Large-scale 3D seismic attribute analysis framework based on double-layer Flood Fill

PreviousNext No Access2016 Workshop: Workshop High Performance Computing, Beijing, China, 14-16 November 2016Large-scale 3D seismic attribute analysis framework based on double-layer Flood FillAuthors: Chen MaoshanHao YanguoDai LihuaLi HongWang FeiChen MaoshanBGP, CNPCSearch for more papers by this author, Hao YanguoBGP, CNPCSearch for more papers by this author, Dai LihuaBGP, CNPCSearch for more papers by this author, Li HongBGP, CNPCSearch for more papers by this author, and Wang FeiBGP, CNPCSearch for more papers by this authorhttps://doi.org/10.1190/hpc2016-005 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Double-layer Flood Fill is a high-performance computing framework suitable for large-scale and spatial horizon auto-tracking and seismic attribute analysis. It has been improved from classical Flood Fill algorithm and borrowed some benefits from divide and conquer theory (Anany, 2002). Double-layer Flood Fill uses two-level queues instead of one-level queue and uses the same four-way Flood Fill algorithm to implement horizon auto-tracking and seismic attribute analysis. It can eliminate boundary effects from block partition, and also can remarkably reduce computer resource consumption and heighten the efficiencies of horizon automatic tracking and seismic attribute analysis in large- or ultra lager scale 3D seismic surveys. In this paper, we first discuss the theory and method of double-layer Flood Fill, and then take the application in 3D horizon auto-tracking for example to introduce its workflow and effects in high-performance seismic attribute analysis. Keywords: seismic attributes, analysis, algorithm, 3DPermalink: https://doi.org/10.1190/hpc2016-005FiguresReferencesRelatedDetails 2016 Workshop: Workshop High Performance Computing, Beijing, China, 14-16 November 2016ISSN (online):2159-6832Copyright: 2016 Pages: 63 publication data© 2016 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 16 Nov 2016 CITATION INFORMATION Chen Maoshan, Hao Yanguo, Dai Lihua, Li Hong, and Wang Fei, (2016), "Large-scale 3D seismic attribute analysis framework based on double-layer Flood Fill," SEG Global Meeting Abstracts : 11-12. https://doi.org/10.1190/hpc2016-005 Plain-Language Summary Keywordsseismic attributesanalysisalgorithm3DPDF DownloadLoading ...