
Afshin Tatar
Higher Degree by Research Candidate
School of Chemical Engineering
Faculty of Sciences, Engineering and Technology
Afshin's research focuses on Machine Learning-Assisted Carbon Capture and Storage (CCS): Modelling and Optimisation. In this project, he addresses both the storage and capture components.
In the storage phase, he investigates both geological (rock) and fluid (brine) properties. Deep learning methods are applied to identify and classify rock types suitable for CO₂ storage, while fluid modeling focuses on the behavior of brine when CO₂ is dissolved, assessing its characteristics through data-driven models.
For the capture phase, he utilizes machine learning techniques to analyze and optimize the absorption capacities of various chemicals used in CO₂ capture. This includes studying both amine-based and ionic liquid absorbents, as well as investigating their efficiency in real-world applications.
Afshin's research focuses on Machine Learning-Assisted Carbon Capture and Storage (CCS): Modelling and Optimisation. In this project, he addresses both the storage and capture components.
In the storage phase, he investigates both geological (rock) and fluid (brine) properties. Deep learning methods are applied to identify and classify rock types suitable for CO₂ storage, while fluid modeling focuses on the behavior of brine when CO₂ is dissolved, assessing its characteristics through data-driven models.
For the capture phase, he utilizes machine learning techniques to analyze and optimize the absorption capacities of various chemicals used in CO₂ capture. This includes studying both amine-based and ionic liquid absorbents, as well as investigating their efficiency in real-world applications.
His research interests include:
- Carbon Capture and Storage (CCS)
- Artificial Intelligence (Machine Learning, Data Mining, Neural Networks, Deep Learning, Image Analysis, and Optimisation)
- Data-Driven and Physics-Informed Models
- Cheminformatics
- Ionic Liquids
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Appointments
Date Position Institution name 2023 - 2023 Lecturer, Python Programming Islamic Azad University of Bojnord, Faculty of Skill and Entrepreneurship · Contract 2022 - 2023 Research Assistant Amol University of Special Modern Technologies, full time 2021 - 2021 Research Assistant Nazarbayev University, full time 2019 - 2021 Chemical Engineer SINOPEC, full time 2016 - 2019 Assistant Chemical Engineer SINOPEC, full time 2014 - 2016 Production Operator SINOPEC, full time -
Awards and Achievements
Date Type Title Institution Name Country Amount 2024 Award 2024 SPE-SA Scholarship Society of Petroleum Engineering (SPE) Australia - 2023 Scholarship University of Adelaide research scholarship for Ph.D. in Engineering The University of Adelaide Australia - 2017 Recognition Highly Cited Research in Journal of Natural Gas Science and Engineering Journal of Natural Gas Science and Engineering, Elsevier Netherlands - 2017 Award Most Cited Paper Award Certificate journal of Greenhouse Gases: Science & Technology, Wiley. United Kingdom - 2016 Award Most Outstanding Researcher Award Young Researchers and Elite Club Iran, Islamic Republic of - 2015 Award Most Cited Paper Award Certificate journal of Petroleum (Online ISSN: 2405-5816), KeAi Publishing China - 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 2023 University of Adelaide Australia PhD 2011 - 2014 Sahand University of Technology Iran M.Sc. 2007 - 2011 Petroleum University of Technology Iran B.Sc. -
Certifications
Date Title Institution name Country 2024 Convolutional Neural Networks DeepLearning.AI, offered through Coursera - 2024 Machine Learning Exploitability Kaggle - 2024 16th IEAGHG International CCS Summer School International Energy Agency Greenhouse Gas R&D Programme (IEAGHG) Australia 2023 PYTHON203: Data Manipulation and Visualisation in Python Intersect Research Faster - 2023 Data Manipulation and Visualisation in Python DeepLearning.AI, offered through Coursera - 2023 Structuring Machine Learning Projects DeepLearning.AI, offered through Coursera - 2023 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization DeepLearning.AI, offered through Coursera - 2023 Introduction to Deep Learning & Neural Networks with Keras IBM, offered through Coursera - 2023 Neural Networks and Deep Learning DeepLearning.AI, offered through Coursera - -
Research Interests
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Journals
Year Citation 2025 Tatar, A., Haghighi, M., & Zeinijahromi, A. (2025). Experiments on image data augmentation techniques for geological rock type classification with convolutional neural networks. Journal of Rock Mechanics and Geotechnical Engineering, 17(1), 106-125.
