Predicting methane adsorption in coal and shale with white-box and black-box machine learning models

Abstract Accurate prediction of methane (CH4) adsorption in coal and shale formations is essential for optimizing gas extraction, enhancing storage efficiency, mitigating greenhouse gas emissions, and ensuring safe mining and unconventional reservoir development. In this study, the most comprehensiv...

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Hlavní autoři:	Amir Hossein Sheikhshoaei, Fahimeh Hadavimoghaddam, Meftah Ali Abuswer, Ahmad Mohaddespour, Abdolhossein Hemmati-Sarapardeh, Saeid Atashrouz
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2026-04-01
Edice:	Scientific Reports
Témata:	Machine learning Coal Shale Methane Adsorption White-box modeling
On-line přístup:	https://doi.org/10.1038/s41598-026-42049-2
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