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Proceedings Papers

Deep learning to predict subsurface properties from injected CO 2 plume bodies using time-lapse seismic shot gathers

Son Phan, Wenyi Hu, 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-2022-3748991
DOI: https://doi.org/10.1190/image2022-3748991.1
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View Paper titled, Deep learning to predict subsurface properties from injected CO 2 plume bodies using time-lapse seismic shot gathers
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Proceedings Papers

NLP applications in the oil and natural gas industry

Prashanth Pillai, Srikanth Ryali, Hiren Maniar, Purnaprajna Mangsuli, 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-2022-3739659
DOI: https://doi.org/10.1190/image2022-3739659.1
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View Paper titled, NLP applications in the oil and natural gas industry
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Proceedings Papers

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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View Paper titled, An integrated workflow for deep learning-accelerated seismic modelling of the Groningen gas field, the Netherlands
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Proceedings Papers

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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View Paper titled, Validating machine learning-based seismic property prediction through self-supervised seismic reconstruction
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Proceedings Papers

Automated active learning for seismic facies classification

Haibin Di, Leigh Truelove, 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-2022-3751163
DOI: https://doi.org/10.1190/image2022-3751163.1
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View Paper titled, Automated active learning for seismic facies classification
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Proceedings Papers

Deep learning-based raster digitization engine

Atul Laxman Katole, Purnaprajna Mangsuli, Omkar Gune, Mohd Saood Shakeel, Abhiman Neelakanteswara, 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-2022-3751237
DOI: https://doi.org/10.1190/image2022-3751237.1
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Proceedings Papers

Automatic salt geometry update using deep learning in iterative FWI-RTM workflows

Tao Zhao, Chunpeng Zhao, Anisha Kaul, Aria Abubakar
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582052
DOI: https://doi.org/10.1190/segam2021-3582052.1
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View Paper titled, Automatic salt geometry update using deep learning in iterative FWI-RTM workflows
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Proceedings Papers

Validating the goodness-of-fit of machine learning models through backward models

Tao Zhao, Bhuvaneswari Sankaranarayanan, Haibin Di, Aria Abubakar
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582062
DOI: https://doi.org/10.1190/segam2021-3582062.1
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View Paper titled, Validating the goodness-of-fit of machine learning models through backward models
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Proceedings Papers

Deep learning applications for wind farms site characterization and monitoring

Aria Abubakar, Mette Juncker Brædstrup, Haibin Di, Alberto Troya Diaz, Steve Freeman, Simon Hviid, Knud Ho Karkov, Sachin Kriplani, Sunil Manikani, Gwenaëlle Salun, Tao Zhao
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583026
DOI: https://doi.org/10.1190/segam2021-3583026.1
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View Paper titled, Deep learning applications for wind farms site characterization and monitoring
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Proceedings Papers

Pseudo three-dimensional deep learning approach for top and bottom of salt detection

Anisha Kaul, Cen Li, Aria Abubakar
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594858
DOI: https://doi.org/10.1190/segam2021-3594858.1
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View Paper titled, Pseudo three-dimensional deep learning approach for top and bottom of salt detection
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Proceedings Papers

Using relative geologic time to constrain seismic facies classification using neural networks

Haibin Di, Zhun Li, Aria Abubakar
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582241
DOI: https://doi.org/10.1190/segam2021-3582241.1
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View Paper titled, Using relative geologic time to constrain seismic facies classification using neural networks
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Proceedings Papers

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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View Paper titled, A supervised descent learning technique for inversion of directional electromagnetic logging-while-drilling data
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Proceedings Papers

Complete sequence stratigraphy from seismic optical flow without human labeling

Zhun Li, Aria Abubakar
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427292
DOI: https://doi.org/10.1190/segam2020-3427292.1
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View Paper titled, Complete sequence stratigraphy from seismic optical flow without human labeling
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Proceedings Papers

Semi-supervised seismic and well log integration for reservoir property estimation

Haibin Di, Xiaoli Chen, Hiren Maniar, Aria Abubakar
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3425747
DOI: https://doi.org/10.1190/segam2020-3425747.1
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View Paper titled, Semi-supervised seismic and well log integration for reservoir property estimation
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Proceedings Papers

Wasserstein cycle-consistent generative adversarial network for improved seismic impedance inversion: Example on 3D SEAM model

Ao Cai, Haibin Di, Zhun Li, Hiren Maniar, Aria Abubakar
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3425785
DOI: https://doi.org/10.1190/segam2020-3425785.1
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View Paper titled, Wasserstein cycle-consistent generative adversarial network for improved seismic impedance inversion: Example on 3D SEAM model
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Proceedings Papers

Ground roll attenuation with an unsupervised deep learning approach

Rui Guo, Hiren Maniar, Haibin Di, Nick Moldoveanu, Aria Abubakar, Maokun Li
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3425792
DOI: https://doi.org/10.1190/segam2020-3425792.1
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View Paper titled, Ground roll attenuation with an unsupervised deep learning approach
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Proceedings Papers

Joint 2D inversion of AMT and seismic traveltime data with deep learning constraint

Rui Guo, Maokun Li, Fan Yang, Heming Yao, Lijun Jiang, Michael Ng, Aria Abubakar
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426298
DOI: https://doi.org/10.1190/segam2020-3426298.1
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View Paper titled, Joint 2D inversion of AMT and seismic traveltime data with deep learning constraint
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Proceedings Papers

Detecting the fundamental mode of energy for surface wave analysis, modelling, and inversion, using a deep convolutional network

Anisha Kaul, Aria Abubakar, Amr Misbah, Phillip J. Bilsby
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3424584
DOI: https://doi.org/10.1190/segam2020-3424584.1
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View Paper titled, Detecting the fundamental mode of energy for surface wave analysis, modelling, and inversion, using a deep convolutional network
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Proceedings Papers

Augment time-domain FWI with iterative deep learning

Tao Zhao, Aria Abubakar, Xin Cheng, Lei Fu
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3424983
DOI: https://doi.org/10.1190/segam2020-3424983.1
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View Paper titled, Augment time-domain FWI with iterative deep learning
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Proceedings Papers

Regularized supervised descent method for 2-D magnetotelluric data inversion

Rui Guo, Maokun Li, Fan Yang, Shenheng Xu, Aria Abubakar
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215540
DOI: https://doi.org/10.1190/segam2019-3215540.1
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View Paper titled, Regularized supervised descent method for 2-D magnetotelluric data inversion
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