| The impacts of aqueous ions on interfacial tension and wettability of an asphaltenic–acidic crude oil reservoir during smart water injection M Lashkarbolooki, S Ayatollahi, M Riazi Journal of Chemical & Engineering Data 59 (11), 3624-3634, 2014 | 227 | 2014 |
| Effect of salinity, resin, and asphaltene on the surface properties of acidic crude oil/smart water/rock system M Lashkarbolooki, S Ayatollahi, M Riazi Energy & fuels 28 (11), 6820-6829, 2014 | 181 | 2014 |
| Effect of salinity, resin, and asphaltene on the surface properties of acidic crude oil/smart water/rock system M Lashkarbolooki, S Ayatollahi, M Riazi Energy & fuels 28 (11), 6820-6829, 2014 | 181 | 2014 |
| Synergy effects of ions, resin, and asphaltene on interfacial tension of acidic crude oil and low–high salinity brines M Lashkarbolooki, M Riazi, S Ayatollahi, AZ Hezave Fuel 165, 75-85, 2016 | 153 | 2016 |
| Low salinity injection into asphaltenic-carbonate oil reservoir, mechanistical study M Lashkarbolooki, M Riazi, F Hajibagheri, S Ayatollahi Journal of Molecular Liquids 216, 377-386, 2016 | 151 | 2016 |
| Artificial neural network as an applicable tool to predict the binary heat capacity of mixtures containing ionic liquids M Lashkarbolooki, AZ Hezave, S Ayatollahi Fluid Phase Equilibria 324, 102-107, 2012 | 101 | 2012 |
| Comparison the capability of artificial neural network (ANN) and EOS for prediction of solid solubilities in supercritical carbon dioxide M Lashkarbolooki, B Vaferi, MR Rahimpour Fluid Phase Equilibria 308 (1-2), 35-43, 2011 | 97 | 2011 |
| Estimation of thermal conductivity of ionic liquids using a perceptron neural network AZ Hezave, S Raeissi, M Lashkarbolooki Industrial & Engineering Chemistry Research 51 (29), 9886-9893, 2012 | 96 | 2012 |
| Effects of asphaltene, resin and crude oil type on the interfacial tension of crude oil/brine solution M Lashkarbolooki, S Ayatollahi Fuel 223, 261-267, 2018 | 95 | 2018 |
| Mechanistical study of effect of ions in smart water injection into carbonate oil reservoir M Lashkarbolooki, S Ayatollahi, M Riazi Process Safety and Environmental Protection 105, 361-372, 2017 | 88 | 2017 |
| Trainable cascade-forward back-propagation network modeling of spearmint oil extraction in a packed bed using SC-CO2 M Lashkarbolooki, ZS Shafipour, AZ Hezave The Journal of Supercritical Fluids 73, 108-115, 2013 | 87 | 2013 |
| Experimental investigation of wax deposition in Kermanshah crude oil through a monitored flow loop apparatus M Lashkarbolooki, A Seyfaee, F Esmaeilzadeh, D Mowla Energy & fuels 24 (2), 1234-1241, 2010 | 80 | 2010 |
| Effect of asphaltene and resin on interfacial tension of acidic crude oil/sulfate aqueous solution: experimental study M Lashkarbolooki, S Ayatollahi Fluid Phase Equilibria 414, 149-155, 2016 | 77 | 2016 |
| Investigation of gas injection flooding performance as enhanced oil recovery method M Bayat, M Lashkarbolooki, AZ Hezave, S Ayatollahi Journal of Natural Gas Science and Engineering 29, 37-45, 2016 | 74 | 2016 |
| Using artificial neural network to predict the ternary electrical conductivity of ionic liquid systems AZ Hezave, M Lashkarbolooki, S Raeissi Fluid Phase Equilibria 314, 128-133, 2012 | 72 | 2012 |
| Investigating vapor–liquid equilibria of binary mixtures containing supercritical or near-critical carbon dioxide and a cyclic compound using cascade neural network M Lashkarbolooki, B Vaferi, A Shariati, AZ Hezave Fluid Phase Equilibria 343, 24-29, 2013 | 70 | 2013 |
| Solubility of ketoprofen in supercritical carbon dioxide MA Sabegh, H Rajaei, F Esmaeilzadeh, M Lashkarbolooki The Journal of Supercritical Fluids 72, 191-197, 2012 | 62 | 2012 |
| Use of artificial neural networks for prediction of phase equilibria in the binary system containing carbon dioxide M Lashkarbolooki, ZS Shafipour, AZ Hezave, H Farmani The Journal of Supercritical Fluids 75, 144-151, 2013 | 60 | 2013 |
| Experimental investigation of the influence of supercritical carbon dioxide and supercritical nitrogen injection on tertiary live-oil recovery M Lashkarbolooki, A Vaezian, AZ Hezave, S Ayatollahi, M Riazi The Journal of Supercritical Fluids 117, 260-269, 2016 | 58 | 2016 |
| Using artificial neural network to predict the pressure drop in a rotating packed bed M Lashkarbolooki, B Vaferi, D Mowla Separation Science and Technology 47 (16), 2450-2459, 2012 | 55 | 2012 |
Masoud RiaziAssociate Professor, Nazarbayev UniversityZweryfikowany adres z nu.edu.kz
