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

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

© 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 geophys...

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Main Authors: Adler, Amir (Author), Araya-Polo, Mauricio (Author), Poggio, Tomaso (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2022-03-21T13:20:58Z.
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Online Access:Get fulltext
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520 |a © 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. 
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