A method for intelligent information extraction of coal fractures based on µCT and deep learning
ObjectiveThe fine-scale characterization of fractures in coal reservoirs is significant for the exploration and exploitation of coalbed methane (CBM) resources. Given that the size, orientation, and density of fractures directly affect the permeability of coal seams, the accurate information identif...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Chinês |
| Publicat: |
Editorial Office of Coal Geology & Exploration
2025-02-01
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| Col·lecció: | Meitian dizhi yu kantan |
| Matèries: | |
| Accés en línia: | http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.09.0609 |
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