A method for intelligent information extraction of coal fractures based on µCT and deep learning

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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Bibliographic Details
Main Authors: Zhazha HU, Xun ZHANG, Yi JIN, Linxian GONG, Wenhui HUANG, Jianji REN, Norbert Klitzsch
Format: Article
Language:zho
Published: Editorial Office of Coal Geology & Exploration 2025-02-01
Series:Meitian dizhi yu kantan
Subjects:
trans-unet
µct images
coal fracture
image segmentation
deep learning
Online Access:http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.09.0609
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http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.09.0609

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