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Updated: Apr 15, 2026

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Published on: February 21, 2017
Evaluation of multiple-scale 3D characterization for coal physical structure with DCM method and synchrotron X-ray CT
Haipeng Wang1, Yushuang Yang2, Jianli Yang3
1Institute of Theoretical Physics and Department of Physics, Shanxi University, Taiyuan, Shanxi 030006, China.
This study introduces a data-constrained modeling (DCM) approach for multiscale coal characterization. DCM accurately quantifies coal structure and composition, even at lower resolutions, aiding energy extraction insights.
Area of Science:
- Earth Science
- Materials Science
- Geology
Background:
- Understanding coal's microscopic physical structure is crucial for optimizing coal conversion and methane extraction.
- Nondestructive characterization methods are essential for preserving sample integrity.
Purpose of the Study:
- To investigate the multiscale physical structure of coal using synchrotron-based multiple-energy X-ray CT.
- To quantitatively characterize multiscale compositional distributions using a data-constrained modeling (DCM) approach at different spatial resolutions.
Main Methods:
- Synchrotron-based multiple-energy X-ray Computed Tomography (CT) was employed.
- Two different spatial resolutions were utilized for imaging.
- A data-constrained modeling (DCM) approach was applied for quantitative analysis.
Main Results:
- Volume fractions for coal matrix, pores, and mineral compositions were determined at two resolutions.
- Differences in computed volume fractions between resolutions were minimal (<0.3% for matrix/pores, <0.17% for minerals).
- The DCM approach demonstrated accuracy in accounting for sub-resolution compositional details.
Conclusions:
- The DCM approach accurately characterizes coal's multiscale physical structure and composition.
- It enables effective analysis of larger coal samples at lower resolutions with minimal loss of detail.
- This method supports advancements in coal conversion and coal-bed methane extraction technologies.
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