Diffusion ellipsoids of anisotropic porous rocks calculated by X‐ray computed tomography‐based random walk simulations

[1] Water molecules and contaminants migrate in water-saturated porous strata by diffusion in systems with small Peclet numbers. Natural porous rocks possess the anisotropy for diffusive transport along the percolated pore space. An X-ray computed tomography (CT) based approach is presented to quickly characterize anisotropic diffusion in porous rocks. High-resolution three-dimensional (3-D) pore images were obtained for a pumice and three sandstones by microfocus X-ray CT and synchrotron microtomography systems. The cluster-labeling process was applied to each image set to extract the 3-D image of a single percolated pore cluster through which diffusing species can migrate a long distance. The nonsorbing lattice random walk simulation was performed on the percolated pore cluster to obtain the mean square displacement. The self-diffusion coefficient along each direction in the 3-D space was calculated by taking the time derivative of the mean square displacement projected on the corresponding direction. A diffusion ellipsoid (i.e., polar representation of the direction-dependent normalized self-diffusivity) with three orthogonal principal axes was obtained for each rock sample. The 3-D two-point autocorrelation was also calculated for the percolated pore cluster of each rock sample to estimate the pore diameter anisotropy. The autocorrelation ellipsoids obtained by the ellipsoid fitting to the high correlation zone were prolate or oblate in shape, presumably depending on the eruption-induced deformation of magma and regional stress during sandstone diagenesis. The pore network anisotropy was estimated by calculating the diffusion ellipsoid for uniaxially elongated or compressed rock images. The degree and direction of the geological deformation of the samples estimated by the pore diameter anisotropy analysis agreed well with those estimated by the pore network anisotropy analysis. We found that the direction of the geological deformation coincided with the direction of the major (or minor) principal axis of the prolate (or oblate) diffusion ellipsoid for each sample. Thus, it can be concluded that the deformation-induced pore structure anisotropy is responsible for the anisotropy of the diffusive transport properties.

[1]  M. Bradbury,et al.  Anisotropic diffusion in layered argillaceous rocks: a case study with Opalinus Clay. , 2004, Environmental science & technology.

[2]  M. Rivers,et al.  Evaluation of synchrotron X-ray computerized microtomography for the visualization of transport processes in low-porosity materials. , 2005, Journal of contaminant hydrology.

[3]  Yoshito Nakashima,et al.  Estimate of transport properties of porous media by microfocus X‐ray computed tomography and random walk simulation , 2002 .

[4]  Derek Elsworth,et al.  Dissolution-induced preferential flow in a limestone fracture. , 2005, Journal of contaminant hydrology.

[5]  Nicos Martys,et al.  Transport in sandstone: A study based on three dimensional microtomography , 1996 .

[6]  R. E. de Souza,et al.  Anisotropic water diffusion in nematic self-assemblies of clay nanoplatelets suspended in water. , 2007, Langmuir : the ACS journal of surfaces and colloids.

[7]  W. Brent Lindquist,et al.  Image Thresholding by Indicator Kriging , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  C. Karacan,et al.  Behavior and effect of different coal microlithotypes during gas transport for carbon dioxide sequestration into coal seams , 2003 .

[9]  F. Madsen,et al.  Clay mineralogical investigations related to nuclear waste disposal , 1998, Clay Minerals.

[10]  Christoph H. Arns,et al.  Accurate estimation of transport properties from microtomographic images , 2001 .

[11]  Wancheng Zhu,et al.  Tracer transport in a fractured chalk: X-ray CT characterization and digital-image-based (DIB) simulation , 2007 .

[12]  Carl-Fredrik Westin,et al.  Processing and visualization for diffusion tensor MRI , 2002, Medical Image Anal..

[13]  R. Jeanloz,et al.  Introduction to the physics of rocks , 1994 .

[14]  M. Al-Mukhtar,et al.  Anisotropy of the solvent self-diffusion tensor as a probe of nematic ordering within dispersions of nanocomposites. , 2001, Physical review letters.

