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dc.date.accessioned2013-03-12T09:05:20Z
dc.date.available2013-03-12T09:05:20Z
dc.date.issued2009en_US
dc.date.submitted2009-06-24en_US
dc.identifier.citationOrji, Okwudili Chucks. Sea imaging from a dual-sensor streamer data. Masteroppgave, University of Oslo, 2009en_US
dc.identifier.urihttp://hdl.handle.net/10852/12580
dc.description.abstractSea surface profile and reflection coefficient estimates are vital input parameters to various seismic data processing applications. The common assumption of a flat sea surface when processing seismic data can lead to misinterpretations and mislocations of events. A new method of imaging the sea surface from decomposed wavefields is presented. Wavefield separation is applied to the data acquired by a towed dual sensor streamer containing collocated hydrophones and geophones to obtain the up- and down-going wavefields of the related sensors. The up- and down-going wavefields of a given sensor are extrapolated to the sea surface where an imaging condition is applied in order to obtain the sea surface profile. The image points values obtained at the sea surface are the reflection coefficient values of these points. Ray tracing and finite difference methods are used to generate different controlled data sets employed in this feasibility study to demonstrate the imaging principle and to test the image accuracy. Finally, a first field data example of a marginal weather line from the Norwegian North-Sea is presented.eng
dc.language.isoengen_US
dc.subjectgeofysikken_US
dc.titleSea imaging from a dual-sensor streamer data : A feasibilty studyen_US
dc.typeMaster thesisen_US
dc.date.updated2009-07-08en_US
dc.creator.authorOrji, Okwudili Chucksen_US
dc.subject.nsiVDP::450en_US
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft.au=Orji, Okwudili Chucks&rft.title=Sea imaging from a dual-sensor streamer data&rft.inst=University of Oslo&rft.date=2009&rft.degree=Masteroppgaveen_US
dc.identifier.urnURN:NBN:no-22146en_US
dc.type.documentMasteroppgaveen_US
dc.identifier.duo93058en_US
dc.contributor.supervisorDr. Wallter Söllner and Prof Liev Geliusen_US
dc.identifier.bibsys092775543en_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/12580/1/ThesisMasterF.pdf


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