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Journal ArticleDOI

X-ray imaging and analysis techniques for quantifying pore-scale structure and processes in subsurface porous medium systems

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TLDR
X-ray microtomographic imaging is a non-destructive technique for quantifying these processes in three dimensions within individual pores, and as reported here, with rapidly increasing spatial and temporal resolution.
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This article is published in Advances in Water Resources.The article was published on 2013-01-01. It has received 968 citations till now. The article focuses on the topics: Porous medium & Multiphase flow.

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Pore-scale imaging and modelling

TL;DR: Pore-scale imaging and modelling is becoming a routine service in the oil and gas industry as discussed by the authors, and has potential applications in contaminant transport and carbon dioxide storage, which has been shown to transform our understanding of multiphase flow processes.
Journal ArticleDOI

High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications

TL;DR: A review of the principle, the advantages and limitations of X-ray CT itself are presented, together with an overview of some current applications of micro-CT in geosciences.
Journal ArticleDOI

Characterization and Analysis of Porosity and Pore Structures

TL;DR: There are a large number of methods for quantifying porosity, and an increasingly complex idea of what it means to do so as discussed by the authors, which is why it is important to quantify the relationships between porosity and storage, transport and rock properties, however, the pore structure must be measured and quantitatively described.
Journal ArticleDOI

Soil structure as an indicator of soil functions: A review

TL;DR: In this paper, the potential of observable soil structural attributes to be used in the assessment of soil functions is evaluated and discussed from a methodological point of view and with respect to their relevance to soil functions.
Journal ArticleDOI

Image processing of multiphase images obtained via X-ray microtomography: A review

TL;DR: In this article, the authors focus on multiclass segmentation and detailed descriptions as to why a specific method may fail together with strategies for preventing the failure by applying suitable image enhancement prior to segmentation.
References
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Journal ArticleDOI

Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

TL;DR: The analogy between images and statistical mechanics systems is made and the analogous operation under the posterior distribution yields the maximum a posteriori (MAP) estimate of the image given the degraded observations, creating a highly parallel ``relaxation'' algorithm for MAP estimation.
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Normalized cuts and image segmentation

TL;DR: This work treats image segmentation as a graph partitioning problem and proposes a novel global criterion, the normalized cut, for segmenting the graph, which measures both the total dissimilarity between the different groups as well as the total similarity within the groups.
Proceedings ArticleDOI

Marching cubes: A high resolution 3D surface construction algorithm

TL;DR: In this paper, a divide-and-conquer approach is used to generate inter-slice connectivity, and then a case table is created to define triangle topology using linear interpolation.
Journal ArticleDOI

Scale-space and edge detection using anisotropic diffusion

TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
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