[15]  R. Pellenq,et al.  Water Self-Diffusion within Nematic Dispersions of Nanocomposites: A Multiscale Analysis of 1H Pulsed Gradient Spin−Echo NMR Measurements , 2003 .

[16]  Michael Angelo B. Promentilla,et al.  Characterizing the 3D Pore Structure of Hardened Cement Paste with Synchrotron Microtomography , 2008 .

[17]  Huan Feng,et al.  Characterization of methane hydrate host sediments using synchrotron-computed microtomography (CMT) , 2007 .

[18]  Takuji Nishimura,et al.  Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator , 1998, TOMC.

[19]  T. Kikuchi,et al.  Estimation of the apertures of water‐saturated fractures by nuclear magnetic resonance well logging , 2007 .

[20]  T. Ohsumi,et al.  Feldspar dissolution rates measured using phase-shift interferometry: Implications to CO2 underground sequestration , 2007 .

[21]  Nicos Martys,et al.  Transport and diffusion in three-dimensional composite media , 1994 .

[22]  Y. Nakashima The use of X-ray CT to measure diffusion coefficients of heavy ions in water-saturated porous media , 2000 .

[23]  John Kelly,et al.  Digital Core Laboratory: Petrophysical Analysis from 3D Imaging of Reservoir Core Fragments , 2005 .

[24]  H. Muraoka,et al.  Three-dimensional shape analysis of miarolitic cavities and enclaves in the Kakkonda granite by X-ray computed tomography , 2001 .

[25]  Richard A. Ketcham,et al.  Nondestructive high-resolution visualization and measurement of anisotropic effective porosity in complex lithologies using high-resolution X-ray computed tomography , 2005 .

[26]  Yund,et al.  Oxygen bulk diffusion measurements and TEM characterization of a natural ultramylonite: implications for fluid transport in mica‐bearing rocks , 1999 .

[27]  A. Tsuchiyama,et al.  Three-dimensional diffusion of non-sorbing species in porous sandstone: computer simulation based on X-ray microtomography using synchrotron radiation. , 2004, Journal of contaminant hydrology.

[28]  Nicos Martys,et al.  Virtual permeametry on microtomographic images , 2004 .

[29]  Kentaro Uesugi,et al.  Development of high spatial resolution X-ray CT system at BL47XU in SPring-8 , 2001 .

[30]  Yoshito Nakashima,et al.  Mathematica Programs for the Analysis of Three-Dimensional Pore Connectivity and Anisotropic Tortuosity of Porous Rocks using X-ray Computed Tomography Image Data , 2007 .

[31]  Christian Beaulieu,et al.  Diffusion anisotropy in subcortical white matter and cortical gray matter: Changes with aging and the role of CSF‐suppression , 2004, Journal of magnetic resonance imaging : JMRI.

[32]  Y. Nakashima,et al.  Three-dimensional study on the interconnection and shape of crystals in a graphic granite by X-ray CT and image analysis , 2000, Mineralogical Magazine.

[34]  W. B. Lindquist,et al.  Pore and throat size distributions measured from synchrotron X-ray tomographic images of Fontaineble , 2000 .

[35]  Fabrizio Gherardi,et al.  Numerical modeling of self-limiting and self-enhancing caprock alteration induced by CO2 storage in a depleted gas reservoir , 2007 .

[36]  Subhasis Ghoshal,et al.  Three-dimensional visualization and quantification of non-aqueous phase liquid volumes in natural porous media using a medical X-ray Computed Tomography scanner. , 2007, Journal of contaminant hydrology.

[37]  S. Nakashima,et al.  Diffusivity anisotropy in a rhyolite and its relation to pore structure , 2005 .

[38]  Abraham S. Grader,et al.  Chemical diffusion between a fracture and the surrounding matrix: Measurement by computed tomography and modeling , 2003 .

[39]  Takahiro Ohkubo Tortuosity based on Anisotropic Diffusion Process in Structured Plate-like Obstacles by Monte Carlo Simulation , 2008 .

[40]  R. Al-Raoush,et al.  A pore-scale investigation of a multiphase porous media system. , 2005, Journal of contaminant hydrology.