ESAIM: Proceedings and Surveys

Predicting ultimate hydrogen production and residual volume during cyclic underground hydrogen storage in porous media using machine learning

Raymond Mushabe, Jean Donald Minougou, David Landa-Marbán, Birane Kane and Tor Harald Sandve

ESAIM: ProcS, 81 (2025) 145-167

Published online: 10 October 2025

DOI: 10.1051/proc/202581145

Raymond Mushabe

Jean Donald Minougou

David Landa-Marbán

Birane Kane

Tor Harald Sandve

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