MFF net: A multiscale feature fusion network for electromagnetic and seismic joint inversion
Author:
Affiliation:
1. Tsinghua University
Publisher
Society of Exploration Geophysicists and American Association of Petroleum Geologists
Link
https://library.seg.org/doi/pdf/10.1190/image2023-3905968.1
Reference8 articles.
1. Integrated seismic-electromagnetic workflow for sub-basalt exploration in northwest Saudi Arabia
2. Colombo, D., W. Li, D. Rovetta, E. Sandoval-Curiel, E. Turkoglu, 2020, Physics-driven deep learning joint inversion: 90th Annual International Meeting, SEG, Expanded Abstracts, 1775–1779, doi: 10.1190/segam2020-3424997.1.
3. Sun, Y., B. Denel, N. Daril, L. Evano, P. Williamson, M. Araya-Polo, 2020, Deep learning joint inversion of seismic and electromagnetic data for salt reconstruction: 90th Annual International Meeting, SEG, Expanded Abstracts, 550–554, doi: 10.1190/segam2020-3426925.1.
4. Inversion of seismic reflection data in the acoustic approximation
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