Micro-computed tomography pore-scale study of flow in porous media: Effect of voxel resolution |
| |
| Institution: | 1. Thermo Fisher Scientific, Norway;2. Australian National University, Australia;3. Petricore Norway AS, Norway;1. Shell Global Solutions International B.V., Kessler Park 1, 2288 GS Rijswijk, The Netherlands;2. Geosciences Institute, Johannes Gutenberg University, Becherweg 21, 55099 Mainz, Germany;3. Department of Petroleum Engineering, Montanuniversität Leoben, A-8700 Leoben, Austria;4. School of Petroleum Engineering, University of New South Wales, NSW 2052 Sydney, Australia;5. Technical University of Delft, The Netherlands;6. Math2Market GmbH, Stiftsplatz 5, 67655 Kaiserslautern, Germany;1. UGCT/PProGRess, Department of Geology and Soil Science, Ghent University, Krijgslaan 281 (S8), 9000 Ghent, Belgium;2. X-Ray Engineering bvba, De Pintelaan 111, 9000 Ghent, Belgium;3. UGCT/Radiation Physics, Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, 9000 Ghent, Belgium;1. Shell International Exploration and Production Inc., 3333 Highway 6 S, Houston, TX 77082, USA;2. Rice University, Department of Computational & Applied Mathematics, 6100 Main Street - MS 134, Houston, TX 77005, USA;3. Shell Global Solutions International B.V., Badhuisweg 3, 1031 CM Amsterdam, The Netherlands;4. Department of Earth Science & Engineering, Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom;5. Qatar Carbonates and Carbon Storage Research Centre, Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom;1. School of Petroleum Engineering, UNSW, Sydney, Australia;2. Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;1. Graduate Institute of Hydrological and Oceanic Science, National Central University, No. 300, Jhongda Rd., Jhongli City, Taoyuan County 320, Taiwan (ROC);2. Environmental Health Sciences, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD 21205, US |
| |
| Abstract: | A fundamental understanding of flow in porous media at the pore-scale is necessary to be able to upscale average displacement processes from core to reservoir scale. The study of fluid flow in porous media at the pore-scale consists of two key procedures: Imaging - reconstruction of three-dimensional (3D) pore space images; and modelling such as with single and two-phase flow simulations with Lattice-Boltzmann (LB) or Pore-Network (PN) Modelling. Here we analyse pore-scale results to predict petrophysical properties such as porosity, single-phase permeability and multi-phase properties at different length scales. The fundamental issue is to understand the image resolution dependency of transport properties, in order to up-scale the flow physics from pore to core scale. In this work, we use a high resolution micro-computed tomography (micro-CT) scanner to image and reconstruct three dimensional pore-scale images of five sandstones (Bentheimer, Berea, Clashach, Doddington and Stainton) and five complex carbonates (Ketton, Estaillades, Middle Eastern sample 3, Middle Eastern sample 5 and Indiana Limestone 1) at four different voxel resolutions (4.4 µm, 6.2 µm, 8.3 µm and 10.2 µm), scanning the same physical field of view. Implementing three phase segmentation (macro-pore phase, intermediate phase and grain phase) on pore-scale images helps to understand the importance of connected macro-porosity in the fluid flow for the samples studied. We then compute the petrophysical properties for all the samples using PN and LB simulations in order to study the influence of voxel resolution on petrophysical properties. We then introduce a numerical coarsening scheme which is used to coarsen a high voxel resolution image (4.4 µm) to lower resolutions (6.2 µm, 8.3 µm and 10.2 µm) and study the impact of coarsening data on macroscopic and multi-phase properties. Numerical coarsening of high resolution data is found to be superior to using a lower resolution scan because it avoids the problem of partial volume effects and reduces the scaling effect by preserving the pore-space properties influencing the transport properties. This is evidently compared in this study by predicting several pore network properties such as number of pores and throats, average pore and throat radius and coordination number for both scan based analysis and numerical coarsened data. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
