RNN-based seismic velocity model building: Improving generalization using hybrid training data
Author:
Affiliation:
1. Colorado School of Mines
Publisher
Society of Exploration Geophysicists and American Association of Petroleum Geologists
Link
https://library.seg.org/doi/pdf/10.1190/image2022-3747548.1
Reference14 articles.
1. Neural network seismic velocity model building: A frequency-stepping approach
2. Seismic velocity model building using neural networks: Training data design and learning generalization
3. Deep-learning tomography
4. Waveform tomography of marine seismic data: What can limited offset offer?
5. Multiscale seismic waveform inversion
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