of the moist coal sample and the electromagnetic radiation amplitude of the dry coal sample. Accordingly, the electromagnetic radiation amplitude correction value is the difference between the initial value of the electromagnetic radiation amplitude and the electromagnetic correction coefficient. The specific calculation method of the electromagnetic correction coefficient is not limited here.
[0049] It is worth noting that establishing the relationship between water cut and drill cuttings quantity requires ensuring the same stress. Since electromagnetic radiation and stress are directly proportional, in step S5, the same electromagnetic radiation amplitude correction value is used to characterize the same stress, thus screening the measured drill cuttings quantity-water cut pair to construct the measured drill cuttings quantity-water cut curve. See [link to relevant documentation]. Figure 4 This is a curve of measured drill cuttings content versus water content obtained by fitting data from an embodiment of the present invention. The mathematical expression is:
[0050] in, This represents the measured value of drill cuttings, in kg / m. Moisture content is expressed in percentages (%).
[0051] As one optional implementation, in step S6, calculating the correction coefficient for different water cuts based on the theoretical value-water cut curve and the measured value-water cut curve includes: Calculate the ratio of the theoretical value of drill cuttings quantity to the measured value of drill cuttings quantity under the same water content, and obtain the initial correction coefficients for different water contents; Based on the initial correction coefficient, several moisture content intervals are divided; wherein the variation range of the initial correction coefficient within each moisture content interval satisfies a preset constraint condition. Within each of the aforementioned moisture content ranges, the maximum value of the initial correction coefficient is selected as the correction coefficient.
[0052] For example, within the measured water cut distribution range of high water cut mines, the differences between the theoretical and measured values of drill cuttings volume at each water cut are compared and analyzed to calculate correction coefficients. For example, the ratio of the theoretical to the measured drill cuttings volume at each water cut can be calculated as the initial correction coefficient. See also... Figure 5This is a moisture content-initial correction coefficient curve obtained by fitting data in one embodiment of the present invention. It is worth noting that, since the change in the initial correction coefficient between adjacent moisture contents may not be significant, for ease of practical application, in this embodiment of the present invention, adjacent moisture contents with no significant difference in the initial correction coefficient are divided into a moisture content interval. Within each moisture content interval, the maximum value of the initial correction coefficient is used as the correction coefficient for that interval, as shown in Table 1. , and Indicates different moisture contents, ~ This represents the correction factor for each water cut range. Furthermore, when the correction factor is greater than 2 (i.e., the theoretical value of drill cuttings differs from the measured value by a factor of two), the corresponding water cut is defined as the failure water cut. Table 1 Correction coefficients for different moisture content ranges
[0053] Furthermore, in practical applications, the critical value of drill cuttings can be corrected by selecting a correction factor within the water content range of the water content range.
[0054] Therefore, according to GB / T 25217.6-2019 "Methods for Measurement, Monitoring and Prevention of Rockburst - Part 6: Methods for Monitoring Drill Cuttings", the results of the drill cuttings rate index for rockburst risk in the demonstration mine are shown in Table 2: Table 2 Results of Drilling Dust Rate Indicators for Impact Risk in Demonstration Mines
[0055] Furthermore, the critical value of drill cuttings differs for different borehole depths of the same borehole, mainly determined by the ratio of borehole depth to roadway height (the borehole depth-to-roadway height ratio in the table). The critical value of drill cuttings = drill cuttings value for that borehole depth × drill powder rate index for that borehole depth. Therefore, after obtaining the drill cuttings value and water content for the corresponding borehole depth through field measurement, the critical value of drill cuttings for that borehole depth can be obtained by comparing the drill cuttings value for that borehole depth with the corresponding corrected drill powder rate index.
