Publisher
Society of Exploration Geophysicists and American Association of Petroleum Geologists
Reference6 articles.
1. Automating seismic‐well tie via self‐supervised learning
2. Gal, Y., and Z. Ghahramani, 2016, Dropout as a Bayesian approximation: Representing model uncertainty in deep learning: International Conference on Machine Learning, 1050–1059.
3. Lu, D., J. Gao, D. Chen, H. Chen, and Q. Wang, 2019, Extraction of the seismic wavelet based on deep neural networks: 81st Annual International Conference and Exhibition, EAGE, Extended Abstracts, doi: 10.3997/2214-4609.201901378.
4. Partial automation of the seismic to well tie with deep learning and Bayesian optimization
5. Time-varying wavelet estimation and deconvolution by kurtosis maximization