| On the evaluation of Alkaline‐Surfactant‐Polymer flooding in a field scale: Screening, modelling, and optimization A Azamifard, G Bashiri, S Gerami, A Hemmati‐Sarapardeh The Canadian Journal of Chemical Engineering 95 (8), 1615-1625, 2017 | 16 | 2017 |
| Evaluation of gas condensate reservoir behavior using velocity dependent relative permeability during the numerical well test analysis A Azamifard, M Hekmatzadeh, B Dabir Petroleum 2 (2), 156-165, 2016 | 9 | 2016 |
| Toward a predictive model for predicting viscosity of natural and hydrocarbon gases SH Yousefi, A Azamifard, SA Hosseini, MJ Shamsoddini, N Alizadeh Journal of Natural Gas Science and Engineering 20, 147-154, 2014 | 9 | 2014 |
| Enduring effect of permeability texture for enhancing accuracy and reducing uncertainty of reservoir fluid flow through porous media A Azamifard, F Rashidi, M pourfard, M ahmadi, B Dabir petroleum science, 2020 | 8 | 2020 |
| Toward more realistic models of reservoir by cutting-edge characterization of permeability with MPS methods and deep-learning-based selection A Azamifard, F Rashidi, M ahmadi, M pourfard, B Dabir Journal of Petroleum Science and Engineering, 2019 | 8 | 2019 |
| MPS realization selection with an innovative LSTM tool A Azamifard, M Ahmadi, F rashidi, M Pourfard, D Bahram Journal of Applied Geophysics, 2020 | 7 | 2020 |
| Effect of components composition of condensate reservoirs on well test analysis: An experimental design approach A Azamifard, SH Yousefi, F Rashidi Journal of Natural Gas Science and Engineering 18, 368-376, 2014 | 7 | 2014 |
| Constructing a unique two-phase compressibility factor model for lean gas condensates M Moayyedi, A Azamifard, A Gharesheikhlou, E Mosaferi Korean Journal of Chemical Engineering 32, 323-327, 2015 | 6 | 2015 |
| Insights of new-generation reservoir property modeling (MPS methods) in assessing the reservoir performance for different recovery methods A Azamifard, F rashidi, M Ahmadi, M Pourfard, B Dabir Arabian Journal of Geosciences 13 (7), 302, 2020 | 3 | 2020 |
| QuiltEdge: novel geostatistical workflow for heterogeneous reservoirs with an innovative combination of multi-variable image quilting and edge property concept to model … A Azamifard, M Ahmadi, F rashidi, M Pourfard, B Dabir Journal of Petroleum Science and Engineering, 2020 | 3 | 2020 |
| Analysis of Variance Application in Reservoir Simulation: A Case Study E Khamehchi, A Azamifard, BP Borj international journal of petroleum and geoscience engineering 2 (3), 266-279, 2014 | | 2014 |
bahram dabirProfessor of Chemical Engineering, Amirkabir University在 aut.ac.ir 的电子邮件经过验证
