Quantitative Characterization of 3D Pore Structure in Porous Limestone

Yun Tao Ji; Patrick Baud; Teng Fong Wong; Li Qiang Liu

doi:10.4028/www.scientific.net/AMR.671-674.1830

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 671-674Quantitative Characterization of 3D Pore Structure...

Quantitative Characterization of 3D Pore Structure in Porous Limestone

Abstract:

The pore structure in intact and inelastically deformed Indiana limestone have been studied using x-ray microtomography imaging. Guided by detailed microstructural observations and using Multi-level Otsu’s thresholding method, the 3D images acquired at voxel side length of 4 μm were segmented into three domains: solid grains, macropores and an intermediate zone dominated by microporosity. Local Porosity can be defined to infer the porosity of each voxel. The macropores were individually identified by morphological processing and their shape quantified by their sphericity and equivalent diameter. With this segmentation, we obtained statistics on macropores on intact and deformed Indiana limestone which shows that inelastic compaction was followed by a significant reduction in the number of macropores. And also our results revealed the great potentiality to produce a quantitative analysis on porous material with the aid of micro CT images.

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Periodical:

Advanced Materials Research (Volumes 671-674)

Pages:

1830-1834

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.671-674.1830

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Online since:

March 2013

Authors:

Yun Tao Ji*, Patrick Baud, Teng Fong Wong, Li Qiang Liu

Keywords:

CT Image, Local Porosity, Pore Geometry, Porous Medium

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References

[1] Hall, S.A., N. Lenoir, G. Viggiani, Full-field characterisation of strain localisation evolution in sand under triaxial loading by in-situ X-ray microtomography and 3D-volumetric digital image correlation, EAGE , (2009).

DOI: 10.3997/2214-4609.201400340

Google Scholar

[2] Vajdova, V., P. Baud, T. -f. Wong, T. -f., Compaction, dilatancy and failure in porous carbonate rocks. J. Geophys. Res., (2004).

DOI: 10.1029/2003jb002508

Google Scholar

[3] Zhu, W., P. Baud, T. -f. Wong, Micromechanics of cataclastic pore collapse in limestone. J. Geophys. Res., (2010).

DOI: 10.1029/2009jb006610

Google Scholar

[4] Nobuyuki Otsu, A threshold selection method from gray-level histograms. IEEE Trans. Sys., Man., Cyber., (1979).

DOI: 10.1109/tsmc.1979.4310076

Google Scholar

[5] W.E. Lorensen and H.E. Cline. Marching cubes: a high resolution3D surface construction. ACM Comput. Graph., (1987).

DOI: 10.1145/37402.37422

Google Scholar