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dc.creatorDahrabou, Asmaees
dc.creatorViseur, Sophiees
dc.creatorGonzález Lorenzo, Aldoes
dc.creatorRohmer, Jérémyes
dc.creatorBac, Alexandraes
dc.creatorReal Jurado, Pedroes
dc.creatorMari, Jean-Luces
dc.creatorAudigane, Pascales
dc.date.accessioned2021-10-01T09:20:04Z
dc.date.available2021-10-01T09:20:04Z
dc.date.issued2016
dc.identifier.citationDahrabou, A., Viseur, S., González Lorenzo, A., Rohmer, J., Bac, A., Real Jurado, P.,...,Audigane, P. (2016). Topological Comparisons of Fluvial Reservoir Rock Volumes Using Betti Numbers: Application to CO2 Storage Uncertainty Analysis. En CTIC 2016: 6th International Workshop on Computational Topology in Image Context (101-112), Marseille, France: Springer.
dc.identifier.isbn978-3-319-39440-4es
dc.identifier.issn0302-9743es
dc.identifier.urihttps://hdl.handle.net/11441/126413
dc.description.abstractTo prevent the release of large quantities of CO2 into the atmosphere, carbon capture and storage (CCS) represents a potential means of mitigating the contribution of fossil fuel emissions to global warming and ocean acidification. Fluvial saline aquifers are favourite targeted reservoirs for CO2 storage. These reservoirs are very heterogeneous but their heterogeneities were rarely integrated into CO2 reservoir models. Moreover, contrary to petroleum reservoirs, the available dataset is very limited and not supposed to be enriched. This leads to wide uncertainties on reservoir characteristics required for CSS management (injection location, CO2 plume migration, etc.). Stochastic simulations are classical strategies in such under-constrained context. They aim at generating a wide number of models that all fit the available dataset. The generated models serve as support for computing the required reservoir characteristics and their uncertainties. A challenge is to optimize the uncertainty computations by selecting stochastic models that should have a priori very different flow behaviours. Fluid flows depend on the connectivity of reservoir rocks (channel deposits). In this paper, it is proposed to study the variability of the Betti numbers in function of different fluvial architectures. The aim is to quantify the impact of fluvial heterogeneities and their spatial distribution on reservoir rock topology and then on CO2 storage capacities. Representative models of different scenarios of channel stacking and their internal heterogeneities are generated using geostatistical simulation approaches. The Betti numbers are computed on each generated models and statistically analysed to exhibit if fluvial architecture controls reservoir topology.es
dc.formatapplication/pdfes
dc.format.extent12es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofCTIC 2016: 6th International Workshop on Computational Topology in Image Context (2016), pp. 101-112.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleTopological Comparisons of Fluvial Reservoir Rock Volumes Using Betti Numbers: Application to CO2 Storage Uncertainty Analysises
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-319-39441-1_10es
dc.identifier.doi10.1007/978-3-319-39441-1_10es
dc.publication.initialPage101es
dc.publication.endPage112es
dc.eventtitleCTIC 2016: 6th International Workshop on Computational Topology in Image Contextes
dc.eventinstitutionMarseille, Francees
dc.relation.publicationplaceCham, Switzerlandes
dc.identifier.sisius21021332es

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