A novel robust optimization framework based on surrogate modeling for underground hydrogen storage in depleted natural gas reservoirs
Aug 25, 2025·
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1 min read
Zhilei Han
Zeeshan Tariq
Bicheng Yan
This work develops a surrogate-model-based robust optimization framework for underground hydrogen storage in depleted natural gas reservoirs, targeting computationally efficient evaluation of reservoir and operational uncertainty.

Authors
Reservoir Simulation | Formation Evaluation & Petrophysics
I am a PhD candidate in Petroleum Engineering at King Abdullah University of Science and Technology (KAUST), focusing on computational reservoir simulation and AI modeling.
Before that, I worked for 7 years as a Senior Petrophysicist at China National Offshore Oil Corporation (CNOOC), specializing in formation evaluation, reservoir characterization, and reserves estimation.
Authors
Authors