| Fatty acid methyl ester (FAME) composition used for estimation of biodiesel cetane number employing random forest and artificial neural networks: a new approach SMR Miraboutalebi, P Kazemi, P Bahrami Fuel 166, 143-151, 2016 | 96 | 2016 |
| A comprehensive data mining approach to estimate the rate of penetration: Application of neural network, rule based models and feature ranking S Eskandarian, P Bahrami, P Kazemi Journal of Petroleum Science and Engineering 156, 605-615, 2017 | 91 | 2017 |
| Comprehensive Water–Alternating-Gas (WAG) injection study to evaluate the most effective method based on heavy oil recovery and asphaltene precipitation tests Y Ahmadi, SE Eshraghi, P Bahrami, M Hasanbeygi, Y Kazemzadeh, ... Journal of Petroleum Science and Engineering 133, 123-129, 2015 | 76 | 2015 |
| A novel approach for modeling and optimization of surfactant/polymer flooding based on Genetic Programming evolutionary algorithm P Bahrami, P Kazemi, S Mahdavi, H Ghobadi Fuel 179, 289-298, 2016 | 38 | 2016 |
| Experimental study and performance investigation of miscible water-alternating-CO2 flooding for enhancing oil recovery in the Sarvak formation V Rahimi, M Bidarigh, P Bahrami Oil & Gas Sciences and Technology–Revue d’IFP Energies nouvelles 72 (6), 35, 2017 | 33 | 2017 |
| Prediction of the gas injection effect on the asphaltene phase envelope P Bahrami, R Kharrat, S Mahdavi, H Firoozinia Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 70 (6), 1075 …, 2015 | 29 | 2015 |
| Asphaltene laboratory assessment of a heavy onshore reservoir during pressure, temperature and composition variations to predict asphaltene onset pressure P Bahrami, R Kharrat, S Mahdavi, Y Ahmadi, L James Korean Journal of Chemical Engineering 32 (2), 316-322, 2015 | 29 | 2015 |
| The effect of temperature and pressure on the reversibility of asphaltene precipitation Y Ahmadi, R Kharrat, A Hashemi, P Bahrami, S Mahdavi Petroleum science and technology 32 (18), 2263-2273, 2014 | 19 | 2014 |
| A review of proxy modeling highlighting applications for reservoir engineering P Bahrami, F Sahari Moghaddam, LA James Energies 15 (14), 5247, 2022 | 17 | 2022 |
| Screening of waterflooding using smart proxy model coupled with deep convolutional neural network P Bahrami, LA James Geoenergy Science and Engineering 221, 111300, 2023 | 5 | 2023 |
| Field Production Optimization Using Smart Proxy Modeling; Implementation of Sequential Sampling, Average Feature Ranking, and Convolutional Neural Network P Bahrami, LA James SPE Canadian Energy Technology Conference, D011S012R001, 2023 | 2 | 2023 |
| Analysis of the influence of temperature and gas injection on the onset of asphaltene precipitation using a response surface methodology approach P Bahrami, P Kazemi, V Rahimi Chemical Engineering Communications 204 (2), 149-157, 2017 | 2 | 2017 |
| Prévision de l’effet d’injection de gaz sur l’enveloppe de phase des asphaltènes P Bahrami, R Kharrat, S Mahdavi, H Firoozinia Oil & gas science and technology 70 (6), 1075-1086, 2015 | 1 | 2015 |
| Production screening and optimization using smart proxy modeling P Bahrami Memorial University of Newfoundland, 2023 | | 2023 |
pezhman kazemiResearch Associate at University of ManchesterVerified email at manchester.ac.uk
