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Proceedings Papers

Channel facies and faults multisegmentation in seismic volumes

Nam Pham, Dallas Dunlap, Sergey Fomel
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3584046
DOI: https://doi.org/10.1190/segam2021-3584046.1
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Physics-constrained deep learning for ground-roll attenuation

Nam Pham, Weichang Li
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583447
DOI: https://doi.org/10.1190/segam2021-3583447.1
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A deep learning framework for seismic facies classification

Harpreet Kaur, Nam Pham, Sergey Fomel, Zhicheng Geng, Luke Decker, Ben Gremillion, Michael Jervis, Ray Abma, Shuang Gao
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583072
DOI: https://doi.org/10.1190/segam2021-3583072.1
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Boundary conditions for acoustic and elastic wave propagation using deep learning

Harpreet Kaur, Sergey Fomel, Nam Pham
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3580865
DOI: https://doi.org/10.1190/segam2021-3580865.1
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Uncertainty estimation using Bayesian convolutional neural network for automatic channel detection

Nam Pham, Sergey Fomel
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427239
DOI: https://doi.org/10.1190/segam2020-3427239.1
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Passive seismic signal denoising using convolutional neural network

Nam Pham, Dmitrii Merzlikin, Sergey Fomel, Yangkang Chen
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427266
DOI: https://doi.org/10.1190/segam2020-3427266.1
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Separating primaries and multiples using hyperbolic Radon transform with deep learning

Harpreet Kaur, Nam Pham, Sergey Fomel
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3419762
DOI: https://doi.org/10.1190/segam2020-3419762.1
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Seismic data interpolation using CycleGAN

Harpreet Kaur, Nam Pham, Sergey Fomel
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3207424
DOI: https://doi.org/10.1190/segam2019-3207424.1
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Overcoming numerical dispersion of finite-difference wave extrapolation using deep learning

Harpreet Kaur, Sergey Fomel, Nam Pham
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3207486
DOI: https://doi.org/10.1190/segam2019-3207486.1
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Building realistic structure models to train convolutional neural networks for seismic structural interpretation

Xinming Wu, Zhicheng Geng, Yunzhi Shi, Nam Pham, Sergey Fomel
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214282
DOI: https://doi.org/10.1190/segam2019-3214282.1
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Elastic wave-mode separation in heterogeneous anisotropic media using deep learning

Harpreet Kaur, Sergey Fomel, Nam Pham
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3207506
DOI: https://doi.org/10.1190/segam2019-3207506.1
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Estimating the inverse Hessian for amplitude correction of migrated images using deep learning

Harpreet Kaur, Nam Pham, Sergey Fomel
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3207296
DOI: https://doi.org/10.1190/segam2019-3207296.1
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Missing sonic log prediction using convolutional long short-term memory

Nam Pham, Xinming Wu
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215375
DOI: https://doi.org/10.1190/segam2019-3215375.1
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Automatic channel detection using deep learning

Nam Pham, Sergey Fomel, Dallas Dunlap
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2991756
DOI: https://doi.org/10.1190/segam2018-2991756.1
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