Implementation of frequency-dependent fault identification by convolutional neural networks with uncertainty analysis
Author:
Affiliation:
1. Halliburton Landmark
Publisher
Society of Exploration Geophysicists and American Association of Petroleum Geologists
Link
https://library.seg.org/doi/pdf/10.1190/image2022-3737490.1
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3. Jahan , I. J. Castagna , and M. Murphy , 2017 , Fault detection from 3D seismic data and distribution of conjugate faults in the Bakken Formation , URTeC, doi: 10.15530/URTEC-2017-2667987 .
4. Jiang , F. , and P. Norlund , 2020 , Seismic attribute-guided automatic fault prediction by deep learning : 2020 Annual Conference & Exhibition Online, EAGE , Extended Abstracts, 1 – 5 , doi: 10.3997/2214-4609.202010542 .
5. Jiang , F. , and P. Norlund , 2021 , Assisted fault interpretation by multi-scale dilated convolutional neural network , 82nd Annual International Conference and Exhibition, EAGE , Extended Abstracts, 1 – 5 , doi: 10.3997/2214-4609.202112679 .
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