A fast, automated seismic moment tensor inversion approach for mine-induced microseismic data

摘要

Rock failure and seismic activity are often unavoidable phenomena in extensive mining below the surface. The seismicity induced by underground mining is a well known and long studied phenomenon in many parts of the world. It has been recognized that seismicity associated with underground activity is a potentially serious problem in relation to safety and production, and for some time it has been realized that seismic monitoring can be a powerful means of detection and evaluation of this seismicity. Understanding the nature of induced seismicity is of importance because it can provide information on how the rock mass reacts to mining and stress redistribution which, in most cases, can lead to instabilities within the rock mass (e.g., Dehn et al., 2018). A mine-induced microseismic event (magnitude M ≤ 0) typically occurs as a result of rock fracturing or slip along pre-existing features (i.e. joint planes) from instabilities within a rock mass; these instabilities stem from mining activities.