FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2316690597> ?p ?o ?g. }

• W2316690597 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2009Fast least squares migration with a deblurring filterAuthors: Naoshi AokiGerard T. SchusterNaoshi AokiJGI Inc.Search for more papers by this author and Gerard T. SchusterDepartment of Geology and Geophysics, University of UtahSearch for more papers by this authorhttps://doi.org/10.1190/1.3255437 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Least squares migration (LSM) is equivalent to linearized waveform inversion for the subsurface reflectivity distribution. The benefit is a reduction in migration artifacts and an increase in spatial resolution, but the cost, however, is that LSM typically requires 10 or more iterations, which is about 20 times or more the CPU cost of conventional migration. To alleviate this expense, we present a deblurring filter that can be employed in either a regularization scheme or a preconditioning scheme to give acceptable LSM images with less than 1/3 the cost of the standard LSM method. Our results in applying deblurred LSM (DLSM) to synthetic data and field data support this claim. In particular, a Marmousi2 model test showed that the data residual for preconditioned DLSM decreases rapidly in the first iteration, which is equivalent to 10 or more iterations of LSM. Empirical results suggest that regularized DLSM after 3 iterations is equivalent to about 10 iterations of LSM. Applying DLSM to 2‐D marine data gives a higher resolution image compared to those from migration. These results suggest that LSM combined with a deblurring filter allows LSM to be a fast and practical tool for improved imaging of complicated structures.Permalink: https://doi.org/10.1190/1.3255437FiguresReferencesRelatedDetailsCited byEfficient iterative prestack least-squares reverse time migration through surface-offset gather compressionCarlos Alberto da Costa Filho, Gregório Goudel Azevedo, Roberto Pereira, and Adel Khalil20 October 2021 | GEOPHYSICS, Vol. 86, No. 6Migration Deconvolution of Ground Penetrating Radar (GPR) DataReferences16 June 2017Moment discretization for ill-posed problems with discrete weakly bounded noise9 April 2012 | GEM - International Journal on Geomathematics, Vol. 3, No. 2Least‐squares migration of simultaneous sources data with a deblurring filterWei Dai and Jerry Schuster14 October 2009 SEG Technical Program Expanded Abstracts 2009ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2009 Pages: 4338 publication data© 2009 Copyright © 2009 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 14 Oct 2009 CITATION INFORMATION Naoshi Aoki and Gerard T. Schuster, (2009), Fast least squares migration with a deblurring filter, SEG Technical Program Expanded Abstracts : 2829-2833. https://doi.org/10.1190/1.3255437 Plain-Language Summary PDF DownloadLoading ..." @default.
• W2316690597 created "2016-06-24" @default.
• W2316690597 creator A5026666098 @default.
• W2316690597 creator A5089406589 @default.
• W2316690597 date "2009-01-01" @default.
• W2316690597 modified "2023-09-23" @default.
• W2316690597 title "Fast least squares migration with a deblurring filter" @default.
• W2316690597 cites W1964236472 @default.
• W2316690597 cites W1971971422 @default.
• W2316690597 cites W2006196669 @default.
• W2316690597 cites W2012790988 @default.
• W2316690597 cites W2019699602 @default.
• W2316690597 cites W2035261605 @default.
• W2316690597 cites W2036132593 @default.
• W2316690597 cites W2038019304 @default.
• W2316690597 cites W2042751508 @default.
• W2316690597 cites W2053705522 @default.
• W2316690597 cites W2069684500 @default.
• W2316690597 cites W2075567728 @default.
• W2316690597 cites W2119818928 @default.
• W2316690597 cites W2149665040 @default.
• W2316690597 cites W2769476321 @default.
• W2316690597 doi "https://doi.org/10.1190/1.3255437" @default.
• W2316690597 hasPublicationYear "2009" @default.
• W2316690597 type Work @default.
• W2316690597 sameAs 2316690597 @default.
• W2316690597 citedByCount "5" @default.
• W2316690597 countsByYear W23166905972012 @default.
• W2316690597 countsByYear W23166905972017 @default.
• W2316690597 countsByYear W23166905972021 @default.
• W2316690597 crossrefType "proceedings-article" @default.
• W2316690597 hasAuthorship W2316690597A5026666098 @default.
• W2316690597 hasAuthorship W2316690597A5089406589 @default.
• W2316690597 hasConcept C105795698 @default.
• W2316690597 hasConcept C106430172 @default.
• W2316690597 hasConcept C109007969 @default.
• W2316690597 hasConcept C11413529 @default.
• W2316690597 hasConcept C115961682 @default.
• W2316690597 hasConcept C127313418 @default.
• W2316690597 hasConcept C151730666 @default.
• W2316690597 hasConcept C154945302 @default.
• W2316690597 hasConcept C155512373 @default.
• W2316690597 hasConcept C174576160 @default.
• W2316690597 hasConcept C185429906 @default.
• W2316690597 hasConcept C1893757 @default.
• W2316690597 hasConcept C2776135515 @default.
• W2316690597 hasConcept C2777693668 @default.
• W2316690597 hasConcept C31972630 @default.
• W2316690597 hasConcept C33923547 @default.
• W2316690597 hasConcept C41008148 @default.
• W2316690597 hasConcept C9417928 @default.
• W2316690597 hasConcept C9936470 @default.
• W2316690597 hasConceptScore W2316690597C105795698 @default.
• W2316690597 hasConceptScore W2316690597C106430172 @default.
• W2316690597 hasConceptScore W2316690597C109007969 @default.
• W2316690597 hasConceptScore W2316690597C11413529 @default.
• W2316690597 hasConceptScore W2316690597C115961682 @default.
• W2316690597 hasConceptScore W2316690597C127313418 @default.
• W2316690597 hasConceptScore W2316690597C151730666 @default.
• W2316690597 hasConceptScore W2316690597C154945302 @default.
• W2316690597 hasConceptScore W2316690597C155512373 @default.
• W2316690597 hasConceptScore W2316690597C174576160 @default.
• W2316690597 hasConceptScore W2316690597C185429906 @default.
• W2316690597 hasConceptScore W2316690597C1893757 @default.
• W2316690597 hasConceptScore W2316690597C2776135515 @default.
• W2316690597 hasConceptScore W2316690597C2777693668 @default.
• W2316690597 hasConceptScore W2316690597C31972630 @default.
• W2316690597 hasConceptScore W2316690597C33923547 @default.
• W2316690597 hasConceptScore W2316690597C41008148 @default.
• W2316690597 hasConceptScore W2316690597C9417928 @default.
• W2316690597 hasConceptScore W2316690597C9936470 @default.
• W2316690597 hasLocation W23166905971 @default.
• W2316690597 hasOpenAccess W2316690597 @default.
• W2316690597 hasPrimaryLocation W23166905971 @default.
• W2316690597 hasRelatedWork W1523438224 @default.
• W2316690597 hasRelatedWork W1974088498 @default.
• W2316690597 hasRelatedWork W2087099273 @default.
• W2316690597 hasRelatedWork W2125553599 @default.
• W2316690597 hasRelatedWork W2326664452 @default.
• W2316690597 hasRelatedWork W2489950269 @default.
• W2316690597 hasRelatedWork W2796690277 @default.
• W2316690597 hasRelatedWork W2899076497 @default.
• W2316690597 hasRelatedWork W2946489949 @default.
• W2316690597 hasRelatedWork W3206707598 @default.
• W2316690597 isParatext "false" @default.
• W2316690597 isRetracted "false" @default.
• W2316690597 magId "2316690597" @default.
• W2316690597 workType "article" @default.