Prediction of coal mine roof water damage based on micro-seismic monitoring technology

Abstract

Taking 307 working face of Tingnan Coal Mine as the engineering background, in order to verify the reliability of real-time monitoring of water flowing fractured zone height by micro-seismic monitoring data, the mechanical numerical simulation software is used. In order to analyze the relationship between micro-seismic events and roof water inflow, the mathematical statistics method is used to establish the correlation between them. The results show that the micro-seismic events in 307 working face are concentrated in the areas with serious overburden damage under different driving distances, which can reflect the overburden damage and the development height of the water conducting fracture zone; the numerical simulation results of working face mining are basically consistent with the change rules of micro-seismic monitoring events. The highly developed water conducting fracture zone is characterized by “rapid growth in the early stage, slow growth in the middle stage, and balance in the later stage”. The number of micro-seismic monitoring data events in 307 working face has a significant correlation with the water inflow in the same time period. The occurrence of water inflow events and micro-seismic events has a specific lag effect, and the accuracy of water inflow prediction can be better improved by using appropriate lag micro-seismic data for prediction.

Keywords

• roof water damage
• micro-seismic monitoring data
• water flowing fractured zone
• rock failure characteristics
• water inflow trend prediction