Matches in SemOpenAlex for { <https://semopenalex.org/work/W2320178171> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2320178171 abstract "PreviousNext No AccessBeijing 2014 International Geophysical Conference & Exposition, Beijing, China, 21-24 April 2014An effective tomography algorithm with Gaussian beamAuthors: Li HuiWang HuazhongLi HuiWave Phenomena and Inversion Imaging (WPI), School of Ocean and Earth Science, Tongji University, Shanghai, 200092, ChinaSearch for more papers by this author and Wang HuazhongWave Phenomena and Inversion Imaging (WPI), School of Ocean and Earth Science, Tongji University, Shanghai, 200092, ChinaSearch for more papers by this authorhttps://doi.org/10.1190/IGCBeijing2014-179 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Ray-based tomography is a much more ill-posed inverse problem than wave equation-based inversion, while the ray method boasts less computation. Compared to these two methods, Gaussian beam tomography can be identified as a compromise with less ill-posed than ray-based tomography and less computation than wave-equation-based tomography. Here we present a Gaussian beam tomography (GBT) approach in which each row of Fréchet matrix becomes a beam body. Instead, the kernel of conventional ray tomography is just a ray. Specifically, GBT is a more stable algorithm which calls for less regularization than traditional ray tomography. We test GBT with a synthetic data by MVA (Migration velocity analysis), and get a promising result without any regularization. Keywords: tomography, migration, velocityPermalink: https://doi.org/10.1190/IGCBeijing2014-179FiguresReferencesRelatedDetails Beijing 2014 International Geophysical Conference & Exposition, Beijing, China, 21-24 April 2014ISSN (online):2159-6832Copyright: 2014 Pages: 1360 publication data© 2014 Published in electronic format with permission by the Society of Exploration Geophysicists and Chinese Petroleum SocietyPublisher:Society of Exploration Geophysicists HistoryPublished: 24 Apr 2014 CITATION INFORMATION Li Hui and Wang Huazhong, (2014), An effective tomography algorithm with Gaussian beam, SEG Global Meeting Abstracts : 701-704. https://doi.org/10.1190/IGCBeijing2014-179 Plain-Language Summary KeywordstomographymigrationvelocityPDF DownloadLoading ..." @default.
- W2320178171 created "2016-06-24" @default.
- W2320178171 creator A5001729060 @default.
- W2320178171 creator A5090097840 @default.
- W2320178171 date "2014-04-24" @default.
- W2320178171 modified "2023-09-27" @default.
- W2320178171 title "An effective tomography algorithm with Gaussian beam" @default.
- W2320178171 cites W1617895247 @default.
- W2320178171 cites W1980014129 @default.
- W2320178171 cites W2008731568 @default.
- W2320178171 cites W2009552164 @default.
- W2320178171 cites W2046000651 @default.
- W2320178171 cites W2052462860 @default.
- W2320178171 cites W2092225611 @default.
- W2320178171 cites W2097897435 @default.
- W2320178171 cites W2100075512 @default.
- W2320178171 cites W2116227778 @default.
- W2320178171 cites W2120704348 @default.
- W2320178171 cites W2121544309 @default.
- W2320178171 cites W2123297057 @default.
- W2320178171 cites W2142126283 @default.
- W2320178171 cites W2150072505 @default.
- W2320178171 cites W2153366662 @default.
- W2320178171 cites W2158285489 @default.
- W2320178171 cites W2312486063 @default.
- W2320178171 cites W2333016378 @default.
- W2320178171 doi "https://doi.org/10.1190/igcbeijing2014-179" @default.
- W2320178171 hasPublicationYear "2014" @default.
- W2320178171 type Work @default.
- W2320178171 sameAs 2320178171 @default.
- W2320178171 citedByCount "0" @default.
- W2320178171 crossrefType "proceedings-article" @default.
- W2320178171 hasAuthorship W2320178171A5001729060 @default.
- W2320178171 hasAuthorship W2320178171A5090097840 @default.
- W2320178171 hasConcept C11413529 @default.
- W2320178171 hasConcept C120665830 @default.
- W2320178171 hasConcept C121332964 @default.
- W2320178171 hasConcept C122959257 @default.
- W2320178171 hasConcept C127313418 @default.
- W2320178171 hasConcept C134306372 @default.
- W2320178171 hasConcept C135252773 @default.
- W2320178171 hasConcept C163716315 @default.
- W2320178171 hasConcept C163716698 @default.
- W2320178171 hasConcept C166957645 @default.
- W2320178171 hasConcept C191935318 @default.
- W2320178171 hasConcept C205649164 @default.
- W2320178171 hasConcept C2778304055 @default.
- W2320178171 hasConcept C2778315978 @default.
- W2320178171 hasConcept C33923547 @default.
- W2320178171 hasConcept C41008148 @default.
- W2320178171 hasConcept C62520636 @default.
- W2320178171 hasConceptScore W2320178171C11413529 @default.
- W2320178171 hasConceptScore W2320178171C120665830 @default.
- W2320178171 hasConceptScore W2320178171C121332964 @default.
- W2320178171 hasConceptScore W2320178171C122959257 @default.
- W2320178171 hasConceptScore W2320178171C127313418 @default.
- W2320178171 hasConceptScore W2320178171C134306372 @default.
- W2320178171 hasConceptScore W2320178171C135252773 @default.
- W2320178171 hasConceptScore W2320178171C163716315 @default.
- W2320178171 hasConceptScore W2320178171C163716698 @default.
- W2320178171 hasConceptScore W2320178171C166957645 @default.
- W2320178171 hasConceptScore W2320178171C191935318 @default.
- W2320178171 hasConceptScore W2320178171C205649164 @default.
- W2320178171 hasConceptScore W2320178171C2778304055 @default.
- W2320178171 hasConceptScore W2320178171C2778315978 @default.
- W2320178171 hasConceptScore W2320178171C33923547 @default.
- W2320178171 hasConceptScore W2320178171C41008148 @default.
- W2320178171 hasConceptScore W2320178171C62520636 @default.
- W2320178171 hasLocation W23201781711 @default.
- W2320178171 hasOpenAccess W2320178171 @default.
- W2320178171 hasPrimaryLocation W23201781711 @default.
- W2320178171 hasRelatedWork W1984012726 @default.
- W2320178171 hasRelatedWork W2001788349 @default.
- W2320178171 hasRelatedWork W2011008602 @default.
- W2320178171 hasRelatedWork W2035870250 @default.
- W2320178171 hasRelatedWork W2076039380 @default.
- W2320178171 hasRelatedWork W2087563892 @default.
- W2320178171 hasRelatedWork W2312486063 @default.
- W2320178171 hasRelatedWork W4366551407 @default.
- W2320178171 hasRelatedWork W4368351422 @default.
- W2320178171 hasRelatedWork W2786504317 @default.
- W2320178171 isParatext "false" @default.
- W2320178171 isRetracted "false" @default.
- W2320178171 magId "2320178171" @default.
- W2320178171 workType "article" @default.