Amin Shokrollahi

Amin Shokrollahi

Higher Degree by Research Candidate

School of Chemical Engineering

Faculty of Sciences, Engineering and Technology

My current research is about the mathematical modeling of fluid flow in porous media, with a particular focus on the secondary migration of oil/gas and CO2 sequestration. My research interests also include:

•    Optimization and Data Analysis.

•    Artificial Intelligence;

•    Enhanced Oil Recovery (EOR).

  • Appointments
    Date Position Institution name
    2021 - ongoing PhD Student University of Adelaide
    2014 - 2021 Petroleum Engineer National Iranian South Oil Company, Full time
    2013 - 2014 Research Assistant National Iranian Oil Company, Part time
    2012 - 2013 Reservoir Engineer Abdal Industrial Projects Management Co. (MAPSA), Part time

  • Awards and Achievements
    Date Type Title Institution Name Country Amount
    2023 Award Santos/PESA SA-NT Scholarship Prize Santos Ltd and PESA SA-NT branch Australia -
    2023 Scholarship SPE-SA Scholarship SPE International, South Australian Section Australia -
    2023 Scholarship Bill Stuart Memorial Scholarship The University of Adelaide Australia -
    2022 Scholarship The Ian Wilson Liberal Research Scholarship The University of Adelaide Australia -
    2021 Scholarship The Australian Government-funded Research Training Program Scholarship (RTPS) The University of Adelaide Australia -
    2019 Award Distinguished Researcher Award National Iranian South Oilfields Company Iran, Islamic Republic of -
    2016 Award Distinguished Graduate Award National Iranian Council of Elites Iran, Islamic Republic of -
    2016 Award Most Outstanding Researcher Award Young Researchers and Elite Club Iran, Islamic Republic of -
    2013 Award Distinguished Graduate of Chemical Engineering at Sharif University of Technology Iranian Association of Chemical Engineers Iran, Islamic Republic of -
    2007 Scholarship Full scholarship from National Iranian Oil Company (NIOC) for B.Sc. in Petroleum University of Technology Petroleum University of Technology Iran, Islamic Republic of -

  • Language Competencies
    Language Competency
    English Can read, write, speak, understand spoken and peer review
    Persian Can read, write, speak, understand spoken and peer review

  • Education
    Date Institution name Country Title
    2011 - 2013 Sharif University of Technology Iran M.Sc.
    2007 - 2011 Petroleum University of Technology Iran B.Sc.

  • Research Interests
    Optimisation Pattern Recognition and Data Mining Petroleum and Reservoir Engineering Simulation and Modelling

  • Journals
    Year Citation
    2025 Shokrollahi, A., Prempeh, K. O. K., Mobasher, S. S., & Bedrikovetsky, P. (2025). Analytical model for CO<inf>2</inf>-water displacement with rate-dependent phase permeability for geological storage. Marine and Petroleum Geology, 171, 17 pages.
    DOI Scopus1
    2025 Shokrollahi, A., Tatar, A., Atrbarmohammadi, S., & Zeinijahromi, A. (2025). Explainable Advanced Modelling of CO2-Dissolved Brine Density: Applications for Geological CO2 Storage in Aquifers. Inventions, 10(1), 15.
    DOI
    2024 Foroughizadeh, P., Shokrollahi, A., Tatar, A., & Zeinijahromi, A. (2024). Hydrogen solubility in different chemicals: A modelling approach and review of literature data. Engineering Applications of Artificial Intelligence, 136(Part B), 108978-1-108978-24.
    DOI Scopus5
    2024 Hosseinzadeh, S., Haghighi, M., Salmachi, A., & Shokrollahi, A. (2024). Carbon dioxide storage within coal reservoirs: A comprehensive review. Geoenergy Science and Engineering, 241, 18 pages.
    DOI Scopus5
    2024 Shokrollahi, A., Mobasher, S. S., Prempeh, K. O. K., George, P. W., Zeinijahromi, A., Farajzadeh, R., . . . Bedrikovetsky, P. (2024). CO₂ Storage in Subsurface Formations: Impact of Formation Damage. Energies, 17(17), 4214-1-4214-26.
    DOI
    2024 Tatar, A., Shokrollahi, A., Zeinijahromi, A., & Haghighi, M. (2024). Deep Learning for Predicting Hydrogen Solubility in n-Alkanes: Enhancing Sustainable Energy Systems. Sustainability, 16(17), 7512.
    DOI
    2024 Shokrollahi, A., Tatar, A., & Zeinijahromi, A. (2024). Advancing CO2 Solubility Prediction in Brine Solutions with Explainable Artificial Intelligence for Sustainable Subsurface Storage. Sustainability, 16(17), 7273.
    DOI Scopus1
    2023 Behvandi, R., Tatar, A., Shokrollahi, A., & Zeinijahromi, A. (2023). Evaluation of phase equilibrium conditions of clathrate hydrates in natural gas binary mixtures: Machine learning approach. Geoenergy Science and Engineering, 224, 211634.
    DOI Scopus2
    2023 Rayhani, M., Tatar, A., Shokrollahi, A., & Zeinijahromi, A. (2023). Exploring the power of machine learning in analyzing the gas minimum miscibility pressure in hydrocarbons. Geoenergy Science and Engineering, 226, 211778.
    DOI Scopus10
    2023 Shokrollahi, A., Borazjani, S., Mobasher, S. S., Schacht, U., Amrouch, K., & Bedrikovetsky, P. (2023). Analytical approach for multivariate exploration planning via secondary migration modelling. The Australian Energy Producers Journal, 63(1), 220-229.
    DOI
    2023 Esmaeili-Jaghdan, Z., Tatar, A., Shokrollahi, A., Bon, J., & Zeinijahromi, A. (2023). Machine learning modelling of dew point pressure in gas condensate reservoirs: application of decision tree-based models. Neural Computing and Applications, 36(4), 1973-1995.
    DOI Scopus2
    2022 Mahdaviara, M., Rostami, A., Shahbazi, K., Shokrollahi, A., & Ghazanfari, M. H. (2022). Estimating Aqueous Nanofluids Viscosity via GEP Modeling: Correlation Development and Data Assessment. Iranian Journal of Chemistry and Chemical Engineering, 41(1), 266-283.
    DOI Scopus4 WoS1
    2022 Tatar, A., Esmaeili-Jaghdan, Z., Shokrollahi, A., & Zeinijahromi, A. (2022). Hydrogen solubility in n-alkanes: Data mining and modelling with machine learning approach. International Journal of Hydrogen Energy, 47(85), 35999-36021.
    DOI Scopus19 WoS1
    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 Scopus14 WoS9
    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 Scopus7 WoS7
    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 Scopus19
    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 Scopus25
    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 Scopus31 WoS27
    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 Scopus19 WoS12
    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 Scopus35 WoS21
    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 Scopus44 WoS35
    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 Scopus64 WoS56
    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 Scopus28 WoS20
    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 Scopus61 WoS52
    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 Scopus28 WoS23
    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 Scopus12 WoS12
    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 Scopus94 WoS67
    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 Scopus18 WoS13
    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 Scopus31 WoS17
    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 Scopus13 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 Scopus18 WoS15
    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 Scopus40 WoS28
    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 Scopus28 WoS26
    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 Scopus122 WoS106
    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 Scopus32 WoS26
    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 Scopus45 WoS40
    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 Scopus25 WoS19
    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 Scopus21 WoS18
    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 Scopus32 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 Scopus26 WoS22
    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 Scopus66 WoS55
    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 Scopus84 WoS72
    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 Scopus53 WoS38
    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 Scopus38 WoS32
    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 Scopus148 WoS119
    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 Scopus80 WoS64
    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 Scopus7 WoS7
    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 Scopus91 WoS62
    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 Scopus179 WoS128
    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 Scopus272 WoS220

