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Journal Articles

Augmenting Deep Residual Surrogates with Fourier Neural Operators for Rapid Two-Phase Flow and Transport Simulations

Faruk O. Alpak, Janaki Vamaraju, James W. Jennings, Jr., Suraj Pawar, Pandu Devarakota, Detlef Hohl
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 28 (06): 2982–3003.
Paper Number: SPE-217441-PA
https://doi.org/10.2118/217441-PA
Published: 13 December 2023
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View article titled, Augmenting Deep Residual Surrogates with Fourier Neural Operators for Rapid Two-Phase Flow and Transport Simulations
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Proceedings Papers

Efficient subsurface carbon storage modeling with Fourier neural operator

Suraj Pawar, Pandu Devarakota, Faruk O. Alpak, Jeroen Snippe, Detlef Hohl
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916936
https://doi.org/10.1190/image2023-3916936.1
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Proceedings Papers

Deep learning in salt interpretation from R&D to deployment: Challenges and lessons learned

Pandu Devarakota, Apurva Gala, Zhenggang Li, Engin Alkan, Yihua Cai, John Kimbro, Dean Knott, Jeff Moore, Gislain Madiba
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751725
https://doi.org/10.1190/image2022-3751725.1
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View Paper titled, Deep learning in salt interpretation from R&D to deployment: Challenges and lessons learned
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Proceedings Papers

SaltCrawler: AI solution for accelerating velocity model building

Engin Alkan, Yihua Cai, Pandu Devarakota, Apurva Gala, John Kimbro, Dean Knott, Gislain Madiba, Jeff Moore
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751192
https://doi.org/10.1190/image2022-3751192.1
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Proceedings Papers

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
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751640
https://doi.org/10.1190/image2022-3751640.1
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Proceedings Papers

Physics-directed unsupervised machine learning: Quantifying uncertainty in seismic inversion

Sagar Singh, Yu Zhang, David Thanoon, Pandu Devarakota, Long Jin, Ilya Tsvankin
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3730701
https://doi.org/10.1190/image2022-3730701.1
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View Paper titled, Physics-directed unsupervised machine learning: Quantifying uncertainty in seismic inversion
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Proceedings Papers

Full-Stack Machine Learning Development Framework for Energy Industry Applications

Jie Chen, Changqing Yao, Pandu Devarakota, Mohamed Sidahmed, Zexuan Dong, Sai Kanuparthi, Jia Wei
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-210986-MS
https://doi.org/10.2118/210986-MS
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Proceedings Papers

3D Seismic Facies Classification on CPU and GPU HPC Clusters

Sergio Botelho, Vishal Das, Davide Vanzo, Pandu Devarakota, Vinay Rao, Santi Adavani
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208344-MS
https://doi.org/10.15530/AP-URTEC-2021-208344
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Proceedings Papers

AUTOMATCH: A fully automated adaptive subtraction driven by artificial intelligence

Jingbo Liu, Pandu Devarakota, Christian Sutton, Shuzhen Ye, Paul Webster
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583063
https://doi.org/10.1190/segam2021-3583063.1
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Proceedings Papers

Machine Learning Method to Determine Salt Structures from Gravity Data

Jie Chen, Cara Schiek-Stewart, Ligang Lu, Susanne Witte, Karin Eres Guardia, Francesco Menapace, Pandu Devarakota, Mohamed Sidahmed
Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201424-MS
https://doi.org/10.2118/201424-MS
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Proceedings Papers

Neural Network Assisted Seismic Velocity Editing

Srungeer Simha, Jeroen Goudswaard, Pandu Devarakota, Prakalp Somawanshi
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 11–14, 2019
Paper Number: SPE-197919-MS
https://doi.org/10.2118/197919-MS
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