2010
DOI: 10.1016/j.ijrmms.2009.09.004
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Description and classification of rock surfaces by means of laser profilometry and mathematical morphology

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Cited by 45 publications
(16 citation statements)
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“…X-ray CT can achieve wider field of view and very high resolution in 3D space (Ge et al, 2015). Despite the lower resolution in comparison with µxCT and SEM images, the thin section images have other advantages such as a wider range of view, saved time and cheaper availability for petrophysical studies, such as pore microstructure (Desbois et al, 2011;Rabbani et al, 2014a;Borazjani et al, 2016;Gundogar et al, 2016;Rabbani et al, 2016;Xiao et al, 2016), mineral recognition and classification (Hofmann et al, 2013;Asmussen et al, 2015;Izadi et al, 2015;Izadi et al, 2017b), specific surface area (Rabbani and Jamshidi, 2014;Rabbani et al, 2014b), elastic modulus (Arns et al, 2002;Dvorkin et al, 2011;Madonna et al, 2012;Saxena and Mavko, 2016), rock type determination (Mynarczuk, 2010;Mynarczuk et al, 2013;Ge et al, 2015;Mollajan et al, 2016), pore-grain analysis (Rabbani and Jamshidi, 2014;Rabbani et al, 2014b;Song et al, 2016), flowing property (Peng et al, 2016;Wang et al, 2016b). Using thin section images, the interconnected pore structure can be marked out visually as they are filled by color epoxy resin.…”
Section: Petrophysical Characterization Based On Thin Section Analysismentioning
confidence: 99%
“…X-ray CT can achieve wider field of view and very high resolution in 3D space (Ge et al, 2015). Despite the lower resolution in comparison with µxCT and SEM images, the thin section images have other advantages such as a wider range of view, saved time and cheaper availability for petrophysical studies, such as pore microstructure (Desbois et al, 2011;Rabbani et al, 2014a;Borazjani et al, 2016;Gundogar et al, 2016;Rabbani et al, 2016;Xiao et al, 2016), mineral recognition and classification (Hofmann et al, 2013;Asmussen et al, 2015;Izadi et al, 2015;Izadi et al, 2017b), specific surface area (Rabbani and Jamshidi, 2014;Rabbani et al, 2014b), elastic modulus (Arns et al, 2002;Dvorkin et al, 2011;Madonna et al, 2012;Saxena and Mavko, 2016), rock type determination (Mynarczuk, 2010;Mynarczuk et al, 2013;Ge et al, 2015;Mollajan et al, 2016), pore-grain analysis (Rabbani and Jamshidi, 2014;Rabbani et al, 2014b;Song et al, 2016), flowing property (Peng et al, 2016;Wang et al, 2016b). Using thin section images, the interconnected pore structure can be marked out visually as they are filled by color epoxy resin.…”
Section: Petrophysical Characterization Based On Thin Section Analysismentioning
confidence: 99%
“…The authors used this as a basis for determining the parameters of content differentiation (Table 1). Due to the particular nature of the research, the stereological parameters of materials were not used, as their extraction would necessitate adopting different segmentation algorithms [20] for different rock types. Such an approach rules out their universal usability in relation to the construction of the proposed system.…”
Section: Determination Of the Characteristics Identifying Photographsmentioning
confidence: 99%
“…Various authors propose various types of such filtration -e.g. using the Fourier transform (Hocheng & Hsieh, 2004), the wavelet method (Chen et al, 1999), or morphological filters (Młynarczuk, 2010). The measurements discussed in this chapter were carried out according to the guidelines specified in the ISO 11562, and with a 2.5 mm Gaussian filter.…”
Section: Standard Iso Parametersmentioning
confidence: 99%