Abdolhossein Hemmati-Sarapardeh عبدالحسین همتی سراپرده

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Amir H. MohammadiProfessor (Full) of Chemical Engineering (BSc, MSc, MPhil, PhD, PDF, Habilitation/DSc, PD)Verified email at ukzn.ac.za
Saeid AtashrouzAmirkabir University of Technology (Tehran Polytechnic)Verified email at aut.ac.ir
Mahin SchaffieProfessor of Chemical & Petroleum Engineering, Shahid Bahonar University of KermanVerified email at uk.ac.ir
Mohammad-Reza MohammadiPhD CandidateVerified email at eng.uk.ac.ir
Maen HuseinUniversity of CalgaryVerified email at ucalgary.ca
Mohammad RanjbarProfessor of Mining & Petroleum Engineering, Shahid Bahonar University of Kerman, IranVerified email at uk.ac.ir
Aydin LarestaniPh.D. Candidate at Shahid Bahonar University of KermanVerified email at eng.uk.ac.ir
bahram dabirProfessor of Chemical Engineering, Amirkabir UniversityVerified email at aut.ac.ir
Mehdi OstadhassanCAU: Kiel UniversityVerified email at ifg.uni-kiel.de
Shahab AyatollahiProfessor, School of Chemical and Petroleum Engineering, Sharif University of TechnologyVerified email at sharif.edu
Sassan HajirezaiePhD student, Princeton UniversityVerified email at princeton.edu
Alireza RostamiDepartment of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, IranVerified email at afp.put.ac.ir
Saeid Norouzi-ApourvariShahid Bahonar University of KermanVerified email at uk.ac.ir
Forough AmeliAssistant Professor at Iran university of science and technologyVerified email at iust.ac.ir
Amir VarameshPhD, University of CalgaryVerified email at ucalgary.ca
Mohammad Hossein GhazanfariSharif University of TechnologyVerified email at sharif.edu
Farzaneh RezaeiPh.D. Candidate, Department of Petroleum Engineering, Amirkabir University of TechnologyVerified email at aut.ac.ir
Behnam Amiri-RamshehMS.c of Petroleum engineering, Shahid Bahonar University of KermanVerified email at eng.uk.ac.ir
Mohammad SharifiProfessor, Amirkabir University of TechnologyVerified email at aut.ac.ir
Amir MosaviObuda UniversityVerified email at uni-obuda.hu

Abdolhossein Hemmati-Sarapardeh عبدالحسین همتی سراپرده

Associate Professor, Department of Petroleum Engineering, Shahid Bahonar University of Kerman

