Waveform classification method based on strong background interference separated
Author:
Affiliation:
1. Xi’an Jiaotong University, and National Engineering Laboratory for Offshore Oil Exploration, Xi’an, China
2. Daqing Oilfield Company Ltd., Daqing, China
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2019-3215301.1
Reference10 articles.
1. Dramsch, J. S., and M. Lüthje, 2018, Deep-learning seismic facies on state-of-the-art CNN architectures: 88th Annual International Meeting, SEG, Expanded Abstracts, 2036–2040, doi: 10.1190/segam2018-2996783.1.
2. Volume texture extraction for 3D seismic visualization and interpretation
3. Self-organized formation of topologically correct feature maps
4. Generative topographic mapping for seismic facies estimation of a carbonate wash, Veracruz Basin, southern Mexico
5. A Nonlinear Mapping for Data Structure Analysis
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1. Detection of hidden reservoirs under strong shielding based on bi‐dimensional empirical mode decomposition and the Teager–Kaiser operator;Geophysical Prospecting;2021-04-23
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