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Proceedings Papers

Accelerating innovation with software abstractions for scalable computational geophysics

Mathias Louboutin, Philipp Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750561
DOI: https://doi.org/10.1190/image2022-3750561.1
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An integrated workflow for deep learning-accelerated seismic modelling of the Groningen gas field, the Netherlands

Haibin Di, Vanessa Simoes, Zhun Li, Cen Li, Anisha Kaul, Aria Abubakar
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750808
DOI: https://doi.org/10.1190/image2022-3750808.1
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Joint inversion of magnetotelluric and seismic travel time data with intelligent interpretation of geophysical models

Hongyu Zhou, Rui Guo, Maokun Li, Fan Yang, Shengheng Xu, Zuzhi Hu, Deqiang Tao
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751528
DOI: https://doi.org/10.1190/image2022-3751528.1
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A novel deep learning-assisted reservoir fracture delineation with conditional generative adversarial networks

Ardiansyah Koeshidayatullah, Ivan Ferreira
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751545
DOI: https://doi.org/10.1190/image2022-3751545.1
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Deep learning to maximize the value of fast-track 4D seismic processing

Arnab Dhara, Haron Abdel-Raziq, Denis Kiyashchenko, Asiya Kudarova, Janaki Vamaraju, Albena Mateeva, Pandu Devarakota, Kanglin Wang, Jorge Lopez
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751640
DOI: https://doi.org/10.1190/image2022-3751640.1
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Operator chains and seismic data decomposition

Sergey Fomel
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751656
DOI: https://doi.org/10.1190/image2022-3751656.1
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Seismic inversion with dictionary learning using unsupervised machine learning

Debajeet Barman, Mrinal K. Sen
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751666
DOI: https://doi.org/10.1190/image2022-3751666.1
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Deep learning decomposition for null and active space estimation for thin-bed reflectivity inversion

Kristian Torres, Mauricio D. Sacchi
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751668
DOI: https://doi.org/10.1190/image2022-3751668.1
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Separation of simultaneous source wavefields using convolutional neural network

Zhehao Li, Hua-Wei Zhou, Kang Fu
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746676
DOI: https://doi.org/10.1190/image2022-3746676.1
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Estimating CO2 saturation maps from seismic data using deep convolutional neural networks

Zi Xian Leong, Tieyuan Zhu, Alexander Y. Sun
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746727
DOI: https://doi.org/10.1190/image2022-3746727.1
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A robust approach for shear log predictions using deep learning on big data sets from a carbonate reservoir for integrated reservoir characterization projects

Aun Al Ghaithi
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746877
DOI: https://doi.org/10.1190/image2022-3746877.1
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Machine learning inversions incorporating geologic information through variational autoencoder and physics-based neural network

Yaoguo Li, Taqi Alyousuf, Andy McAliley
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746882
DOI: https://doi.org/10.1190/image2022-3746882.1
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Efficient seismic image super-resolution

Adnan Hamida, Motaz Alfarraj, Abdullatif A. Al-Shuhail, Salam A. Zummo
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746892
DOI: https://doi.org/10.1190/image2022-3746892.1
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Validating machine learning-based seismic property prediction through self-supervised seismic reconstruction

Tao Zhao, Haibin Di, Aria Abubakar
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746933
DOI: https://doi.org/10.1190/image2022-3746933.1
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A self-attention enhanced encoder-decoder network for seismic data denoising

Stefan Knispel, Jan Walda, Ruediger Zehn, Alexander Bauer, Dirk Gajewski
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3747218
DOI: https://doi.org/10.1190/image2022-3747218.1
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Kronecker neural networks for the win: Overcoming spectral bias for PINN-based wavefield computation

Umair bin Waheed
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3747298
DOI: https://doi.org/10.1190/image2022-3747298.1
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Mitigating elastic effects of acoustic full-waveform inversion with deep learning and application to field data

Dimitri Voytan, Adriano Gomes, Debanjan Datta, René-Édouard Plessix, Anu Chandran, Ken Matson
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3747493
DOI: https://doi.org/10.1190/image2022-3747493.1
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Machine learning-based residual moveout picking

Farhad Bazargani, Wenjun Zhang, Anu Chandran, Zaifeng Liu, Harry Rynja
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3747524
DOI: https://doi.org/10.1190/image2022-3747524.1
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Automated metallic pipeline detection using magnetic data and convolutional neural networks

Brett Bernstein, Yaoguo Li, Richard Hammack
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3747530
DOI: https://doi.org/10.1190/image2022-3747530.1
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RNN-based seismic velocity model building: Improving generalization using hybrid training data

Hani Alzahrani, Jeffrey Shragge
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3747548
DOI: https://doi.org/10.1190/image2022-3747548.1
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