The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Machine Learning Proxy for Rapid Prediction of Ultimate Hydrogen Recovery in Depleted Gas Reservoirs (AGU25)

Machine Learning Proxy for Rapid Prediction of Ultimate Hydrogen Recovery in Depleted Gas Reservoirs

Minkyung Chae1, Tea-woo Kim2, Youngbin Ahn1 and Baehyun Min1, (1)Ewha Womans University, Department of Climate and Energy Systems Engineering, Seoul, South Korea, (2)Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea