A Discrimination Method of Mining Fracture Development Characteristics Based on Inversion of Mine Earthquake Swarm Fracture Mechanism

Abstract

The invention discloses a method for discriminating the development characteristics of mining fractures based on the inversion of the fracture mechanism of mine earthquake swarms, which is characterized in that it specifically includes the following steps: S1, determining the target mine earthquake swarm; S2, an inversion function for the source mechanism Calculate the far-field condition of the waveform, and remove the seismic sources that do not meet the far-field condition; S3, calculate the relationship between the number of rays in the mine earthquake swarm and the number of seismic sources; S4, solve the moment tensor component of the target mine earthquake swarm ; S5, identify the fracture type of the mine earthquake swarm; S6, identify the development type of the mining fracture in the target mine earthquake swarm; S7, judge the mining fracture development process and rupture mode around the mining space. The present invention comprehensively utilizes the microseismic monitoring data of the mine earthquake group to complete the moment tensor inversion and the fracture feature identification of mining fissures; in addition, the present invention has clear physical meaning and is suitable for programming to realize intelligence.

Description

technical field [0001] The invention relates to the technical field of rockburst microseismic monitoring, in particular to a mining fracture development feature discrimination method based on the inversion of the mine earthquake group rupture mechanism. Background technique [0002] The development of underground mining fractures generally undergoes a complex mechanical process of fracture initiation caused by stress concentration, further expansion of primary fractures, and penetration of fractures after expansion. Understanding the development process and fracture mechanism of mining fractures is an important basis and prerequisite for the design of working face, support and safety protection design, pressure relief means and parameter selection of working face. [0003] The development of mining fractures accompanied by mining disturbance is a dynamic process, and its variability and randomness make it difficult to observe directly. At the same time, the development of m...

AI Technical Summary

Problems solved by technology

At present, the mainstream methods of microseismic monitoring include source location and energy calculation, shock wave velocity tomography, microseismic frequency density distribution and energy density distribution, A(b) value method, etc. Shock wave velocity tomography technology is based on the longitudinal wave velocity Indirect judgment of the fracture state of coal and rock mass requires a large amount of calculation and poor real-time performance; microseismic frequency density distribution, energy density distribution, and A(b) value method can infer the fracture distribution to a certain extent, but it is difficult to describe it quantitatively Geometric features of fracture surface

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