Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows
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© 1991-2012 IEEE. Seismic inversion is a fundamental tool in geophysical analysis, providing a window into Earth. In particular, it enables the reconstruction of large-scale subsurface Earth models for hydrocarbon exploration, mining, earthquake analysis, shallow hazard assessment, and other geophysical tasks.
Date issued
2021-03Department
McGovern Institute for Brain Research at MIT; Massachusetts Institute of Technology. Department of Brain and Cognitive SciencesJournal
IEEE Signal Processing Magazine
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Adler, A, Araya-Polo, M and Poggio, T. 2021. "Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows." IEEE Signal Processing Magazine, 38 (2).
Version: Author's final manuscript
ISSN
1053-5888
1558-0792