Analysis Method for Mechanism of Mine Seismic Induction in Deep Mining of Metal Mines Based on Observation-Coupled Simulation

Abstract

This invention relates to a method for analyzing the mechanism of mine-induced seismic activity in deep-well mining of metal mines using observation-coupled simulation. The method described in this invention, based on existing data in a comprehensive database of typical metal mining areas, involves conducting detailed observations of the microseismic background field; utilizing a supercomputer, performing thermo-dynamic coupled geodynamic numerical simulations to calculate the spatiotemporal variations of the microseismic background field, obtaining simulated data; comparing the calculated simulated data with the observed data, correcting the simulated data based on the observed data, and iterating repeatedly until the simulated data approximates the observed data before proceeding to the next time step. This method effectively couples observation and simulation, using observed data to constrain the numerical simulation, comparing the simulation results with the observed data, and thus improving the model through repeated iterations, achieving effective coupling between observation and simulation.

Description

Technical Field

[0001] This invention relates to the field of seismic analysis technology for metal mines, and in particular to a method for analyzing the seismic mechanism induced by deep-well mining in metal mines through observation-coupled simulation. Background Technology

[0002] Metallic mineral resources are a crucial material foundation for national economic construction and social development. With the increasing intensity of metallic mining, shallow resources are becoming depleted, and mining is gradually moving towards deeper levels. Mining depths are increasingly approaching the kilometer mark, leading to increasingly severe underground engineering disasters. One significant engineering problem is mine seismic activity induced by deep mining, which seriously restricts safe and efficient mine production. Therefore, precise monitoring of microseismic occurrences in metallic mining areas, analysis of their triggering mechanisms, and effective microseismic monitoring are of significant theoretical and practical importance for disaster prevention and control in metallic mining.

[0003] The causes of mine-induced tremors in deep metal mining are complex and often influenced by the spatiotemporal dynamics of the background field. Therefore, to clarify the mechanism of mine-induced tremors in deep metal mining, a systematic study of observational coupling simulation based on multi-source data fusion of the mining area is necessary. The environment of deep rock formations differs significantly from that of shallow formations. The high stress, high temperature, high karst water pressure, and strong disturbances and aging associated with deep mining constitute a typical "three highs and two strongs" environment. Furthermore, the nonlinear behavior of rock materials becomes more pronounced at depth. However, traditional theories, methods, and observational data applicable to shallow engineering are far from sufficient to explain the mechanism of mine-induced tremors in deep mining. The fundamental mechanism triggering mine-induced tremors in deep mining remains unclear, and relevant research is lacking, especially a comprehensive research method encompassing multi-scale, multi-method, multi-physics field, and measured coupling simulation across the entire mining area. Using typical mining areas as research and application examples, and extending advanced theories and early warning systems to deep mines throughout the province and even the country, is an urgently needed technological innovation.

[0004] Existing research methods, technologies, and observational data are mostly geared towards mine tremors induced by shallow mining and cannot be applied to mine tremors induced by deep mining. In addition, existing research methods are often singular, focusing on either observation or simulation, without effectively coupling observation and simulation. Summary of the Invention

[0005] Based on this, the purpose of this invention is to provide an observation-coupled simulation method for analyzing the mechanism of induced seismic activity in deep mining of metal mines. The observation-coupled simulation method for analyzing the mechanism of induced seismic activity in deep mining of metal mines described in this invention provides a systematic, complete, and theoretically based research method that effectively couples observation and simulation. It uses observation data to constrain numerical simulation, compares simulation results with observation data, and then improves the model through repeated iterations to achieve effective coupling between observation and simulation.

[0006] A method for analyzing the mechanism of mine tremors induced by deep mining in metal mines through observation-coupled simulation includes the following steps:

[0007] Step 1: Select a typical metal mining area as the research prototype and establish a comprehensive database of the typical metal mining area. The comprehensive database includes a distribution database of the plane and profile of the typical metal mining area, a database of real-time recorded seismic events, and a drilling database.

[0008] Step 2: Conduct microseismic background field observations in typical metal mining areas, including the following three aspects:

[0009] (21) Conduct seismic frequency resonance studies in typical metal mining areas to reveal the underground rock mass structure, stratum occurrence and fault distribution, and obtain the latest spatiotemporal distribution of faults and stratum distribution.

[0010] (22) Conduct research on short-period dense seismic arrays in typical metal mining areas to obtain spatiotemporal distribution data of microseisms and velocity data of underground rock masses; establish rock mass velocity models and microseismic precision positioning models to investigate the spatiotemporal occurrence patterns of microseisms induced by deep well mining.

