the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating porosity estimates for sandstones based on X-ray micro-tomographic images
Abstract. We compare experimentally determined porosity with values derived from X-ray tomography for a suite of eight sandstone varieties covering a porosity range from about 3 to 25 %. In addition, we performed conventional stereological analysis of SEM images and examined thin sections. We investigated the sensitivity of segmentation, the conversion of the tomographic gray-value images representing the obtained X-ray attenuation coefficients into binary images, to (a) resolution of the digital images, (b) denoising filters, and (c) seven thresholding methods. Images of sandstones with porosities of 15 to 25 % exhibit a bimodal intensity distribution of the attenuation coefficients, enabling unambiguous segmentation that gives porosity values closely matching the laboratory values. For samples with lower porosities, pores and grains do not separate well in the skewed unimodal intensity histograms. For these samples, all tested thresholding methods tend to miscalculate porosity significantly. In addition to absolute porosity, the ratio between pore size and resolution, and mineralogical composition of the rocks affect the biases of the global segmentation methods.
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Interactive discussion
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RC1: 'Theoretical resolution limit', Anonymous Referee #1, 12 Mar 2019
- AC1: 'Author comment to reviewer 1', Mathias Nehler, 04 May 2019
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RC2: 'Review', Edward Andò, 29 Mar 2019
- AC2: 'Author comment to reviewer 2', Mathias Nehler, 04 May 2019
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RC3: 'Review of the paper', Anonymous Referee #3, 02 Apr 2019
- AC3: 'Author comment to reviewer 3', Mathias Nehler, 04 May 2019
Interactive discussion
-
RC1: 'Theoretical resolution limit', Anonymous Referee #1, 12 Mar 2019
- AC1: 'Author comment to reviewer 1', Mathias Nehler, 04 May 2019
-
RC2: 'Review', Edward Andò, 29 Mar 2019
- AC2: 'Author comment to reviewer 2', Mathias Nehler, 04 May 2019
-
RC3: 'Review of the paper', Anonymous Referee #3, 02 Apr 2019
- AC3: 'Author comment to reviewer 3', Mathias Nehler, 04 May 2019
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Cited
3 citations as recorded by crossref.
- Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution S. Perez & P. Poncet 10.1007/s10596-024-10313-x
- Contemporary Approach to the Porosity of Dental Materials and Methods of Its Measurement K. Sarna-Boś et al. 10.3390/ijms22168903
- Rock characterization integrating free-free resonant column measurements and X-ray computed tomography imaging C. Valle-Molina et al. 10.1007/s40948-022-00476-1