| DeePore: A deep learning workflow for rapid and comprehensive characterization of porous materials A Rabbani, M Babaei, R Shams, Y Da Wang, T Chung Advances in Water Resources 146, 103787, 2020 | 73 | 2020 |
| Coupled generative adversarial and auto-encoder neural networks to reconstruct three-dimensional multi-scale porous media R Shams, M Masihi, RB Boozarjomehry, MJ Blunt Journal of Petroleum Science and Engineering 186, 106794, 2020 | 73 | 2020 |
| Appraising the impacts of SiO2, ZnO and TiO2 nanoparticles on rheological properties and shale inhibition of water-based drilling muds AE Bayat, R Shams Colloids and Surfaces A: Physicochemical and Engineering Aspects 581, 123792, 2019 | 62 | 2019 |
| Non-Newtonian fluid flow dynamics in rotating annular media: Physics-based and data-driven modeling R Ershadnia, MA Amooie, R Shams, S Hajirezaie, Y Liu, S Jamshidi, ... Journal of Petroleum Science and Engineering 185, 106641, 2020 | 46 | 2020 |
| New correlations for predicting pure and impure natural gas viscosity M Izadmehr, R Shams, MH Ghazanfari Journal of Natural Gas Science and Engineering 30, 364-378, 2016 | 24 | 2016 |
| Review of data science trends and issues in porous media research with a focus on image‐based techniques A Rabbani, AM Fernando, R Shams, A Singh, P Mostaghimi, M Babaei Water Resources Research 57 (10), e2020WR029472, 2021 | 23 | 2021 |
| A hybrid of statistical and conditional generative adversarial neural network approaches for reconstruction of 3D porous media (ST-CGAN) R Shams, M Masihi, RB Boozarjomehry, MJ Blunt Advances in Water Resources 158, 104064, 2021 | 18 | 2021 |
| An intelligent modeling approach for prediction of thermal conductivity of CO2 R Shams, S Esmaili, S Rashid, M Suleymani Journal of Natural Gas Science and Engineering 27, 138-150, 2015 | 18 | 2015 |
| Pore level characterization of Micro-CT images using percolation theory M Masihi, R Shams, PR King Journal of Petroleum Science and Engineering 211, 110113, 2022 | 13 | 2022 |
| Experimental investigation of two phase flow in horizontal wells: Flow regime assessment and pressure drop analysis R Shams, A Tavakoli, S Shad Experimental Thermal and Fluid Science 88, 55-64, 2017 | 13 | 2017 |
| A robust modeling approach for predicting the rheological behavior of thixotropic fluids MV Farahani, R Shams, S Jamshidi 80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018 | 10 | 2018 |
| Experimental study of two-phase oil–polymer flow in horizontal flow path R Shams, S Shad Experimental Thermal and Fluid Science 100, 62-75, 2019 | 8 | 2019 |
| Application of the modified capacitance-resistance method to model reservoir pressure maintenance A Lesan, R Shams, P Pourafshary, A Bahrodi, H Rastkerdar Results in Engineering 19, 101231, 2023 | 1 | 2023 |
| Reducing Uncertainties in Thin Section Characterization using Deep Learning R Shams, M Masihi, RB Boozarjomehry, MJ Blunt The International Rock Imaging Summit - 2021, 2021 | | 2021 |
| Reconstruction of Multi-Scale Carbonate Porous Media using Multi-point Statistics and Auto-Encoder Deep Neural Network R Shams, M Masihi, R Bozorgmehry Boozarjomehry, MJ Blunt The 11th International Chemical Engineering Congress & Exhibition (IChEC 2020), 2020 | | 2020 |
| Experimental Investigation of Two Phase Flow in Horizontal Pipes: Oil-Water and Oil-Polymer, Flow Regime Assessment and Pressure Drop Modification R Shams, S Shad 22nd World Petroleum Congress, 2017 | | 2017 |
| Results in Engineering A Lesan, R Shams, P Pourafshary, A Bahrodi, H Rastkerdar | | |
mohsen masihiProfessor of Petroleum Engineering, Sharif University of TechnologyVerified email at sharif.edu
