| Artificial Neural Network (ANN) to estimate reservoir parameters in Naturally Fractured Reservoirs using well test data M Adibifard, SAR Tabatabaei-Nejad, E Khodapanah Journal of Petroleum Science and Engineering 122, 585-594, 2014 | 65 | 2014 |
| Experimental study of the nanoparticles effect on surfactant absorption and oil recovery in one of the Iranian oil reservoirs K Rahimi, M Adibifard Petroleum Science and Technology 33 (1), 79-85, 2015 | 43 | 2015 |
| Computational fluid dynamics to analyze the effects of initial wetting film and triple contact line on the efficiency of immiscible two-phase flow in a pore doublet model A Nabizadeh, M Adibifard, H Hassanzadeh, J Fahimpour, MK Moraveji Journal of Molecular Liquids 273, 248-258, 2019 | 27 | 2019 |
| Iterative Ensemble Kalman Filter and genetic algorithm for automatic reconstruction of relative permeability curves in the subsurface multi-phase flow M Adibifard, M Talebkeikhah, M Sharifi, A Hemmati-Sarapardeh Journal of Petroleum Science and Engineering 192, 107264, 2020 | 18 | 2020 |
| Using particle swarm optimization (PSO) algorithm in nonlinear regression well test analysis and its comparison with Levenberg-Marquardt algorithm M Adibifard, G Bashiri, E Roayaei, MA Emad International Journal of Applied Metaheuristic Computing (IJAMC) 7 (3), 1-23, 2016 | 15 | 2016 |
| A stochastic well-test analysis on transient pressure data using iterative ensemble Kalman filter H Bazargan, M Adibifard Neural Computing and Applications 31, 3227-3243, 2019 | 12 | 2019 |
| Estimation of subsurface petrophysical properties using different stochastic algorithms in nonlinear regression analysis of pressure transients ZA Aboosadi, S Rooeentan, M Adibifard Journal of Applied Geophysics 154, 93-107, 2018 | 10 | 2018 |
| A novel analytical solution to estimate residual saturation of the displaced fluid in a capillary tube by matching time-dependent injection pressure curves M Adibifard Physics of Fluids 30 (8), 2018 | 8 | 2018 |
| Experimentally investigation of the effects of nanoparticles‐enriched ASP formulations on the spontaneous imbibition in a fractured sandstone reservoir K Rahimi, M Adibifard, M Hemmati, H Shariat Panahi, S Gerami Asia‐Pacific Journal of Chemical Engineering 11 (1), 98-107, 2016 | 6 | 2016 |
| An intelligent heuristic-clustering algorithm to determine the most probable reservoir model from pressure–time series in underground reservoirs M Adibifard, A Sheidaie, M Sharifi Soft Computing 24, 15773-15794, 2020 | 3 | 2020 |
| Large-Scale Nonequilibrium Molecular Studies of Thermal Hydrate Dissociation M Adibifard, O Olorode The Journal of Physical Chemistry B 127 (29), 6543-6550, 2023 | 2 | 2023 |
| Computational Fluid Dynamics to develop novel correlations for residual saturation of the displaced fluid in a capillary tube M Adibifard, A Nabizadeh, M Sharifi Journal of Molecular Liquids 299, 112122, 2020 | 2 | 2020 |
| A new semianalytical pressure transient model to interpret well test data in reservoirs with limited extent barriers M Adibifard, M Sharifi Journal of Porous Media 21 (11), 2018 | 2 | 2018 |
| A New Method for Interpreting Well Test Data in Fractured Reservoirs: a Dual Porosity Model M Adibifard, SA Tabatabaei-Nejad, E Khodapanah Journal of Petroleum Research 25 (82), 118-131, 2015 | | 2015 |
| USING ARTIFICIAL NEURAL NETWORKS TO ESTIMATE PARAMETERS OF FRACTURED RESERVOIR FROM WELL TEST DATA M ADIBIFARD, NSAR TABATABAEI, E KHODAPANAH | | 2014 |
Mohammad SharifiAssociate Professor, Amirkabir University of TechnologyVerified email at aut.ac.ir
