Detecting P- and S-wave Arrivals with Deep Learning Models
David Kirschner, Royal Dutch Shell, Houston
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.
Published: 22 Nov 2020
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