2011
DOI: 10.25249/0375-7536.2011413498508
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A microtomografia computadorizada de raios x integrada à petrografia no estudo tridimensional de porosidade em rochas

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Cited by 13 publications
(5 citation statements)
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“…Several authors have presented many applications for the rock digital models generated from microCT data (Schmitt et al, 2015;Archilla et al, 2016;Soares et al, 2018;Oliveira & Soares, 2018). Reis-Neto et al (2011) quantify the porosity, the pore connectivity degree and the mineral composition of four samples of rocks from X-ray microtomography data and digital photographs of thin sections. The samples analyzed were of marble, quartzite, sandstone and dolomitic breccia.…”
Section: Introductionmentioning
confidence: 99%
“…Several authors have presented many applications for the rock digital models generated from microCT data (Schmitt et al, 2015;Archilla et al, 2016;Soares et al, 2018;Oliveira & Soares, 2018). Reis-Neto et al (2011) quantify the porosity, the pore connectivity degree and the mineral composition of four samples of rocks from X-ray microtomography data and digital photographs of thin sections. The samples analyzed were of marble, quartzite, sandstone and dolomitic breccia.…”
Section: Introductionmentioning
confidence: 99%
“…The combination of CT data with traditional petrographic analysis becomes an effective methodology for the study of carbonate rocks regarding porosity and diagenetic features (Okabe and Blunt, 2007;Reis Neto et al, 2011). Petrography is important to connect CT results to geological features and reduce mistakes in interpretation.…”
Section: Introductionmentioning
confidence: 99%
“…X-ray computed microtomography (µCT) is a non-destructive technique that allows the collection and analysis of hundreds of image sections enabling three-dimensional reconstruction and visualization of different types of porous media. Since µCT is a high-resolution computed tomography, it allows the quantification of areas and volumes of the internal structure of sedimentary rock, such as its pore system (Reis Neto et al, 2011;Leiderman et al, 2017).…”
Section: Introductionmentioning
confidence: 99%