Amin Shokrollahi

Mr Amin Shokrollahi

Higher Degree by Research Candidate

PhD Candidates

Australian School of Petroleum & Energy Resources

Faculty of Sciences, Engineering and Technology

PhD Candidate

My current research is primarily focused on mathematical modelling of fluid flow in porous media with a particular focus on secondary migration of oil/gas and CO2 sequestration. My research interests also include:
•    Optimization and Data Analysis;
•    Artificial Intelligence;
•    Enhanced Oil Recovery (EOR);

  • Journals
    Year Citation
    2019 Rostami, A., Shokrollahi, A., Esmaeili-Jaghdan, Z., & Ghazanfari, M. H. (2019). Rigorous silica solubility estimation in superheated steam: Smart modeling and comparative study. Environmental Progress and Sustainable Energy, 38(4), 9 pages.
    DOI Scopus4 WoS3
    2019 Rostami, A., Shokrollahi, A., Shahbazi, K., & Ghazanfari, M. H. (2019). Application of a new approach for modeling the oil field formation damage due to mineral scaling. Oil and Gas Science and Technology, 74, 10 pages.
    DOI Scopus6 WoS5
    2018 Rostami, A., Shokrollahi, A., & Ghazanfari, M. H. (2018). New method for predicting n-tetradecane/bitumen mixture density: Correlation development. Oil and Gas Science and Technology, 73, 11 pages.
    DOI Scopus6 WoS6
    2017 Bengar, A., Moradi, S., Ganjeh-Ghazvini, M., & Shokrollahi, A. (2017). Optimized polymer flooding projects via combination of experimental design and reservoir simulation. Petroleum, 3(4), 461-469.
    DOI Scopus14
    2017 Gharagheizi, F., Mohammadi, A. H., Arabloo, M., & Shokrollahi, A. (2017). Prediction of sand production onset in petroleum reservoirs using a reliable classification approach. Petroleum, 3(2), 280-285.
    DOI Scopus13
    2017 Rostami, A., & Shokrollahi, A. (2017). Accurate prediction of water dewpoint temperature in natural gas dehydrators using gene expression programming approach. Journal of Molecular Liquids, 243, 196-204.
    DOI Scopus24 WoS24
    2017 Niroomand-Toomaj, E., Etemadi, A., & Shokrollahi, A. (2017). Radial basis function modeling approach to prognosticate the interfacial tension CO<inf>2</inf>/Aquifer Brine. Journal of Molecular Liquids, 238, 540-544.
    DOI Scopus12 WoS11
    2016 Naseri, S., Tatar, A., & Shokrollahi, A. (2016). Development of an accurate method to prognosticate choke flow coefficients for natural gas flow through nozzle and orifice type chokes. Flow Measurement and Instrumentation, 48, 1-7.
    DOI Scopus24 WoS20
    2016 Kamari, A., Gharagheizi, F., Shokrollahi, A., Arabloo, M., & Mohammadi, A. H. (2016). Integrating a robust model for predicting surfactant-polymer flooding performance. Journal of Petroleum Science and Engineering, 137, 87-96.
    DOI Scopus37 WoS32
    2015 Meybodi, M. K., Naseri, S., Shokrollahi, A., & Daryasafar, A. (2015). Prediction of viscosity of water-based Al<inf>2</inf>O<inf>3</inf>, TiO<inf>2</inf>, SiO<inf>2</inf>, and CuO nanofluids using a reliable approach. Chemometrics and Intelligent Laboratory Systems, 149, 60-69.
    DOI Scopus49 WoS45
    2015 Darvish, H., Nouri-Taleghani, M., Shokrollahi, A., & Tatar, A. (2015). Geo-mechanical modeling and selection of suitable layer for hydraulic fracturing operation in an oil reservoir (south west of Iran). Journal of African Earth Sciences, 111, 409-420.
    DOI Scopus24 WoS17
    2015 Shokrollahi, A., Tatar, A., & Safari, H. (2015). On accurate determination of PVT properties in crude oil systems: Committee machine intelligent system modeling approach. Journal of the Taiwan Institute of Chemical Engineers, 55, 17-26.
    DOI Scopus48 WoS44
    2015 Tatar, A., Shokrollahi, A., Halali, M. A., Azari, V., & Safari, H. (2015). A Hybrid Intelligent Computational Scheme for Determination of Refractive Index of Crude Oil Using SARA Fraction Analysis. Canadian Journal of Chemical Engineering, 93(9), 1547-1555.
    DOI Scopus21 WoS19
    2015 Arabloo, M., Shokrollahi, A., Ghazanfari, M. H., & Rashtchian, D. (2015). Characterization of viscous fingering during displacements of low tension natural surfactant in fractured multi-layered heavy oil systems. Chemical Engineering Research and Design, 96, 23-34.
    DOI Scopus9 WoS10
    2015 Kamari, A., Arabloo, M., Shokrollahi, A., Gharagheizi, F., & Mohammadi, A. H. (2015). Rapid method to estimate the minimum miscibility pressure (MMP) in live reservoir oil systems during CO<inf>2</inf> flooding. Fuel, 153, 310-319.
    DOI Scopus65 WoS59
    2015 Shokrollahi, A., Safari, H., Esmaeili-Jaghdan, Z., Ghazanfari, M. H., & Mohammadi, A. H. (2015). Rigorous modeling of permeability impairment due to inorganic scale deposition in porous media. Journal of Petroleum Science and Engineering, 130, 26-36.
    DOI Scopus14 WoS12
    2015 Nouri-Taleghani, M., Mahmoudifar, M., Shokrollahi, A., Tatar, A., & Karimi-Khaledi, M. (2015). Fracture density determination using a novel hybrid computational scheme: A case study on an Iranian Marun oil field reservoir. Journal of Geophysics and Engineering, 12(2), 188-198.
    DOI Scopus15 WoS12
    2015 Tatar, A., Shokrollahi, A., Lee, M., Kashiwao, T., & Bahadori, A. (2015). Prediction of supercritical CO<inf>2</inf>/brine relative permeability in sedimentary basins during carbon dioxide sequestration. Greenhouse Gases: Science and Technology, 5(6), 756-771.
    DOI Scopus11 WoS11
