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Proceedings Papers

Self-supervised learning for anti-aliasing seismic data interpolation

Pengyu Yuan, Shirui Wang, Wenyi Hu, Prashanth Nadukandi, German Ocampo Botero, Xuqing Wu, Jiefu Chen, Hien Van Nguyen
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3584206
DOI: https://doi.org/10.1190/segam2021-3584206.1
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Physics-guided self-supervised learning for monochromatic noise removal

Yuan Zi, Wenyi Hu, Jiefu Chen, Xuqing Wu, Zhu Han
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583068
DOI: https://doi.org/10.1190/segam2021-3583068.1
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Deep learning-enhanced multiphysics joint inversion

Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Jiefu Chen, Jiuping Chen, Yueqing Huang
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583667
DOI: https://doi.org/10.1190/segam2021-3583667.1
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2D simultaneous inversion for resistivity and dielectric constant using ultra-deep electromagnetic logging-while-drilling measurements

Li Yan, Jiefu Chen
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3584643
DOI: https://doi.org/10.1190/segam2021-3584643.1
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A fast integral equation method for electromagnetic modeling of the energized casings and reservoir fluids in layered formations

Chaoxian Qi, Jiefu Chen, Jiuping Chen, Yueqin Huang
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3590214
DOI: https://doi.org/10.1190/segam2021-3590214.1
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Seismic deblending by self-supervised deep learning with a blind-trace network

Shirui Wang, Wenyi Hu, Pengyu Yuan, Xuqing Wu, Qunshan Zhang, Prashanth Nadukandi, German Ocampo Botero, Jiefu Chen
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583662
DOI: https://doi.org/10.1190/segam2021-3583662.1
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Efficient progressive transfer learning for low-frequency reflection seismic data prediction

Yuchen Jin, Wenyi Hu, Xuqing Wu, Jiefu Chen
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594767
DOI: https://doi.org/10.1190/segam2021-3594767.1
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Physics-guided self-supervised learning for low frequency data prediction in FWI

Wenyi Hu, Yuchen Jin, Xuqing Wu, Jiefu Chen
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3423396
DOI: https://doi.org/10.1190/segam2020-3423396.1
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Reinforced learning technique for multi-well logs depth matching yield better reservoir delineation

Michael Bittar, Shirui Wang, Jiefu Chen, Xuqing Wu
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-W13-02
DOI: https://doi.org/10.1190/segam2020-w13-02.1
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A physics-augmented deep learning method for seismic data deblending

Shirui Wang, Wenyi Hu, Yanyan Hu, Xuqing Wu, Jiefu Chen
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-W13-07
DOI: https://doi.org/10.1190/segam2020-w13-07.1
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Underground formation characterization and uncertainty quantification using transitional Markov chain Monte Carlo sampling with an efficient parallel implementation

Han Lu, Jiefu Chen, Xuqing Wu, Xin Fu, Mohammad Khalil, Cosmin Safta, Yueqin Huang
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426670
DOI: https://doi.org/10.1190/segam2020-3426670.1
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RNN-based gradient prediction for solving magnetotelluric inverse problem

Yuchen Jin, Yanyan Hu, Xuqing Wu, Jiefu Chen
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428333
DOI: https://doi.org/10.1190/segam2020-3428333.1
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A new multiple magnetic targets location method in 3D space

Zhijian Zhou, Meng Zhang, Jiefu Chen
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426022
DOI: https://doi.org/10.1190/segam2020-3426022.1
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Adaptive first arrival picking model with meta-learning

Pengyu Yuan, Wenyi Hu, Xuqing Wu, Jiefu Chen, Hien Van Nguyen
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3420195
DOI: https://doi.org/10.1190/segam2020-3420195.1
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A supervised descent learning technique for inversion of directional electromagnetic logging-while-drilling data

Yanyan Hu, Rui Guo, Yuchen Jin, Xuqing Wu, Maokun Li, Aria Abubakar, Jiefu Chen
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3415191
DOI: https://doi.org/10.1190/segam2020-3415191.1
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Integral equation method for the subsurface sensing applications with wire-to-surface junction structures in layered media

Shubin Zeng, Jiefu Chen
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216867
DOI: https://doi.org/10.1190/segam2019-3216867.1
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First arrival picking using U-net with Lovasz loss and nearest point picking method

Pengyu Yuan, Wenyi Hu, Xuqing Wu, Jiefu Chen, Hien Van Nguyen
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214404
DOI: https://doi.org/10.1190/segam2019-3214404.1
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A progressive deep transfer learning approach to cycle-skipping mitigation in FWI

Wenyi Hu, Yuchen Jin, Xuqing Wu, Jiefu Chen
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216030
DOI: https://doi.org/10.1190/segam2019-3216030.1
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Seismic data denoising by deep-residual networks

Yuchen Jin, Xuqing Wu, Jiefu Chen, Zhu Han, Wenyi Hu
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2998619
DOI: https://doi.org/10.1190/segam2018-2998619.1
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First-break automatic picking with deep semisupervised learning neural network

Kuo Chun Tsai, Wenyi Hu, Xuqing Wu, Jiefu Chen, Zhu Han
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2998106
DOI: https://doi.org/10.1190/segam2018-2998106.1
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