ISSN 1004-4140
CN 11-3017/P
Volume 30 Issue 6
Nov.  2021
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WANG Runhua, WANG Haipeng, LI Jianli, WANG Jinxiu, LI Kunjie, Y. S. Yang. Characterization of Pore Distribution of the Anthracite Coal Sample Based on Synchrotron Radiation X-ray CT[J]. CT Theory and Applications, 2021, 30(6): 691-700. DOI: 10.15953/j.1004-4140.2021.30.06.04
Citation: WANG Runhua, WANG Haipeng, LI Jianli, WANG Jinxiu, LI Kunjie, Y. S. Yang. Characterization of Pore Distribution of the Anthracite Coal Sample Based on Synchrotron Radiation X-ray CT[J]. CT Theory and Applications, 2021, 30(6): 691-700. DOI: 10.15953/j.1004-4140.2021.30.06.04
shu

Characterization of Pore Distribution of the Anthracite Coal Sample Based on Synchrotron Radiation X-ray CT

  • 1. Shanxi University a). Institute of Theoretical Physics and Department of Physics;b). College of Physics and Electronics Engineering;c). Institute of Coal-derived Gas Reservoir Physical Properties and Resource Development, Taiyuan 030006, China;

  • 2. Shanxi Guoxin Gas Energy Research Institute Co. LTD, Taiyuan 030006, China;

  • 3. Commonwealth Scientific and Industrial Research Organisation(CSIRO), Clayton South, VIC 3169, Australia

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  • Received Date: August 22, 2021
  • Available Online: November 03, 2021
    Graphical Abstract
    • Abstract
  • Synchrotron Radiation X-ray was performed on the anthracite coal sample from Sihe Mine in Qinshui Basin at beam energy of 24 keV, then CT slices of the sample were obtained by reconstructing the projections images. The CT slices of the sample were analyzed by adopting the methods of the digital terrain model (DTM) and the data-constrained modelling (DCM) respectively. The results showed that, as for the coal sample used in this paper, the porosity calculated by DTM was close to that measured by combination of the true density and the apparent relative density method. Yet, the porosity obtained by the threshold segmentation method based on the threshold determined by DTM was quite different from the porosity calculated by DTM. The porosity calculated by DCM was consistent with the porosity calculated by DTM and the experimental results. By taking the partial volume effect of the CT imaging process into considration, the DCM obtained the distribution information of pores whose size were smaller than that of the CT voxel size, which expanded the characterization length scale of CT imaging technique to some extent. The DCM calculated results indicated that most pores in the coal sample mostly coexisted as partially occupied CT voxels with coal matrix or mineral compositionsl.
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    • References (26)
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