Dr. Abdolhossein   Hemmati Sarapardeh
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Dr. Abdolhossein Hemmati Sarapardeh

Professor
University of Calgary, Canada


Highest Degree
Ph.D. in Petroleum Engineering from University of Calgary, Canada

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Area of Interest:

Chemistry
100%
Petrochemical Industry
62%
Fluid Phase Equilibria
90%
Molecular Liquids
75%
Natural Gas Science
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
44
Abstracts
0

Selected Publications

  1. Hemmati-Sarapardeh, A., A. Varamesh, M.M. Husein and K. Karan, 2018. On the evaluation of the viscosity of nanofluid systems: Modeling and data assessment. Renew. Sustain. Energy Rev., 81: 313-329.
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  2. Varamesh, A., A. Hemmati-Sarapardeh, M.K. Moraveji and A.H. Mohammadi, 2017. Generalized models for predicting the critical properties of pure chemical compounds. J. Mol. Liquids, 240: 777-793.
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  3. Varamesh, A., A. Hemmati-Sarapardeh, B. Dabir and A.H. Mohammadi, 2017. Development of robust generalized models for estimating normal boiling point of pure chemical compounds. J. Mol. Liquids, 242: 59-69.
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  4. Karkevandi-Talkhooncheh, A., S. Hajirezaie, A. Hemmati-Sarapardeh, M.M. Husein, K. Karan and M. Sharifi, 2017. Application of adaptive neuro fuzzy interface system optimized with evolutionary algorithms for modeling CO2-crude oil minimum miscibility pressure. Fuel, 205: 34-45.
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  5. Hosseini, S.M.T., S. Esfahani, M.H. Doulatabadi, A.H. Sarapardeh and A.H. Mohammadi, 2017. On the evaluation of steam assisted gravity drainage in naturally fractured oil reservoirs. Petroleum, 3: 273-279.
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  6. Hemmati-Sarapardeh, A. and E. Mohagheghian, 2017. Modeling interfacial tension and minimum miscibility pressure in paraffin-nitrogen systems: Application to gas injection processes. Fuel, 205: 80-89.
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  7. Hajirezaie, S., A. Pajouhandeh, A. Hemmati-Sarapardeh, M. Pournik and B. Dabir, 2017. Development of a robust model for prediction of under-saturated reservoir oil viscosity. J. Mol. Liquids, 229: 89-97.
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  8. Dargahi-Zarandi, A., A. Hemmati-Sarapardeh, S. Hajirezaie, B. Dabir and S. Atashrouz, 2017. Modeling gas/vapor viscosity of hydrocarbon fluids using a hybrid GMDH-type neural network system. J. Mol. Liquids, 236: 162-171.
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  9. Azamifard, A., G. Bashiri, S. Gerami and A. Hemmati-Sarapardeh, 2017. On the evaluation of alkaline-surfactant-polymer flooding in a field scale: Screening, modelling and optimization. Can. J. Chem. Eng., 95: 1615-1625.
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  10. Atashrouz, S., H. Mirshekar, A. Hemmati-Sarapardeh, M.K. Moraveji and B. Nasernejad, 2017. Implementation of soft computing approaches for prediction of physicochemical properties of ionic liquid mixtures. Korean J. Chem. Eng., 34: 425-439.
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  11. Atashrouz, S., H. Mirshekar and A. Hemmati-Sarapardeh, 2017. A soft-computing technique for prediction of water activity in PEG solutions. Colloid Polym. Sci., 295: 421-432.
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  12. Tohidi-Hosseini, S.M., S. Hajirezaie, M. Hashemi-Doulatabadi, A. Hemmati-Sarapardeh and A.H. Mohammadi, 2016. Toward prediction of petroleum reservoir fluids properties: A rigorous model for estimation of solution gas-oil ratio. J. Nat. Gas Sci. Eng., 29: 506-516.
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  13. Taghvaei, H., M.A. Amooie, A. Hemmati-Sarapardeh and H. Taghvaei, 2016. A comprehensive study of phase equilibria in binary mixtures of carbon dioxide + alcohols: Application of a hybrid intelligent model (CSA-LSSVM). J. Mol. Liquids, 224: 745-756.
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  14. Sofla, S.J.D., M. Sharifi and A.H. Sarapardeh, 2016. Toward mechanistic understanding of natural surfactant flooding in enhanced oil recovery processes: The role of salinity, surfactant concentration and rock type. J. Mol. Liquids, 222: 632-639.