Scopus32025 Tatar, A., Zeinijahromi, A., & Haghighi, M. (2025). Explainable Artificial Intelligence in modelling hydrogen gas solubility in n-Alkanes. Separation and Purification Technology, 362, 131741.
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.
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.
Scopus52024 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.
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.
Scopus12023 Lashkenari, M. S., Bagheri, M., Tatar, A., Rezazadeh, H., & Inc, M. (2023). A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model. Neural Computing and Applications, 35(14), 10663-10676.
Scopus8 WoS42023 Ghasemi, M., Tatar, A., Shafiei, A., & Ivakhnenko, O. P. (2023). Prediction of asphaltene adsorption capacity of clay minerals using machine learning. Canadian Journal of Chemical Engineering, 101(5), 2579-2597.
Scopus5 WoS12023 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.
Scopus22023 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.
Scopus112023 Tatar, A., & Shafiei, A. (2023). Connectionist Models for Asphaltene Precipitation Prediction by <i>n</i>-Alkane Titration─Pressure and Crude Oil Properties Considered. Industrial and Engineering Chemistry Research, 62(34), 13281-13302.
Scopus12023 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.
Scopus22022 Shafiei, A., Tatar, A., Rayhani, M., Kairat, M., & Askarova, I. (2022). Artificial neural network, support vector machine, decision tree, random forest, and committee machine intelligent system help to improve performance prediction of low salinity water injection in carbonate oil reservoirs. Journal of Petroleum Science and Engineering, 219, 19 pages.
Scopus27 WoS52022 Mirzaie, M., Esfandyari, H., & Tatar, A. (2022). Dew point pressure of gas condensates, modeling and a comprehensive review on literature data. Journal of Petroleum Science and Engineering, 211, 17 pages.
Scopus12 WoS52022 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.
Scopus20 WoS12022 Yerkenov, T., Tazikeh, S., Tatar, A., & Shafiei, A. (2022). Asphaltene Precipitation Prediction during Bitumen Recovery: Experimental Approach versus Population Balance and Connectionist Models. ACS Omega, 7(37), 33123-33137.
Scopus4 WoS2 Europe PMC22021 Tatar, A., Askarova, I., Shafiei, A., & Rayhani, M. (2021). Data-Driven Connectionist Models for Performance Prediction of Low Salinity Waterflooding in Sandstone Reservoirs. ACS Omega, 6(47), 32304-32326.
Scopus14 WoS10 Europe PMC22021 Sayahi, T., Tatar, A., Rostami, A., Anbaz, M. A., & Shahbazi, K. (2021). Determining solubility of CO<inf>2</inf> in aqueous brine systems via hybrid smart strategies. International Journal of Computer Applications in Technology, 65(1), 1-13.
Scopus13 WoS82021 Ghorbani, H., Wood, D. A., Choubineh, A., Tatar, A., Abarghoyi, P. G., Madani, M., & Mohamadian, N. (2021). Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared (vol 6, pg 404, 2019). PETROLEUM, 7(2), 2 pages. 2020 Mirzaie, M., & Tatar, A. (2020). Modeling of interfacial tension in binary mixtures of CH<inf>4</inf>, CO<inf>2</inf>, and N<inf>2</inf> - alkanes using gene expression programming and equation of state. Journal of Molecular Liquids, 320, 15 pages.
Scopus31 WoS202020 Ghorbani, H., Wood, D. A., Choubineh, A., Mohamadian, N., Tatar, A., Farhangian, H., & Nikooey, A. (2020). Performance comparison of bubble point pressure from oil PVT data: Several neurocomputing techniques compared. Experimental and Computational Multiphase Flow, 2(4), 225-246.
Scopus46 WoS312020 Tatar, A., Moghtadaei, G. M., Manafi, A., Cachadiña, I., & Mulero, Á. (2020). Determination of pure alcohols surface tension using Artificial Intelligence methods. Chemometrics and Intelligent Laboratory Systems, 201, 14 pages.
Scopus11 WoS72020 Ghorbani, H., Wood, D. A., Choubineh, A., Tatar, A., Abarghoyi, P. G., Madani, M., & Mohamadian, N. (2020). Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared. Petroleum, 6(4), 404-414.
