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Frontiers in Earth Science
(Jul 2023)
Editorial: Geophysical inversion and interpretation based on new generation artificial intelligence
Junxing Cao,
Junxing Cao,
Michael Zhdanov,
Shaohuan Zu,
Shaohuan Zu,
Hua Wang,
Jian Sun
Affiliations
Junxing Cao
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China
Junxing Cao
College of Geophysics, Chengdu University of Technology, Chengdu, Sichuan, China
Michael Zhdanov
Consortium for Electromagnetic Modeling and Inversion, University of Utah, Salt Lake City, UT, United States
Shaohuan Zu
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China
Shaohuan Zu
College of Geophysics, Chengdu University of Technology, Chengdu, Sichuan, China
Hua Wang
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China
Jian Sun
College of Marine Geoscience, Ocean University of China, Qingdao, China
DOI
https://doi.org/10.3389/feart.2023.1252072
Journal volume & issue
Vol. 11
Abstract
Read online
No abstracts available.
Keywords
artificial intelligence
geophysical inversion
geophysical interpretation
nonlinear mapping
classification problem
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