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Proceedings Papers

Advancement in Seismic Data Conditioning Using Tailored Deep Neural Networks

Mujeeb Oke, Hesham Hasan, Hiren Maniar, Georges Assaf, Tao Zhao, Aria Abubakar, Houcine Ben Jeddou, Chakib Kada Kloucha, Hussein Mustapha
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222977-MS
https://doi.org/10.2118/222977-MS
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View Paper titled, Advancement in Seismic Data Conditioning Using Tailored Deep Neural Networks
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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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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

Seismic image resolution enhancement with limited-well datasets using deep learning

Son Phan, Haibin Di, Wenyi Hu, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094354
https://doi.org/10.1190/image2024-4094354.1
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View Paper titled, Seismic image resolution enhancement with limited-well datasets using deep learning
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Proceedings Papers

Supervised vs unsupervised deep learning for time-lapse seismic repeatability enforcement

Son Phan, Wenyi Hu, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094362
https://doi.org/10.1190/image2024-4094362.1
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View Paper titled, Supervised vs unsupervised deep learning for time-lapse seismic repeatability enforcement
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Proceedings Papers

A two-stage deep learning workflow for automated seismic inversion

Haibin Di, Wenyi Hu, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4099716
https://doi.org/10.1190/image2024-4099716.1
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View Paper titled, A two-stage deep learning workflow for automated seismic inversion
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Proceedings Papers

A Deep Learning Workflow for Integrated Geological, Petrophysical, and Geomechanical Interpretation

Vanessa Simoes, Atul Katole, Bhuvaneswari Sankaranarayanan, Tao Zhao, Aria Abubakar
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4040968-MS
https://doi.org/10.15530/urtec-2024-4040968
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View Paper titled, A Deep Learning Workflow for Integrated Geological, Petrophysical, and Geomechanical Interpretation
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Proceedings Papers

Machine Learning Based Automatic Marker Clustering

Atul Laxman Katole, Aria Abubakar, Edo Hoekstra, Srikanth Ryali, Tao Zhao
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215065-MS
https://doi.org/10.2118/215065-MS
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Proceedings Papers

Automatic Estimation of Reservoir Properties Using 3D Machine Learning Workflow Independent of Well Alignment in the Presence of Geological Complexes

Kinjal Dhar Gupta, Haibin Di, Aria Abubakar
Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216867-MS
https://doi.org/10.2118/216867-MS
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View Paper titled, Automatic Estimation of Reservoir Properties Using 3D Machine Learning Workflow Independent of Well Alignment in the Presence of Geological Complexes
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Proceedings Papers

Seismic Data Compression by Variational Autoencoder With Hyperprior

Shirui Wang, Wenyi Hu, Aria Abubakar, Xuqing Wu, Jiefu Chen
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910119
https://doi.org/10.1190/image2023-3910119.1
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View Paper titled, Seismic Data Compression by Variational Autoencoder With Hyperprior
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Proceedings Papers

Generating geophysical models from text for constructing the dataset of learning-based MT inversion

Yutong Li, Hongyu Zhou, Rui Guo, Maokun Li, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916917
https://doi.org/10.1190/image2023-3916917.1
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View Paper titled, Generating geophysical models from text for constructing the dataset of learning-based MT inversion
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Proceedings Papers

Deep learning based automatic marker separation

Atul Laxman Katole, Aria Abubakar, Edo Hoekstra, Srikanth Ryali, Tao Zhao
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916091
https://doi.org/10.1190/image2023-3916091.1
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Proceedings Papers

An MT data inversion method constrained by seismic texture

Hongyu Zhou, Rui Guo, Maokun Li, Fan Yang, Shengheng Xu, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3906358
https://doi.org/10.1190/image2023-3906358.1
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View Paper titled, An MT data inversion method constrained by seismic texture
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Journal Articles

Comparative Study of Machine-Learning-Based Methods for Log Prediction

Vanessa Simoes, Hiren Maniar, Aria Abubakar, Tao Zhao
Journal: Petrophysics - The SPWLA Journal of Formation Evaluation and Reservoir Description
Publisher: Society of Petrophysicists and Well-Log Analysts
Petrophysics 64 (02): 192–212.
Paper Number: SPWLA-2023-v64n2a4
https://doi.org/10.30632/PJV64N2-2023a4
Published: 04 April 2023
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View article titled, Comparative Study of Machine-Learning-Based Methods for Log Prediction
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Journal Articles

Deep Learning for Multiwell Automatic Log Correction

Vanessa Simoes, Hiren Maniar, Aria Abubakar, Tao Zhao
Journal: Petrophysics - The SPWLA Journal of Formation Evaluation and Reservoir Description
Publisher: Society of Petrophysicists and Well-Log Analysts
Petrophysics 63 (06): 724–747.
Paper Number: SPWLA-2022-v63n6a10
https://doi.org/10.30632/PJV63N6-2022a10
Published: 12 December 2022
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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
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3739659
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

Validating machine learning-based seismic property prediction through self-supervised seismic reconstruction

Tao Zhao, Haibin Di, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746933
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

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

Son Phan, Wenyi Hu, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3748991
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

Deep learning-based raster digitization engine

Atul Laxman Katole, Purnaprajna Mangsuli, Omkar Gune, Mohd Saood Shakeel, Abhiman Neelakanteswara, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751237
https://doi.org/10.1190/image2022-3751237.1
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View Paper titled, Deep learning-based raster digitization engine
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Proceedings Papers

Automated active learning for seismic facies classification

Haibin Di, Leigh Truelove, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751163
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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