| Machine learning based decline curve analysis for short-term oil production forecast A Tadjer, A Hong, RB Bratvold Energy Exploration & Exploitation 39 (5), 1747-1769, 2021 | 45 | 2021 |
| A decision support system for multi-target geosteering S Alyaev, E Suter, RB Bratvold, A Hong, X Luo, K Fossum Journal of Petroleum Science and Engineering 183, 106381, 2019 | 39 | 2019 |
| Integrating model uncertainty in probabilistic decline-curve analysis for unconventional-oil-production forecasting A Hong, RB Bratvold, LW Lake, LM Ruiz Maraggi SPE Reservoir Evaluation & Engineering 22 (03), 861-876, 2019 | 34 | 2019 |
| Future trends for tight oil exploitation K Zhang, K Sebakhy, K Wu, G Jing, N Chen, Z Chen, A Hong, O Torsæter SPE North Africa Technical Conference and Exhibition, D021S017R003, 2015 | 32 | 2015 |
| Robust production optimization with capacitance-resistance model as precursor AJ Hong, RB Bratvold, G Nævdal Computational Geosciences 21 (5), 1423-1442, 2017 | 29 | 2017 |
| CO2 Near-Miscible Flooding for Tight Oil Exploitation K Zhang, ME Perdomo, B Kong, KO Sebakhy, K Wu, G Jing, J Han, X Lu, ... SPE Asia Pacific Unconventional Resources Conference and Exhibition, SPE …, 2015 | 20 | 2015 |
| Nanofluid alternating gas for tight oil exploitation K Zhang, Y Li, A Hong, K Wu, G Jing, O Torsæter, S Chen, Z Chen SPE Asia Pacific Oil and Gas Conference and Exhibition, SPE-176241-MS, 2015 | 18 | 2015 |
| Value-of-information for model parameter updating through history matching AJ Hong, RB Bratvold, P Thomas, RG Hanea Journal of Petroleum Science and Engineering 165, 253-268, 2018 | 14 | 2018 |
| Integrated Method to Screen Tight Oil Reservoirs for CO2 Flooding K Zhang, T Qin, K Wu, G Jing, J Han, A Hong, J Zhang, S Chen, Z Chen SPE Canada Unconventional Resources Conference?, D031S010R007, 2015 | 14 | 2015 |
| Bayesian deep decline curve analysis: A new approach for well oil production modeling and forecasting A Tadjer, A Hong, R Bratvold SPE Reservoir Evaluation & Engineering 25 (03), 568-582, 2022 | 13 | 2022 |
| A sequential decision and data analytics framework for maximizing value and reliability of CO2 storage monitoring A Tadjer, A Hong, RB Bratvold Journal of Natural Gas Science and Engineering 96, 104298, 2021 | 13 | 2021 |
| Fast analysis of optimal improved-oil-recovery switch time using a two-factor production model and least-squares Monte Carlo algorithm A Hong, RB Bratvold, LW Lake SPE Reservoir Evaluation & Engineering 22 (03), 1144-1160, 2019 | 13 | 2019 |
| Are you myopic, naïve or farsighted about your geosteering decisions? S Alyaev, A Hong, RB Bratvold Second EAGE/SPE Geosteering and Well Placement Workshop 2018 (1), 1-5, 2018 | 6 | 2018 |
| Application of machine learning to assess the value of information in polymer flooding A Tadjer, RB Bratvold, A Hong, R Hanea Petroleum Research 6 (4), 309-320, 2021 | 4 | 2021 |
| What can we learn after 10,000 geosteering decisions? Y Cheraghi, S Alyaev, A Hong, I Kuvaev, S Clark, A Zhuravlev, ... SPE/AAPG/SEG Unconventional Resources Technology Conference, D021S022R002, 2022 | 3 | 2022 |
| Reservoir Production Management With Bayesian Optimization: Achieving Robust Results in a Fraction of the Time P Kor, A Hong, R Bratvold SPE Journal 29 (02), 620-640, 2024 | 2 | 2024 |
| Managing Geological Uncertainty with Decision Analysis in Reservoir Management A Hong PhD Dissertation. University of Stavanger, Stavanger, Norway, 2017 | 2 | 2017 |
| Value Creation in Sustainable Energy Transition Using Reinforcement Learning Y Cheraghi, RB Bratvold, RB Muhammad, A Hong SPE Europec featured at EAGE Conference and Exhibition?, D012S022R002, 2024 | | 2024 |
| Errata for Fast Analysis of Optimal Improved-Oil-Recovery Switch Time Using a Two-Factor Production Model and Least-Squares Monte Carlo Algorithm A Hong, RB Bratvold, LW Lake SPE Reservoir Evaluation & Engineering, 2019 | | 2019 |
| Value of Information from History Matching-How Much Information is Enough? AJ Hong, RB Bratvold IOR 2017-19th European Symposium on Improved Oil Recovery 2017 (1), 1-15, 2017 | | 2017 |
