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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| Auteurs principaux: | , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Portfolio
2026-04-01
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| Collection: | Scientific Reports |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1038/s41598-026-42049-2 |
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