Principal components analysis of spectral components

Author:

Guo Hao1,Marfurt Kurt J.1,Liu Jianlei1,Dou Qifeng1

Affiliation:

1. Allied Geophysical Lab, University of Houston, Houston, TX, 77024

Publisher

Society of Exploration Geophysicists

Cited by 11 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. A Home for Principal Component Analysis (PCA) as part of a Multi-Agent Safety System (MASS) for Human-Robot Collaboration (HRC) within the Industry 5.0 Enterprise Architecture (EA);2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2022-10-09

2. A deep-learning method for latent space analysis of multiple seismic attributes;Interpretation;2021-08-01

3. Unsupervised learning technique reveals hydrocarbon potential zone on the Penobscot;SEG 2018 Workshop: SEG Maximizing Asset Value Through Artificial Intelligence and Machine Learning, Beijing, China, 17–19 September 2018;2018-12-14

4. Seismic attribute integration with production data by RGB fusion;SEG Technical Program Expanded Abstracts 2018;2018-08-27

5. Integrating phase into the visualization of spectral decomposition attributes;Interpretation;2015-08-01

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