https://cyberleninka.org/article/n/22310.pdf

Pore-scale imaging and modelling

/pdf/high-resolution-x-ray-computed-tomography-in-geosciences-a-3sj7249knj.pdf

High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications

http://research.engr.oregonstate.edu/immiscibles/sites/research.engr.oregonstate.edu.immiscibles/files/Papers/Wildenschild_Sheppard_AWR_2012.pdf

X-ray imaging and analysis techniques for quantifying pore-scale structure and processes in subsurface porous medium systems

Detailed physics, predictive capabilities and macroscopic consequences for pore-network models of multiphase flow.

[1] We show how to predict flow properties for a variety of porous media using pore-scale modeling with geologically realistic networks Starting with a network representation of Berea sandstone, the pore size distribution is adjusted to match capillary pressure for different media, keeping the rank order of pore sizes and the network topology fixed Then predictions of single and multiphase properties are made with no further adjustment of the model We successfully predict relative permeability and oil recovery for water wet, oil wet, and mixed wet data sets For water flooding we introduce a method for assigning contact angles to match measured wettability indices The aim of this work is not simply to match experiments but to use easily acquired data to predict difficult to measure properties Furthermore, the variation of these properties in the field, due to wettability trends and different pore structures, can now be predicted reliably

/pdf/predictive-pore-scale-modeling-of-two-phase-flow-in-mixed-4ra55c1c53.pdf

Predictive pore-scale modeling of two-phase flow in mixed wet media

Computed microtomography is applied to a piece of Fontainebleau sandstone in order to determine the geometrical structure of the pores. The topology of the void space is then derived from the tomographic image of the volume. Permeability and conductivity are computed and found in good agreement with experimental data. Perspectives offered by this new nondestructive method with a potential resolution of the order of one micrometer or less are analyzed.

Synchrotron computed microtomography of porous media: Topology and transports.

Polymerization of monomers over heterogeneous catalysts results in the fragmentation of the catalysts and subsequent transport in the polymer particles that are produced. Characterization of the process using nondestructive synchrotron computed microtomography techniques makes possible measurement of the distribution of the catalyst fragments in an individual particle and, in addition, gives an estimate of the particle porosity and surface area. The present experiment was carried out using the X-ray microscopy facility at the Brookhaven National Synchrotron Light Source (NSLS) X26 beam line. The tomographic sections were analyzed using autocorrelation techniques to determine porosity and surface area values. The results are compared to values obtained using conventional methods. This procedure makes possible the extraction of quantitative information about porosity and specific area from the tomograms.

/pdf/determination-of-polymerization-particle-morphology-using-256h4bke0f.pdf

W.B. Lindquist

Papers

Synchrotron computed microtomography of porous media: Topology and transports.

Determination of polymerization particle morphology using synchrotron computed microtomography