| Numerical Simulation and Modeling of Enhanced Gas Recovery and CO2 Sequestration in Shale Gas Reservoirs: A Feasibility Study A Kalantari-Dahaghi SPE international conference on CO2 capture, storage, and utilization, SPE …, 2010 | 146 | 2010 |
| Formation damage through asphaltene precipitation resulting from CO2 gas injection in Iranian carbonate reservoirs A Kalantari Dahaghi, V Gholami, J Moghadasi, R Abdi SPE Production & Operations 23 (02), 210-214, 2008 | 72 | 2008 |
| Artificial lift system optimization using machine learning applications FI Syed, M Alshamsi, AK Dahaghi, S Neghabhan Petroleum 8 (2), 219-226, 2022 | 58 | 2022 |
| Numerical trend analysis for factors affecting EOR performance and CO2 storage in tight oil reservoirs FI Syed, T Muther, VP Van, AK Dahaghi, S Negahban Fuel 316, 123370, 2022 | 57 | 2022 |
| Application of ML & AI to model petrophysical and geomechanical properties of shale reservoirs–A systematic literature review FI Syed, A AlShamsi, AK Dahaghi, S Neghabhan Petroleum 8 (2), 158-166, 2022 | 53 | 2022 |
| Modeling, history matching, forecasting and analysis of shale reservoirs performance using artificial intelligence SD Mohaghegh, O Grujic, S Zargari, M Kalantari SPE digital energy conference and exhibition, SPE-143875-MS, 2011 | 52 | 2011 |
| Smart shale gas production performance analysis using machine learning applications FI Syed, S Alnaqbi, T Muther, AK Dahaghi, S Negahban Petroleum Research 7 (1), 21-31, 2022 | 48 | 2022 |
| Laboratory to field scale assessment for EOR applicability in tight oil reservoirs FI Syed, AK Dahaghi, T Muther Petroleum Science 19 (5), 2131-2149, 2022 | 47 | 2022 |
| CO2 EOR performance evaluation in an unconventional reservoir through mechanistic constrained proxy modeling FI Syed, T Muther, AK Dahaghi, S Neghabhan Fuel 310, 122390, 2022 | 44 | 2022 |
| Numerical simulation and multiple realizations for sensitivity study of shale gas reservoir A Kalantari-Dahaghi, SD Mohaghegh SPE Oklahoma City Oil and Gas Symposium/Production and Operations Symposium …, 2011 | 40 | 2011 |
| Fractal-based real gas flow model in shales: An interplay of nano-pore and nano-fracture networks Y Li, A Kalantari-Dahaghi, A Zolfaghari, P Dong, S Negahban, D Zhou International Journal of Heat and Mass Transfer 127, 1188-1202, 2018 | 37 | 2018 |
| Coupling numerical simulation and machine learning to model shale gas production at different time resolutions A Kalantari-Dahaghi, S Mohaghegh, S Esmaili Journal of Natural Gas Science and Engineering 25, 380-392, 2015 | 36 | 2015 |
| Modeling and history matching of hydrocarbon production from Marcellus shale using data mining and pattern recognition technologies S Esmaili, A Kalantari-Dahaghi, SD Mohaghegh SPE Eastern Regional Meeting, SPE-161184-MS, 2012 | 35 | 2012 |
| Geothermal 4.0: AI-enabled geothermal reservoir development-current status, potentials, limitations, and ways forward T Muther, FI Syed, AT Lancaster, FD Salsabila, AK Dahaghi, S Negahban Geothermics 100, 102348, 2022 | 34 | 2022 |
| AI/ML assisted shale gas production performance evaluation FI Syed, T Muther, AK Dahaghi, S Negahban Journal of Petroleum Exploration and Production Technology 11 (9), 3509-3519, 2021 | 33 | 2021 |
| Formation Damage Due to Asphaltene Precipitation Resulting from CO2 Gas Injection in Iranian Carbonate Reservoirs J Moghadasi, AM Kalantari-Dahaghi, V Gholami, R Abdi SPE Europec featured at EAGE Conference and Exhibition?, SPE-99631-MS, 2006 | 33 | 2006 |
| Fast track analysis of shale numerical models A Kalantari-Dahaghi, S Esmaili, SD Mohaghegh SPE Canada Unconventional Resources Conference?, SPE-162699-MS, 2012 | 31 | 2012 |
| Socio-inspired multi-cohort intelligence and teaching-learning-based optimization for hydraulic fracturing parameters design in tight formations T Muther, FI Syed, AK Dahaghi, S Negahban Journal of Energy Resources Technology 144 (7), 073201, 2022 | 30 | 2022 |
| State of the art progress in hydraulic fracture modeling using AI/ML techniques C Sprunger, T Muther, FI Syed, AK Dahaghi, S Neghabhan Modeling Earth Systems and Environment, 1-13, 2021 | 29 | 2021 |
| Data-driven proxy at hydraulic fracture cluster level: a technique for efficient CO2-enhanced gas recovery and storage assessment in shale reservoir A Kalantari-Dahaghi, S Mohaghegh, S Esmaili Journal of Natural Gas Science and Engineering 27, 515-530, 2015 | 28 | 2015 |
