Articles | Volume 7, issue 1
https://doi.org/10.5194/se-7-285-2016
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, Matthias Halisch, Cornelia Müller, and Celso Peres Fernandes

Related authors

Making geoscientific lab data FAIR: a conceptual model for a geophysical laboratory database
Sven Nordsiek and Matthias Halisch
Geosci. Instrum. Method. Data Syst., 13, 63–73, https://doi.org/10.5194/gi-13-63-2024,https://doi.org/10.5194/gi-13-63-2024, 2024
Short summary
Benchmark study using a multi-scale, multi-methodological approach for the petrophysical characterization of reservoir sandstones
Peleg Haruzi, Regina Katsman, Matthias Halisch, Nicolas Waldmann, and Baruch Spiro
Solid Earth, 12, 665–689, https://doi.org/10.5194/se-12-665-2021,https://doi.org/10.5194/se-12-665-2021, 2021
Short summary
Petrographic and Petrophysical Characteristics of Lower Cretaceous Sandstones from northern Israel, determined by micro-CT imaging and analytical techniques
Peleg Haruzi, Regina Katsman, Baruch Spiro, Matthias Halisch, and Nicolas Waldmann
Solid Earth Discuss., https://doi.org/10.5194/se-2019-21,https://doi.org/10.5194/se-2019-21, 2019
Revised manuscript not accepted
Short summary
Enhanced pore space analysis by use of μ-CT, MIP, NMR, and SIP
Zeyu Zhang, Sabine Kruschwitz, Andreas Weller, and Matthias Halisch
Solid Earth, 9, 1225–1238, https://doi.org/10.5194/se-9-1225-2018,https://doi.org/10.5194/se-9-1225-2018, 2018
Short summary
X-ray computed tomography investigation of structures in Opalinus Clay from large-scale to small-scale after mechanical testing
Annette Kaufhold, Matthias Halisch, Gerhard Zacher, and Stephan Kaufhold
Solid Earth, 7, 1171–1183, https://doi.org/10.5194/se-7-1171-2016,https://doi.org/10.5194/se-7-1171-2016, 2016
Short summary

Related subject area

Geophysics
Comparison of surface-wave techniques to estimate S- and P-wave velocity models from active seismic data
Farbod Khosro Anjom, Frank Adler, and Laura Valentina Socco
Solid Earth, 15, 367–386, https://doi.org/10.5194/se-15-367-2024,https://doi.org/10.5194/se-15-367-2024, 2024
Short summary
Integration of automatic implicit geological modelling in deterministic geophysical inversion
Jérémie Giraud, Guillaume Caumon, Lachlan Grose, Vitaliy Ogarko, and Paul Cupillard
Solid Earth, 15, 63–89, https://doi.org/10.5194/se-15-63-2024,https://doi.org/10.5194/se-15-63-2024, 2024
Short summary
Complex fault system revealed by 3-D seismic reflection data with deep learning and fault network analysis
Thilo Wrona, Indranil Pan, Rebecca E. Bell, Christopher A.-L. Jackson, Robert L. Gawthorpe, Haakon Fossen, Edoseghe E. Osagiede, and Sascha Brune
Solid Earth, 14, 1181–1195, https://doi.org/10.5194/se-14-1181-2023,https://doi.org/10.5194/se-14-1181-2023, 2023
Short summary
Numerical modeling of stresses and deformation in the Zagros–Iranian Plateau region
Srishti Singh and Radheshyam Yadav
Solid Earth, 14, 937–959, https://doi.org/10.5194/se-14-937-2023,https://doi.org/10.5194/se-14-937-2023, 2023
Short summary
Advanced seismic characterization of a geothermal carbonate reservoir – insight into the structure and diagenesis of a reservoir in the German Molasse Basin
Sonja H. Wadas, Johanna F. Krumbholz, Vladimir Shipilin, Michael Krumbholz, David C. Tanner, and Hermann Buness
Solid Earth, 14, 871–908, https://doi.org/10.5194/se-14-871-2023,https://doi.org/10.5194/se-14-871-2023, 2023
Short summary

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.
Download
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.