reviewScienceAug 11, 2022Closed access

Deep-learning seismology

Google (United States) · Stanford University

PubMed
Indexed incrossrefpubmed

Abstract

Seismic waves from earthquakes and other sources are used to infer the structure and properties of Earth's interior. The availability of large-scale seismic datasets and the suitability of deep-learning techniques for seismic data processing have pushed deep learning to the forefront of fundamental, long-standing research investigations in seismology. However, some aspects of applying deep learning to seismology are likely to prove instructive for the geosciences, and perhaps other research areas more broadly. Deep learning is a powerful approach, but there are subtleties and nuances in its application. We present a systematic overview of trends, challenges, and opportunities in applications of deep-learning…

Citation impact

462
total citations
FWCI
56.60
Percentile
100%
References
155
Citations per year

Authors

2

Topics & keywords

Keywords
  • Deep learning
  • Seismology
  • Geology
  • Artificial intelligence
  • Computer science
  • Data science
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