| Development and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects J You, W Ampomah, Q Sun Fuel 264, 116758, 2020 | 101 | 2020 |
| Artificial intelligence applications in reservoir engineering: a status check T Ertekin, Q Sun energies 12 (15), 2897, 2019 | 94 | 2019 |
| Machine learning based co-optimization of carbon dioxide sequestration and oil recovery in CO2-EOR project J You, W Ampomah, Q Sun, EJ Kutsienyo, RS Balch, Z Dai, M Cather, ... Journal of Cleaner Production 260, 120866, 2020 | 93 | 2020 |
| Structuring an artificial intelligence based decision making tool for cyclic steam stimulation processes Q Sun, T Ertekin Journal of Petroleum Science and Engineering 154, 564-575, 2017 | 59 | 2017 |
| Assessment of CO2 trapping mechanisms in partially depleted oil-bearing sands Q Sun, W Ampomah, EJ Kutsienyo, M Appold, B Adu-Gyamfi, Z Dai, ... Fuel 278, 118356, 2020 | 55 | 2020 |
| Prediction of hydrate formation and plugging in the trial production pipes of offshore natural gas hydrates J Zhang, Q Sun, Z Wang, J Wang, X Sun, Z Liu, B Sun, J Sun Journal of Cleaner Production 316, 128262, 2021 | 40 | 2021 |
| The development of artificial-neural-network-based universal proxies to study steam assisted gravity drainage (SAGD) and cyclic steam stimulation (CSS) processes Q Sun, T Ertekin SPE Western regional meeting, SPE-174074-MS, 2015 | 39 | 2015 |
| Assessment of Enhanced Oil Recovery and CO2 Storage Capacity Using Machine Learning and Optimization Framework J You, W Ampomah, EJ Kutsienyo, Q Sun, RS Balch, WN Aggrey, ... SPE Europec featured at EAGE Conference and Exhibition?, D041S008R006, 2019 | 36 | 2019 |
| Screening and optimization of polymer flooding projects using artificial-neural-network (ANN) based proxies Q Sun, T Ertekin Journal of Petroleum Science and Engineering 185, 106617, 2020 | 35 | 2020 |
| Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework J You, W Ampomah, Q Sun Applied Energy 279, 115695, 2020 | 34 | 2020 |
| Multi-Objective Optimization of CO2 Enhanced Oil Recovery Projects Using a Hybrid Artificial Intelligence Approach J You, W Ampomah, Q Sun, EJ Kutsienyo, RS Balch, M Cather SPE Annual Technical Conference and Exhibition?, D031S043R004, 2019 | 20 | 2019 |
| A comprehensive techno-eco-assessment of CO2 enhanced oil recovery projects using a machine-learning assisted workflow J You, W Ampomah, A Morgan, Q Sun, X Huang International Journal of Greenhouse Gas Control 111, 103480, 2021 | 19 | 2021 |
| Evaluation of CO2-EOR Performance and Storage Mechanisms in an Active Partially Depleted Oil Reservoir EJ Kutsienyo, W Ampomah, Q Sun, RS Balch, J You, WN Aggrey, ... SPE Europec featured at EAGE Conference and Exhibition?, D041S008R009, 2019 | 15 | 2019 |
| Assessment of chemo-mechanical impacts of CO2 sequestration on the caprock formation in Farnsworth oil field, Texas B Adu-Gyamfi, W Ampomah, J Tu, Q Sun, S Erzuah, S Acheampong Scientific Reports 12 (1), 13023, 2022 | 14 | 2022 |
| Practical CO2—WAG Field Operational Designs Using Hybrid Numerical-Machine-Learning Approaches Q Sun, W Ampomah, J You, M Cather, R Balch Energies 14 (4), 1055, 2021 | 14 | 2021 |
| Reservoir simulation: problems and solutions T Ertekin, Q Sun, J Zhang Society of Petroleum Engineers, 2019 | 12 | 2019 |
| An improved thermal model for predicting wellbore temperature distribution in deep-water gas well H Liu, Z Wang, Q Sun, X Sun, Y Liao, B Sun Applied Thermal Engineering 205, 118029, 2022 | 10 | 2022 |
| Development and application of an artificial-neural-network based expert system for screening and optimization of polymer flooding projects Q Sun, T Ertekin SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, SPE …, 2018 | 9 | 2018 |
| A linear-rate analog approach for the analysis of natural gas transportation networks Q Sun, LF Ayala Journal of Natural Gas Science and Engineering 43, 230-241, 2017 | 9 | 2017 |
| A comprehensive techno-economic assessment of alkali–surfactant–polymer flooding processes using data-driven approaches Q Sun, T Ertekin, M Zhang, T On Energy Reports 7, 2681-2702, 2021 | 8 | 2021 |
