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Articles | Volume 7, issue 1
Articles | Volume 7, issue 1
https://doi.org/10.5194/se-7-285-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/se-7-285-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 7, issue 1
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, Matthias Halisch, Cornelia Müller, and Celso Peres Fernandes

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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.
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Pore-scale tomography & imaging - applications, techniques...