An Augmented Lagrangian Method-Based Deep Iterative Unrolling Network for Seismic Full-Waveform Inversion
Author:
Affiliation:
1. Information Engineering School, Nanchang University, Nanchang, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10521676.pdf?arnumber=10521676
Reference52 articles.
1. Simultaneous multifrequency inversion of full-waveform seismic data
2. Source‐independent full‐waveform inversion of seismic data
3. The domain of applicability of acoustic full-waveform inversion for marine seismic data
4. Coupled Time‐Lapse Full‐Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation
5. A multi-parameter full waveform inversion strategy for acoustic media with variable density;Yang;Chin. J. Geophys.,2014
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