A novel robust optimization framework based on surrogate modeling for underground hydrogen storage in depleted natural gas reservoirs

Aug 25, 2025·
Zhilei Han
Zhilei Han
,
Zeeshan Tariq
,
Bicheng Yan
· 1 min read
Type
Publication
InterPore Journal, 2(3), IPJ250825-6
publications

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.

Zhilei Han
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.