    2015 Kalantari Meybodi, M., Shokrollahi, A., Safari, H., Lee, M., & Bahadori, A. (2015). A computational intelligence scheme for prediction of interfacial tension between pure hydrocarbons and water. Chemical Engineering Research and Design, 95, 79-92.
    DOI Scopus13 WoS14
    2015 Soroush, E., Mesbah, M., Shokrollahi, A., Rozyn, J., Lee, M., Kashiwao, T., & Bahadori, A. (2015). Evolving a robust modeling tool for prediction of natural gas hydrate formation conditions. Journal of Unconventional Oil and Gas Resources, 12, 45-55.
    DOI Scopus24
    2014 Soroush, E., Mesbah, M., Shokrollahi, A., Bahadori, A., & Ghazanfari, M. H. (2014). Prediction of methane uptake on different adsorbents in adsorbed natural gas technology using a rigorous model. Energy and Fuels, 28(10), 6299-6314.
    DOI Scopus26 WoS24
    2014 Hemmati-Sarapardeh, A., Shokrollahi, A., Tatar, A., Gharagheizi, F., Mohammadi, A. H., & Naseri, A. (2014). Reservoir oil viscosity determination using a rigorous approach. Fuel, 116, 39-48.
    DOI Scopus101 WoS94
    2014 Shokrollahi, A., Ghazanfari, M. H., & Badakhshan, A. (2014). Application of foam floods for enhancing heavy oil recovery through stability analysis and core flood experiments. Canadian Journal of Chemical Engineering, 92(11), 1975-1987.
    DOI Scopus21 WoS20
    2014 Tatar, A., Yassin, M. R., Rezaee, M., Aghajafari, A. H., & Shokrollahi, A. (2014). Applying a robust solution based on expert systems and GA evolutionary algorithm for prognosticating residual gas saturation in water drive gas reservoirs. Journal of Natural Gas Science and Engineering, 21, 79-94.
    DOI Scopus41 WoS37
    2014 Abdi, J., Bastani, D., Abdi, J., Mahmoodi, N. M., Shokrollahi, A., & Mohammadi, A. H. (2014). Assessment of competitive dye removal using a reliable method. Journal of Environmental Chemical Engineering, 2(3), 1672-1683.
    DOI Scopus15
    2014 Yassin, M. R., Arabloo, M., Shokrollahi, A., & Mohammadi, A. H. (2014). Prediction of Surfactant Retention in Porous Media: A Robust Modeling Approach. Journal of Dispersion Science and Technology, 35(10), 1407-1418.
    DOI Scopus17 WoS15
    2014 Fazavi, M., Hosseini, S. M., Arabloo, M., Shokrollahi, A., Nouri-Taleghani, M., & Amani, M. (2014). Applying a Smart Technique for Accurate Determination of Flowing Oil-Water Pressure Gradient in Horizontal Pipelines. Journal of Dispersion Science and Technology, 35(6), 882-888.
    DOI Scopus26 WoS27
    2014 Safari, H., Shokrollahi, A., Moslemizadeh, A., Jamialahmadi, M., & Ghazanfari, M. H. (2014). Predicting the solubility of SrSO<inf>4</inf> in Na-Ca-Mg-Sr-Cl-SO<inf>4</inf>-H<inf>2</inf>O system at elevated temperatures and pressures. Fluid Phase Equilibria, 374, 86-101.
    DOI Scopus18 WoS19
    2014 Safari, H., Shokrollahi, A., Jamialahmadi, M., Ghazanfari, M. H., Bahadori, A., & Zendehboudi, S. (2014). Prediction of the aqueous solubility of BaSO<inf>4</inf> using pitzer ion interaction model and LSSVM algorithm. Fluid Phase Equilibria, 374, 48-62.
    DOI Scopus56 WoS48
    2014 Fayazi, A., Arabloo, M., Shokrollahi, A., Zargari, M. H., & Ghazanfari, M. H. (2014). State-of-the-art least square support vector machine application for accurate determination of natural gas viscosity. Industrial and Engineering Chemistry Research, 53(2), 945-958.
    DOI Scopus77 WoS70
    2014 Majidi, S. M. J., Shokrollahi, A., Arabloo, M., Mahdikhani-Soleymanloo, R., & Masihi, M. (2014). Evolving an accurate model based on machine learning approach for prediction of dew-point pressure in gas condensate reservoirs. Chemical Engineering Research and Design, 92(5), 891-902.
    DOI Scopus43 WoS34
    2014 Mesbah, M., Soroush, E., Shokrollahi, A., & Bahadori, A. (2014). Prediction of phase equilibrium of CO<inf>2</inf>/cyclic compound binary mixtures using a rigorous modeling approach. Journal of Supercritical Fluids, 90, 110-125.
    DOI Scopus34 WoS31
    2013 Tatar, A., Shokrollahi, A., Mesbah, M., Rashid, S., Arabloo, M., & Bahadori, A. (2013). Implementing Radial Basis Function Networks for modeling CO<inf>2</inf>-reservoir oil minimum miscibility pressure. Journal of Natural Gas Science and Engineering, 15, 82-92.
    DOI Scopus109 WoS101
    2013 Arabloo, M., Shokrollahi, A., Gharagheizi, F., & Mohammadi, A. H. (2013). Toward a predictive model for estimating dew point pressure in gas condensate systems. Fuel Processing Technology, 116, 317-324.
    DOI Scopus70 WoS62
    2013 Shokrollahi, A., Majidi, S. M. J., & Ghazanfari, M. H. (2013). Monitoring and characterizing the finger patterns developed by miscible displacement in fractured heavy oil systems. Industrial and Engineering Chemistry Research, 52(31), 10853-10863.
    DOI Scopus4 WoS3
    2013 Farasat, A., Shokrollahi, A., Arabloo, M., Gharagheizi, F., & Mohammadi, A. H. (2013). Toward an intelligent approach for determination of saturation pressure of crude oil. Fuel Processing Technology, 115, 201-214.
    DOI Scopus81 WoS55
    2013 Shokrollahi, A., Arabloo, M., Gharagheizi, F., & Mohammadi, A. H. (2013). Intelligent model for prediction of CO<inf>2</inf> - Reservoir oil minimum miscibility pressure. Fuel, 112, 375-384.
    DOI Scopus130 WoS112
    2013 Ahmadi, M. A., Ebadi, M., Shokrollahi, A., & Javad Majidi, S. M. (2013). Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir. Applied Soft Computing Journal, 13(2), 1085-1098.
    DOI Scopus220 WoS188

