Seismic features and automatic discrimination of deep and shallow induced-microearthquakes using neural network and logistic regression

We develop an automated strategy for discriminating deep microseismic events from shallow ones on the basis of the waveforms recorded on a limited number of surface receivers. Machine-learning techniques are employed to explore the relationship between event hypocentres and seismic features of the recorded signals in time, frequency and time–frequency domains. We applied the technique to 440 micro...