Machine learning-based residual moveout picking
Author:
Affiliation:
1. Shell International Exploration and Production
2. Shell India Markets Pvt. Ltd.
Publisher
Society of Exploration Geophysicists and American Association of Petroleum Geologists
Link
https://library.seg.org/doi/pdf/10.1190/image2022-3747524.1
Reference11 articles.
1. Nonlinear 3D tomographic least-squares inversion of residual moveout in Kirchhoff prestack-depth-migration common-image gathers
2. Robust estimation of dense 3D stacking velocities from automated picking
3. Building and Understanding Deep Neural Networks Components for Seismic Processing: Lessons Learned
4. Random sample consensus
5. hdbscan: Hierarchical density based clustering
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An Effective Scheme for Residual Moveout Picking Using a Markov Decision Process;IEEE Transactions on Geoscience and Remote Sensing;2023
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