Articles | Volume 7, issue 1
Solid Earth, 7, 285–300, 2016
https://doi.org/10.5194/se-7-285-2016

Special issue: Pore-scale tomography & imaging - applications, techniques...

Solid Earth, 7, 285–300, 2016
https://doi.org/10.5194/se-7-285-2016
Research article
15 Feb 2016
Research article | 15 Feb 2016

Classification and quantification of pore shapes in sandstone reservoir rocks with 3-D X-ray micro-computed tomography

Mayka Schmitt et al.

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Cited articles

Andrew, M., Bijeljic, B., and Blunt, M.J.: Reservoir-Condition Pore-Scale Imaging of Supercritical Carbon Dioxide, SPE, 1–9, 2013.
Anovitz, L. M. and Cole, D.R.: Characterization and analysis of porosity and pore structures, Rev. Mineral. Geochem., 80, 61–164, 2015.
Avizo Fire 8.1.0: 1995–2014©, FEI, SAS – Visualization Sciences Group, Hillsboro, USA, www.fei.com (last access: 30 November 2015), 2014.
Bagheri, G. H., Bonadonna, C., Manzella, I., and Vonlanthen, P.T.: On the characterization of size and shape of irregular particles, Powder Technol., 270, 141–153, 2015.
Baker, D. R., Mancini, L., Polacci, M., Higgins, M. D., Gualda, G. A. R., Hill, R. J., and Rivers, M. L.: An introduction to the application of X-ray microtomography to the three-dimensional study of igneous rocks, Lithps, 148, 262–276, 2012.
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Short summary
In this paper we show how the shapes of irregular rock particles (pores) can be classified and quantified based on binary 3-D images. The methodology requires the measurement of basic 3-D particle descriptors and a shape classification that involves the similarity of artificial objects, which is based on main pore network detachments and 3-D sample sizes. The results were validated for three sandstones (S1, S2, and S3) from distinct reservoirs.