Vis enkel innførsel

dc.contributor.authorXing, Liyuan
dc.contributor.authorAarre, Victor
dc.contributor.authorBarnes, Arthur E.
dc.contributor.authorTheoharis, Theoharis
dc.contributor.authorSalman, Nader
dc.contributor.authorTjåland, Egil
dc.date.accessioned2020-01-24T11:34:21Z
dc.date.available2020-01-24T11:34:21Z
dc.date.created2019-11-28T12:39:44Z
dc.date.issued2019
dc.identifier.citationGeophysics. 2019, 84 (3), O63-O72.nb_NO
dc.identifier.issn0016-8033
dc.identifier.urihttp://hdl.handle.net/11250/2637817
dc.description.abstractThe complex seismic trace analysis is a widely applied and versatile method for computing seismic attributes. Instantaneous frequency is an important complex trace attribute, and it is generally used for identifying specific seismic events, such as abnormal attenuation and thin bed tuning. Although the definition itself is clear, in practice, the calculation varies considerably and deviates from the definition. As a result, there is little consistency in the calculation of the instantaneous frequency. We thus adopt a robust and reliable scientific process to objectively compare various implementations of the instantaneous frequency. To this end, we start by reviewing four classic algorithms for instantaneous frequency computation and efficient approximations and point out several issues and weaknesses of these algorithms. Then, the theoretical foundation for the instantaneous frequency of the sum of two sinusoids is derived from the original definition. With the above foundations, two synthetic test data sets of seismic traces, with varying frequencies and fixed amplitudes, are generated. Their synthetic ground truth instantaneous frequencies are automatically calculated by an analytic formula. In addition, regions that exhibit algorithmically interesting issues are segmented from the whole data sets and considered specifically in the proposed quality metrics. The evaluation includes four classic noncommercial algorithms and four commercial software implementations. Their quantitative and qualitative results indicate the effectiveness of the synthesized data sets and the quality metrics for instantaneous frequency evaluations. It is hoped that the inclusion of instantaneous frequency in the free academic benchmarking web service A3Mark will help to improve instantaneous frequency algorithms throughout the industry.nb_NO
dc.language.isoengnb_NO
dc.publisherSociety of Exploration Geophysicistsnb_NO
dc.titleSeismic attribute benchmarking on instantaneous frequencynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumberO63-O72nb_NO
dc.source.volume84nb_NO
dc.source.journalGeophysicsnb_NO
dc.source.issue3nb_NO
dc.identifier.doi10.1190/geo2018-0007.1
dc.identifier.cristin1753730
dc.description.localcodeUse is subject to SEG terms of use and conditions.nb_NO
cristin.unitcode194,63,10,0
cristin.unitcode194,64,90,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.unitnameInstitutt for geovitenskap og petroleum
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel