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Proceedings Papers

Seismic data denoising by combining self-supervised and supervised learning

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Yen Sun, Paul Williamson
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3909418
https://doi.org/10.1190/image2023-3909418.1
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View Paper titled, Seismic data denoising by combining self-supervised and supervised learning
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Proceedings Papers

Invertible neural network for automatic velocity model building and uncertainty quantification

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Yen Sun, Junzhu Shen, Paul Williamson
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3908217
https://doi.org/10.1190/image2023-3908217.1
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View Paper titled, Invertible neural network for automatic velocity model building and uncertainty quantification
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Proceedings Papers

Deep compressed learning for 3D seismic inversion

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Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3898594
https://doi.org/10.1190/image2023-3898594.1
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View Paper titled, Deep compressed learning for 3D seismic inversion
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Proceedings Papers

Seismic data interpolation via frequency-constrained 3D inception Unet

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Yen Sun, Paul Williamson
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751145
https://doi.org/10.1190/image2022-3751145.1
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View Paper titled, Seismic data interpolation via frequency-constrained 3D inception Unet
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Proceedings Papers

Data characterization and transfer learning for DL-driven velocity model building

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Yen Sun, Mauricio Araya-Polo, Paul Williamson
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594467
https://doi.org/10.1190/segam2021-3594467.1
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View Paper titled, Data characterization and transfer learning for DL-driven velocity model building
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Proceedings Papers

Deep learning joint inversion of seismic and electromagnetic data for salt reconstruction

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Yen Sun, Bertrand Denel, Norman Daril, Lory Evano, Paul Williamson, Mauricio Araya-Polo
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426925
https://doi.org/10.1190/segam2020-3426925.1
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View Paper titled, Deep learning joint inversion of seismic and electromagnetic data for salt reconstruction
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Proceedings Papers

Probabilistic joint-inversion of marine CSEM and seismic traveltime data using VFSA and generalized fuzzy clustering

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Pankaj K. Mishra, Adrien Arnulf, Mrinal K. Sen, Bertrand Denel, Yen Sun, Paul Williamson
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428007
https://doi.org/10.1190/segam2020-3428007.1
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View Paper titled, Probabilistic joint-inversion of marine CSEM and seismic traveltime data using VFSA and generalized fuzzy clustering
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