Projects per year
Personal profile
Personal profile
I am a petroleum engineer with extensive experience in academia and the oil and gas industry. My academic journey took me from Iran to France and the UK, where I earned my BSc, MSc, and PhD. My industry career began in 2007 with significant projects for BP, Shell, Statoil, ConocoPhillips, and Total. I specialized in dynamic reservoir modeling and later transitioned into consultancy work, focusing on reservoir management, enhanced oil recovery, and more. My journey in petroleum engineering has been marked by a strong academic foundation and extensive industry involvement, providing me with a comprehensive understanding of the field and a diverse skill set that encompasses research, software development, and project management. I've also taught courses in reservoir engineering, simulation, CCUS, Fluid flow in porouse media, enhanced oil recovery and related topics at universities and published over 50 papers and presented at SPE and EAGE conferences, further enriching my expertise in petroleum engineering.
Research interests
Carbone storage modelling and simulation
Hydrogen storage
Modelling and simulation of fluid flow in porous media
Teaching
- ENGR 2217: Programming for engineers
- PNGE 6900: Carbon capture utilization and storage
- PNGE 6002: Advanced reservoir engineering
- PNGE 4101: Statistics for engineers
- PNGE 6001: Transport process in porous media
- PNGE 5212: Secondary and enhanced oil recovery
- PNGE 6105: Enhanced oil recovery methods
- PNGE 4712: Reservoir simulation
- PNGE 4212: Drilling technology
Education/Academic qualification
Post doctoral, Heriot-Watt University
2010 → 2012
PhD, Heriot-Watt University
2006 → 2010
Msc, IFP Énergies nouvelles
2004 → 2006
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Sustainability Analysis of Carbon-Dioxide Sequestration in Depleted Shale Gas Reservoirs Using Data-Driven Analytics and Modeling
1/1/24 → 12/31/24
Project: Deanship of Research Grants
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A comprehensive study on CO2 /brine/hydrocarbon IFT for CO2 storage
1/1/24 → 12/31/25
Project: Internal Grants (IG)
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Development of Novel Deep Learning Approaches for EOR Screening
1/1/23 → 12/31/24
Project: Internal Grants (IG)
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Geological Uncertainty Management using Deep Learning in Optimization of Deviated Wells with and without Considering Production history
6/1/22 → 12/1/22
Project: Research project
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Oil field development under uncertainty quantification of reservoir data
1/12/22 → 10/1/22
Project: Deanship of Research Grants
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CO2-brine interfacial tension correlation based on the classical orthogonal polynomials: monovalent salts with common anion
Vakili-Nezhaad, G. R., Al Shaaili, A., Yousefzadeh, R., Kazemi, A. & Al Ajmi, A., Feb 12 2024, In: Chemical Papers.Research output: Contribution to journal › Article › peer-review
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Performance evaluation of different types of surfactants to inhibit clay swelling during chemical enhanced oil recovery
Khezerloo-ye Aghdam, S., Kazemi, A. & Ahmadi, M., Jan 2024, In: Canadian Journal of Chemical Engineering. 102, 1, p. 481-494 14 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
An insight into the microorganism growth prediction by means of machine learning approaches
Bemani, A., Kazemi, A. & Ahmadi, M., Jan 1 2023, In: Journal of Petroleum Science and Engineering. 220, 111162.Research output: Contribution to journal › Article › peer-review
8 Citations (Scopus) -
An Insight into the Prediction of Scale Precipitation in Harsh Conditions Using Different Machine Learning Algorithms
Yousefzadeh, R., Bemani, A., Kazemi, A. & Ahmadi, M., May 2023, In: SPE Production and Operations. 38, 2, p. 286-304 19 p.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
Dimensionality Reduction Methods Used in History Matching
Yousefzadeh, R., Kazemi, A., Ahmadi, M. & Gholinezhad, J., Jan 1 2023, SpringerBriefs in Petroleum Geoscience and Engineering. Springer Nature, p. 75-91 17 p. (SpringerBriefs in Petroleum Geoscience and Engineering).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Press/Media
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Findings on Nanolubricants Detailed by Investigators at Sultan Qaboos University (Machine Learning-based Estimation of Nano-lubricants Viscosity In Different Operating Conditions)
11/16/23
1 item of Media coverage
Press/Media: Press / Media
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Investigators from Sultan Qaboos University Zero in on Machine Learning (Machine Learning Assisted Modeling of Interfacial Tension In the System N2/brine)
Adel Al-Ajmi, G. Reza Vakili-Nezhaad & Alirez Kazemi
9/11/23
1 item of Media coverage
Press/Media: Press / Media
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New Machine Learning Study Results Reported from Sultan Qaboos University (An Insight Into the Prediction of Scale Precipitation In Harsh Conditions Using Different Machine Learning Algorithms)
7/17/23
1 item of Media coverage
Press/Media: Press / Media
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Study Findings from Sultan Qaboos University Broaden Understanding of Machine Learning (An Insight Into the Microorganism Growth Prediction By Means of Machine Learning Approaches)
1/9/23
1 item of Media coverage
Press/Media: Press / Media