Computed microtomography and numerical study of porous rock samples

Bielecki, J.; Jarzyna, J.; Bożek, S.; Lekki, Janusz; Stachura, Z.; Kwiatek, Wojciech M.

doi:10.1016/j.radphyschem.2013.03.050

Cited by 11 publications

(9 citation statements)

References 8 publications

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“…For more information on the principle of CT, the reader is referred to the excellent review articles by Taina et al (2008) and Helliwell et al (2013) Applications of CT and other techniques in soil and root studies This section will discuss the application of CT and other imaging techniques in soil-roots studies. Since the first attempts to characterize soil properties using CT, huge progress has been made with regard to the use of the technology in soil science with extensive report focused on soil structural properties (Jegou et al 2000(Jegou et al , 2001Al-Raoush & Willson 2005;Schrader et al 2007;Tippkötter et al 2009;Bielecki et al 2013;Ojeda-Magana et al 2014) and roots features (Hainsworth & Aylmore 1983;Tollner et al 1987a;Kaestner et al 2006;Mooney et al 2006;Schmidt et al 2010;Tracy et al 2015a) and the kind of interactions existing within the soil system.…”

Section: Principle and Guidelines Of Operation Of Ct In Soil Researchmentioning

confidence: 99%

Combining X-ray computed tomography with relevant techniques for analyzing soil–root dynamics – an overview

Mao

Kumi

et al. 2015

Acta Agriculturae Scandinavica, Section B — Soil & Plant Sc

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The study of below-ground features of roots and soil and their interactions is essential for understanding the configuration and diversities in such a dynamic environment. X-ray computed tomography is recognized as a tool for visualizing the physical interactions in the soil. In many studies, it has been used as a stand-alone tool to describe soil and root parameters. However, in recent times, attempts to couple it with other complementary tools are gaining rapid interest among researchers. The paper therefore provides an overview of the major application of combining X-ray computed tomography with other relevant methods in analyzing the structural characteristics of roots and soil media. The relevance of using this multidisciplinary approach for unraveling the mysteries surrounding root-soil dynamic interactions is stressed. The current and future trends of such studies are also pointed out.

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Section: Principle and Guidelines Of Operation Of Ct In Soil Researchmentioning

confidence: 99%

Combining X-ray computed tomography with relevant techniques for analyzing soil–root dynamics – an overview

Mao

Kumi

et al. 2015

Acta Agriculturae Scandinavica, Section B — Soil & Plant Sc

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“…The step by step nature of µCT use in the field of geosciences, involving data acquisition, reconstruction process and image processing field, was described in some depth by [2], [9], [17]. The major advantage of µCT is its ability to study rock internal structure ( [1], [3], [4], [13], [18]). The structure details supplied by µCT even makes it pos-Ł.D.…”

Section: Introductionmentioning

confidence: 99%

Numerical Approach in Recognition of Selected Features of Rock Structure from Hybrid Hydrocarbon Reservoir Samples Based on Microtomography

Kaczmarek

Zhao

Konietzky

et al. 2017

Studia Geotechnica Et Mechanica

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Abstract:The study employs numerical calculations in the characterization of reservoir sandstone samples based on high-resolution X-ray computed microtomography. The major goals were to determine porosity through pore size distribution, permeability characterization through pressure field, and structure impact on rock strength by simulation of a uniaxial compression test. Two Miocene samples were taken from well S-3, located in the eastern part of the Carpathian Foredeep. Due to the relation between sample size and image resolution, two X-ray irradiation series with two different sample sizes were performed. In the first approach, the voxel side was 27 µm and in the second it was up to 2 µm. Two samples from different depths have been studied here. Sample 1 has petrophysical features of conventional reservoir deposits, in contrast to sample 2. The approximate grain size of sample 1 is in the range 0.1-1.0 mm, whereas for sample 2 it is 0.01-0.1 mm with clear sedimentation lamination and heterogenic structure. The porosity, as determined by µCT, of sample 1 is twice (10.3%) that of sample 2 (5.3%). The equivalent diameter of a majority of pores is less than 0.027 mm and their pore size distribution is unimodal right-hand asymmetrical in the case of both samples. In relation to numerical permeability tests, the flow paths are in the few privileged directions where the pressure is uniformly decreasing. Nevertheless, there are visible connections in sample 1, as is confirmed by the homogenous distribution of particles in the pore space of the sample and demonstrated in the particle flow simulations. The estimated permeability of the first sample is approximately four times higher than that of the second one. The uniaxial compression test demonstrated the huge impact of even minimal heterogeneity of samples in terms of micropores: 4-5 times loss of strength compared to the undisturbed sample. The procedure presented shows the promising combination of microstructural analysis and numerical simulations. More specific calculations of lab tests with analysis of variable boundary conditions should be performed in the future.

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“…The theoretical basis of lCT was very well described by Ketcham and Carlson (2001), Baker et al (2012) and by Gnudde and Boone (2013) in the review articles. Examples of lCT analysis of various types of porous media were presented in articles by Appoloni et al (2007), Bielecki et al (2013), Kaczmarek et al (2015). lCT has also been used for analysis of flow through rock specimens by: Petchsingto and Karpyn (2009), Dvorkin et al (2009).…”

Section: Introductionmentioning

confidence: 99%

High-resolution computed microtomography for the characterization of a diffusion tensor imaging phantom

et al. 2017

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This paper addresses the issue of the quantitative characterization of the structure of the calibration model (phantom) for b-matrix spatial distribution diffusion tensor imaging (BSD-DTI) scanners. The aim of this study was to verify manufacturing assumptions of the structure of materials, since phantoms are used for BSD-DTI calibration directly after manufacturing. Visualization of the phantoms' structure was achieved through optical microscopy and high-resolution computed microtomography (lCT). Using lCT images, a numerical model of the materials structure was developed for further quantitative analysis. 3D image characterization was performed to determine crucial structural parameters of the phantom: porosity, uniformity and distribution of equivalent diameter of capillary bundles. Additionally calculations of hypothetical flow streamlines were also performed based on the numerical model that was developed. The results obtained in this study can be used in the calibration of DTI-BST measurements. However, it was found that the structure of the phantom exhibits flaws and discrepancies from the assumed geometry which might affect BSD-DTI calibration.

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Computed microtomography and numerical study of porous rock samples

Cited by 11 publications

References 8 publications

Combining X-ray computed tomography with relevant techniques for analyzing soil–root dynamics – an overview

Combining X-ray computed tomography with relevant techniques for analyzing soil–root dynamics – an overview

Numerical Approach in Recognition of Selected Features of Rock Structure from Hybrid Hydrocarbon Reservoir Samples Based on Microtomography

High-resolution computed microtomography for the characterization of a diffusion tensor imaging phantom

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