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dc.contributor.authorMarzán, Ignacio-
dc.contributor.authorMartí, David-
dc.contributor.authorLobo, Agustín-
dc.contributor.authorKormann, Jean-
dc.contributor.authorAlvarez-Marrón, Joaquina-
dc.contributor.authorCarbonell, Ramón-
dc.date.accessioned2017-03-31T08:02:27Z-
dc.date.available2017-03-31T08:02:27Z-
dc.date.issued2016-
dc.identifierissn: 1576-5172-
dc.identifier.citationGeotemas 16: 507-510 (2016)-
dc.identifier.urihttp://hdl.handle.net/10261/147678-
dc.description.abstractThe integration of results from separate geophysical surveys in order to derive a geological interpretation is complicated beyond a qualitative correlation. In this study, we propose a joint interpretation of three separate geophysical datasets (a velocity model, a resistivity model and well logs) to characterize geological transitions in a gypsiferous context, (Villar de Cañas, Cuenca, Spain). By interpolation, we integrate the velocity and resistivity data in a single 3D grid and, in order to derive a geological joint interpretation, we apply a supervised statistical classification method, LDA. The algorithm is fitted using a training set compiled from the well logs. Thus, every node is lithologically classified according to its velocity-resistivity relationship, resulting in a new 3D lithological model. This new model integrates both, seismics and electrics resolution capacities, showing better agreement with geology data than those resulting from the application of these techniques separately.-
dc.description.sponsorshipLa financiación y el acceso a la base de datos geológica y geofísica han sido proporcionadas por ENRESA. Ref. 20133830-
dc.publisherSociedad Geológica de España-
dc.relation.isversionofPublisher's version-
dc.rightsopenAccess-
dc.subjectInterpretación conjunta-
dc.subjectgypsum-
dc.subjectresistivity-
dc.subjectvelocity-
dc.subjectdata integration-
dc.subjectintegración de datos-
dc.subjectvelocidad-
dc.subjectresistividad-
dc.subjectyesos-
dc.subjectJoint interpretation-
dc.titleInterpretación conjunta de modelos de velocidad y resistividad 3D mediante clasificación estadística-
dc.typeArtículo-
dc.date.updated2017-03-31T08:02:27Z-
dc.description.versionPeer Reviewed-
dc.language.rfc3066spa-
dc.contributor.funderEmpresa Nacional de Residuos Radiactivos (España)-
dc.relation.csic-
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