Scopus602019 Barati-Harooni, A., Najafi-Marghmaleki, A., Hoseinpour, S. A., Tatar, A., Karkevandi-Talkhooncheh, A., Hemmati-Sarapardeh, A., & Mohammadi, A. H. (2019). Estimation of minimum miscibility pressure (MMP) in enhanced oil recovery (EOR) process by N<inf>2</inf> flooding using different computational schemes. Fuel, 235, 1455-1474.
Scopus39 WoS252019 Rashid, S., Ghamartale, A., Abbasi, J., Darvish, H., & Tatar, A. (2019). Prediction of Critical Multiphase Flow Through Chokes by Using A Rigorous Artificial Neural Network Method. Flow Measurement and Instrumentation, 69, 9 pages.
Scopus27 WoS192019 Ameli, F., Hemmati-Sarapardeh, A., Tatar, A., Zanganeh, A., & Ayatollahi, S. (2019). Modeling interfacial tension of normal alkane-supercritical CO<inf>2</inf> systems: Application to gas injection processes. Fuel, 253, 1436-1445.
Scopus16 WoS102019 Tatar, A., Barati, A., Najafi, A., & Mohammadi, A. H. (2019). Radial basis function (RBF) network for modeling gasoline properties. Petroleum Science and Technology, 37(11), 1306-1313.
Scopus9 WoS32019 Moghadasi, R., Rostami, A., Tatar, A., & Hemmati-Sarapardeh, A. (2019). An experimental study of Nanosilica application in reducing calcium sulfate scale at high temperatures during high and low salinity water injection. Journal of Petroleum Science and Engineering, 179, 7-18.
Scopus23 WoS182019 Rahmati, A. S., & Tatar, A. (2019). Application of Radial Basis Function (RBF) neural networks to estimate oil field drilling fluid density at elevated pressures and temperatures. Oil and Gas Science and Technology, 74, 6 pages.
Scopus18 WoS122018 Najafi-Marghmaleki, A., Tatar, A., Barati-Harooni, A., Arabloo, M., Rafiee-Taghanaki, S., & Mohammadi, A. H. (2018). Reliable modeling of constant volume depletion (CVD) behaviors in gas condensate reservoirs. Fuel, 231, 146-156.
Scopus33 WoS202018 Hemmat Esfe, M., Tatar, A., Ahangar, M. R. H., & Rostamian, H. (2018). A comparison of performance of several artificial intelligence methods for predicting the dynamic viscosity of TiO2/SAE 50 nano-lubricant. Physica E: Low-Dimensional Systems and Nanostructures, 96, 85-93.
Scopus83 WoS652018 Hoseinpour, S. A., Barati-Harooni, A., Nadali, P., Mohebbi, A., Najafi-Marghmaleki, A., Tatar, A., & Bahadori, A. (2018). Accurate model based on artificial intelligence for prediction of carbon dioxide solubility in aqueous tetra-n-butylammonium bromide solutions. Journal of Chemometrics, 32(2), 20 pages.
Scopus7 WoS62018 Ahmadi, M. H., Tatar, A., Seifaddini, P., Ghazvini, M., Ghasempour, R., & Sheremet, M. A. (2018). Thermal conductivity and dynamic viscosity modeling of Fe<inf>2</inf>O<inf>3</inf>/water nanofluid by applying various connectionist approaches. Numerical Heat Transfer; Part A: Applications, 74(6), 1301-1322.
Scopus45 WoS402018 Kahani, M., Ahmadi, M. H., Tatar, A., & Sadeghzadeh, M. (2018). Development of multilayer perceptron artificial neural network (MLP-ANN) and least square support vector machine (LSSVM) models to predict Nusselt number and pressure drop of TiO<inf>2</inf>/water nanofluid flows through non-straight pathways. Numerical Heat Transfer; Part A: Applications, 74(4), 1190-1206.
Scopus62 WoS562018 Rostami, A., Kalantari-Meybodi, M., Karimi, M., Tatar, A., & Mohammadi, A. H. (2018). Efficient estimation of hydrolyzed polyacrylamide (HPAM) solution viscosity for enhanced oil recovery process by polymer flooding. Oil and Gas Science and Technology, 73, 17 pages.