[0056] Compared with existing technologies, the method for correcting the critical value of drill cuttings in water-bearing coal bodies according to embodiments of the present invention involves: inputting stress-strain curves of coal samples with different moisture contents during loading experiments; constructing a theoretical value-moisture content curve based on the stress-strain curves; inputting measured values of drill cuttings content and initial values of electromagnetic radiation amplitude in different moisture content regions on site; selecting an electromagnetic correction coefficient based on the moisture content corresponding to the measured value of drill cuttings content, and using the electromagnetic correction coefficient to correct the initial value of electromagnetic radiation amplitude to obtain a corrected value of electromagnetic radiation amplitude; screening drill cuttings content-moisture content pairs with the same corrected value of electromagnetic radiation amplitude, and constructing a measured value-moisture content curve; and calculating correction coefficients for different moisture contents based on the theoretical value-moisture content curve and the measured value-moisture content curve to correct the critical value of drill cuttings. Compared with existing technologies, the embodiments of the present invention introduce electromagnetic radiation signals as a characterization of stress, which can remove the influence of water under high moisture content, accurately screen the measured values of drill cuttings under the same stress, and thus fit an accurate measured value-moisture content curve. Furthermore, the embodiments of the present invention calculate correction coefficients by using the measured values of drill cuttings in the field, which can more accurately reflect the influence of moisture content on the critical value of drill cuttings under the field environment, thereby accurately correcting the critical value of drill cuttings and improving the accuracy of stress monitoring results in high moisture content coal seams.
[0057] See Figure 6 This invention also provides a critical value correction device 10 for drill cuttings in water-bearing coal seams, comprising: The first data acquisition module 11 is used to input the stress-strain curves of coal samples with different moisture contents in the loading experiment; The first data fitting module 12 is used to construct a theoretical value of drill cuttings content-water content curve based on the stress-strain curve. The second data acquisition module 13 is used to input the measured values of drill cuttings volume and the initial values of electromagnetic radiation amplitude in different water content areas on site. The electromagnetic radiation signal correction module 14 is used to select an electromagnetic correction coefficient based on the water content corresponding to the measured value of the drill cuttings, and use the electromagnetic correction coefficient to correct the initial value of the electromagnetic radiation amplitude to obtain the electromagnetic radiation amplitude correction value. The second data fitting module 15 is used to filter the drill cuttings quantity measured value-water content pairs with the same electromagnetic radiation amplitude correction value, and to construct the drill cuttings quantity measured value-water content curve. The correction coefficient calculation module 16 is used to calculate the correction coefficient under different water contents based on the theoretical value of drill cuttings - water content curve and the measured value of drill cuttings - water content curve, so as to correct the critical value of drill cuttings.
[0058] The critical value correction device for water-bearing coal cuttings provided in this embodiment of the invention can realize all the process steps of the critical value correction method for water-bearing coal cuttings described in the above embodiment. The functions and technical effects of each module and unit in the device are the same as the functions and technical effects of the critical value correction method for water-bearing coal cuttings described in the above embodiment. The specific implementation method is not described here.
[0059] See Figure 7 This invention also provides a water-bearing coal seam drill cuttings critical value correction device 20, including a processor 21, a memory 22, and a computer program stored in the memory 22 and configured to be executed by the processor 21. When the processor 21 executes the computer program, it implements the steps as described in the above-described water-bearing coal seam drill cuttings critical value correction method embodiment, for example... Figure 1 The steps S1 to S6 described above; or, when the processor 21 executes the computer program, it implements the functions of each module in the above-described device embodiments.
[0060] The critical value correction device for water-bearing coal cuttings can be a desktop computer, laptop, handheld computer, or cloud server, etc. The critical value correction device for water-bearing coal cuttings may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the schematic diagram is merely an example of a critical value correction device for water-bearing coal cuttings and does not constitute a limitation on the device. It may include more or fewer components than illustrated, or combine certain components, or use different components. For example, the critical value correction device for water-bearing coal cuttings may also include input / output devices, network access devices, buses, etc.
[0061] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the water-bearing coal seam drill cuttings critical value correction device, connecting all parts of the device via various interfaces and lines.
