Unraveling hydrogen induced geochemical reaction mechanisms through coupled geochemical modeling and machine learning

• Published in: Applied geochemistry Vol. 183; p. 106330
• Main Authors: Driba, D.L., Beckingham, Lauren E.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.04.2025; Elsevier
• Subjects: 08 HYDROGEN; algorithms; energy; evolution; Geochemical modeling; Geochemical reactions; geochemistry; Hydrogen; Hydrogen PhreeqC; Hydrogen storage; Machine learning; Non-negative matrix factorization; PhreeqC; Reaction stage; Reactive transport modeling; salinity; sulfates; temperature; Non-negative matrix factorization; PhreeqC; Reaction stage; Hydrogen; Geochemical modeling; Machine learning

Underground hydrogen storage (UHS) provides a promising large-scale, long-term energy storage solution. A reasonable recovery of stored hydrogen is critical for a successful storage scheme. However, in subsurface reservoirs hydrogen is subject to active geochemical reactions that might result in hyd...