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March 3, 2026
Quantitative characterization of fractal features of coal rock pore-fracture based on ResUnet-CBAM modeling
SS
Shuang Song
LL
Le Li
Xi'an University of Science and Technology
SH
Suinan He
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Key Points
Characterization of fractal features shows significant variability across different pore-scales, indicating complex internal structures.
Important metrics reveal distinct clustering patterns in 85% of analyzed samples, driving deeper insights in material properties.
Analysis employs ResUnet-CBAM modeling to accurately capture and quantify fractal characteristics of coal rock pore systems.
Highlights the need for enhanced modeling techniques to understand geological formations; further validation is necessary.
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Song et al. (Fri,) studied this question.
synapsesocial.com/papers/69a75edec6e9836116a29db2
https://doi.org/https://doi.org/10.1016/j.measurement.2026.120609
Quantitative characterization of fractal features of coal rock pore-fracture based on ResUnet-CBAM modeling | Synapse