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Edo Pratama
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Proceedings Papers

Numerical – Geomechanical Investigation on the Relative Permeability Changes During CO 2 Sequestration in Depleted Carbonate Gas Reservoir

Raj Deo Tewari, Edo Pratama, Muhammad Hamzi Yakup, Prasanna Chidambaram, Mohammad Oggi Refani, Dmitry Eydinov
Paper presented at the International Geomechanics Conference, November 18–20, 2024
Paper Number: ARMA-IGS-2024-0607
https://doi.org/10.56952/IGS-2024-0607
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View Paper titled, Numerical – Geomechanical Investigation on the Relative Permeability Changes During CO 2 Sequestration in Depleted Carbonate Gas Reservoir
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Proceedings Papers

Uncertainty and Risk Due to Known Knowns, Known Unknowns and Unknown Unknowns in Saline Aquifer CO 2 Sequestration

Raj Deo Tewari, Edo Pratama, Prasanna Chidambaram, Mohammad Oggi Refani, M Faizal Sedaralit, Dmitry Eydinov, Pankaj Kumar Tiwari, Debasis Priyadarshan Das
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34808-MS
https://doi.org/10.4043/34808-MS
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View Paper titled, Uncertainty and Risk Due to Known Knowns, Known Unknowns and Unknown Unknowns in Saline Aquifer CO 2 Sequestration
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Proceedings Papers

Machine Learning Vs. Statistical Models Approach: A Case for Probabilistic AFE Cost in Drilling

Muhammad Nasir Muhammad Yunus, Wan Mohd Syazwan Wan Ibrahim, Ahmad Afiq Mahadi, Muhammad Arief Fikry Zainalabidin, Muhammad Faizuan Aminuddin, Edo Pratama, Mohd Redzuan Abdul Rahman, Ikhwan Yusoff
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211785-MS
https://doi.org/10.2118/211785-MS
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View Paper titled, Machine Learning Vs. Statistical Models Approach: A Case for Probabilistic AFE Cost in Drilling
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Proceedings Papers

Well Pair Based Communication Strength Analysis for Water Injection Reservoir Surveillance Using Monte Carlo Simulation Coupled with Machine Learning Approach

Edo Pratama, Syahrir Ridha, Berihun Mamo Negash
Paper presented at the Offshore Technology Conference Asia, March 22–25, 2022
Paper Number: OTC-31438-MS
https://doi.org/10.4043/31438-MS
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View Paper titled, Well Pair Based Communication Strength Analysis for Water Injection Reservoir Surveillance Using Monte Carlo Simulation Coupled with Machine Learning Approach
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Proceedings Papers

The Art of Deploying Data Mining and Machine Learning in Developing and Managing Deepwater Turbidite Gas Assets

Edo Pratama
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205652-MS
https://doi.org/10.2118/205652-MS
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View Paper titled, The Art of Deploying Data Mining and Machine Learning in Developing and Managing Deepwater Turbidite Gas Assets
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