Dr. Pan is a professor and supervisor for Ph.D. candidates in Department of Petroleum Engineering, School of Earth Resources, China University of Geosciences (Wuhan), China and serves as an associate editor in the editorial board of SPE Journal. He has focused on the new technology development in the numerical reservoir simulation and the artificial intelligent application in the oil and gas production for many years. He worked in the world-best numerical reservoir simulation R & D center, SUPRI-B in Department of Energy Resources Engineering of Stanford University as a research scientist and senior research scientist for more than 17 years. He participated in the development, supervision and management of the new generation of numerical reservoir simulation softwares GPRS and ADGPRS in SUPRI-B. He has published a number of research papers in various top scientific journals including Applied Energy, SPE Journal, AIChE Journal. 

    Currently, he leads a team at China University of Geosciences (Wuhan) to work on the application of large models and deep learning in oil and gas field development and management; the research and development of the new AI-based technologies for reservoir modeling, simulation and their integration; the efficient production development of unconventional oil and gas resources; new EOR technologies for conventional reservoirs; and new technologies for CO2 CCUS; etc.

    Our team is recruiting master and Ph.D. students, postdoctoral fellows. Candidates majoring in petroleum engineering, geological modeling, and artificial intelligence are welcome to join our research team. We offer an excellent learning and research environment and generous research stipends.

Selected publications in past three-years：

Liu, J., Liu, J., Zhu, Y., Sun, W., Zhang, D. and Pan, H., 2025. Multi-objective optimization for efficient CO₂ storage under pressure buildup constraint in saline aquifer. Applied Energy, 382, p.125175；

Pan H., Liu, J., Gong B., Zhu Y., Bai J., et al., 2025.  Construction and preliminary application of large language model for reservoir performance analysis. Petroleum Exploration and Development, 51(5), pp.1357-1366;

Liu, J., Pan, H., Sun, W., Jing, H. and Gong, B., 2025. Extension of fourier neural operator from three-dimensional (x, y, t) to four-dimensional (x, y, z, t) subsurface flow simulation. Mathematical Geosciences, 57(2), pp.359-391；

Liu, J., Zhang, D., Liu, J., Sun, W., Pan, H., Zhu, Y., Jing, H. and Fang, Z., 2025. Robust optimization under geological uncertainty using a TransUNet-based surrogate model with EnOpt algorithm. Mathematical Geosciences, 57(3), pp.547-576；

Liu, J., Pan, H., Jiang, S., Jing, H. and Zhu, Y.,2025. DL-NRS Net: A Physics-Informed Fourier Neural Operator Framework for High-Resolution Reconstruction Without High-Resolution Labels. Mathematical Geosciences,  

https://link.springer.com/article/10.1007/s11004-025-10202-8；

Liu, J., Zhu, Y., Liu, J., Pan, H., Zhang, D., Bai, J., Kuang, T. and Sun, T., 2025. A Novel Physics-Based Subsidiary Fracture Networks Grading and Permeability Equivalence for Efficient Shale Reservoir Simulation in History Matching. SPE Journal,   https://doi.org/10.2118/231183-PA;

Jing, H., Pan, H., Sun, R., Liu, J. and Fang, Z., 2025. Efficient Phase Equilibrium Calculations of Shale Reservoir Fluids—Part I: New Fast and Robust Trust Region–Based Algorithm with Volume Variables at Isobaric-Isothermal Conditions. SPE Journal, 30(5), pp.2958-2974；

Jing, H., Pan, H., Jiang, J., Liu, J. and Fang, Z., 2025. Efficient Phase Equilibrium Calculations of Shale Reservoir Fluids—Part II: New Fast and Robust Trust Region–Based Algorithm with Volume Variables Including Capillary Pressure at Isobaric-Isothermal Conditions. SPE Journal, 30(5), pp.2887-2908；

Jing, H., Liu, J., Pan, H., Fang, Z., Bai, J., Yang, H., Kuang, T. and Sun, T., 2025. Efficient Phase Equilibrium Calculations of Shale Reservoir Fluids—Part III: Deep Learning–Based Acceleration and Integration into Compositional Simulation. SPE Journal,  https://doi.org/10.2118/231421-PA;

Fang, Z., Jing, H., Pan, H., Wei, L., Masalmeh, S. and Li, J., 2025. A General Multiphase Equilibrium Calculation Framework for H₂O/Brine-CO₂-Dimethyl Ether-Hydrocarbon Systems. SPE Journal,  30(10), pp.6346-6365;

Jing, H., Pan, H., Sun, R., Liu, J. and Fang, Z., 2025. Artificial neural network-based three-phase equilibria computation in compositional simulation of EOR and storage of CO₂ in low-temperature reservoir. Geoenergy Science and Engineering, 246, p.213542；

Sun, R., Pan, H. and Tchelepi, H., 2025. New algorithm of three-phase equilibrium calculations for CO₂-hydrocarbon-water systems. Geoenergy Science and Engineering, 244, p.213426;

Sun, R., Pan, H., Xiong, H. and Tchelepi, H., 2023. Physical-informed deep learning framework for CO₂-injected EOR compositional simulation. Engineering Applications of Artificial Intelligence, 126, p.106742;

Jiang, J. and Pan, H., 2023. Efficient dissipation-based nonlinear solver for multiphase flow in discrete fractured media. Journal of Computational Physics, 479, p.112006;