3D survey geometry corrections and surface velocity mapping via deep learning
Author:
Affiliation:
1. University of Science and Technology of China (USTC)
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2021-3584157.1
Reference9 articles.
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2. Practical Recommendations for Gradient-Based Training of Deep Architectures
3. Rapid high-resolution 3D seismic surface traveltime tomography
4. 3D seismic geometry quality control and corrections by applying machine learning
5. Martin, F. D., 2001, Method of detecting seismic events and for detecting and correcting geometry and statics error in seismic data: U.S. Patent, 6, 208, 587.
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