ABSTRACT In this paper, the methods of digital rock physics are applied to determine pressure‐dependent effective thermal conductivity in samples. Simulations performed with an in‐house three‐dimensional finite volume code. first step, four numerical models derived from a given tomographic scan Berea sandstone. Consequently, simulations at ambient conditions and validated experimental data. sec...

Low salinity water flooding is a promising enhanced oil recovery technique that has been observed, in experiments over range of scales, to increase production by up 14% some systems. However, there still no way reliably predicting which systems will respond favourably the technique. This shortcoming partly because relative lack pore scale observations low flooding. led poor understanding how me...

To predict multiphase flow through geologically realistic porous media, it is necessary to have a three-dimensional (3D) representation of the pore space. We use multiple-point statistics based on two-dimensional (2D) thin sections as training images to generate geologically realistic 3D pore-space representations. Thin-section images can provide multiple-point statistics, which describe the st...

Interpretation of the relationship between heterogeneity and flow in porous media is very important increasing recovery factor for an oil or gas reservoir. Capillarity instance, controls fluids static distribution a reservoir prior to production remaining hydrocarbons after commences. Therefore, capillary pressure data are used by petroleum engineers, geologists, petrophysicists evaluate charac...

[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 pr...

[1] A physically based description is provided for the transverse dispersion coefficient in porous media as a function of Péclet number, Pe. We represent the porous medium as lattices of bonds with square cross section whose radius distribution is the same as computed for Berea sandstone and describe flow (Stokes equation) and diffusion (random walk method) at the pore scale ( mm) to compute th...

Formation elastic properties near a borehole may be altered from their original state due to the stress concentration around the borehole. This could result in a biased estimation of formation properties but could provide a means to estimate in situ stress from sonic logging data. In order to properly account for the formation property alteration, we propose an iterative numerical approach to c...

Accurate prediction and understanding of the disorder microstructures in the porous media contribute to acquiring the macroscopic physical properties such as conductivity, permeability, formation factor, elastic moduli etc. Based on the rock serial sectioning images of Berea sandstone acquired by the core scanning system developed by our research group, the reconstructed rock model is establish...