Imaging of water distribution in thermally fractured granites by SPRITE

Yamaguchi, Makoto; Kobori, Kazuo; Suzuki, Kazunori; Ikeda, Yasuhisa; Altobelli, Stephen A.

doi:10.1016/j.mri.2004.11.045

Cited by 2 publications

(1 citation statement)

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“…For example, a super high-resolution synchrotron-based microtomographic system with sub-micrometer voxel dimensions is being developed, 37) with which it will be possible to probe the pore structure of fine-grained bentonite [38][39][40][41] by X-ray CT. Our programs run on the Mathematica Ò version 5.2 installed in the various operating systems (Windows, Macintosh, Unix, and Linux). Three-dimensional pore images obtained by nuclear magnetic resonance imaging 34,35) and neutron CT 36) (not X-ray CT images) are also acceptable. Thus, our programs will be useful for a microscopic approach using the 3-D pore images for diverse studies on the transport of groundwater and contaminants through the natural and artificial barriers at radioactive waste disposal sites.…”

Section: Discussionmentioning

confidence: 99%

Mathematica Programs for the Analysis of Three-Dimensional Pore Connectivity and Anisotropic Tortuosity of Porous Rocks using X-ray Computed Tomography Image Data

Nakashima¹,

Kamiya²

2007

J. Nucl. Sci. Technol.

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Understanding of the transport properties of porous rocks is important for safe nuclear waste disposal because harmful contaminated groundwater can migrate along pore spaces over long distances. We developed three original Mathematica Ò version 5.2 programs to calculate the transport properties (porosity, pore connectivity, surface-to-volume ratio of the pore space, and anisotropic tortuosity of the pore structure) of porous rocks using three-dimensional (3-D) 8-bit TIFF or BMP X-ray computed tomography (CT) images. The pre-processing program Itrimming.nb extracts a 3-D rectangular region of interest (ROI) from the raw CT images. The program Clabel.nb performs cluster-labeling processing of the pore voxels in the ROI to export volume, surface area, and the center of gravity of each pore cluster, which are essential for the analysis of pore connectivity. The random walk program Rwalk.nb simulates diffusion of non-sorbing species by performing discrete lattice walks on the largest (i.e., percolated) pore cluster in the ROI and exports the mean-square displacement of the non-sorbing walkers, which is needed to estimate the geometrical tortuosity and surface-to-volume ratio of the pore. We applied the programs to microfocus Xray CT images of a rhyolitic lava sample having an anisotropic pore structure. The programs are available at

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