From 3D seismic atrributes to pseudo-well-log volumes using neural networks: Practical considerations
Author:
Publisher
Society of Exploration Geophysicists
Subject
Geology,Geophysics
Link
https://library.seg.org/doi/pdf/10.1190/1.1518436
Cited by 22 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. Generating 3D Lithology Probability Volumes Using Poststack Inversion, Probabilistic Neural Networks, and Bayesian Classification A Case Study from the Mixed Carbonate Siliciclastic Deposits of the Cisco Group of the Eastern Shelf of the Permian Basin, North - Central Texas;GEOPHYSICS;2023-11-22
2. Joint learning for spatial context-based seismic inversion of multiple data sets for improved generalizability and robustness;GEOPHYSICS;2021-07-01
3. Connectionist and mutual information tools to determine water saturation and rank input log variables;Journal of Petroleum Science and Engineering;2020-07
4. Application of seismic sedimentology in predicating sedimentary microfacies and coalbed methane gas content;Journal of Natural Gas Science and Engineering;2019-09
5. Data driven model for sonic well log prediction;Journal of Petroleum Science and Engineering;2018-11
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