Projects per year
Personal profile
Biography
Dr. Rabbani completed M. Eng. (Integrated Master’s Degree) in Petroleum Engineering (2014) and Ph.D. in Chemical Engineering (2018) from The University of Manchester. His research focuses on advancing the fundamental understanding of multiphase flow through porous media. Utilizing computer modeling, imaging/visualization, and high-performance computing, his research aims to garner key insights into immiscible fluid physics at the pore scale, then scaling up these observations to continuum scales through mathematical formulation to predict large-scale Earth science problems in energy and the environment. Dr. Rabbani’s efforts in collaboration with various top international research institutes have resulted in high-quality peer-reviewed publications in leading scientific journals. Moreover, Dr. Rabbani has been invited to present key scientific findings of his research at various international and national conferences including InterPore, SPE, and EAGE. In addition, he is also serving as a reviewer for top-notch scientific journals.
Education/Academic qualification
Chemical Engineering, PhD, Pore-scale investigation of wettability effects on two-phase flow in porous media, University of Manchester
Award Date: 18 Jan 2018
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Projects
- 1 Active
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EX-QNRF-ARG-261: Multiscale Investigation of Nanoparticle Enhanced CO2 Foam (NECF) in Qatari Carbonate Reservoirs: From Microfluidics to Reservoir-scale with Implications to CO2 Sequestration and Enhanced Oil Recovery
Rabbani, H. S. (Lead Principal Investigator), Hashmet, D. M. R. (Principal Investigator), Seers, D. T. (Principal Investigator), Usman, C. A. (Post Doctoral Fellow) & Muneer, R. M. K. M. (Research Associate)
4/01/24 → 30/09/27
Project: Applied Research
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PoreViT: Automated pore typing in carbonate rocks using vision transformers and neighborhood features
Qaiser, Y., Ishaq, M., Yaqoob, M., Ansari, M. Y., Sujay, I., Khan, T., Rabbani, H., Laya, J. C., Moore, P. J. & Seers, T. D., Feb 2026, In: Computers and Geosciences. 207, 16 p., 106071.Research output: Contribution to journal › Article › peer-review
Open Access -
Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
Yaqoob, M., Ishaq, M., Ansari, M. Y., Qaiser, Y., Hussain, R., Rabbani, H. S., Garwood, R. J. & Seers, T. D., Mar 2025, In: Artificial Intelligence Review. 58, 3, 83.Research output: Contribution to journal › Article › peer-review
Open Access8 Citations (Scopus) -
FluidNet-Lite: Lightweight convolutional neural network for pore-scale modeling of multiphase flow in heterogeneous porous media
Yaqoob, M., Ansari, M. Y., Ishaq, M., Ashraf, U., Pavuluri, S., Rabbani, A., Rabbani, H. S. & Seers, T. D., 23 Mar 2025, In: Advances in Water Resources. 200, 104952.Research output: Contribution to journal › Article › peer-review
Open Access8 Citations (Scopus) -
Influence of Silica Nanoparticle Characteristics on CO2 Foam Stabilization in Seawater: Insights into Bubble Dynamics and Stabilizer Optimization
Chaudhry, A. U. & Rabbani, H. S., 21 Apr 2025, Society of Petroleum Engineers - GOTECH 2025. Society of Petroleum Engineers, (Society of Petroleum Engineers - GOTECH 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Machine learning-driven identification and predictive mapping of clogging regimes in porous media
Elrahmani, A., Al-Raoush, R. I., Rabbani, H. S. & Seers, T. D., Dec 2025, In: Journal of Hydrology. 662, 134106.Research output: Contribution to journal › Article › peer-review
Open Access