Earthquake Phase Association with Graph Neural Networks. (arXiv:2209.07086v1 [physics.geo-ph])

Seismic phase association connects earthquake arrival time measurements to
their causative sources. Effective association must determine the number of
discrete events, their location and origin times, and it must differentiate
real arrivals from measurement artifacts. The advent of deep learning pickers,
which provide high rates of picks from closely overlapping small magnitude
earthquakes, motivates revisiting the phase association problem and approaching
it using the methods of deep learning. We have developed a Graph Neural Network
associator that simultaneously predicts both …

arxiv earthquake graph graph neural networks networks neural networks physics