Study on seismic waveform classification technique for detection of coal seam fracture

Abstract：The principle of seismic waveform classification technique for detection of coal seam fracture was studied.Based on seismic data, geometric shape, frequency, speed of energy change and all kinds of seismic attributes of seismic wave can be counted in time window limits.Thereby the close area of summation of all kinds of seismic attributes character can be ploted at section and peace planes.Then coal seam fracture can be detected after demacation of drill and known frature datum.Through the detection of coal seam fracture in Pansan mine of Huainan mining group company, the results show that seismic waveform classification technique is effective, which offers scientific basis for detection of mine gas danger.

Keyword：coal seam fracture;seismic waveform classification technique;artificial neural network;