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  15. Kamari, A., F. Moeini, M.J. Shamsoddini-Moghadam, S.A. Hosseini, A.H. Mohammadi and A. Hemmati-Sarapardeh, 2016. Modeling the permeability of heterogeneous oil reservoirs using a robust method. Geosci. J., 20: 259-271.
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  16. Hosseinzadeh, M., A. Hemmati-Sarapardeh, F. Ameli, F. Naderi and M. Dastgahi, 2016. A computational intelligence scheme for estimating electrical conductivity of ternary mixtures containing ionic liquids. J. Mol. Liquids, 221: 624-632.
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  17. Hemmati-Sarapardeh, A., M.H. Ghazanfari, S. Ayatollahi and M. Masihi, 2016. Accurate determination of the CO2-crude oil minimum miscibility pressure of pure and impure CO2 streams: A robust modelling approach. Can. J. Chem. Eng., 94: 253-261.
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  18. Hemmati-Sarapardeh, A., F. Ameli, B. Dabir, M. Ahmadi and A.H. Mohammadi, 2016. On the evaluation of asphaltene precipitation titration data: Modeling and data assessment. Fluid Phase Equilibria, 415: 88-100.
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  19. Hemmati-Sarapardeh, A., E. Mohagheghian, M. Fathinasab and A.H. Mohammadi, 2016. Determination of minimum miscibility pressure in N2-crude oil system: A robust compositional model. Fuel, 182: 402-410.
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  20. Hemmati-Sarapardeh, A., B. Aminshahidy, A. Pajouhandeh, S.H. Yousefi and S.A. Hosseini-Kaldozakh, 2016. A soft computing approach for the determination of crude oil viscosity: Light and intermediate crude oil systems. J. Taiwan Inst. Chem. Eng., 59: 1-10.
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  21. Ayatollahi, S., A. Hemmati-Sarapardeh, M. Roham and S. Hajirezaie, 2016. A rigorous approach for determining interfacial tension and minimum miscibility pressure in paraffin-CO2 systems: Application to gas injection processes. J. Taiwan Inst. Chem. Eng., 63: 107-115.
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  22. Atashrouz, S., A. Hemmati-Sarapardeh, H. Mirshekar, B. Nasernejad and M.K. Moraveji, 2016. On the evaluation of thermal conductivity of ionic liquids: Modeling and data assessment. J. Mol. Liquids, 224: 648-656.
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  23. Ameli, F., M. Hosseinzadeh, A. Hemmati-Sarapardeh, M. Salehzadeh and B. Dabir, 2016. State-of-the-art adaptive mesh generator implementation for dynamic asphaltene deposition in four-phase flow simulator in near well-bore region. J. Taiwan Inst. Chem. Eng., 65: 242-255.
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  24. Ameli, F., A. Hemmati-Sarapardeh, B. Dabir and A.H. Mohammadi, 2016. Determination of asphaltene precipitation conditions during natural depletion of oil reservoirs: A robust compositional approach. Fluid Phase Equilibria, 412: 235-248.
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  25. Tanoumand, N., A. Hemmati-Sarapardeh and A. Bahadori, 2015. A CSA-LSSVM model to estimate diluted heavy oil viscosity in the presence of kerosene. Pet. Sci. Technol., 33: 1085-1092.
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  26. Shateri, M., S. Ghorbani, A. Hemmati-Sarapardeh and A.H. Mohammadi, 2015. Application of Wilcoxon generalized radial basis function network for prediction of natural gas compressibility factor. J. Taiwan Inst. Chem. Eng., 50: 131-141.
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  27. Naseri, A., A.A. GhareSheikhloo, A. Kamari, A. Hemmati-Sarapardeh and A.H. Mohammadi, 2015. Experimental measurement of equilibrium interfacial tension of enriched miscible gas-crude oil systems. J. Mol. Liquids, 211: 63-70.
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  28. Mohagheghian, E., H. Zafarian-Rigaki, Y. Motamedi-Ghahfarrokhi and A. Hemmati-Sarapardeh, 2015. Using an artificial neural network to predict carbon dioxide compressibility factor at high pressure and temperature. Korean J. Chem. Eng., 32: 2087-2096.
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  29. Kamari, A., A. Hemmati-Sarapardeh, A.H. Mohammadi, H. Hashemi-Kiasari and E. Mohagheghian, 2015. On the evaluation of Fast-SAGD process in naturally fractured heavy oil reservoir. Fuel, 143: 155-164.
