Dr. Zeeshan Tariq
Assistant Professor, Department of Petroleum Engineering
Dr. Zeeshan Tariq is an Assistant Professor in the Department of Petroleum Engineering at King Fahd University of Petroleum & Minerals (KFUPM). Prior to joining KFUPM, he served as a Research Scientist at King Abdullah University of Science and Technology (KAUST). His research focuses on integrating advanced reservoir simulation, artificial intelligence, and data-driven modeling for subsurface energy applications. His work spans geological carbon storage, CO₂-enhanced oil recovery, hydrogen storage, geothermal energy, reservoir characterization, and machine/deep-learning-based surrogate modeling. He has authored numerous peer-reviewed journal, several book chapters, multiple conference proceedings and is an inventor on multiple U.S. patents.
Educational Qualification
- Postdoctoral Fellow, King Abdullah University of Science and Technology (KAUST), 2024
- Ph.D. in Petroleum Engineering, King Fahd University of Petroleum & Minerals (KFUPM), 2020
- M.S. in Petroleum Engineering, King Fahd University of Petroleum & Minerals (KFUPM), 2016
- B.E. in Petroleum Engineering, NED University of Engineering & Technology, 2012
Research Interests
- Physics-Informed and Data-Driven Surrogate Modeling
- Artificial Intelligence and Machine/Deep Learning for Geo-Energy Systems
- Numerical Modeling and advanced Reservoir Simulation
- Geological Carbon Storage
- CO₂-Enhanced Oil Recovery (CO₂-EOR)
- Underground Hydrogen Storage
- Geothermal Energy
- Reservoir Characterization and Petrophysics
- Multiphase Flow in Porous Media
- Uncertainty Quantification and Optimization
Selected Publications
- Tariq, Z., AlSubhi, M., Ali, M., Kumar, N., Alissa, F., AlGhamdi, A., Hoteit, H., (2025) Techno-Economic Assessment of Field-Scale Storage for Liquid Organic Hydrogen Carriers: Dual Benefits of Energy Storage & Incremental Oil Recovery, Fuel, https://doi.org/10.1016/j.fuel.2025.137906
- Tariq, Z., Yan, B., Sun, S., Hoteit, H., (2025) A Comparative Study of Deep Learning-based Simulation for Geological CO2 Sequestration, Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2025.105096
- Tariq, Z., Yan, B., Hoteit, H., (2025) A U-Net Enhanced Graph Neural Network to Simulate Geological Carbon Sequestration, SPE Journal https://doi.org/10.2118/220757-PA
- Alanazi, A., Bawazeer, S., Tariq, Z., Ali, M., (2025) Enhancing Hydrogen Storage Efficiency in Organic-Rich Shales Using Silica Nanofluids: A Comprehensive Study on Wettability Alteration. Energy & Fuels
- Gudala, M., Yan, B., Sun, S., Tariq, Z., (2024) Doublet Huff and Puff: A New Technology towards Optimum CO2 Sequestration with Stable Geothermal Recovery. Applied Energy.
- Tariq, Z., Yan, B., Sun, S., Gudala, M., Hoteit, H., (2023) Spatial-Temporal Prediction of Minerals Dissolution and Precipitation using Deep Learning Techniques: An Implication to Geological Carbon Sequestration. Fuel, https://doi.org/10.1016/j.fuel.2023.127677.ed
- Yan, B., Li, C.,Tariq, Z., Zhang, K., (2023) Estimation of heterogeneous permeability using pressure derivative data through an inversion neural network inspired by the Fast Marching Method. GeoEnergy Science and Engineering https://doi.org/10.1016/j.geoen.2023.211982
- Tariq, Z., Al-Jawad, M., Mahmoud, M., Abdulraheem, A., (2020) Thermochemical Acid Fracturing for Tight and Unconventional Rocks: Experimental and Modeling Study. J Nat Gas Sci & Eng https://doi.org/10.1016/j.jngse.2020.103606
- Tariq, Z., Mahmoud, M., Abdulraheem, A., (2019) An Experimental Study to Reduce the Breakdown Pressure of the Unconventional Carbonate Rock by Cyclic Injection of Thermochemical Fluids J. Pet. Sci. Eng. https://doi.org/10.1016/j.petrol.2019.106859
- Tariq, Z., Mahmoud, M., Abdulraheem, A., (2019) An Intelligent data-driven Model for Dean-Stark Water Saturation Prediction in Carbonate Reservoirs, Neural Computing and Applications. https://doi.org/10.1007/s00521-019-04674-z
Awards & Honors
- Best Technical Research Award in Sustainability, Middle East Oil & Gas Show (MEOS-GEO), one of the region’s leading upstream energy events, Manama, Bahrain (September 2025).
- Recipient of the KFUPM Patent Award (2023–2026).
- Recognized among the World’s Top 2% Scientists in the field of Energy, based on the Stanford University/Elsevier database (2022–present).
- Third Place, Middle East and North Africa Regional PetroBowl Competition (March 2019).
- First Place, Middle East and North Africa Regional PetroBowl Competition (April 2018).