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Proceedings Papers

Introducing stochasticity into CNN-based property estimation from angle-stack seismic

Haibin Di, Tao Zhao, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4076489
https://doi.org/10.1190/image2024-4076489.1
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View Paper titled, Introducing stochasticity into CNN-based property estimation from angle-stack seismic
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Massive focal mechanism solutions from deep learning in west Texas

Yangkang Chen, Omar M. Saad, Alexandros Savvaidis, Fangxue Zhang, Yunfeng Chen, Dino Huang, Huijian Li, Farzaneh Aziz Zanjani
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4081476
https://doi.org/10.1190/image2024-4081476.1
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View Paper titled, Massive focal mechanism solutions from deep learning in west Texas
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Proceedings Papers

Unsupervised frequency space domain deep learning framework for reconstructing 5D seismic data

Gui Chen, Yang Liu, Haoran Zhang, Mi Zhang, Yuhang Sun
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4081840
https://doi.org/10.1190/image2024-4081840.1
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View Paper titled, Unsupervised frequency space domain deep learning framework for reconstructing 5D seismic data
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Proceedings Papers

Improving fault resolution from multiple angle stacks by latent feature analysis with deep learning

Fan Jiang, Konstantin Osypov
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4083103
https://doi.org/10.1190/image2024-4083103.1
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View Paper titled, Improving fault resolution from multiple angle stacks by latent feature analysis with deep learning
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Proceedings Papers

Improve automatic migrated gather processing with feature engineering and 4D convolutional neural networks

Wen Pan, Harry Rynja, Ramakrishna Dandu, Zaifeng Liu, Shuzhen Ye, Antonio De Lilla, Jay Chen, Jeremy Vila
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4086530
https://doi.org/10.1190/image2024-4086530.1
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View Paper titled, Improve automatic migrated gather processing with feature engineering and 4D convolutional neural networks
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Proceedings Papers

Semi-supervised ground-roll wave segmentation with noise label via neural network evolution

Yinshuo Li, Wenkai Lu
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4087062
https://doi.org/10.1190/image2024-4087062.1
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View Paper titled, Semi-supervised ground-roll wave segmentation with noise label via neural network evolution
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Proceedings Papers

Pushing the limit of 5D interpolation using deep learning

Yangkang Chen, Hang Wang, Chao Li, Omar M. Saad
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4087480
https://doi.org/10.1190/image2024-4087480.1
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Proceedings Papers

Attention-based self-calibrated convolution neural network for efficient facies classification

Motaz Alfarraj
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4087583
https://doi.org/10.1190/image2024-4087583.1
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View Paper titled, Attention-based self-calibrated convolution neural network for efficient facies classification
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Automatic well-log baseline correction via deep learning for rapid screening of potential CO 2 storage sites

Misael M. Morales, Carlos Torres-Verdín, Michael Pyrcz, Murray Christie, Vladimir Rabinovich
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4088064
https://doi.org/10.1190/image2024-4088064.1
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View Paper titled, Automatic well-log baseline correction via deep learning for rapid screening of potential CO 2 storage sites
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Proceedings Papers

JAX acceleration of implicit FWI and field data application

H. V. Nguyen, A. Sekar, K. Wang, T. Zhang, T. Nemeth, U. Albertin, M. Eaid, K. Nihei, E. Wang, K. Innanen
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4089099
https://doi.org/10.1190/image2024-4089099.1
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View Paper titled, JAX acceleration of implicit FWI and field data application
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Proceedings Papers

Deep learning approach to inverting flexural wave dispersion

Hengjian Zhang, Zhifen Sun, Xianzhi Li, Xiaofang Sun, Chu Wang, Ya Jin, Xiaofei Wang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4089186
https://doi.org/10.1190/image2024-4089186.1
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View Paper titled, Deep learning approach to inverting flexural wave dispersion
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Proceedings Papers

Feature template based nonlinear time difference correction for first break automatic picking

Chao Ning, Huazhong Wang, Bo Feng, Chengliang Wu
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100627
https://doi.org/10.1190/image2024-4100627.1
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View Paper titled, Feature template based nonlinear time difference correction for first break automatic picking
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Deep learning-based 3D microseismic event direct location using simultaneous surface and borehole data: An application to the Utah FORGE site

Yuanyuan Yang, Omar M. Saad, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100633
https://doi.org/10.1190/image2024-4100633.1
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View Paper titled, Deep learning-based 3D microseismic event direct location using simultaneous surface and borehole data: An application to the Utah FORGE site
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Proceedings Papers

Enhancing reservoir simulation workflows by coupling a GPU-accelerated full-physics simulator with a Fourier neural operator-based surrogate model

Karthik Mukundakrishnan, Klaus Wiegand, Vidyasagar Ananthan, Daniel Kahn, Dmitriy Tischekin, Marcos Kajita, Clement Etienam
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100677
https://doi.org/10.1190/image2024-4100677.1
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View Paper titled, Enhancing reservoir simulation workflows by coupling a GPU-accelerated full-physics simulator with a Fourier neural operator-based surrogate model
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Proceedings Papers

Leveraging source-over-cable marine seismic field data for near offset reconstruction with deep learning

Owen Rohwer Huff, Jan Erik Lie, Andreas Kjelsrud Evensen, Aina Juell Bugge
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100715
https://doi.org/10.1190/image2024-4100715.1
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View Paper titled, Leveraging source-over-cable marine seismic field data for near offset reconstruction with deep learning
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Proceedings Papers

Data-embedded physics-informed neural network for electromagnetic wave propagation simulation: Potentials and challenges

Yawei Su, Wenyi Hu, Jiefu Chen, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100766
https://doi.org/10.1190/image2024-4100766.1
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View Paper titled, Data-embedded physics-informed neural network for electromagnetic wave propagation simulation: Potentials and challenges
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Proceedings Papers

Improving 3D seismic facies interpretation with an advanced deep learning method utilizing both spatial and temporal dependencies

Miao Tian, Sumit Verma, Yining Gao
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100951
https://doi.org/10.1190/image2024-4100951.1
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View Paper titled, Improving 3D seismic facies interpretation with an advanced deep learning method utilizing both spatial and temporal dependencies
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Proceedings Papers

Nano-enhanced drilling fluids: Effects of MgO and ZnO nanoparticles on rheological properties and ANN modeling for predictive analysis

Moamen Gasser, Taha Yehia, Hossam Ebaid, Nathan Meehan, Omar Mahmoud
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101073
https://doi.org/10.1190/image2024-4101073.1
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View Paper titled, Nano-enhanced drilling fluids: Effects of MgO and ZnO nanoparticles on rheological properties and ANN modeling for predictive analysis
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Proceedings Papers

Research and application of Intelligent high resolution processing method based on ISTA-Net

Huahui Zeng, Qin Su, Sanyi Yuan, Lide Wang, Yanwu Xu, Huijie Meng, Deying Wang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101218
https://doi.org/10.1190/image2024-4101218.1
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View Paper titled, Research and application of Intelligent high resolution processing method based on ISTA-Net
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Proceedings Papers

Towards flexible demultiple with deep learning

Mario Fernandez, Norman Ettrich, Matthias Delescluse, Alain Rabaute, Janis Keuper
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101284
https://doi.org/10.1190/image2024-4101284.1
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