Label-defect tolerance ability of deep learning inversion networks and its applications
Author:
Affiliation:
1. BGP, CNPC
2. Yangtze University
Publisher
Society of Exploration Geophysicists and American Association of Petroleum Geologists
Link
https://library.seg.org/doi/pdf/10.1190/image2023-3907527.1
Reference4 articles.
1. Optimization-inspired deep learning high-resolution inversion for seismic data
2. Geophysical inversion versus machine learning in inverse problems
3. Machine learning and geophysical inversion — A numerical study
4. Yuqing, W., G. Qiang, L. Wenkai, and Y. Xinfei, 2019, Seismic impedance inversion based on cycle-consistent generative adversarial network: 89th Annual International Meeting, SEG, Expanded Abstracts, 2498–2502, doi: 10.1190/segam2019-3203757.1.
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