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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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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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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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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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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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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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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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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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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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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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Prestack phase corrections using local seismic attributes

Sarah Greer, Sergey Fomel, Michael Fry
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214515
DOI: https://doi.org/10.1190/segam2019-3214515.1
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Relative geologic time estimation using a deep convolutional neural network

Zhicheng Geng, Xinming Wu, Yunzhi Shi, Sergey Fomel
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214459
DOI: https://doi.org/10.1190/segam2019-3214459.1
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Seismic image interpolation from irregular locations to a 3D grid using dynamic time warping

Ben Gremillion, Sergey Fomel
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216646
DOI: https://doi.org/10.1190/segam2019-3216646.1
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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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Deep learning for local seismic image processing: Fault detection, structure-oriented smoothing with edge-preserving, and slope estimation by using a single convolutional neural network

Xinming Wu, Luming Liang, Yunzhi Shi, Zhicheng Geng, Sergey Fomel
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215251
DOI: https://doi.org/10.1190/segam2019-3215251.1
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