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

Schmitt, Mayka; Halisch, Matthias; Müller, Cornelia; Fernandes, Celso Peres

doi:https://doi.org/10.5194/se-7-285-2016

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:

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

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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Final revised paper (published on 15 Feb 2016)
Preprint (discussion started on 04 Dec 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC C1503: 'Comments on sed-7-3441-2015', Anonymous Referee #1, 07 Dec 2015
- AC C1534: 'Reply to Referee #1', Matthias Halisch, 10 Dec 2015
RC C1511: 'Number of parameters required for characterization of pore space ?', Anonymous Referee #2, 08 Dec 2015
- AC C1540: 'Reply to Referee #2', Matthias Halisch, 10 Dec 2015

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.