[0062] The memory can be used to store the computer program and / or modules. The processor implements various functions of the water-bearing coal seam drill cuttings critical value correction device by running or executing the computer program and / or modules stored in the memory and calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function, etc.; the data storage area may store data created according to the use of the controller, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.
[0063] The module integrated into the water-bearing coal seam drill cuttings critical value correction device, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.
[0064] Compared with the prior art, the drilling cuttings critical value correction device, equipment and medium of the present invention for water-bearing coal bodies inputs the stress-strain curves of coal samples with different moisture contents in the loading experiment; based on the stress-strain curves, a theoretical value of drilling cuttings volume-moisture content curve is constructed; the measured values of drilling cuttings volume and the initial values of electromagnetic radiation amplitude in different moisture content areas are input; according to the moisture content corresponding to the measured value of drilling cuttings volume, an electromagnetic correction coefficient is selected, and the electromagnetic correction coefficient is used to correct the initial value of electromagnetic radiation amplitude to obtain the electromagnetic radiation amplitude correction value; pairs of measured values of drilling cuttings volume and moisture content with the same electromagnetic radiation amplitude correction value are screened, and a measured value of drilling cuttings volume-moisture content curve is constructed; based on the theoretical value of drilling cuttings volume-moisture content curve and the measured value of drilling cuttings volume-moisture content curve, correction coefficients at different moisture contents are calculated to correct the critical value of drilling cuttings. Compared with existing technologies, the embodiments of the present invention introduce electromagnetic radiation signals as a characterization of stress, which can remove the influence of water under high moisture content, accurately screen the measured values of drill cuttings under the same stress, and thus fit an accurate measured value-moisture content curve. Furthermore, the embodiments of the present invention calculate correction coefficients by using the measured values of drill cuttings in the field, which can more accurately reflect the influence of moisture content on the critical value of drill cuttings under the field environment, thereby accurately correcting the critical value of drill cuttings and improving the accuracy of stress monitoring results in high moisture content coal seams.
[0065] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.
Claims
1. A method for correcting the critical value of drill cuttings in water-bearing coal seams, characterized in that, The method comprises the following steps: inputting stress-strain curves of coal samples with different water contents in a loading experiment; constructing a theoretical value of drilling cuttings quantity-water content curve based on the stress-strain curves; inputting measured values of drilling cuttings quantity and initial values of electromagnetic radiation amplitude of different water content regions in the field; selecting an electromagnetic correction coefficient according to the water content corresponding to the measured value of drilling cuttings quantity, and correcting the initial value of electromagnetic radiation amplitude by using the electromagnetic correction coefficient to obtain a corrected value of electromagnetic radiation amplitude; screening the measured value of drilling cuttings quantity-water content pairs with the same corrected value of electromagnetic radiation amplitude, and constructing a measured value of drilling cuttings quantity-water content curve; calculating correction coefficients under different water contents based on the theoretical value of drilling cuttings quantity-water content curve and the measured value of drilling cuttings quantity-water content curve, so as to correct the critical value of drilling cuttings.
2. The aqueous coal cuttings bankfull value modification method of claim 1 wherein, Before the step of selecting an electromagnetic correction coefficient according to the water content corresponding to the measured value of drilling cuttings quantity, the method further comprises the following steps: dividing the electromagnetic radiation amplitude of the coal sample with water content by the electromagnetic radiation amplitude of the dry coal sample under the same stress to obtain the electromagnetic correction coefficient under each water content; then, the step of correcting the initial value of electromagnetic radiation amplitude by using the electromagnetic correction coefficient to obtain a corrected value of electromagnetic radiation amplitude comprises the following step: dividing the initial value of electromagnetic radiation amplitude by the electromagnetic correction coefficient to obtain the corrected value of electromagnetic radiation amplitude.
3. The method of modifying the water cut of a coal cuttings sample according to claim 1, wherein, The initial value of electromagnetic radiation amplitude is obtained by the following method: synchronously monitoring the electromagnetic radiation signal of the drilling cuttings quantity measurement position within a preset time period when measuring the measured value of drilling cuttings quantity; calculating the average value of the electromagnetic radiation signal as the initial value of electromagnetic radiation amplitude.
