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Quantification of uncertainty in 3-D seismic interpretation : Implications for deterministic and stochastic geomodeling and machine learning

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dc.contributor.authorSchaaf, Alexander
dc.contributor.authorBond, Clare E
dc.contributor.institutionUniversity of Aberdeen.Geosciencesen
dc.contributor.institutionUniversity of Aberdeen.Geology and Geophysicsen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.date.accessioned2019-07-15T12:50:10Z
dc.date.available2019-07-15T12:50:10Z
dc.date.issued2019-07-05
dc.descriptionAlexander Schaaf was supported by Total GRC UK research funding, with Clare E. Bond supported by a Royal Society of Edinburgh research sabbatical grant.en
dc.description.statusPeer revieweden
dc.format.extent13
dc.format.extent8807945
dc.identifier142693006
dc.identifierf4ef2213-9c5d-4ace-925f-28fb3751f26c
dc.identifier85068710230
dc.identifier.citationSchaaf, A & Bond, C E 2019, 'Quantification of uncertainty in 3-D seismic interpretation : Implications for deterministic and stochastic geomodeling and machine learning', Solid earth, vol. 10, no. 4, pp. 1049-1061. https://doi.org/10.5194/se-2019-54, https://doi.org/10.5194/se-10-1049-2019en
dc.identifier.doi10.5194/se-2019-54
dc.identifier.iss4en
dc.identifier.issn1869-9510
dc.identifier.otherMendeley: a9cece06-25d6-3dcf-8478-05d7679c6bcd
dc.identifier.urihttp://hdl.handle.net/2164/12571
dc.identifier.urlhttp://www.mendeley.com/research/quantification-uncertainty-3d-seismic-interpretation-implications-deterministic-stochastic-geomodellen
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85068710230&partnerID=8YFLogxKen
dc.identifier.vol10en
dc.language.isoeng
dc.relation.ispartofSolid earthen
dc.subjectuncertaintyen
dc.subject3D seismicen
dc.subjectInterpretationen
dc.subjectQE Geologyen
dc.subjectEarth-Surface Processesen
dc.subjectGeochemistry and Petrologyen
dc.subjectGeologyen
dc.subjectGeophysicsen
dc.subjectSoil Scienceen
dc.subjectPalaeontologyen
dc.subjectStratigraphyen
dc.subject.lccQEen
dc.titleQuantification of uncertainty in 3-D seismic interpretation : Implications for deterministic and stochastic geomodeling and machine learningen
dc.typeJournal articleen

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