| Integrating well log interpretations for lithofacies classification and permeability modeling through advanced machine learning algorithms WJ Al-Mudhafar Journal of Petroleum Exploration and Production Technology 7 (4), 1023-1033, 2017 | 142 | 2017 |
| Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers HV Thanh, Q Yasin, WJ Al-Mudhafar, KK Lee Applied Energy 314, 118985, 2022 | 53 | 2022 |
| Integrating machine learning and data analytics for geostatistical characterization of clastic reservoirs WJ Al-Mudhafar Journal of Petroleum Science and Engineering 195, 107837, 2020 | 51 | 2020 |
| Incorporation of bootstrapping and cross-validation for efficient multivariate facies and petrophysical modeling WJ Al-Mudhafar SPE Rocky Mountain Petroleum Technology Conference/Low-Permeability …, 2016 | 46 | 2016 |
| Reservoir Flow Simulation Study for a Sector in Main Pay-South Rumaila Oil Field WJ Mohammed, MS Al Jawad, DA Al-Shamaa SPE Oil and Gas India Conference & Exhibition, Mumbai, India, 2010 | 43 | 2010 |
| Multiple-Point Geostatistical Lithofacies Simulation of Fluvial Sand-Rich Depositional Environment: A Case Study from Zubair Formation/South Rumaila Oil Field WJ Al-Mudhafar SPE Reservoir Evaluation & Engineering 21 (01), 39-53, 2017 | 39 | 2017 |
| Integrating kernel support vector machines for efficient rock facies classification in the main pay of Zubair formation in South Rumaila oil field, Iraq WJ Al-Mudhafar Modeling Earth Systems and Environment 3 (12), 1-8, 2017 | 38 | 2017 |
| Performance evaluation of boosting machine learning algorithms for lithofacies classification in heterogeneous carbonate reservoirs WJ Al-Mudhafar, MA Abbas, DA Wood Marine and Petroleum Geology 145, 105886, 2022 | 35 | 2022 |
| Integrating K-means clustering analysis and generalized additive model for efficient reservoir characterization WJM Al-Mudhafar, MA Bondarenko 77th EAGE Conference and Exhibition, 2015 | 35 | 2015 |
| Statistical reservoir characterization, simulation, and optimization of field scale-gas assisted gravity drainage (GAGD) process with uncertainty assessments WJM Al-Mudhafar Louisiana State University, 2016 | 34 | 2016 |
| From Coreflooding and Scaled Physical Model Experiments to Field-Scale EOR Evaluations: Comprehensive Review of the Gas-Assisted Gravity Drainage (GAGD) Process WJ Al-Mudhafar Energy & Fuels 32 (11), 11067–11079, 2018 | 33* | 2018 |
| Polynomial and nonparametric regressions for efficient predictive proxy metamodeling: Application through the CO2-EOR in shale oil reservoirs WJ Al-Mudhafar Journal of Natural Gas Science and Engineering 72, 103038, 2019 | 32 | 2019 |
| Lessons learned from the field-scale simulation of the gas-assisted gravity drainage GAGD process in heterogeneous sandstone oil reservoirs WJ Al-Mudhafar, D Rao SPE Western Regional Meeting, D031S006R002, 2017 | 32 | 2017 |
| Proxy-based metamodeling optimization of the gas-assisted gravity drainage GAGD process in heterogeneous sandstone reservoirs WJ Al-Mudhafar, DN Rao SPE Western Regional Meeting, 2017 | 31* | 2017 |
| Robust Optimization of Cyclic CO2 flooding through the Gas-Assisted Gravity Drainage process under geological uncertainties WJ Al-Mudhafar, DN Rao, S Srinivasan Journal of Petroleum Science and Engineering 166, 490-509, 2018 | 30 | 2018 |
| Geostatistical lithofacies modeling of the upper sandstone member/Zubair formation in south Rumaila oil field, Iraq WJ Al-Mudhafar Arabian Journal of Geosciences 10, 1-14, 2017 | 30* | 2017 |
| Clustering Analysis for Improved Characterization of Carbonate Reservoirs in a Southern Iraqi Oil Field WJ Al-Mudhafar, EM Al Lawe, CI Noshi Offshore Technology Conference, 2019 | 29* | 2019 |
| Bayesian kriging for reproducing reservoir heterogeneity in a tidal depositional environment of a sandstone formation WJ Al-Mudhafar Journal of Applied Geophysics 160, 84-102, 2019 | 27 | 2019 |
| Integrating lithofacies and well logging data into smooth generalized additive model for improved permeability estimation: Zubair formation, South Rumaila oil field WJ Al-Mudhafar Marine Geophysical Researches, 2018 | 27 | 2018 |
| Reservoir sensitivity analysis for heterogeneity and anisotropy effects quantification through the cyclic CO2-Assisted Gravity Drainage EOR process–A case study from South … WJ Al-Mudhafar, DN Rao, S Srinivasan Fuel 221, 455-468, 2018 | 27 | 2018 |
Dandina N. RaoProfessor of Petroleum Engineering, Louisiana State University在 lsu.edu 的电子邮件经过验证