[0011] (23) Conduct real-time measurements of the microseismic background field in typical metal mining areas, establish a background field model for microseismic events induced by deep well mining in typical metal mining areas, obtain the temperature, stress and strain rate fields that affect the incubation and occurrence of microseismic events, and understand the variation law of the microseismic background field.

[0012] Step 3: Using a supercomputer, conduct a thermo-dynamic coupled geodynamic numerical simulation to calculate the spatiotemporal variation of the microseismic background field and obtain simulation data on the spatiotemporal distribution of faults, rock mass velocity, temperature, stress, and strain rate.

[0013] Step 4: Compare the simulated data obtained in Step 3 with the observed data in Step 2. Correct the simulated data based on the observed data, iterate repeatedly until the simulated data approximates the observed data, and then proceed with the calculation of the next time step.

[0014] The observation-coupled simulation method for analyzing the mechanism of mine tremors induced by deep mining in metal mines, as described in this invention, proposes a complete and systematic multi-means coupling research method. This method begins with selecting typical metal mining areas, conducting regional-local Earth observations, revealing the fine structure of deep-shallow underground rock masses, and coupling observation and simulation. By effectively coupling observation and simulation, observational data is used to constrain numerical simulations, and simulation results are compared with observational data to improve the model through iterative iteration. This achieves effective coupling of observation and simulation, enabling a comprehensive and systematic analysis of the mine tremor mechanism induced by deep mining, and simultaneously facilitating effective monitoring and early warning of such tremors.

[0015] This invention uses a coupled simulation method to determine where new fractures occur based on changes in the background field (such as temperature, pressure, velocity, stress, and strain rate). The occurrence of new fractures represents the occurrence of mine tremors, thereby dynamically revealing the physical mechanism controlling mine tremors induced by deep well mining.

[0016] Furthermore, the background field includes the spatiotemporal distribution of the fault, density field, temperature field, pressure field, stress field, and strain rate field.

[0017] Furthermore, the database of fault planar and profile distribution mainly includes the fault's planar and profile extension range, dip angle, width, and distance between faults; the database of real-time recorded seismic events mainly includes earthquake magnitude, depth, latitude and longitude, and time of occurrence; the drilling database mainly includes core columnar sections, structural planes, stress, and strain rate data. The relevant data in the database of step 1 of this invention is used to supplement the observation data of step 2, and can also serve as coupling and comparative simulation data for steps 3 and 4.

[0018] Furthermore, in step 2 (22), the spatiotemporal distribution data of the microseisms includes the occurrence time, magnitude, depth, and latitude and longitude of each microseismic event; the velocity data of the underground rock mass includes the body wave and surface wave velocity data of the seismic waves; the spatiotemporal occurrence pattern of the microseisms induced by deep well mining in the typical metal mining area mainly includes the time period and frequency of the microseismic events, as well as their spatial location.

[0019] Furthermore, in step 2 (21), the seismic frequency resonance research method is used to carry out seismic frequency resonance research in typical metal mining areas to obtain the apparent impedance data of underground rock masses; then, the structure of underground rock masses, the attitude of strata and the horizontal / vertical distribution of faults are inferred to obtain the latest spatiotemporal distribution of faults and the distribution of strata.

[0020] Furthermore, in step 2 (23), the change law of the background field is the dynamic change law of the background field with time and space. This facilitates comparison with the change law of the background field obtained in step 3, and uses observation data to correct the simulation data.

[0021] To better understand and implement this invention, the following detailed description is provided in conjunction with the accompanying drawings. Attached Figure Description

[0022] Figure 1 This is a simplified flowchart of an observation-coupled simulation method for analyzing the mechanism of mine tremors induced by deep mining in metal mines, as per the present invention.

[0023] Figure 2 This is a detailed flowchart illustrating the analytical method for analyzing the mechanism of mine tremors induced by deep mining in metal mines using observation-coupled simulation, as described in this invention.

[0024] Figure 3 This is a flowchart illustrating the process of performing the calculation for the next time step in step 4. Detailed Implementation

[0025] Example 1

[0026] This embodiment uses the Fankou lead-zinc mine in Shaoguan, Guangdong as an example of a metal mine to illustrate in detail the observation-coupled simulation method for analyzing the mechanism of mine tremors induced by deep well mining in metal mines according to the present invention.

