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dc.contributor.authorLópez-Elorza, M.es_ES
dc.contributor.authorMuñoz-García, M. Belénes_ES
dc.contributor.authorFernández-Valle, Encarnaciónes_ES
dc.contributor.authorGonzález Acebrón, Lauraes_ES
dc.contributor.authorMartín-Chivelet, J.es_ES
dc.date.accessioned2019-09-04T07:47:52Z-
dc.date.available2019-09-04T07:47:52Z-
dc.date.issued2017-05-22-
dc.identifier.citation8th International Conference Climate Change: The Karst Record (2017)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/189820-
dc.descriptionTrabajo presentado en el 8th International Conference Climate Change: The Karst Record, celebrado en Austin, Texas (Estados Unidos), del 21 al 24 de mayo de 2017es_ES
dc.description.abstractNuclear magnetic resonance (NMR) techniques are powerful non-destructive tools to understand the internal porosity and fluid inclusions distribution of carbonate rocks. In the case of speleothems, relaxometry experiments and the reconstruction of 2D magnetic resonance images (MRI) help to complement the results obtained by petrographic analysis in microscope, where different type of fluid inclusions have been classified. Relaxometry test of 1 H nuclei of water in a porous media allows to quantify isolated cavities as fluid inclusions and, based on so called “surface effects”, the size distribution can be achieved. It is known that T1 (longitudinal) and T2 (transversal) relaxation times, indicators of pore size when a single fluid is present, are shorter in pores with a high surface-to-volume ratio (S/V). On the other hand, high intensity pixels (bright areas) are associated to water filled fluid inclusions in 2D MRI images, while low intensity pixels (black areas) are related to calcite. The technique shows a high potential to analyze different fluid inclusions bear in mind their magnitudes, allowing to classify and estimate the amount of intracrystallite and intercrystallite inclusions. Moreover, the 2D and 3D visualization of fluid inclusions distribution inside the sample by MRI images and the pre-estimation of enclosed water amount in each sample by relaxometry curves, turn this technique into a useful tool previous to stable isotope or noble gas crushing measurements of fluid inclusions under high vacuum line. In this work, two stalagmites from Cueva del Tortero (Valencia, Spain), Tortero-2 and Tortero-4, have been analyzed by this method. T1 and T2 curves of fully dried samples reveal that fluid inclusions could be classified in three groups taking their size into consideration, where short relaxation times represent small fluid inclusions and larger T1 and T2 values characterize enlarged cavities. Furthermore, the greater sensitivity that T2 displays to inclusions morphology allows to identify more deeply different types of fluid inclusions. In both samples, intracrystallite fluid inclusions are very tiny (3-15 μm) and correspond to shorter T2 values (0,2-3 ms for Tortero-4 slabs and 1-4 ms for Tortero-2). On the other hand, intercrystallite inclusions are bigger in size (20-100 μm) and they provoke T2 relaxation times between 4 and 500 ms for Tortero-4 slabs and from 8-50 ms for Tortero-2. T2 relaxation times bigger than 1000 ms are induced by enlarged porosity in both samples. Moreover, MRI images confirm that lots of intracrystallite inclusions are located in bands and in the hiatus, where the signal given by water is brighter.es_ES
dc.description.sponsorshipThis work was supported by the R+D+i Program of Spain [CGL2013-43257-R] and the Complutense University [Research Group 910198]. We thank the authorities of the Generalitat Valenciana for permissions and support. Thanks are extended to Ana I. Ortega (Grupo Espeleológico Edelweiss) and Policarp Garay, for speleological advice during cave work.es_ES
dc.language.isoenges_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2013-43257-Res_ES
dc.rightsopenAccesses_ES
dc.titleFluid inclusions size and distribution in Stalagmites applying NMR techniqueses_ES
dc.typecomunicación de congresoes_ES
dc.description.peerreviewedPeer reviewedes_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.contributor.funderUniversidad Complutense de Madrides_ES
dc.contributor.funderGeneralitat Valencianaes_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003359es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100002911es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_5794es_ES
item.openairetypecomunicación de congreso-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
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