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dc.contributor.author
Bayer, Peter
dc.contributor.author
Comunian, Alessandro
dc.contributor.author
Höyng, Dominik
dc.contributor.author
Mariethoz, Gregoire
dc.date.accessioned
2019-09-06T11:04:56Z
dc.date.available
2017-06-11T22:05:24Z
dc.date.available
2019-09-06T11:04:56Z
dc.date.issued
2015-07-05
dc.identifier.issn
2052-4463
dc.identifier.other
10.1038/sdata.2015.33
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/108708
dc.identifier.doi
10.3929/ethz-b-000108708
dc.description.abstract
Geological structures are by nature inaccessible to direct observation. This can cause difficulties in applications where a spatially explicit representation of such structures is required, in particular when modelling fluid migration in geological formations. An increasing trend in recent years has been to use analogs to palliate this lack of knowledge, i.e., exploiting the spatial information from sites where the geology is accessible (outcrops, quarry sites) and transferring the observed properties to a study site deemed geologically similar. While this approach is appealing, it is difficult to put in place because of the lack of access to well-documented analog data. In this paper we present comprehensive analog data sets which characterize sedimentary structures from important groundwater hosting formations in Germany and Brazil. Multiple 2-D outcrop faces are described in terms of hydraulic, thermal and chemical properties and interpolated in 3-D using stochastic techniques. These unique data sets can be used by the wider community to implement analog approaches for characterizing reservoir and aquifer formations.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Nature Publishing Group
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
High resolution multi-facies realizations of sedimentary reservoir and aquifer analogs
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Scientific Data
ethz.journal.volume
2
en_US
ethz.pages.start
150033
en_US
ethz.size
10 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
Tomographic thermal tracer investigation of alluvial aquifer heterogeneity
en_US
ethz.identifier.nebis
010376564
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erdwissenschaften / Dep. of Earth Sciences::02704 - Geologisches Institut / Geological Institute::03465 - Löw, Simon / Löw, Simon
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erdwissenschaften / Dep. of Earth Sciences::02704 - Geologisches Institut / Geological Institute::03465 - Löw, Simon / Löw, Simon
ethz.grant.agreementno
149128
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projektförderung in Mathematik, Natur- und Ingenieurwissenschaften (Abteilung II)
ethz.date.deposited
2017-06-11T22:05:30Z
ethz.source
ECIT
ethz.identifier.importid
imp593653d41448815708
ethz.ecitpid
pub:169718
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T18:46:34Z
ethz.rosetta.lastUpdated
2021-02-15T05:50:26Z
ethz.rosetta.versionExported
true
ethz.COinS
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