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dc.date.accessioned2020-04-11T18:39:24Z
dc.date.available2020-04-11T18:39:24Z
dc.date.created2019-10-16T12:23:02Z
dc.date.issued2018
dc.identifier.citationNdingwan, Abel Onana Kolbjørnsen, Odd Straith, Knut Richard Bjerke, Morten D. . Deciphering the seismic signature of the Edvard Grieg field, North Sea. SEG technical program expanded abstracts. 2018
dc.identifier.urihttp://hdl.handle.net/10852/74472
dc.description.abstractWe present a case of seismic reservoir characterization within a multi-source depositional setting. To resolve issues of non-uniqueness between intrinsic reservoir properties and the seismic data, we use a probabilistic approach. Stochastic rock physics relationships are used to establish a link between elastic parameters and various lithology classes. We highlight the importance of concurrently using multiple lithological prior models to achieve an improved understanding of the seismic response of the Edvard Grieg field. Application of a one-step inversion approach, which assesses the direct conditional (posterior) distribution of elastic parameters, yields improved reservoir prediction particularly in regions where the reservoir sandstones are thin. Quantitative prediction and interpretation of impedances and lithology volumes is done in light of selected models and associated uncertainties.
dc.languageEN
dc.publisherSociety of Exploration Geophysicists
dc.titleDeciphering the seismic signature of the Edvard Grieg field, North Sea
dc.typeJournal article
dc.creator.authorNdingwan, Abel Onana
dc.creator.authorKolbjørnsen, Odd
dc.creator.authorStraith, Knut Richard
dc.creator.authorBjerke, Morten D.
cristin.unitcode185,15,13,25
cristin.unitnameStatistikk og Data Science
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1737551
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=SEG technical program expanded abstracts&rft.volume=&rft.spage=&rft.date=2018
dc.identifier.jtitleSEG technical program expanded abstracts
dc.identifier.startpage361
dc.identifier.endpage365
dc.identifier.doihttps://doi.org/10.1190/segam2018-2994746.1
dc.identifier.urnURN:NBN:no-77577
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1949-4645
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/74472/1/segam2018-2994746.1.pdf
dc.type.versionPublishedVersion
dc.relation.projectLUNDIN/Internal
dc.relation.projectLUNDIN/INTERNAL


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