Scopus50 WoS382018 Ahmadi, M. H., Tatar, A., Alhuyi Nazari, M., Ghasempour, R., Chamkha, A. J., & Yan, W. M. (2018). Applicability of connectionist methods to predict thermal resistance of pulsating heat pipes with ethanol by using neural networks. International Journal of Heat and Mass Transfer, 126, 1079-1086.
Scopus44 WoS382017 Zendehboudi, A., & Tatar, A. (2017). Oil flooded scroll compressors: Predicting the energy performance and evaluating the experimental data. Measurement: Journal of the International Measurement Confederation, 112, 38-46.
Scopus12 WoS112017 Zendehboudi, A., Tatar, A., & Li, X. (2017). A comparative study and prediction of the liquid desiccant dehumidifiers using intelligent models. Renewable Energy, 114, 1023-1035.
Scopus29 WoS252017 Najafi-Marghmaleki, A., Barati-Harooni, A., Tatar, A., Mohebbi, A., & Mohammadi, A. H. (2017). On the prediction of Watson characterization factor of hydrocarbons. Journal of Molecular Liquids, 231, 419-429.
Scopus25 WoS192017 Tatar, A., Barati-Harooni, A., Najafi-Marghmaleki, A., & Bahadori, A. (2017). Accurate prediction of CO<inf>2</inf> solubility in eutectic mixture of levulinic acid (or furfuryl alcohol) and choline chloride. International Journal of Greenhouse Gas Control, 58, 212-222.
Scopus23 WoS162017 Najafi-Marghmaleki, A., Tatar, A., Barati-Harooni, A., & Mohammadi, A. H. (2017). A GEP based model for prediction of densities of ionic liquids. Journal of Molecular Liquids, 227, 373-385.
Scopus14 WoS112017 Barati-Harooni, A., Najafi-Marghmaleki, A., Tatar, A., Mohebbi, A., Khaksar-Manshad, A., & Mohammadi, A. H. (2017). An accurate model for prediction of wax deposition in oil systems. Petroleum and Coal, 59(6), 797-807. 2017 Zendehboudi, A., & Tatar, A. (2017). Utilization of the RBF network to model the nucleate pool boiling heat transfer properties of refrigerant-oil mixtures with nanoparticles. Journal of Molecular Liquids, 247, 304-312.
Scopus45 WoS362017 Barati-Harooni, A., Nasery, S., Tatar, A., Najafi-Marghmaleki, A., Isafiade, A. J., & Bahadori, A. (2017). Prediction of H<inf>2</inf>S Solubility in Liquid Electrolytes by Multilayer Perceptron and Radial Basis Function Neural Networks. Chemical Engineering and Technology, 40(2), 367-375.
Scopus10 WoS92017 Dadkhah, M. R., Tatar, A., Mohebbi, A., Barati-Harooni, A., Najafi-Marghmaleki, A., Ghiasi, M. M., . . . Pourfayaz, F. (2017). Prediction of solubility of solid compounds in supercritical CO<inf>2</inf> using a connectionist smart technique. Journal of Supercritical Fluids, 120, 181-190.
Scopus29 WoS202016 Nasery, S., Barati-Harooni, A., Tatar, A., Najafi-Marghmaleki, A., & Mohammadi, A. H. (2016). Accurate prediction of solubility of hydrogen in heavy oil fractions. Journal of Molecular Liquids, 222, 933-943.
Scopus40 WoS312016 Tatar, A., Barati-Harooni, A., Najafi-Marghmaleki, A., Mohebbi, A., Ghiasi, M. M., Mohammadi, A. H., & Hajinezhad, A. (2016). Comparison of two soft computing approaches for predicting CO<inf>2</inf> solubility in aqueous solution of piperazine. International Journal of Greenhouse Gas Control, 53, 85-97.
Scopus41 WoS312016 Barati-Harooni, A., Najafi-Marghmaleki, A., Tatar, A., & Mohammadi, A. H. (2016). Experimental and modeling studies on adsorption of a nonionic surfactant on sandstone minerals in enhanced oil recovery process with surfactant flooding. Journal of Molecular Liquids, 220, 1022-1032.
Scopus94 WoS702016 Barati-Harooni, A., Soleymanzadeh, A., Tatar, A., Najafi-Marghmaleki, A., Samadi, S. J., Yari, A., . . . Mohammadi, A. H. (2016). Experimental and modeling studies on the effects of temperature, pressure and brine salinity on interfacial tension in live oil-brine systems. Journal of Molecular Liquids, 219, 985-993.