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  30. Hajirezaie, S., A. Hemmati-Sarapardeh, A.H. Mohammadi, M. Pournik and A. Kamari, 2015. A smooth model for the estimation of gas/vapor viscosity of hydrocarbon fluids. J. Nat. Gas Sci. Eng., 26: 1452-1459.
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  31. Fathinasab, M., S. Ayatollahi and A. Hemmati-Sarapardeh, 2015. A rigorous approach to predict nitrogen-crude oil minimum miscibility pressure of pure and nitrogen mixtures. Fluid Phase Equilibria, 399: 30-39.
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  32. Esfahani, S., S. Baselizadeh and A. Hemmati-Sarapardeh, 2015. On determination of natural gas density: Least square support vector machine modeling approach. J. Nat. Gas Sci. Eng., 22: 348-358.
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  33. Baniasadi, H., A. Kamari, S. Heidararabi, A.H. Mohammadi and A. Hemmati-Sarapardeh, 2015. Rapid method for the determination of solution gas-oil ratios of petroleum reservoir fluids. J. Nat. Gas Sci. Eng., 24: 500-509.
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  34. Moeini, F., A. Hemmati-Sarapardeh, M.H. Ghazanfari, M. Masihi and S. Ayatollahi, 2014. Toward mechanistic understanding of heavy crude oil/brine interfacial tension: The roles of salinity, temperature and pressure. Fluid Phase Equilibria, 375: 191-200.
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  35. Hosseinzadeh, M. and A. Hemmati-Sarapardeh, 2014. Toward a predictive model for estimating viscosity of ternary mixtures containing ionic liquids. J. Mol. Liquids, 200: 340-348.
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  36. Hemmati-Sarapardeh, A., S. Ayatollahi, A. Zolghadr, M.H. Ghazanfari and M. Masihi, 2014. Experimental determination of equilibrium interfacial tension for nitrogen-crude oil during the gas injection process: The role of temperature, pressure and composition. J. Chem. Eng. Data, 59: 3461-3469.
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  37. Hemmati-Sarapardeh, A., B. Mahmoudi and A.H. Mohammadi, 2014. Experimental measurement and modeling of saturated reservoir oil viscosity. Korean J. Chem. Eng., 31: 1253-1264.
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  38. Hemmati-Sarapardeh, A., A. Shokrollahi, A. Tatar, F. Gharagheizi, A.H. Mohammadi and A. Naseri, 2014. Reservoir oil viscosity determination using a rigorous approach. Fuel, 116: 39-48.
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  39. Hashemi-Kiasari, H., A. Hemmati-Sarapardeh, S. Mighani, A.H. Mohammadi and B. Sedaee-Sola, 2014. Effect of operational parameters on SAGD performance in a dip heterogeneous fractured reservoir. Fuel, 122: 82-93.
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  40. Arabloo, M., M.A. Amooie, A. Hemmati-Sarapardeh, M.H. Ghazanfari and A.H. Mohammadi, 2014. Application of constrained multi-variable search methods for prediction of PVT properties of crude oil systems. Fluid Phase Equilibria, 363: 121-130.
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  41. Kamari, A., A. Hemmati-Sarapardeh, S.M. Mirabbasi, M. Nikookar and A.H. Mohammadi, 2013. Prediction of sour gas compressibility factor using an intelligent approach. Fuel Process. Technol., 116: 209-216.
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  42. Hemmati-Sarapardeh, A., S. Ayatollahi, M.H. Ghazanfari and M. Masihi, 2013. Experimental determination of interfacial tension and miscibility of the CO2-crude oil system; temperature, pressure and composition effects. J. Chem. Eng. Data, 59: 61-69.
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  43. Hemmati-Sarapardeh, A., R. Alipour-Yeganeh-Marand, A. Naseri, A. Safiabadi, F. Gharagheizi, P. Ilani-Kashkouli and A.H. Mohammadi, 2013. Asphaltene precipitation due to natural depletion of reservoir: Determination using a SARA fraction based intelligent model. Fluid Phase Equilibria, 354: 177-184.
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  44. Hemmati-Sarapardeh, A., M. Khishvand, A. Naseri and A.H. Mohammadi, 2013. Toward reservoir oil viscosity correlation. Chem. Eng. Sci., 90: 53-68.
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