Dr. Ali Reza Khaz'ali arkhazali@iut.ac.ir Office Chemical Engineering Department- Isfahan University of Technology- Isfahan- Iran Phone +98 313 391 5625 Fax +98 313 391 2677 Positions Assistant Professor Research Interests Computational Fluid Dynamics Unconventional Reservoir Modeling Numerical Methods Reservoir Charactrization Applications of Artificial Intelligence in Petroleum/Chemical Engineering Dr. Ali Reza Khaz'ali type: Journal Title DOI type Date Experimental investigation of the effects of oil asphaltene content on CO2 foam stability in the presence of nanoparticles and sodium dodecyl sulfate 10.1016/S1876-3804(24)60020-0 Journal 2024-02 Experimental investigation and thermodynamic modeling of asphaltene precipitation during pressure depletion and gas injection at HPHT conditions in live oil using PC-SAFT EoS 10.1016/j.fluid.2022.113549 Journal 2022-11 Investigating the potential of microbial enhanced oil recovery in carbonate reservoirs using Bacillus persicus 10.1016/j.fuel.2022.126757 Journal 2022-11 Experimental and modeling study of enhanced oil recovery from carbonate reservoirs with smart water and surfactant injection # Journal 2021-07 Experimental study of microbial enhanced oil recovery in oil-wet fractured porous media # Journal 2020-09 A new generalized equation for estimation of sandstone and carbonate permeability from mercury intrusion porosimetry data 10.1007/s13202-020-00900-w Journal 2020-05 Parallel implementation of coupled phase equilibrium-mass transfer model Efficient and accurate simulation of fractured reservoirs 10.1016/j.jngse.2020.103281 Journal 2020-03 Stabilizing CO2 foams using APTES surface-modified nanosilica: Foamability, foaminess, foam stability, and transport in oil-wet fractured porous media 10.1016/j.molliq.2020.113043 Journal 2020-03 Averaging the experimental capillary pressure curves for scaling up to the reservoir condition in the imbibition process 10.1016/j.petrol.2019.106539 Journal 2020-01 Capillary-dominated two-phase flow modeling in porous media using Starfish 10.1007/s13202-018-0529-1 Journal 2018-08