[0027] Please see Figure 1 and Figure 2 The observation-coupled simulation method for analyzing the mechanism of mine tremors induced by deep mining in metal mines, as described in this invention, includes the following steps:

[0028] Step 1: Select the Fankou lead-zinc mine in Shaoguan, Guangdong as the research prototype, organize and summarize the existing data of the Fankou lead-zinc mine area, and establish a comprehensive database. The comprehensive database includes: a database of fault plane and profile distribution, a database of real-time recorded seismic events, and a drilling database.

[0029] The database of fault plane and profile distribution mainly includes the extension range of the fault plane and profile, the dip angle and width of the fault, and the distance between faults.

[0030] The real-time earthquake event database mainly includes earthquake magnitude, depth, latitude and longitude, and the time of occurrence.

[0031] The drilling database mainly includes core columnar sections, structural planes, stress, and strain data.

[0032] Step 2: Conduct detailed observations of the microseismic background field, which includes the spatiotemporal distribution of faults, density field, temperature field, pressure field, stress field, and strain rate field; specifically, it includes the following three aspects:

[0033] (21) Using the seismic frequency resonance research method, we carried out high-precision seismic frequency resonance research in the Fankou lead-zinc mine area at the meter scale, obtained the apparent impedance data of the underground rock mass, and then inferred the underground rock mass structure, stratum attitude and horizontal / vertical distribution of faults at the meter scale, and obtained the latest fault spatiotemporal distribution and stratum distribution.

[0034] (22) Using the short-period, dense seismic array detection method, we carried out short-period, dense seismic array research in the Fankou lead-zinc mine area, obtained the temporal-spatial distribution data of microseisms and the velocity data of underground rock masses, and then established the rock mass velocity model and microseismic precise location model in the Fankou lead-zinc mine area to find out the temporal-spatial occurrence law of microseisms induced by deep well mining in the Fankou lead-zinc mine area.

[0035] Among them, the spatiotemporal distribution data of microseisms includes the occurrence time, magnitude, depth, and latitude and longitude of each microseismic event; the velocity data of underground rock masses includes the body wave and surface wave velocity data of seismic waves; the spatiotemporal occurrence patterns of microseisms induced by deep well mining in the Fankou lead-zinc mine area were investigated, mainly including the time period and frequency of microseismic events, as well as their spatial location.

[0036] (23) Using drilling measurement methods, real-time measurement of the microseismic background field of the Fankou lead-zinc mine area was carried out. A background field model of microseismic occurrence induced by deep well mining in the typical Fankou lead-zinc mine area was established. The temperature, stress and strain rate fields that affect the incubation and occurrence of microseisms were obtained, and the changing law of the background field was understood.

[0037] Among them, understanding the changing patterns of the background field mainly involves understanding the dynamic changes of the background field over time and space; this facilitates comparison with the changing patterns of the background field obtained from subsequent simulations, and allows for the correction of simulation data using observational data.

[0038] Step 3: Using the Tianhe-2 supercomputer, conduct a thermo-dynamic coupled geodynamic numerical simulation of the Fankou lead-zinc mining area to calculate the spatiotemporal variation of the microseismic background field and obtain simulation data of the spatiotemporal distribution of faults, rock mass velocity, temperature, stress and strain rate.

[0039] Step 4: Compare the simulated data obtained in Step 3 with the observed data in Step 2. Correct the simulated data based on the observed data, iterate repeatedly until the simulated data approximates the observed data, and then proceed with the calculation of the next time step.

[0040] The simulated data is corrected based on the observed data, and the process is iterated repeatedly until the simulated data approximates the observed data before calculating the next time step. In this invention, the staggered-grid finite-difference method is used to calculate the next time step. Please refer to [link to relevant documentation]. Figure 3 This includes (1) interpolating the physical and rheological parameters of the particle points to the nodes of the interlaced grid; (2) solving the continuity equation and momentum equation; (3) defining the time step of the particle point displacement; (4) calculating the adiabatic heat generation and shear heat generation; (5) defining the time step and solving the temperature equation; (6) interpolating the new temperature value to the particle point; (7) calculating the rheological properties on the particle point; (8) updating the position of the particle point based on the solved velocity field; and returning to step (1) (to calculate the next time step).

[0041] Compared to existing technologies, this invention uses a coupled simulation method to determine where new fractures occur based on changes in the background field (such as temperature, pressure, velocity, density, strain rate, etc.). The appearance of new fractures represents the occurrence of mine tremors, dynamically revealing the physical mechanism controlling mine tremors induced by deep well mining.

