| An efficient drift-flux closure relationship to estimate liquid holdups of gas-liquid two-phase flow in pipes J Choi, E Pereyra, C Sarica, C Park, JM Kang Energies 5 (12), 5294-5306, 2012 | 137 | 2012 |
| A new automated scheme of quadrilateral mesh generation for randomly distributed line constraints C Park, JS Noh, IS Jang, JM Kang Computer-Aided Design 39 (4), 258-267, 2007 | 48 | 2007 |
| Well-placement optimisation using sequential artificial neural networks I Jang, S Oh, Y Kim, C Park, H Kang Energy Exploration & Exploitation 36 (3), 433-449, 2018 | 45 | 2018 |
| Pareto-based multi-objective history matching with respect to individual production performance in a heterogeneous reservoir B Min, JM Kang, S Chung, C Park, I Jang Journal of Petroleum Science and Engineering 122, 551-566, 2014 | 45 | 2014 |
| Optimal well placement based on artificial neural network incorporating the productivity potential BH Min, C Park, JM Kang, HJ Park, IS Jang Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 33 …, 2011 | 44 | 2011 |
| Experimental analysis to design optimum phase type and salinity gradient of alkaline surfactant polymer flooding at low saline reservoir SS Riswati, W Bae, C Park, AK Permadi, I Efriza, B Min Journal of Petroleum Science and Engineering 173, 1005-1019, 2019 | 39 | 2019 |
| Ensemble-based data assimilation in reservoir characterization: A review S Jung, K Lee, C Park, J Choe Energies 11 (2), 445, 2018 | 31 | 2018 |
| Horizontal well design incorporated with interwell interference, drilling location, and trajectory for the recovery optimization JW Lee, C Park, JM Kang, CK Jeong SPE Reservoir Characterisation and Simulation Conference and Exhibition …, 2009 | 26 | 2009 |
| Experimental characterization of production behavior accompanying the hydrate reformation in methane hydrate bearing sediments T Ahn, C Park, JH Lee, JM Kang, HT Nguyen Journal of Canadian Petroleum Technology 51 (1), 14-19, 2012 | 24 | 2012 |
| Estimation of future production performance based on multi-objective history matching in a waterflooding project YM Han, C Park, JM Kang SPE Europec featured at EAGE Conference and Exhibition?, SPE-130500-MS, 2010 | 22 | 2010 |
| An optimal operation strategy of injection pressures in solvent-aided thermal recovery for viscous oil in sedimentary reservoirs D Kam, C Park, B Min, JM Kang Petroleum Science and Technology 31 (22), 2378-2387, 2013 | 21 | 2013 |
| Experimental investigation of methane hydrate reformation under dissociation process T Ahn, JM Kang, J Lee, C Park International Journal of Offshore and Polar Engineering 20 (1), 68-71, 2010 | 21 | 2010 |
| Efficient deep-learning-based history matching for fluvial channel reservoirs S Jo, H Jeong, B Min, C Park, Y Kim, S Kwon, A Sun Journal of Petroleum Science and Engineering 208, 109247, 2022 | 20 | 2022 |
| Data-driven inverse modeling with a pre-trained neural network at heterogeneous channel reservoirs S Ahn, C Park, J Kim, JM Kang Journal of Petroleum Science and Engineering 170, 785-796, 2018 | 20 | 2018 |
| Development of Pareto-based evolutionary model integrated with dynamic goal programming and successive linear objective reduction B Min, C Park, I Jang, JM Kang, S Chung Applied Soft Computing 35, 75-112, 2015 | 20 | 2015 |
| Prediction of nonlinear production performance in waterflooding project using a multi-objective evolutionary algorithm Y Han, C Park, JM Kang Energy Exploration & Exploitation 29 (2), 129-142, 2011 | 20 | 2011 |
| Development of a robust multi-objective history matching for reliable well-based production forecasts B Min, JM Kang, H Lee, S Jo, C Park, I Jang Energy Exploration & Exploitation 34 (6), 795-809, 2016 | 19 | 2016 |
| Construction of prior models for ES-MDA by a deep neural network with a stacked autoencoder for predicting reservoir production J Kim, S Kim, C Park, K Lee Journal of Petroleum Science and Engineering 187, 106800, 2020 | 18 | 2020 |
| Surrogate model with a deep neural network to evaluate gas–liquid flow in a horizontal pipe Y Seong, C Park, J Choi, I Jang Energies 13 (4), 968, 2020 | 18 | 2020 |
| Multi-objective history matching with a proxy model for the characterization of production performances at the shale gas reservoir J Kim, JM Kang, C Park, Y Park, J Park, S Lim Energies 10 (4), 579, 2017 | 16 | 2017 |
Cem SaricaThe University of TulsaVerified email at utulsa.edu
