Image analysis and estimation of porosity and permeability of Arnager Greensand, Upper Cretaceous, Denmark

Solymar, Mikael; Fabricius, Ida Lykke

doi:10.1016/s1464-1895(99)00084-8

Cited by 24 publications

(11 citation statements)

References 5 publications

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“…Future work will use image analysis to estimate permeability of liver tissue samples similar to approaches for geological materials. 33 Results of the parameter study also suggest that neglecting the influence of strain-dependent permeability was reasonable in the current model, since changes in permeability over several orders of magnitude resulted in small (%1%) changes in peak force. For future simulations over larger strains, strain-dependent permeability may be incorporated using Eq.…”

Section: Discussionmentioning

confidence: 83%

Poroviscoelastic Modeling of Liver Biomechanical Response in Unconfined Compression

2010

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Mechanistic modeling approaches are important for understanding how fluid and solid components of the liver interact during impact trauma. This study uses poroviscoelasticity (PVE) theory to simulate liver biomechanical response in unconfined compression stress relaxation experiments, for variable ramp strain rates ranging from 0.001 to 0.1 s(-1). Specimens included 17 ex vivo porcine liver samples tested in a humidified temperature-controlled chamber. Liver response was modeled using ABAQUS, and best-fit parameters were determined using non-linear least-squares algorithms. The PVE model was able to capture the behavior of porcine liver in unconfined compression, with regression analyses for the ramp phase demonstrating high correlation between model and experiment (R(2) > 0.993, slope > 0.833, p < 0.05). The advantage of PVE modeling over traditional viscoelastic modeling is the ability to examine interstitial fluid pressure as a contributor to tissue mechanical response. This strategy creates new opportunities for quantifying an injury mechanism (burst injury) that is common in blunt abdominal trauma, and will lead to advancement of high-fidelity virtual crash test dummies, and improved vehicle safety.

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Section: Discussionmentioning

confidence: 83%

Poroviscoelastic Modeling of Liver Biomechanical Response in Unconfined Compression

2010

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“…The method and its validation with respect to volume porosity in actual rock material has been discussed elsewhere (e.g. Anselmatti et al, 1998;Solymar and Fabricius, 1999;Talukadar et al, 2002;Johansen et al, 2005;Hadizadeh et al, 2010). Anselmatti et al (1998) and Talukadar et al (2002) showed that volume porosity of an isotropic porous medium is well-represented by its 2D porosity determined through image analysis.…”

Section: Textural Measurementsmentioning

confidence: 97%

Shear localization, velocity weakening behavior, and development of cataclastic foliation in experimental granite gouge

Hadizadeh

Tullis

White

et al. 2015

Journal of Structural Geology

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“…Pore 172 system images were collected from the bottom, centre and top of each thin section and 173 labelled B, C and T respectively (Figure 3 a). As a result, a minimum of 18 photomicrographs 174 were used to quantify the porosity on each thin section, which is consistent with the quoted 175 number of field of views required to enable representative image analysis porosity 176 quantification (Ehrlich et al, 1991;Solymar and Fabricius, 1999). 177…”

mentioning

confidence: 88%

“…It is suggested that 15 to 30 fields of view are necessary to accurately represent the porosity 289 in reservoir rocks (Ehrlich et al, 1991;Solymar and Fabricius, 1999). However, as shown in 290 the previous section, the magnification of the fields of view must be considered.…”

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confidence: 99%

The impact of carbonate texture on the quantification of total porosity by image analysis

Haines

Neilson

Healy

et al. 2015

Computers & Geosciences

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21Image analysis is widely used to quantify porosity because, in addition to porosity, it can 22 provide quantitative pore system information, such as pore sizes and shapes. Despite its wide 23 use, no standard image analysis workflow exists. When employing image analysis, a 24 workflow must be developed and evaluated to understand the methodological pitfalls and 25 assumptions to enable accurate quantification of total porosity. This study presents an image 26 analysis workflow that is used to quantify total porosity in a range of carbonate lithofacies. 27This study uses stitched BSE-SEM photomicrographs to construct greyscale pore system 28 images, which are systematically thresholded to produce binary images composed of a pore 29 phase and a rock phase. The ratio of the area of the pore phase to the total area of the pore 30 system image defines the total porosity. Image analysis total porosity is compared with total 31 porosity quantified by standard porosimetry techniques (He-porosimetry and Mercury 32 injection capillary pressure (MICP) porosimetry) to understand the systematics of the 33 workflow. The impact of carbonate textures on image analysis porosity quantification is also 34 assessed. 35A comparison between image analysis, He-porosimetry and MICP total porosity indicates 36 that the image analysis workflow used in this study can accurately quantify or underestimate 37 total porosity depending on the lithofacies textures and pore systems. The porosity of 38 wackestone lithofacies tends to be significantly underestimated (i.e. greater than 10 %) by 39 image analysis, whereas packstone, grainstone, rudstone and floatstone lithofacies tend to be 40 accurately estimated or slightly underestimated (i.e. 5 % or less) by image analysis. The 41 underestimation of image analysis porosity in the wackestone lithofacies is correlated to the 42 quantity of matrix pore types and is thought to be caused by incomplete imaging of micro 43 porosity and by non-representative field of views. Image analysis porosity, which is 44 calculated from 2D areas, is comparable with 3D porosity volumes in lithofacies that lack or 45

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Image analysis and estimation of porosity and permeability of Arnager Greensand, Upper Cretaceous, Denmark

Cited by 24 publications

References 5 publications

Poroviscoelastic Modeling of Liver Biomechanical Response in Unconfined Compression

Poroviscoelastic Modeling of Liver Biomechanical Response in Unconfined Compression

Shear localization, velocity weakening behavior, and development of cataclastic foliation in experimental granite gouge

The impact of carbonate texture on the quantification of total porosity by image analysis

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