  • 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

  • Conference Papers
    Year Citation
    2024 Shokrollahi, A., Ohemeng, K., Prempeh, K., Mobasher, S. S., George, P. W., Zulkifli, N. N., . . . Bedrikovetsky, P. (2024). Formation Damage During CO<inf>2</inf> Storage: Analytical Model, Field Cases. In Proceedings - SPE International Symposium on Formation Damage Control Vol. 2024-February. SPE.
    DOI Scopus2
    2023 Shokrollahi, A., Borazjani, S., Mobasher, S. S., Prempeh, K. O. K., Amrouch, K., Schacht, U., & Bedrikovetsky, P. (2023). Secondary Migration Modelling for Multivariant Exploration Planning: An Analytical Approach. In 84th EAGE Annual Conference and Exhibition Vol. 3 (pp. 2249-2253). Online: European Association of Geoscientists and Engineers, EAGE.

  • Preprint
    Year Citation
    2025 Shokrollahi, A., Prempeh, K. O. K., Mobasher, S. S., Zeinijahromi, A., & Bedrikovetsky, P. (2025). Two-phase immiscible displacement of water by gas accounting for fines
    migration: analytical model for vertical equilibrium.
    2025 Shokrollahi, A., Mobasher, S. S., Prempeh, K. O. K., Borazjani, S., Zeinijahromi, A., & Bedrikovetsky, P. (2025). Long-term propagation of CO2 plume below the seal accounting for
    chemical reactions and water counter-flow.
  • Teaching Assistant “Data Analytics in Oil & Gas Industry”, The University of Adelaide, Australia, 2022.
  • Teaching Assistant “Well Testing & Pressure Transient Analysis”, The University of Adelaide, Australia, 2022.
  • Lecturer “Reservoir Rock Properties”, National Iranian South Oil Company (NISOC), Iran, 2021.
  • Teaching Assistant “Advanced Production Engineering”, Sharif University of Technology, Iran, 2013.

  • Memberships
    Date Role Membership Country
    2023 - ongoing Member European Association of Geoscientists and Engineers (EAGE) Netherlands
    2023 - ongoing Member International Association of Hydrogeologists (IAH) Australia
    2022 - ongoing Member Petroleum Exploration Society of Australia (PESA) Australia
    2021 - ongoing Member Society of Petroleum Engineering (SPE) Australia

  • Editorial Boards
    Date Role Editorial Board Name Institution Country
    2023 - ongoing Associate Editor Petroleum Exploration and Development Elsevier Netherlands
    2023 - ongoing Associate Editor International Journal of Energy Research Hindawi Publishing Corporation United Kingdom
    2023 - ongoing Associate Editor Frontiers in Energy Research Frontiers Switzerland
    2023 - ongoing Associate Editor Geofluids Hindawi Publishing Corporation United Kingdom
    2023 - ongoing Associate Editor Hydrogeology Journal Springer Nature Group Germany
    2022 - 2024 Associate Editor Mathematical Problems in Engineering Hindawi Publishing Corporation United States
    2022 - ongoing Associate Editor Applied and Environmental Soil Science Hindawi Publishing Corporation United States
    2022 - ongoing Associate Editor Earth Science Informatics Springer Nature Group Germany
    2022 - ongoing Associate Editor Journal of Geophysics and Engineering Oxford University Press United Kingdom
    2022 - 2024 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
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