Pore structure changes during decomposition of fresh residue: X-ray tomography analyses

Gryze, Steven De; Jassogne, Laurence; Six, Johan; Bossuyt, Heleen; Wevers, Martine; Merckx, Roel

doi:10.1016/j.geoderma.2005.09.002

Cited by 118 publications

(62 citation statements)

References 47 publications

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“…In addition, overall greater heterogeneity in pore distributions in NT and NS aggregates could result from interactions between greater stability of pore space due to organic, for example, DOC, inputs and formation of microcracks due to wetting/ drying and freezing/thawing processes (De Gryze et al, 2006). Associations between organic matter content and fractal characteristics of macro-aggregates have been noted in other studies (e.g., Guber et al, 2005).…”

Section: Actual and Relative Fractal Dimensionsmentioning

confidence: 60%

“…It is likely that once the macro-aggregates break into micro-aggregates, they do so along the pores >15 μm, especially along the 15 to 60 μm micro-cracks. Even though no direct relationships between aggregate pore characteristics and aggregate stability were observed previously (De Gryze et al, 2006;Papadopoulos et al, 2009), however, as pointed by Bresson and Moran (2004), such relationships might be a complex function where aggregates' physical characteristics are related to pores of some but not other sizes. Our results appear to support this notion.…”

Section: Numbers Of Pore Voxelsmentioning

confidence: 89%

“…In the fractal analysis of soil images the boxes of the smallest size are typically the image pixels/voxels that have been classifi ed as pores and their overall number is closely related to porosity. Indeed, positive relationships between box-counting fractal dimension and porosity are invariably reported (e.g., De Gryze et al, 2006;Chun et al, 2008;Tarquis et al, 2009). Th is infl uence of porosity on fractal dimension values somewhat limits its usefulness as a measure of heterogeneity in pore distribution patterns.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Long-term Differences in Tillage and Land Use Affect Intra-aggregate Pore Heterogeneity

Kravchenko

Wang

Smucker

et al. 2011

Soil Science Society of America Journal

110

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Section: Actual and Relative Fractal Dimensionsmentioning

confidence: 60%

Section: Numbers Of Pore Voxelsmentioning

confidence: 89%

mentioning

confidence: 99%

See 1 more Smart Citation

Long-term Differences in Tillage and Land Use Affect Intra-aggregate Pore Heterogeneity

Kravchenko

Wang

Smucker

et al. 2011

Soil Science Society of America Journal

110

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“…X-ray CT has had a variety of useful applications in studies of soil physics (e.g. [2]- [6]), but studies of biological properties have turned out to be dif-ficult as organic matter has a similar X-ray attenuation as air [7].…”

Section: Introductionmentioning

confidence: 99%

X-Ray Computed Tomography for Root Quantification

Foereid¹

2015

OJSS

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Soil cores from a field growing barley and barley mutants without root hairs under conventional and minimum tillage were sampled. They were X-ray scanned to produce a 3D image and then the roots were washed out and weight and length were determined by conventional means. Root volume and surface area were then calculated from the 3D images using state of the art software and methodology, and the measured and calculated measures were correlated. The only strong and significant correlation was between measured weight and calculated volume for mutants without root hairs. It is concluded that the software cannot segment out very small roots, but segmentation accuracy also depends on root structure in some unknown way. Any study using X-ray computed tomography to quantify roots as they grow in situ should start with a calibration for the conditions in question.

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“…It is already routinely applied in petroleum engineering to image reservoir lithologies undergoing secondary and tertiary recovery processes ͑Wellington and Vineagar, 1987;Dunsmuir, 1991;Withjack et al, 2003͒. X-ray tomography increasingly is used to characterize soils ͑Peyton et al., 1992;De Gryze et al, 2006͒ androcks ͑Arns et al, 2002͒, to produce input models for numerical algorithms that calculate transport properties of rocks ͑Arns et al, 2001; Arns et al, 2004;Arns et al, 2005͒, and to calculate elastic properties ͑Arns et al, 2002͒. In fact, it is being used in many applications spanning the geoscience field ͑Ket-cham and Carlson, 2001͒.…”

Section: Introductionmentioning

confidence: 99%

Statistical characterization of gas-patch distributions in partially saturated rocks

et al. 2009

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Reservoir rocks are often saturated by two or more fluid phases forming complex patterns on all length scales. The objective of this work is to quantify the geometry of fluid phase distribution in partially saturated porous rocks using statistical methods and to model the associated acoustic signatures. Based on X-ray tomographic images at submillimeter resolution obtained during a gasinjection experiment, the spatial distribution of the gas phase in initially water-saturated limestone samples are constructed. Maps of the continuous variation of the percentage of gas saturation are computed and associated binary maps obtained through a global thresholding technique. The autocorrelation function is derived via the two-point probability function computed from the binary gas-distribution maps using Monte Carlo simulations.The autocorrelation function can be approximated well by a single Debye correlation function or a superposition of two such functions. The characteristic length scales and show sensitivity ͑and hence significance͒ with respect to the percentage of gas saturation. An almost linear decrease of the Debye correlation length occurs with increasing gas saturation. It is concluded that correlation function and correlation length provide useful statistical information to quantify fluid-saturation patterns and changes in these patterns at the mesoscale. These spatial statistical measures are linked to a model that predicts compressional wave attenuation and dispersion from local, wave-induced fluid flow in randomly heterogeneous poroelastic solids. In particular, for a limestone sample, with flow permeability of 5 darcies and an average gas saturation of ϳ5%, significant P-wave attenuation is predicted at ultrasonic frequencies.

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Pore structure changes during decomposition of fresh residue: X-ray tomography analyses

Cited by 118 publications

References 47 publications

Long-term Differences in Tillage and Land Use Affect Intra-aggregate Pore Heterogeneity

Long-term Differences in Tillage and Land Use Affect Intra-aggregate Pore Heterogeneity

X-Ray Computed Tomography for Root Quantification

Statistical characterization of gas-patch distributions in partially saturated rocks

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