Journal of Petroleum Science & Engineering2022,Vol.208PE9.DOI:10.1016/j.petrol.2021.109780

Nanopore networks in colloidal silica assemblies characterized by XCT for confined fluid flow modeling

Jiaqi Jin Chen-Luh Lin Shoeleh Assemi
Journal of Petroleum Science & Engineering2022,Vol.208PE9.DOI:10.1016/j.petrol.2021.109780

Nanopore networks in colloidal silica assemblies characterized by XCT for confined fluid flow modeling

Jiaqi Jin 1Chen-Luh Lin 1Shoeleh Assemi1
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作者信息

  • 1. Department of Materials Science and Engineering,College of Mines and Earth Sciences,University of Utah,122 South Central Campus Drive,Room 304,Salt Lake City,UT,84112,USA
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Abstract

Fluid flow through nanopore structures has exhibited different behavior than that described by Darcy's law,derived from pore networks of micrometer scale.Pressure assemblies of colloidal silica spheres of specified di-ameters from 94 to 620 nanometers were prepared as model nano-porous media.The smaller silica spheres tended to form random packing,but some substantial ordering was found in the packing of the larger silica spheres.X-ray computed tomography(XCT),with a voxel resolution of 16 nm,was used to characterize the nanopore networks.The porosity of the Nano-XCT pore network(34%)was less than the total porosity of the assemblies as determined by X-ray attenuation(52%),possibly due to the limits of voxel resolution during segmentation.Fluid flow in the nanopore networks was simulated using the single-phase Lattice Boltzmann Method,and the simulated permeability was compared with the empirical and experimental values.Based on our characterization,although a well-ordered packing of silica spheres was not achieved,it was found that the nanopore networks in the colloidal silica assemblies had pore size distributions corresponding to the particle sizes.The simulated permeability was less than the experimental measurement for water flow,but the complex packing of silica spheres and surface chemistry issues need to be considered in future research.

Key words

Colloidal silica assembly/X-ray nano CT/3D image analysis/Pore size/Permeability

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出版年

2022
Journal of Petroleum Science & Engineering

Journal of Petroleum Science & Engineering

ISSN:0920-4105
被引量1
参考文献量41
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