Scopus58 WoS462016 Tatar, A., Barati-Harooni, A., Partovi, M., Najafi-Marghmaleki, A., & Mohammadi, A. H. (2016). An accurate model for predictions of vaporization enthalpies of hydrocarbons and petroleum fractions. Journal of Molecular Liquids, 220, 192-199.
Scopus18 WoS162016 Sayahi, T., Tatar, A., & Bahrami, M. (2016). A RBF model for predicting the pool boiling behavior of nanofluids over a horizontal rod heater. International Journal of Thermal Sciences, 99, 180-194.
Scopus59 WoS522016 Barati-Harooni, A., Najafi-Marghmaleki, A., Tatar, A., Arabloo, M., Phung, L. T. K., Lee, M., & Bahadori, A. (2016). Prediction of frictional pressure loss for multiphase flow in inclined annuli during Underbalanced Drilling operations. Natural Gas Industry B, 3(4), 275-282.
Scopus112016 Tatar, A., Barati-Harooni, A., Moradi, S., Nasery, S., Najafi-Marghmaleki, A., Lee, M., . . . Bahadori, A. (2016). Prediction of heavy oil viscosity using a radial basis function neural network. Petroleum Science and Technology, 34(21), 1742-1748.
Scopus10 WoS52016 Najafi-Marghmaleki, A., Tatar, A., Barati-Harooni, A., Mohebbi, A., Kalantari-Meybodi, M., & Mohammadi, A. H. (2016). On the prediction of interfacial tension (IFT) for water-hydrocarbon gas system. Journal of Molecular Liquids, 224, 976-990.
Scopus16 WoS132016 Tatar, A., Barati-Harooni, A., Najafi-Marghmaleki, A., Ahmadi-Pour, M., Nadali, P., & Mohammadi, A. H. (2016). Prediction of moisture content of natural gases using a GA-RBF model. Journal of Molecular Liquids, 223, 994-999.
Scopus5 WoS42016 Najafi-Marghmaleki, A., Tatar, A., Barati-Harooni, A., Choobineh, M. J., & Mohammadi, A. H. (2016). GA-RBF model for prediction of dew point pressure in gas condensate reservoirs. Journal of Molecular Liquids, 223, 979-986.
Scopus26 WoS142016 Tatar, A., Nasery, S., Bahadori, A., Bahadori, M., Najafi-Marghmaleki, A., & Barati-Harooni, A. (2016). Implementing radial basis function neural network for prediction of surfactant retention in petroleum production and processing industries. Petroleum Science and Technology, 34(11-12), 992-999.
Scopus11 WoS102016 Tatar, A., Nasery, S., Bahadori, M., Bahadori, A., Bahadori, M., Barati-Harooni, A., & Najafi-Marghmaleki, A. (2016). Prediction of water removal rate in a natural gas dehydration system using radial basis function neural network. Petroleum Science and Technology, 34(10), 951-960.
Scopus15 WoS122016 Tatar, A., Najafi-Marghmaleki, A., Barati-Harooni, A., Gholami, A., Ansari, H. R., Bahadori, M., . . . Bahadori, A. (2016). Implementing radial basis function neural networks for prediction of saturation pressure of crude oils. Petroleum Science and Technology, 34(5), 454-463.
Scopus22 WoS192016 Tatar, A., Naseri, S., Bahadori, M., Hezave, A. Z., Kashiwao, T., Bahadori, A., & Darvish, H. (2016). Prediction of carbon dioxide solubility in ionic liquids using MLP and radial basis function (RBF) neural networks. Journal of the Taiwan Institute of Chemical Engineers, 60, 151-164.
Scopus70 WoS502016 Tatar, A., Barati, A., Yarahmadi, A., Najafi, A., Lee, M., & Bahadori, A. (2016). Prediction of carbon dioxide solubility in aqueous mixture of methyldiethanolamine and N-methylpyrrolidone using intelligent models. International Journal of Greenhouse Gas Control, 47, 122-136.
Scopus59 WoS502016 Tatar, A., Barati-Harooni, A., Najafi-Marghmaleki, A., Norouzi-Farimani, B., & Mohammadi, A. H. (2016). Predictive model based on ANFIS for estimation of thermal conductivity of carbon dioxide. Journal of Molecular Liquids, 224, 1266-1274.
