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dc.contributor.authorVoutilainen, Mikko
dc.contributor.authorMiettinen, Arttu
dc.contributor.authorSardini, Paul
dc.contributor.authorParkkonen, Joni
dc.contributor.authorSammaljärvi, Juuso
dc.contributor.authorGylling, Björn
dc.contributor.authorSelroos, Jan-Olof
dc.contributor.authorYli-Kaila, Maarit
dc.contributor.authorKoskinen, Lasse
dc.contributor.authorSiitari-Kauppi, Marja
dc.date.accessioned2019-01-31T13:36:44Z
dc.date.available2021-03-01T22:35:11Z
dc.date.issued2019
dc.identifier.citationVoutilainen, M., Miettinen, A., Sardini, P., Parkkonen, J., Sammaljärvi, J., Gylling, B., Selroos, J.-O., Yli-Kaila, M., Koskinen, L., & Siitari-Kauppi, M. (2019). Characterization of spatial porosity and mineral distribution of crystalline rock using X-ray micro computed tomography, C-14-PMMA autoradiography and scanning electron microscopy. <i>Applied Geochemistry</i>, <i>101</i>, 50-61. <a href="https://doi.org/10.1016/j.apgeochem.2018.12.024" target="_blank">https://doi.org/10.1016/j.apgeochem.2018.12.024</a>
dc.identifier.otherCONVID_28823465
dc.identifier.otherTUTKAID_80108
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/62664
dc.description.abstractThe spatial porosity and mineral distribution of geological materials strongly affects transport processes in them. X-ray micro computed tomography (X-μCT) has proven to be a powerful tool for characterizing the spatial mineral distribution of geological samples in 3-D. However, limitations in resolution prevent an accurate characterization of pore space especially for tight crystalline rock samples and 2-D methods such as C-14-polymethylmethacrylate (C-14-PMMA) autoradiography and scanning electron microscopy (SEM) are needed. The spatial porosity and mineral distributions of tight crystalline rock samples from Äspö, Sweden, and Olkiluoto, Finland, were studied here. The X-μCT were used to characterize the spatial distribution of the main minerals in 3-D. Total porosities, fracture porosities, fracture densities and porosity distributions of the samples were determined using the C-14-PMMA autoradiography and characterization of mineral-specific porosities were assisted using chemical staining of rock surfaces. SEM and energy dispersive X-ray spectroscopy (EDS) were used to determine pore apertures and identify the minerals. It was shown that combination of the different imaging techniques creates a powerful tool for the structural characterization of crystalline rock samples. The combination of the results from different methods allowed the construction of spatial porosity, mineral and mineral grain distributions of the samples in 3-D. These spatial distributions enable reactive transport modeling using a more realistic representation of the heterogeneous structure of samples. Furthermore, the realism of the spatial distributions were increased by determinig the densities and porosities of fractures and by the virtual construction heterogeneous mineral distributions of minerals that cannot be separated by X-μCT.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherPergamon
dc.relation.ispartofseriesApplied Geochemistry
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherröntgentutkimus
dc.subject.othercrystalline rocks
dc.subject.otherX-ray micro computed tomography
dc.subject.otherscanning electron microscopy
dc.subject.otherC-14-PMMA autoradiography
dc.subject.otherenergy dispersive X-ray spectroscopy
dc.subject.othercrystalline rock
dc.subject.otherpore structure
dc.titleCharacterization of spatial porosity and mineral distribution of crystalline rock using X-ray micro computed tomography, C-14-PMMA autoradiography and scanning electron microscopy
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201901231285
dc.contributor.laitosFysiikan laitosfi
dc.contributor.laitosDepartment of Physicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2019-01-23T10:15:23Z
dc.description.reviewstatuspeerReviewed
dc.format.pagerange50-61
dc.relation.issn0883-2927
dc.relation.numberinseries0
dc.relation.volume101
dc.type.versionacceptedVersion
dc.rights.copyright© 2018 Elsevier Ltd.
dc.rights.accesslevelopenAccessfi
dc.subject.ysokivi
dc.subject.ysomineraalit
dc.subject.ysohuokoisuus
dc.subject.ysotietokonetomografia
dc.subject.ysoelektronimikroskopia
dc.subject.ysoheterogeenisuus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p4467
jyx.subject.urihttp://www.yso.fi/onto/yso/p2368
jyx.subject.urihttp://www.yso.fi/onto/yso/p13541
jyx.subject.urihttp://www.yso.fi/onto/yso/p20535
jyx.subject.urihttp://www.yso.fi/onto/yso/p18917
jyx.subject.urihttp://www.yso.fi/onto/yso/p19410
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.apgeochem.2018.12.024


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