Detecting P- and S-wave Arrivals with Deep Learning Models

An LSTM network was used to automatically pick the arrival times of P- and S-waves. The network picks events accurately and quickly, obviating the need for human intervention. Although the deep learning model was trained to detect small, local earthquakes in an onshore fold-thrust belt, it is effective in picking small earthquakes in other geologic settings and large earthquakes recorded on global seismic networks based on some initial results.