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Proceedings Papers

Shaping regularization by fast explicit diffusion

Sergey Fomel
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751764
DOI: https://doi.org/10.1190/image2022-3751764.1
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View Paper titled, Shaping regularization by fast explicit diffusion
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Proceedings Papers

Automated hyper-parameter optimization for deep learning framework to simulate boundary conditions for wave propagation

Harpreet Kaur, Sergey Fomel, Nam Pham
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3743090
DOI: https://doi.org/10.1190/image2022-3743090.1
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View Paper titled, Automated hyper-parameter optimization for deep learning framework to simulate boundary conditions for wave propagation
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Proceedings Papers

Operator chains and seismic data decomposition

Sergey Fomel
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751656
DOI: https://doi.org/10.1190/image2022-3751656.1
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View Paper titled, Operator chains and seismic data decomposition
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Proceedings Papers

Least-squares non-stationary triangle smoothing

Reem F. Alomar, Sergey Fomel
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751694
DOI: https://doi.org/10.1190/image2022-3751694.1
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View Paper titled, Least-squares non-stationary triangle smoothing
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Proceedings Papers

Shortest-path multiple well-log correlation

Hector Corzo-Pola, Sergey Fomel
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751452
DOI: https://doi.org/10.1190/image2022-3751452.1
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View Paper titled, Shortest-path multiple well-log correlation
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Proceedings Papers

Seismic data augmentation for automatic faults picking using deep learning

Nam Pham, Sergey Fomel
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745790
DOI: https://doi.org/10.1190/image2022-3745790.1
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View Paper titled, Seismic data augmentation for automatic faults picking using deep learning
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Proceedings Papers

Automatic detection of SEG-Y sampling format errors using machine learning

Sahana Vinayak, Ray Abma, Sergey Fomel
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745795
DOI: https://doi.org/10.1190/image2022-3745795.1
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View Paper titled, Automatic detection of SEG-Y sampling format errors using machine learning
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Proceedings Papers

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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View Paper titled, A deep learning framework for seismic facies classification
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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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View Paper titled, Channel facies and faults multisegmentation in seismic volumes
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Proceedings Papers

Streaming seismic attributes

Zhicheng Geng, Sergey Fomel, Yang Liu, Qinghan Wang, Zhisheng Zheng, Yangkang Chen
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594814
DOI: https://doi.org/10.1190/segam2021-3594814.1
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View Paper titled, Streaming seismic attributes
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Proceedings Papers

Nonstretching NMO correction using deep learning

Harpreet Kaur, Sergey Fomel
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3580806
DOI: https://doi.org/10.1190/segam2021-3580806.1
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View Paper titled, Nonstretching NMO correction using deep learning
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Proceedings Papers

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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View Paper titled, Boundary conditions for acoustic and elastic wave propagation using deep learning
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Proceedings Papers

A continuation approach for avoiding local minima in seismic velocity picking

Luke Decker, Sergey Fomel
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3579484
DOI: https://doi.org/10.1190/segam2021-3579484.1
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View Paper titled, A continuation approach for avoiding local minima in seismic velocity picking
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Proceedings Papers

Time-lapse seismic data inversion for estimating reservoir parameters using deep learning

Harpreet Kaur, Alexander Sun, Zhi Zhong, Sergey Fomel
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3419749
DOI: https://doi.org/10.1190/segam2020-3419749.1
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View Paper titled, Time-lapse seismic data inversion for estimating reservoir parameters using deep learning
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Proceedings Papers

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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View Paper titled, Separating primaries and multiples using hyperbolic Radon transform with deep learning
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Proceedings Papers

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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View Paper titled, Uncertainty estimation using Bayesian convolutional neural network for automatic channel detection
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Proceedings Papers

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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View Paper titled, Passive seismic signal denoising using convolutional neural network
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Proceedings Papers

A variational method for picking velocity surfaces from semblance scans

Luke Decker, Sergey Fomel
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427765
DOI: https://doi.org/10.1190/segam2020-3427765.1
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View Paper titled, A variational method for picking velocity surfaces from semblance scans
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Proceedings Papers

Path-integral seismic diffraction imaging with probability weights

Luke Decker, Sergey Fomel
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215424
DOI: https://doi.org/10.1190/segam2019-3215424.1
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View Paper titled, Path-integral seismic diffraction imaging with probability weights
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Proceedings Papers

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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View Paper titled, Elastic wave-mode separation in heterogeneous anisotropic media using deep learning
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