4. The method of modifying the water cut of a coal cuttings sample of claim 1, wherein, The loading experiment comprises a uniaxial loading experiment and a shear loading experiment.
5. The method of modifying the water cut of a coal formation drilling cuttings of claim 1 wherein, The step of constructing a theoretical value of drilling cuttings quantity-water content curve based on the stress-strain curves comprises the following steps: calculating mechanical parameters of coal samples with different water contents based on the stress-strain curves; calculating theoretical values of drilling cuttings quantity of coal samples with different water contents based on the mechanical parameters; constructing a theoretical value of drilling cuttings quantity-water content curve based on the theoretical values of drilling cuttings quantity of coal samples with different water contents.
6. The method of modifying the water cut of a coal formation drilling cuttings of claim 5, wherein, The mechanical parameters comprise uniaxial compressive strength, elastic modulus, Poisson's ratio and internal friction angle, and the step of calculating theoretical values of drilling cuttings quantity of coal samples with different water contents based on the mechanical parameters comprises the following steps: inputting a drilling radius, a coal body plastic softening coefficient and a coal body stress before drilling; calculating a plastic zone radius based on the drilling radius, the coal body plastic softening coefficient, the coal body stress before drilling, the internal friction angle and the uniaxial compressive strength; calculating an elastic-plastic interface radial displacement based on the plastic zone radius, the Poisson's ratio, the elastic modulus, the uniaxial compressive strength, the internal friction angle and the coal body stress before drilling; calculating a hole wall coal body displacement based on the elastic-plastic interface radial displacement, the plastic zone radius, the drilling radius and a coal wall extrusion effect coefficient; calculating a theoretical value of drilling cuttings quantity based on the coal body bulk density, the drilling radius and the hole wall coal body displacement.
7. The method of modifying the water cut of a coal formation drilling cuttings of claim 1 wherein, The step of calculating correction coefficients under different water contents based on the theoretical value of drilling cuttings quantity-water content curve comprises the following steps: Calculate the ratio of the theoretical value of drill cuttings quantity to the measured value of drill cuttings quantity under the same water content, and obtain the initial correction coefficients for different water contents; Based on the initial correction coefficient, several moisture content intervals are divided; wherein the variation range of the initial correction coefficient within each moisture content interval satisfies a preset constraint condition. Within each of the aforementioned moisture content ranges, the maximum value of the initial correction coefficient is selected as the correction coefficient.
8. An aqueous coal body drillings cut-point modifier apparatus characterized by, include: The first data acquisition module is used to input the stress-strain curves of coal samples with different moisture contents during the loading experiment; The first data fitting module is used to construct a theoretical value of drill cuttings content-water content curve based on the stress-strain curve. The second data acquisition module is used to input the measured values of drill cuttings volume and the initial values of electromagnetic radiation amplitude in different water content areas on site. The electromagnetic radiation signal correction module is used to select an electromagnetic correction coefficient based on the water content corresponding to the measured value of the drill cuttings, and use the electromagnetic correction coefficient to correct the initial value of the electromagnetic radiation amplitude to obtain the electromagnetic radiation amplitude correction value. The second data fitting module is used to filter the drill cuttings quantity-water content pairs with the same electromagnetic radiation amplitude correction value, and to construct the drill cuttings quantity-water content curve. The correction coefficient calculation module is used to calculate the correction coefficient under different water contents based on the theoretical value of drill cuttings volume-water content curve and the measured value of drill cuttings volume-water content curve, so as to correct the critical value of drill cuttings.
9. An aqueous coal body drillings cut-point correction device characterized by, The method includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the critical value correction method for drill cuttings in water-bearing coal seams as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device containing the computer-readable storage medium to perform the critical value correction method for water-bearing coal cuttings as described in any one of claims 1 to 7.