Dr Alireza Baghban
Amirkabir University of Technology
Research Associate, Chemical Engineering
Iran
My co-authors include
Dr Zainal Ahmad
reza eghtedaei
Mohamadtaghi Rahimi
My Publications
Rigorous model for determination of PVT properties of crude oil in operational conditions
Energy Sources Part A Recovery Utilization and Environmental Effects
October 2019
On the estimation of higher heating value of municipal wastes using soft computing appr...
Energy Sources Part A Recovery Utilization and Environmental Effects
July 2019
QSPR based ANFIS model for predicting standard molar chemical exergy of organic materials
Petroleum Science and Technology
June 2019
On the prediction of solubility of alkane in carbon dioxide using the LSSVM algorithm
Petroleum Science and Technology
March 2019
Modeling vaporization enthalpy of pure hydrocarbons and petroleum fractions using LSSVM...
Energy Sources Part A Recovery Utilization and Environmental Effects
March 2019
Application of ANFIS and LSSVM strategies for estimating thermal conductivity enhanceme...
Engineering Applications of Computational Fluid Mechanics
January 2019
Application of a supervised learning machine for accurate prognostication of higher hea...
Energy Sources Part A Recovery Utilization and Environmental Effects
February 2018
Modeling of CO2-brine interfacial tension: Application to enhanced oil recovery
Petroleum Science and Technology
November 2017
Asphaltene deposition during flow through pipes: Parametric and inhibition analyses
Petroleum Science and Technology
November 2017
Estimating water content of natural gas: A radial basis function neural network method
Petroleum Science and Technology
September 2017
Kinetic modeling and laboratory investigation of catalytic toluene methylation to para-...
Petroleum Science and Technology
September 2017
Viscosity estimation of mixed oil using RBF-ANN approach
Petroleum Science and Technology
September 2017
Estimation of wax deposition in the oil production units using RBF-ANN strategy
Petroleum Science and Technology
September 2017
Radial basis function artificial neural network model to estimate higher heating value ...
Energy Sources Part A Recovery Utilization and Environmental Effects
August 2017
Prediction of solubility of ammonia in liquid electrolytes using Least Square Support V...
Ain Shams Engineering Journal
September 2016
Phase equilibrium modelling of natural gas hydrate formation conditions using LSSVM app...
Petroleum Science and Technology
August 2016
Application of the ANFIS strategy to estimate vaporization enthalpies of petroleum frac...
Petroleum Science and Technology
August 2016
Modelling of CO2separation from gas streams emissions in the oil and gas industries
Petroleum Science and Technology
July 2016
Estimation of oil and gas properties in petroleum production and processing operations ...
Petroleum Science and Technology
July 2016
Computational intelligent strategies to predict energy conservation benefits in excess ...
Applied Thermal Engineering
June 2016
Modeling of true vapor pressure of petroleum products using ANFIS algorithm
Petroleum Science and Technology
May 2016
Estimation of natural gases water content using adaptive neuro-fuzzy inference system
Petroleum Science and Technology
May 2016
Modelling of gas to hydrate conversion for promoting CO2capture processes in the oil an...
Petroleum Science and Technology
April 2016
Evolving machine learning models to predict hydrogen sulfide solubility in the presence...
Journal of Molecular Liquids
April 2016
Estimation of air dew point temperature using computational intelligence schemes
Applied Thermal Engineering
January 2016
Evolving simple-to-apply models for estimating thermal conductivity of supercritical CO2
International Journal of Ambient Energy
October 2015
Phase equilibrium modeling of semi-clathrate hydrates of seven commonly gases in the pr...
The Journal of Supercritical Fluids
June 2015
Prediction carbon dioxide solubility in presence of various ionic liquids using computa...
The Journal of Supercritical Fluids
March 2015
Estimating hydrogen sulfide solubility in ionic liquids using a machine learning approach
The Journal of Supercritical Fluids
November 2014