Show simple item record

dc.date.available2016-10-31T16:42:42Z
dc.date.issued2014
dc.identifier.citation@inproceedings{Osorno_etal_2014_DigitRock, author={M. C. Osorno and D. Uribe and E. H. Saenger and C. Madonna and H. Steeb and O. Ruiz.}, title={Numerical estimation of carbonate properties using a digital rock physics workflow.}, booktitle={76th EAGE Meeting}, year={2014}, editor={}, address={Amsterdam, Netherlands}, pages={}, note={}, url={}, document_type={Extended Abstract.}, month={16-19 June}, publisher ={}, organization={European Association of Geoscientists and Engineers}, note={}, abstract ={In this paper we investigate a dry carbonate specimen (Hauptmuschelkalk) that originates from a core drilled in northern Switzerland. The corresponding CT-image raw-data is taken from Madonna et al. (2013). The voxel size is 0.38m3. Experimental results indicate a porosity of 4.2 \%, a permeability of 4*10-4 mD and a p-wave velocity from 5100 m/s (0 MPa confining pressure) to 6100 m/s (150 MPa confining pressure).} }spa
dc.identifier.urihttp://hdl.handle.net/10784/9569
dc.descriptionDigital rock physics combines modern imaging with advanced numerical simulations to analyze the physical properties of rocks -- In this paper we suggest a special segmentation procedure which is applied to a carbonate rock from Switzerland -- Starting point is a CTscan of a specimen of Hauptmuschelkalk -- The first step applied to the raw image data is a nonlocal mean filter -- We then apply different thresholds to identify pores and solid phases -- Because we are aware of a nonneglectable amount of unresolved microporosity we also define intermediate phases -- Based on this segmentation determine porositydependent values for the pwave velocity and for the permeability -- The porosity measured in the laboratory is then used to compare our numerical data with experimental data -- We observe a good agreement -- Future work includes an analytic validation to the numerical results of the pwave velocity upper bound, employing different filters for the image segmentation and using data with higher resolution
dc.language.isoengspa
dc.relation.ispartofProceedings of 76th EAGE Conference & Exhibition, June 2014spa
dc.relation.isversionofhttp://dx.doi.org/10.3997/2214-4609.20140655spa
dc.subjectRocas - Popiedades físicas
dc.titleNumerical estimation of Carbonate properties using a digital rock physics workflow
dc.typeconferenceObjecteng
dc.typeinfo:eu-repo/semantics/conferenceObjecteng
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccessspa
dc.subject.lembMATERIALES POROSOS
dc.subject.lembTOMOGRAFÍA
dc.subject.lembIMAGEN TRIDIMENSIONAL EN DISEÑO
dc.subject.lembPERMEABILIDAD
dc.subject.lembCONDUCTIVIDAD ELÉCTRICA
dc.subject.lembELASTICIDAD
dc.subject.lembANÁLISIS NUMÉRICO
dc.subject.lembMÉTODOS DE SIMULACIÓN
dc.subject.lembPROCESAMIENTO DIGITAL DE IMÁGENES
dc.type.localDocumento de conferenciaspa
dc.subject.keywordPorous materials
dc.subject.keywordTomography
dc.subject.keywordDesign imaging
dc.subject.keywordPermeability
dc.subject.keywordElectric conductivity
dc.subject.keywordElasticity
dc.subject.keywordNumerical analysis
dc.subject.keywordSimulation methods
dc.subject.keywordImage processing - Digital techniques
dc.rights.localAcceso cerradospa
dc.date.accessioned2016-10-31T16:42:42Z
dc.type.hasVersionObra publicadaspa
dc.type.hasVersionpublishedVersionspa
dc.contributor.authorOsorno, M.
dc.contributor.authorUribe, D.
dc.contributor.authorSaenger, E.H.
dc.contributor.authorMadonna, C.
dc.contributor.authorSteeb, H.
dc.contributor.authorRuíz, Ó.


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record