Verified email at uk.ac.ir - Homepage

Interfacial phenomena EOR Asphaltene Machine Learning Nano


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Toward Mechanistic Understanding of Heavy Crude Oil/Brine Interfacial Tension: the Roles of Salinity, Temperature and Pressure F Moeini, A Hemmati-Sarapardeh, MH Ghazanfari, M Masihi, S Ayatollahi Fluid Phase Equilibria 375, 191-200, 2014	308	2014
On the evaluation of the viscosity of nanofluid systems: Modeling and data assessment A Hemmati-Sarapardeh, A Varamesh, MM Husein, K Karan Renewable and Sustainable Energy Reviews 81, 313-329, 2018	229	2018
Experimental Determination of Interfacial Tension and Miscibility of the CO2–Crude Oil System; Temperature, Pressure, and Composition Effects A Hemmati-Sarapardeh, S Ayatollahi, MH Ghazanfari, M Masihi Journal of Chemical & Engineering Data 59, 61-69, 2014	214	2014
Toward mechanistic understanding of natural surfactant flooding in enhanced oil recovery processes: the role of salinity, surfactant concentration and rock type SJD Sofla, M Sharifi, AH Sarapardeh Journal of Molecular Liquids 222, 632-639, 2016	152	2016
Toward a predictive model for estimating viscosity of ternary mixtures containing ionic liquids M Hosseinzadeh, A Hemmati-Sarapardeh Journal of Molecular Liquids 200, 340-348, 2014	149	2014
Reservoir oil viscosity determination using a rigorous approach A Hemmati-Sarapardeh, A Shokrollahi, A Tatar, F Gharagheizi, ... Fuel 116, 39-48, 2014	146	2014
Toward mechanistic understanding of asphaltene aggregation behavior in toluene: The roles of asphaltene structure, aging time, temperature, and ultrasonic radiation A Hemmati-Sarapardeh, B Dabir, M Ahmadi, AH Mohammadi, MM Husein Journal of Molecular Liquids 264, 410-424, 2018	126	2018
Predicting solubility of CO2 in brine by advanced machine learning systems: Application to carbon capture and sequestration NA Menad, A Hemmati-Sarapardeh, A Varamesh, S Shamshirband Journal of CO2 Utilization 33, 83-95, 2019	124	2019
Asphaltene precipitation due to natural depletion of reservoir: Determination using a SARA fraction based intelligent model A Hemmati-Sarapardeh, R Alipour-Yeganeh-Marand, A Naseri, ... Fluid Phase Equilibria 354, 177-184, 2013	116	2013
Toward reservoir oil viscosity correlation A Hemmati-Sarapardeh, M Khishvand, A Naseri, AH Mohammadi Chemical Engineering Science 90, 53-68, 2013	111	2013
Application of adaptive neuro fuzzy interface system optimized with evolutionary algorithms for modeling CO2-crude oil minimum miscibility pressure A Karkevandi-Talkhooncheh, S Hajirezaie, A Hemmati-Sarapardeh, ... Fuel 205, 34-45, 2017	107	2017
Prediction of sour gas compressibility factor using an intelligent approach A Kamari, A Hemmati-Sarapardeh, SM Mirabbasi, M Nikookar, ... Fuel Processing Technology 116, 209-216, 2013	99	2013
Modeling minimum miscibility pressure during pure and impure CO 2 flooding using hybrid of radial basis function neural network and evolutionary techniques A Karkevandi-Talkhooncheh, A Rostami, A Hemmati-Sarapardeh, ... Fuel 220, 270-282, 2018	92	2018
Modeling CO₂ Solubility in Water at High Pressure and Temperature Conditions A Hemmati-Sarapardeh, MN Amar, MR Soltanian, Z Dai, X Zhang Energy & Fuels 34 (4), 4761-4776, 2020	91	2020
Application of constrained multi-variable search methods for prediction of PVT properties of crude oil systems M Arabloo, MA Amooie, A Hemmati-Sarapardeh, MH Ghazanfari, ... Fluid Phase Equilibria 363, 121-130, 2014	85	2014
Accurate determination of the CO₂‐crude oil minimum miscibility pressure of pure and impure CO₂ streams: A robust modelling approach A Hemmati‐Sarapardeh, MH Ghazanfari, S Ayatollahi, M Masihi The Canadian Journal of Chemical Engineering 94 (2), 253-261, 2016	82	2016
Modeling hydrogen solubility in hydrocarbons using extreme gradient boosting and equations of state MR Mohammadi, F Hadavimoghaddam, M Pourmahdi, S Atashrouz, ... Scientific reports 11 (1), 17911, 2021	81	2021
Effect of operational parameters on SAGD performance in a dip heterogeneous fractured reservoir H Hashemi-Kiasari, A Hemmati-Sarapardeh, S Mighani, AH Mohammadi, ... Fuel 122, 82-93, 2014	79	2014
Applications of Artificial Intelligence Techniques in the Petroleum Industry A Hemmati-Sarapardeh, A Larestani, NA Menad, S Hajirezaie (Gulf Professional Publishing (Elsevier, 2020	78	2020
Integrating synthesized citric acid-coated magnetite nanoparticles with magnetic fields for enhanced oil recovery: Experimental study and mechanistic understanding H Divandari, A Hemmati-Sarapardeh, M Schaffie, M Ranjbar Journal of Petroleum Science and Engineering 179, 425-436, 2019	77	2019

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