Deep Learning-Assisted Flash Calculations for Underground Hydrogen Storage
Jun 1, 2026·
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1 min read
Zhilei Han
Bicheng Yan
This work combines conventional thermodynamic flash calculations with deep-learning-assisted phase stability and initialization to improve computational efficiency for compositional underground hydrogen storage simulation.
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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