Scopus33 WoS262016 Rezaei, A., Abdi-Khangah, M., Mohebbi, A., Tatar, A., & Mohammadi, A. H. (2016). Using surface modified clay nanoparticles to improve rheological behavior of Hydrolized Polyacrylamid (HPAM) solution for enhanced oil recovery with polymer flooding. Journal of Molecular Liquids, 222, 1148-1156.
Scopus107 WoS892016 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.
Scopus36 WoS212016 Afshin, T., Ali, B. H., Hossein, M., Saeid, N., Meysam, B., Moonyong, L., . . . Adel, N. M. (2016). Prediction of water formation temperature in natural gas dehydrators using radial basis function (RBF) neural networks. Natural Gas Industry B, 3(2), 173-180.
Scopus82015 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.
Scopus13 WoS112015 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.
Scopus28 WoS202015 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.
Scopus61 WoS522015 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.
Scopus28 WoS232015 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.
Scopus32 WoS172015 Tatar, A., Naseri, S., Sirach, N., Lee, M., & Bahadori, A. (2015). Prediction of reservoir brine properties using radial basis function (RBF) neural network. Petroleum, 1(4), 349-357.
Scopus322015 Naseri, S., Tatar, A., Bahadori, M., Rozyn, J., Kashiwao, T., & Bahadori, A. (2015). Application of Radial Basis Function Neural Network for Prediction of Titration-Based Asphaltene Precipitation. Petroleum Science and Technology, 33(23-24), 1875-1882.
Scopus10 WoS92015 Tatar, A., Naseri, S., Bahadori, M., Rozyn, J., Lee, M., Kashiwao, T., & Bahadori, A. (2015). Evaluation of Different Artificial Intelligent Models to Predict Reservoir Formation Water Density. Petroleum Science and Technology, 33(20), 1749-1756.
Scopus8 WoS52014 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.
Scopus46 WoS402014 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.
Scopus122 WoS1062013 Kamari, A., Khaksar-Manshad, A., Gharagheizi, F., Mohammadi, A. H., & Ashoori, S. (2013). Robust Model for the Determination of Wax Deposition in Oil Systems. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 52(44), 15664-15672.
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.
Scopus148 WoS119- A, T., & MA, H. (n.d.). On the Estimation of the Density of Brine with an Extensive Range of Different Salts Compositions and Concentrations. Journal of Thermodynamics & Catalysis, 7(2).
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Book Chapters
Year Citation 2018 Tatar, A. (2018). Microbial Enhanced Oil Recovery: Microbiology and Fundamentals. In Fundamentals of Enhanced Oil and Gas Recovery from Conventional and Unconventional Reservoirs (pp. 291-508). Elsevier.
DOI Scopus14
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Teaching Assistant, Well Testing & Pressure Transient Analysis, University of Adelaide, March 2025-Present.
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Teaching Assistant Tutor, Unconventional Resources & Recovery, University of Adelaide, March 2025-Present.
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Teaching Assistant, Data analytics in oil and gas industry, University of Adelaide, July 2024-November 2024.
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Teaching Assistant Tutor, Formation Evaluation, Petrophysics & Rock Properties, University of Adelaide, July 2024-November 2024.
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Teaching Assistant, Unconventional Resources & Recovery, University of Adelaide, March 2024-May 2024.
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Teaching Assistant, Formation Evaluation, Petrophysics & Rock Properties, University of Adelaide, July 2023-December 2023.
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Lecturer, Python Programming, Faculty of Skill and Entrepreneurship of Islamic Azad University, Bojnord branch, 2023.
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Committee Memberships
Date Role Committee Institution Country 2025 - ongoing Representative SPE South Australia Section University of Adelaide Australia -
Memberships
Date Role Membership Country 2025 - ongoing Member European Association of Geoscientists and Engineers (EAGE) Australia 2024 - ongoing Member Petroleum Exploration Society of Australia (PESA) Australia 2023 - ongoing Member Society of Petroleum Engineering (SPE) Australia -
Editorial Boards
Date Role Editorial Board Name Institution Country 2024 - ongoing Editor International Journal of Energy Research Wiely United States 2024 - ongoing Editor Frontiers in Energy Research Frontiers Switzerland
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