Prediction method of coal burst risk based on focal mechanism and location error calibration

Under the background of the rapid development of intelligent coal burst monitoring technology, how to use massive seismic monitoring information to investigate source rupture and apply it to the prediction, early warning, or prevention of coal burst is the focus and difficulty of future research. To solve the problems of insufficient investigation of seismic clustering fracture mechanism aggregation law and overcome the difficulty of direct application of seismic source mechanism inversion technology to the prediction and early warning of coal burst, the theoretical analysis and numerical simulation methods are used to establish a prediction method of coal burst risk based on seismic source mechanism and location error calibration. Taking the 2215 working face with frequent high magnitude seismic events in a coal burst mine in Inner Mongolia as an example, this paper summarizes the characteristics of the limited number of seismic waves, large noise impact, and high inversion efficiency. Also, it compares and