Computation of linear elastic properties from microtomographic images: Methodology and agreement between theory and experiment

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Digital rock physics: numerical prediction of pressure-dependent ultrasonic velocities using micro-CT imaging (2012, methodology): “Because the tomographic images do not resolve the small-scale pore and crack network of the sample, we hypothesize that the numerical overprediction is attributable to the smallest pores and grain-to-grain contacts that are missing in the images.”
Digital rock physics benchmarks - part II: Computing effective properties (2013, methodology): “Two popular methods for computing static elastic and electrical properties from digital rock images are the finite-element and finite-difference methods (Garboczi, 1998; Arns et al., 2002; Xuefeng et al., 2009; Zhan et al., 2010).”
Modeling the linear elastic properties of Portland cement paste (2005, methodology): “D [17], model open-and closed-cell foams [18,19], sedimentary rocks [20], and leached cement paste [21].”
Relative Permeability Calculations from Two-Phase Flow Simulations Directly on Digital Images of Porous Rocks (2012, methodology): “This has been made possible by significant improvements in imaging (e.g. Arns et al. 2002) and modeling (e.g. Øren and Bakke 2002) of rock microstructures and by the rapid increase in computational power.”