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Proceedings Papers

Attenuation-based deep learning for volcanic reservoirs characterization: A case study from Junggar Basin, China

Xiaoming Sun, Xinming Wu, Siyuan Cao
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3588888
https://doi.org/10.1190/segam2021-3588888.1
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View Paper titled, Attenuation-based deep learning for volcanic reservoirs characterization: A case study from Junggar Basin, China
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Proceedings Papers

Seismic horizon identification using semisupervised learning with virtual adversarial training

Fu Wang, Xinming Wu, Huazhong Wang
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594274
https://doi.org/10.1190/segam2021-3594274.1
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View Paper titled, Seismic horizon identification using semisupervised learning with virtual adversarial training
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Proceedings Papers

Building subsurface models with horizon-guided interpolation and deep learning: Applied to the Volve field

Shangsheng Yan, Xiaoming Sun, Xinming Wu, Sibo Zhang, Hongjie Si
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594692
https://doi.org/10.1190/segam2021-3594692.1
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View Paper titled, Building subsurface models with horizon-guided interpolation and deep learning: Applied to the Volve field
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Proceedings Papers

Implicit structural modeling of geological structures with deep learning

Zhnegfa Bi, Xinming Wu
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583427
https://doi.org/10.1190/segam2021-3583427.1
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View Paper titled, Implicit structural modeling of geological structures with deep learning
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Proceedings Papers

Comparing convolutional neural networking and image processing seismic fault detection methods

Jie Qi, Bin Lyu, Xinming Wu, Kurt Marfurt
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428171
https://doi.org/10.1190/segam2020-3428171.1
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View Paper titled, Comparing convolutional neural networking and image processing seismic fault detection methods
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Proceedings Papers

Deep learning for simultaneous seismic image super-resolution and denoising

Jintao Li, Xinming Wu, Zhanxuan Hu
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426412
https://doi.org/10.1190/segam2020-3426412.1
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View Paper titled, Deep learning for simultaneous seismic image super-resolution and denoising
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Proceedings Papers

3D relative geologic time estimation with deep learning

Zhengfa Bi, Zhicheng Geng, Hang Gao, Xinming Wu, Haishan Li
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427388
https://doi.org/10.1190/segam2020-3427388.1
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View Paper titled, 3D relative geologic time estimation with deep learning
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Proceedings Papers

Wavelet estimation and nonstretching NMO correction

Hanlin Sheng, Xinming Wu, Bo Zhang
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427094
https://doi.org/10.1190/segam2020-3427094.1
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View Paper titled, Wavelet estimation and nonstretching NMO correction
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Proceedings Papers

Seismic horizon refinement with dynamic programming

Shangsheng Yan, Xinming Wu
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427504
https://doi.org/10.1190/segam2020-3427504.1
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View Paper titled, Seismic horizon refinement with dynamic programming
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Proceedings Papers

Deep learning for characterizing paleokarst features in 3D seismic images

Xinming Wu, Shangsheng Yan, Jie Qi, Hongliu Zeng
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427708
https://doi.org/10.1190/segam2020-3427708.1
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View Paper titled, Deep learning for characterizing paleokarst features in 3D seismic images
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Proceedings Papers

Kernel prediction network for common image gather stacking

Ziang Li, Xinming Wu, Luming Liang, Xiaofeng Jia
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427494
https://doi.org/10.1190/segam2020-3427494.1
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View Paper titled, Kernel prediction network for common image gather stacking
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Proceedings Papers

Channel simulation and deep learning for channel interpretation in 3D seismic images

Hang Gao, Xinming Wu, Guofeng Liu
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426477
https://doi.org/10.1190/segam2020-3426477.1
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View Paper titled, Channel simulation and deep learning for channel interpretation in 3D seismic images
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Proceedings Papers

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
https://doi.org/10.1190/segam2019-3215375.1
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View Paper titled, Missing sonic log prediction using convolutional long short-term memory
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Proceedings Papers

FaultNet: A deep CNN model for 3D automated fault picking

Qie Zhang, Anar Yusifov, Corey Joy, Yunzhi Shi, Xinming Wu
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215930
https://doi.org/10.1190/segam2019-3215930.1
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View Paper titled, FaultNet: A deep CNN model for 3D automated fault picking
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Proceedings Papers

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
https://doi.org/10.1190/segam2019-3214282.1
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View Paper titled, Building realistic structure models to train convolutional neural networks for seismic structural interpretation
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Proceedings Papers

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
https://doi.org/10.1190/segam2019-3214459.1
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View Paper titled, Relative geologic time estimation using a deep convolutional neural network
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Proceedings Papers

Interactive tracking of seismic geobodies using deep learning flood-filling network

Yunzhi Shi, Xinming Wu
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214810
https://doi.org/10.1190/segam2019-3214810.1
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View Paper titled, Interactive tracking of seismic geobodies using deep learning flood-filling network
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Proceedings Papers

3D diffraction separation and imaging using an adaptive rank-reduction method

Peng Lin, Suping Peng, Rushan Wu, Jingtao Zhao, Xiaoqin Cui, Xinming Wu
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214845
https://doi.org/10.1190/segam2019-3214845.1
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View Paper titled, 3D diffraction separation and imaging using an adaptive rank-reduction method
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Proceedings Papers

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
https://doi.org/10.1190/segam2019-3215251.1
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View Paper titled, 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
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Proceedings Papers

Convolutional neural networks for fault interpretation in seismic images

Xinming Wu, Yunzhi Shi, Sergey Fomel, Luming Liang
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2995341
https://doi.org/10.1190/segam2018-2995341.1
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View Paper titled, Convolutional neural networks for fault interpretation in seismic images
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