Dr Jebraeel Gholinezhad
Summary
I am a Senior Lecturer in energy engineering and Course Leader for two MSc programmes, namely, Petroleum and Gas Engineering and Energy and Power Systems Management at the University of Portsmouth. I am also a chartered engineer (CEng) registered with Engineering Council, UK. My current research is on the application of machine learning algorithms in fluid compositional characterisation, numerical simulation of carbon capture and storage (CCS) and energy storage materials.
Biography
I obtained my PhD from Heriot-Watt University where I did a productive research on hydrogen and CO2 storage using semi-clathrate hydrates. My MSc studies was on reservoir engineering at IFP School which was concluded by doing a placement in TOTAL on chemical and mechanical methods of mitigating scale depositions in oil and gas wells and downhole equipment. This project resulted in my first publication in 2005. Since then, I have published my work on energy-related projects in various peer-reviewed journals including Energy and Fuels, Fluid Phase Equilibria, Chemical engineering research and design, etc. Several of my publications are in line with the UN’s sustainable development goals (SDG) such as affordable and clean energy and climate action. I am an active PhD supervisor and some of my PhD students have already graduated.
Prior to joining the University of Portsmouth, I worked at Research Institute of Petroleum Industry (RIPI) in Tehran for 6 years where I was involved with various research projects on reservoir fluid studies, well performance analysis, artificial lifting, flow assurance (wax, asphaltene, gas hydrates) and water production management. Majority of these projects were experimental work and gave me a hand-on experience with various laboratory high-pressure equipment and measurements. During these years and before joining the university, I presented several training courses and workshops to industry professionals on different subjects including thermofluids, gas hydrates and hydrocarbon production optimisation.
Research interests
My research interests are:
- Applications of machine learning techniques and AI in thermofluid characterisation and energy engineering
- Challenges in modelling and simulation of CO2 storage in underground aquifers and depleted reservoirs
- Thermofluid and PVT modelling
- Energy storage and transportation using clathrate hydrates
Teaching responsibilities
Present modules: Engineering Management, Economics and Risk Analysis, Carbon Capture and Storage, Well Engineering and Production Technology
Past modules: Data Science and Artificial Intelligence in Energy Engineering, Fluid Properties and Thermodynamics, Numerical and Computational Methods, Reservoir Simulation
Research outputs
2023
Experimental investigation and prediction of saturation exponent in carbonate rocks: the significance of rock-fluid properties
Saadat, K., Rahimpour-Bonab, H., Tavakoli, V., Gholinezhad, J.
20 Oct 2023, In: Journal of Petroleum Exploration and Production Technology, 15p.
Research output: Article
Uncertainty management in reservoir engineering
Yousefzadeh, R., Kazemi, A., Ahmadi, M., Gholinezhad, J.
9 Apr 2023,
Research output: Chapter (peer-reviewed)
Field development optimization under geological uncertainty
Yousefzadeh, R., Kazemi, A., Ahmadi, M., Gholinezhad, J.
9 Apr 2023,
Research output: Chapter (peer-reviewed)
History matching and robust optimization using proxies
Yousefzadeh, R., Kazemi, A., Ahmadi, M., Gholinezhad, J.
9 Apr 2023,
Research output: Chapter (peer-reviewed)
Geological uncertainty quantification
Yousefzadeh, R., Kazemi, A., Ahmadi, M., Gholinezhad, J.
9 Apr 2023,
Research output: Chapter (peer-reviewed)
Dimensionality reduction methods used in history matching
Yousefzadeh, R., Kazemi, A., Ahmadi, M., Gholinezhad, J.
9 Apr 2023,
Research output: Chapter (peer-reviewed)
Reducing the geological uncertainty by history matching
Yousefzadeh, R., Kazemi, A., Ahmadi, M., Gholinezhad, J.
9 Apr 2023,
Research output: Chapter (peer-reviewed)
2022
Unsupervised machine learning technique for classifying production zones in unconventional reservoirs
Abbas, K. A., Gharavi, A., Hindi, N. A., Hassan, M., Alhosin, H. Y., Gholinezhad, J., Ghoochaninejad, H., Barati, H., Buick, J., Yousefi, P., Alasmar, R., Al-Saegh, S.
14 Dec 2022, In: International Journal of Intelligent Networks. 4, 9p.
Research output: Article
Application of machine learning techniques for identifying productive zones in unconventional reservoir
Gharavi, A., Hassan, M., Gholinezhad, J., Ghoochaninejad, H., Barati, H., Buick, J., Abbas, K. A.
19 Aug 2022, In: International Journal of Intelligent Networks. 3, 15p.
Research output: Article
CO2 diffusion and dispersion in porous media: review of advances in experimental measurements and mathematical models
Rezk, M. G., Foroozesh, J., Abdulrahman, A., Gholinezhad, J.
6 Jan 2022, In: Energy and Fuels. 36, 1, p. 133-155, 23p.
Research output: Article