[0042] The observation-coupled simulation method for analyzing the mechanism of mine tremors induced by deep mining in metal mines, as described in this invention, proposes a complete and systematic multi-means coupling research method. This method begins with selecting typical metal mining areas, conducting regional-local Earth observations, revealing the fine structure of deep-shallow underground rock masses, and coupling observation and simulation. By effectively coupling observation and simulation, observational data is used to constrain numerical simulations, and simulation results are compared with observational data to improve the model through iterative iteration. This achieves effective coupling of observation and simulation, enabling a comprehensive and systematic analysis of the mine tremor mechanism induced by deep mining, and simultaneously facilitating effective monitoring and early warning of such tremors.

[0043] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and the present invention also intends to include these modifications and variations.

Claims

1. A method for analyzing the mechanism of mine tremors induced by deep mining in metal mines through observation-coupled simulation, characterized in that: Includes the following steps: Step 1: Select a typical metal mining area as the research prototype and establish a comprehensive database of the typical metal mining area. The comprehensive database includes a distribution database of the plane and profile of the typical metal mining area, a database of real-time recorded seismic events, and a drilling database. Step 2: Conduct microseismic background field observations in typical metal mining areas, including the following three aspects: (21) Conduct seismic frequency resonance studies in typical metal mining areas to reveal the underground rock mass structure, stratum occurrence and fault distribution, and obtain the latest spatiotemporal distribution of faults and stratum distribution. (22) Conduct research on short-period dense seismic arrays in typical metal mining areas to obtain spatiotemporal distribution data of microseisms and velocity data of underground rock masses; establish rock mass velocity models and microseismic precision positioning models to investigate the spatiotemporal occurrence patterns of microseisms induced by deep well mining. (23) Conduct real-time measurements of the microseismic background field in typical metal mining areas, establish a background field model for microseismic events induced by deep well mining in typical metal mining areas, obtain the temperature, stress and strain rate fields that affect the incubation and occurrence of microseismic events, and understand the variation law of the microseismic background field. Step 3: Using a supercomputer, conduct a thermo-dynamic coupled geodynamic numerical simulation to calculate the spatiotemporal variation of the microseismic background field and obtain simulation data on the spatiotemporal distribution of faults, rock mass velocity, temperature, stress, and strain rate. Step 4: Compare the simulated data obtained in Step 3 with the observed data in Step 2. Correct the simulated data based on the observed data, iterate repeatedly until the simulated data approximates the observed data, and then proceed with the calculation of the next time step.

2. The method for analyzing the mechanism of mine tremors induced by deep mining in metal mines using observation-coupled simulation as described in claim 1, characterized in that: The microseismic background field includes the spatiotemporal distribution of faults, temperature field, stress field, and strain rate field.

3. The method for analyzing the mechanism of mine tremors induced by deep mining in metal mines using observation-coupled simulation as described in claim 1, characterized in that: The database of fault plane and profile distribution includes the fault plane and profile extension range, fault dip angle, width, and distance between faults; the database of real-time recorded seismic events includes earthquake magnitude, depth, latitude and longitude, and time of occurrence; the drilling database includes core column diagrams, structural planes, stress and strain rate data.

4. The method for analyzing the mechanism of mine tremors induced by deep mining in metal mines using observation-coupled simulation as described in claim 1, characterized in that: In step 2 (21), the seismic frequency resonance research method is used to carry out seismic frequency resonance research in typical metal mining areas and obtain the apparent impedance data of underground rock masses; then, the structure of underground rock masses, the attitude of strata and the horizontal / vertical distribution of faults are inferred, and the latest spatiotemporal distribution of faults and the distribution of strata are obtained.

5. The method for analyzing the mechanism of mine tremors induced by deep mining in metal mines using observation-coupled simulation as described in claim 1, characterized in that: In step 2 (22), the spatiotemporal distribution data of the microseisms includes the occurrence time, magnitude, depth and latitude and longitude of each microseismic event; the velocity data of the underground rock mass includes the body wave and surface wave velocity data of the seismic waves; the spatiotemporal occurrence pattern of the microseisms induced by deep well mining in the typical metal mining area includes the time period and frequency of the microseismic events, as well as the spatial location.

6. The method for analyzing the mechanism of mine tremors induced by deep mining in metal mines using observation-coupled simulation as described in claim 1, characterized in that: In step 2 (23), the change law of the background field is the dynamic change law of the background field with time and space.

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