Abstract

Abstract. The aim of this study is to compare the structural, geometrical and transport parameters of a limestone rock sample determined by X-ray microtomography (XMT) images and laboratory experiments. Total and effective porosity, pore-size distribution, tortuosity, and effective diffusion coefficient have been estimated. Sensitivity analyses of the segmentation parameters have been performed. The limestone rock sample studied here has been characterized using both approaches before and after a reactive percolation experiment. Strong dissolution process occurred during the percolation, promoting a wormhole formation. This strong heterogeneity formed after the percolation step allows us to apply our methodology to two different samples and enhance the use of experimental techniques or XMT images depending on the rock heterogeneity. We established that for most of the parameters calculated here, the values obtained by computing XMT images are in agreement with the classical laboratory measurements. We demonstrated that the computational porosity is more informative than the laboratory measurement. We observed that pore-size distributions obtained by XMT images and laboratory experiments are slightly different but complementary. Regarding the effective diffusion coefficient, we concluded that both approaches are valuable and give similar results. Nevertheless, we concluded that computing XMT images to determine transport, geometrical, and petrophysical parameters provide similar results to those measured at the laboratory but with much shorter durations.

Highlights

  • Characterizing the rock pore structure such as the porosity, the total pore–rock interface and the connectivity is essential to evaluate oil or gas production or volume of stored CO2 in case of geological sequestration, for example

  • We established that for most of the parameters calculated here, the values obtained by computing X-ray microtomography (XMT) images are in agreement with the classical laboratory measurements

  • We have shown that microtomographic imaging hardware and computational techniques have progressed to the point where properties such as effective diffusion coefficient, conductivity and pore-size distribution can be calculated on large three-dimensional digitized images of real core rock sample

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Summary

Introduction

Characterizing the rock pore structure such as the porosity, the total pore–rock interface and the connectivity is essential to evaluate oil or gas production or volume of stored CO2 in case of geological sequestration, for example. Connectivity as well as permeability and tortuosity allow us to quantify the ability to extract or inject fluids. The higher the connectivity and permeability are and the lower the tortuosity is, the higher the extraction or injection flow rate will be. The advection transport is controlled by the permeability of the reservoir (mainly controlled by fracture or preferential flow path as wormhole or karst conduit), whereas the diffusion through the matrix depends of the effective diffusion coefficient, which is linked to tortuosity, effective porosity and cementation factor (Archie, 1942; Fick, 1855). Of either gas or liquid phase, could

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