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Proceedings Papers

Value Creation in Sustainable Energy Transition Using Reinforcement Learning

Yasaman Cheraghi, Reidar B. Bratvold, Ressi B. Muhammad, Aojie Hong
Paper presented at the SPE Europe Energy Conference and Exhibition, June 26–28, 2024
Paper Number: SPE-220046-MS
https://doi.org/10.2118/220046-MS
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Journal Articles

Reservoir Production Management With Bayesian Optimization: Achieving Robust Results in a Fraction of the Time

Peyman Kor, Aojie Hong, Reidar Bratvold
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (02): 620–640.
Paper Number: SPE-217985-PA
https://doi.org/10.2118/217985-PA
Published: 14 February 2024
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View article titled, Reservoir Production Management With Bayesian Optimization: Achieving Robust Results in a Fraction of the Time
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Journal Articles

Bayesian Deep Decline Curve Analysis: A New Approach for Well Oil Production Modeling and Forecasting

Amine Tadjer, Aojie Hong, Reidar Bratvold
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 25 (03): 568–582.
Paper Number: SPE-209616-PA
https://doi.org/10.2118/209616-PA
Published: 11 August 2022
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View article titled, Bayesian Deep Decline Curve Analysis: A New Approach for Well Oil Production Modeling and Forecasting
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Proceedings Papers

What Can We Learn After 10,000 Geosteering Decisions?

Yasaman Cheraghi, Sergey Alyaev, Aojie Hong, Igor Kuvaev, Stephen Clark, Andrei Zhuravlev, Reidar Brumer Bratvold
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722510-MS
https://doi.org/10.15530/urtec-2022-3722510
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Journal Articles

Fast Analysis of Optimal Improved-Oil-Recovery Switch Time Using a Two-Factor Production Model and Least-Squares Monte Carlo Algorithm

Aojie Hong, Reidar B. Bratvold, Larry W. Lake
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 22 (03): 1144–1160.
Paper Number: SPE-191327-PA
https://doi.org/10.2118/191327-PA
Published: 15 August 2019
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View article titled, Fast Analysis of Optimal Improved-Oil-Recovery Switch Time Using a Two-Factor Production Model and Least-Squares Monte Carlo Algorithm
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Includes: Supplementary Content
Journal Articles

Integrating Model Uncertainty in Probabilistic Decline-Curve Analysis for Unconventional-Oil-Production Forecasting

Aojie Hong, Reidar B. Bratvold, Larry W. Lake, Leopoldo M. Ruiz Maraggi
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 22 (03): 861–876.
Paper Number: SPE-194503-PA
https://doi.org/10.2118/194503-PA
Published: 05 April 2019
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View article titled, Integrating Model Uncertainty in Probabilistic Decline-Curve Analysis for Unconventional-Oil-Production Forecasting
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Proceedings Papers

Integrating Model Uncertainty in Probabilistic Decline Curve Analysis for Unconventional Oil Production Forecasting

Aojie Hong, Reidar B. Bratvold, Larry W. Lake, Leopoldo M. Ruiz Maraggi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2900625-MS
https://doi.org/10.15530/URTEC-2018-2900625
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View Paper titled, Integrating Model Uncertainty in Probabilistic Decline Curve Analysis for Unconventional Oil Production Forecasting
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Proceedings Papers

Fast Analysis of Optimal IOR Switch Time Using a Two-Factor Production Model and Least-Squares Monte Carlo Algorithm

Aojie Hong, Reidar B. Bratvold, Larry W. Lake
Paper presented at the SPE Norway One Day Seminar, April 18, 2018
Paper Number: SPE-191327-MS
https://doi.org/10.2118/191327-MS
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View Paper titled, Fast Analysis of Optimal IOR Switch Time Using a Two-Factor Production Model and Least-Squares Monte Carlo Algorithm
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