  • Book Chapters
    Year Citation
    2017 Kamari, A., Gharagheizi, F., Shokrollahi, A., Arabloo, M., & Mohammadi, A. H. (2017). Estimating the drilling fluid density in the mud technology: Application in high temperature and high pressure petroleum wells. In Heavy Oil: Characteristics, Production and Emerging Technologies (pp. 285-295).
    Scopus6

  • Memberships
    Date Role Membership Country
    2021 - ongoing Member Society of Petroleum Engineering (SPE) Australia

  • Editorial Boards
    Date Role Editorial Board Name Institution Country
    2022 - ongoing Associate Editor Journal of Geophysics and Engineering IOP Publishing Ltd. United Kingdom
    2022 - ongoing Associate Editor Arabian Journal of Geosciences Springer Nature Group Germany
    2022 - ongoing Associate Editor Journal of Petroleum Exploration and Production Technology Springer Nature Group Germany
    2022 - ongoing Board Member Journal of Technology Innovations in Renewable Energy Lifescience Global Canada
  • Position: PhD Candidates
  • Email: amin.shokrollahi@adelaide.edu.au
  • Campus: North Terrace
  • Building: Santos, floor Second Floor
  • Room: 204
  • Org Unit: Australian School of Petroleum & Energy Resources
Connect With Me
External Profiles