Deep Learning-Assisted Flash Calculations for Underground Hydrogen Storage
A hybrid thermodynamic and deep-learning workflow for accelerating flash calculations in underground hydrogen storage simulation.

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.
A hybrid thermodynamic and deep-learning workflow for accelerating flash calculations in underground hydrogen storage simulation.
Surrogate-model-based robust optimization for underground hydrogen storage in depleted natural gas reservoirs.
A coupled compositional-flow and microbial reactive-transport framework for underground hydrogen storage.