Estimating the hydrogen adsorption in depleted shale gas reservoirs for kerogens in underground hydrogen storage using machine learning algorithms

• Published in: Fuel (Guildford) Vol. 388; p. 134534
• Main Authors: Mwakipunda, Grant Charles, Nafouanti, Mouigni Baraka, Ibrahim, AL-Wesabi, Yu, Long
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.05.2025
• Subjects: Hydrogen adsorption; Kerogen; Machine learning; Underground hydrogen storage; Underground hydrogen storage; Kerogen; Machine learning; Hydrogen adsorption

•ABC-MERF algorithm was developed for hydrogen adsorption estimation for UHS purpose.•GWO-MERF was compared with MERF and RF.•ABC-MERF outperformed MERF and RF.•Kerogen KIID types are more favorable for UHS than the other types.•Pressure has been found to have the great impact on hydrogen adsorption...