Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows

TitleDeep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows
Publication TypeJournal Article
Year of Publication2021
AuthorsAdler, A, Araya-Polo, M, Poggio, T
JournalIEEE Signal Processing Magazine
Volume38
Issue2
Pagination89 - 119
Date Published03/2021
ISSN1053-5888
Abstract

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.
URLhttps://ieeexplore.ieee.org/abstract/document/9363496
DOI10.1109/MSP.2020.3037429
Short TitleIEEE Signal Process. Mag.

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