| Implementing Radial Basis Function Networks for modeling CO2 reservoir oil minimum miscibility pressure A Tatar, A Shokrollahi, M Mesbah, S Rashid, M Arabloo, A Bahadori Journal of Natural Gas Science and Engineering 15, 82-92, 2013 | 157 | 2013 |
| Reservoir oil viscosity determination using a rigorous approach A Hemmati-Sarapardeh, A Shokrollahi, A Tatar, F Gharagheizi, ... Fuel 116, 39-48, 2014 | 141 | 2014 |
| Using surface modified clay nanoparticles to improve rheological behavior of Hydrolized Polyacrylamid (HPAM) solution for enhanced oil recovery with polymer flooding A Rezaei, M Abdi-Khangah, A Mohebbi, A Tatar, AH Mohammadi Journal of Molecular Liquids 222, 1148-1156, 2016 | 110 | 2016 |
| Experimental and modeling studies on adsorption of a nonionic surfactant on sandstone minerals in enhanced oil recovery process with surfactant flooding A Barati-Harooni, A Najafi-Marghmaleki, A Tatar, AH Mohammadi Journal of Molecular Liquids 220, 1022-1032, 2016 | 109 | 2016 |
| A comparison of performance of several artificial intelligence methods for predicting the dynamic viscosity of TiO2/SAE 50 nano-lubricant MH Esfe, A Tatar, MRH Ahangar, H Rostamian Physica E: Low-dimensional Systems and Nanostructures 96, 85-93, 2018 | 97 | 2018 |
| Prediction of carbon dioxide solubility in ionic liquids using MLP and radial basis function (RBF) neural networks A Tatar, S Naseri, M Bahadori, AZ Hezave, T Kashiwao, A Bahadori, ... Journal of the Taiwan Institute of Chemical Engineers 60, 151-164, 2016 | 73 | 2016 |
| On accurate determination of PVT properties in crude oil systems: Committee machine intelligent system modeling approach A Shokrollahi, A Tatar, H Safari Journal of the Taiwan Institute of Chemical Engineers 55, 17-26, 2015 | 68 | 2015 |
| Development of multilayer perceptron artificial neural network (MLP-ANN) and least square support vector machine (LSSVM) models to predict Nusselt number and pressure drop of … M Kahani, MH Ahmadi, A Tatar, M Sadeghzadeh Numerical Heat Transfer, Part A: Applications 74 (4), 1190-1206, 2018 | 66 | 2018 |
| Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared H Ghorbani, DA Wood, A Choubineh, A Tatar, PG Abarghoyi, M Madani, ... Petroleum 6 (4), 404-414, 2020 | 65 | 2020 |
| Experimental and modeling studies on the effects of temperature, pressure and brine salinity on interfacial tension in live oil-brine systems A Barati-Harooni, A Soleymanzadeh, A Tatar, A Najafi-Marghmaleki, ... Journal of Molecular Liquids 219, 985-993, 2016 | 62 | 2016 |
| Prediction of carbon dioxide solubility in aqueous mixture of methyldiethanolamine and N-methylpyrrolidone using intelligent models A Tatar, A Barati, A Yarahmadi, A Najafi, M Lee, A Bahadori International Journal of Greenhouse Gas Control 47, 122-136, 2016 | 61 | 2016 |
| A RBF model for predicting the pool boiling behavior of nanofluids over a horizontal rod heater T Sayahi, A Tatar, M Bahrami International Journal of Thermal Sciences 99, 180-194, 2016 | 61 | 2016 |
| Efficient estimation of hydrolyzed polyacrylamide (HPAM) solution viscosity for enhanced oil recovery process by polymer flooding A Rostami, M Kalantari-Meybodi, M Karimi, A Tatar, AH Mohammadi Oil & Gas Sciences and Technology–Revue d’IFP Energies nouvelles 73, 1-17, 2018 | 53 | 2018 |
| Applying a robust solution based on expert systems and GA evolutionary algorithm for prognosticating residual gas saturation in water drive gas reservoirs A Tatar, MR Yassin, M Rezaee, AH Aghajafari, A Shokrollahi Journal of Natural Gas Science and Engineering 21, 79-94, 2014 | 51 | 2014 |
| Performance comparison of bubble point pressure from oil PVT data: Several neurocomputing techniques compared H Ghorbani, DA Wood, A Choubineh, N Mohamadian, A Tatar, ... Experimental and Computational Multiphase Flow 2 (4), 225-246, 2020 | 49 | 2020 |
| Thermal conductivity and dynamic viscosity modeling of Fe2O3/water nanofluid by applying various connectionist approaches MH Ahmadi, A Tatar, P Seifaddini, M Ghazvini, R Ghasempour, ... Numerical Heat Transfer, Part A: Applications 74 (6), 1301-1322, 2018 | 48 | 2018 |
| Applicability of connectionist methods to predict thermal resistance of pulsating heat pipes with ethanol by using neural networks MH Ahmadi, A Tatar, MA Nazari, R Ghasempour, AJ Chamkha, WM Yan International Journal of Heat and Mass Transfer 126, 1079-1086, 2018 | 46 | 2018 |
| Prediction of reservoir brine properties using radial basis function (RBF) neural network A Tatar, S Naseri, N Sirach, M Lee, A Bahadori Petroleum 1 (4), 349-357, 2015 | 46 | 2015 |
| Accurate prediction of solubility of hydrogen in heavy oil fractions S Nasery, A Barati-Harooni, A Tatar, A Najafi-Marghmaleki, ... Journal of Molecular Liquids 222, 933-943, 2016 | 44 | 2016 |
| Comparison of two soft computing approaches for predicting CO 2 solubility in aqueous solution of piperazine A Tatar, A Barati-Harooni, A Najafi-Marghmaleki, A Mohebbi, MM Ghiasi, ... International Journal of Greenhouse Gas Control 53, 85-97, 2016 | 43 | 2016 |
Amir H. MohammadiProfessor (Full) of Chemical Engineering (BSc, MSc, MPhil, PhD, PDF, Habilitation/DSc, PD)在 ukzn.ac.za 的电子邮件经过验证
