Mostafa Lashkarbolooki

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	All	Since 2019
Citations	3408	2355
h-index	36	29
i10-index	70	65

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201220132014201520162017201820192020202120222023202418 91 116 115 155 221 312 337 465 388 475 503 187

Co-authors

Masoud RiaziAssociate Professor, Nazarbayev UniversityVerified email at nu.edu.kz
Dariush MowlaProfessor in Chemical Engineering ,Shiraz University, Shiraz, IranVerified email at shirazu.ac.ir
Behzad VaferiAssociate Professor of Chemical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, IranVerified email at iau.ac.ir
Sona RaeissiShiraz UniversityVerified email at shirazu.ac.ir
Alireza ShariatiProfessor of Chemical Engineering, Shiraz University, Shiraz, IranVerified email at shirazu.ac.ir
Mohammad Reza Rahimpour (M.R. R...Shiraz UniversityVerified email at shirazu.ac.ir
Shahab AyatollahiProfessor, School of Chemical and Petroleum Engineering, Sharif University of Technology, TehranVerified email at sharif.edu
Hamid RajaeiHamid Rajaei Rizi is a conducting research about the philosophy of Science in a research institutionVerified email at mailfa.com

Mostafa Lashkarbolooki

Associate Professor of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran

Verified email at nit.ac.ir

Enhanced Oil Recovery Surface Phenomena Wettability Artificial Intelligence Supercritical Fluid


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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	225	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	178	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	178	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	152	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	93	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	86	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	73	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	57	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

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