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Proceedings Papers

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

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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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Proceedings Papers

Massive focal mechanism solutions from deep learning in west Texas

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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

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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

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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

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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

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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

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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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View Paper titled, Pushing the limit of 5D interpolation using deep learning
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Proceedings Papers

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

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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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Proceedings Papers

Automatic well-log baseline correction via deep learning for rapid screening of potential CO 2 storage sites

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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

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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

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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

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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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Proceedings Papers

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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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

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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

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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

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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

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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

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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

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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

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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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View Paper titled, Towards flexible demultiple with deep learning
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