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Physical Rock Matrix Characterization: Structural and Mineralogical Heterogeneities in Granite

Published online by Cambridge University Press:  01 February 2011

Mikko Voutilainen ,
Suvi Lamminmäki ,
Jussi Timonen ,
Marja Siitari-kauppi  and
Daniel Breitner
Mikko Voutilainen
Affiliation:
mikko.voutilainen@phys.jyu.fi, University of Jyväskylä, Department of Physics, Jyväskylä, Finland
Suvi Lamminmäki
Affiliation:
suvi.lamminmaki@helsinki.fi, University of Helsinki, Laboratory of Radiochemistry, Finland
Jussi Timonen
Affiliation:
jussi.timonen@phys.jyu.fi, University of Jyväskylä, Department of Physics, Jyväskylä, Finland
Marja Siitari-kauppi
Affiliation:
marja.siitari-kauppi@helsinki.fi, University of Helsinki, Laboratory of Radiochemistry, Finland
Daniel Breitner
Affiliation:
danielbreitner@yahoo.com, of Geography and Earth Sciences, Budapest, Hungary
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Abstract

Evaluation of the transport and retardation properties of rock matrices that serve as host rock for nuclear waste repositories necessitates their thorough pore-space characterization. Relevant properties to be quantified include the diffusion depth and volume adjacent to water conducting features. The bulk values of these quantities are not sufficient due to the heterogeneity of mineral structure on the scale of the expected transport/interaction distances. In this work the 3D pore structure of altered granite samples with porosities of 5 to 15%, taken next to water conducting fractures at 180 200 m depth in Sievi, Finland, was studied. Characterization of diffusion pathways and porosity were based on quantitative autoradiography of rock sections impregnated with C14-labelled polymethylmethacrylate (PMMA). Construction of 3D structure from PMMA autoradiographs was tested. The PMMA method was augmented by field emission scanning electron microscopy and energy-dispersive X-ray analyses (FESEM/EDAX) in order to study small pore-aperture regions in more detail and to identify the corresponding minerals. The 3D distribution of minerals and their abundances were determined by X-ray microtomography. Combining the mineral specific porosity found by the PMMA method with these distributions provided us with a 3D porosity distribution in the rock matrix.

Keywords

x-ray tomographywaste managementporosity
Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 1124: Symposium Q – Scientific Basis for Nuclear Waste Management XXXII , 2008 , 1124-Q07-03
Copyright
Copyright © Materials Research Society 2009

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References

REFERENCES

1. Hellmuth, K. H., Siitari-Kauppi, M., and Lindberg, A., J. Contam. Hydrol. 13, 403 (1993).Google Scholar
2. Hellmuth, K. H., Lukkarinen, S., and Siitari-Kauppi, M., Isotopes Environ. Health Stud. 30, 47 (1994).Google Scholar
3. Lähdemäki, T., Kelokaski, M., Siitari-Kauppi, M., Voutilainen, M., Myllys, M., Turpeinen, T., Timonen, J., Mateos, F. and Montoto, M. in Scientific Basis for Nuclear Waste Management XXX, edited by Dunn, D.S., Poinssot, C., and Begg, B. (Mater. Res. Soc. Proc. 985, Warrendale, PA, 2007) pp. 587–592 Google Scholar
4. Montoto, M., Martínez-Nistal, A., Rodriguez-Rey, A., Fernández-Merayo, N., and Soriano, P., J. Microscopy 177 (2), 138 (1995).Google Scholar
5. Rosenberg, E., Ferreira De Paiva, R., Guéroult, P. and Lynch, J., International Symposium on Computerized Tomography for Industrial Applications and Image Processing in Radiology, DGZfP-Proc. BB67-CD (1999).Google Scholar
6. Hellmuth, K.-H., Siitari-Kauppi, M., Klobes, P., Meyer, K., Goebbels, J., Phys. Chem. Earth (A) 24(7), 569 (1999).Google Scholar
7. Cnudde, V., Masschaele, B., Dierick, M., Vlassenbroeck, J., VanHoorebeke, L., and Jacobs, P., Appl. Geochem. 21, 826 (2006).Google Scholar
8. Anttila, P., Kuivamäki, A., Lindberg, A., Kurimo, M., Paananen, M., Front, K., Pitkänen, P., Kärki, A., Nuclear Waste Commission of Finnish Power Companies, Report YJT-93–19 (1993).Google Scholar
9. Gonzales, R. and Woods, R., in Digital Image Processing, 2nd ed., edited by Horton, M:J. (Prentice-Hall, New Jersey, 2002), p.239.Google Scholar