Imaging and image-based fluid transport modeling at the pore scale in geological materials: A practical introduction to the current state-of-the-art

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• 作者：Tom Bultreys ; ^{Tom.Bultreys@UGent.be" class="auth_mail" title="E-mail the corresponding author} ; ^{tombultreys@hotmail.com" class="auth_mail" title="E-mail the corresponding author} ; Wesley De Boever ^{deboever.w@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Veerle Cnudde ^{Veerle.Cnudde@ugent.be" class="auth_mail" title="E-mail the corresponding author}
• 关键词：μ ; linear X-ray attenuation coefficient ; μXRF ; micro-X-ray fluorescence spectroscopy ; 2D ; two-dimensional ; 3D ; three-dimensional ; A ; cross-sectional surface area ; BGK ; Bhatnagar&ndash ; Gross&ndash ; Cook approximation ; BIB-SEM ; broad ion beam scanning electron microscopy ; BSE ; backscattered electrons ; CDI ; coherent diffractive imaging ; CFD ; computational fluid dynamics ; CT ; computed tomography ; DOHT ; distance-ordered homotopic thinning ; D-PNM ; dual pore network model ; EDS or EDX ; energy-dispersive
• 刊名：Earth Science Reviews
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：155
• 期：Complete
• 页码：93-128
• 全文大小：7367 K

文摘

Fluid flow and mass transport in geological materials are crucial in diverse Earth science applications. To fully understand the behavior of geological materials in this context, the pore scale properties of these materials have to be investigated and related to effective material properties. Imaging techniques are becoming ever more valuable tools to characterize the microstructure (especially in three dimensions), while numerical models to calculate transport properties based on experimental images of the microstructure are quickly maturing. The results of image-based modeling studies depend crucially on both the employed model and the quality of the pore space image on which the model runs. Given the technicality and the cross-disciplinary nature of this matter, this review aims to provide a practical and accessible introduction to both the experimental and numerical state-of-the-art, intended for students and researchers with backgrounds in experimental geo-sciences or computational sciences alike.