Matches in SemOpenAlex for { <https://semopenalex.org/work/W2155333223> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2155333223 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2013Recover certain low-frequency information for full waveform inversionAuthors: Xiao-Bi XieXiao-Bi XieInstitute of Geophysics and Planetary Physics, U of California at Santa CruzSearch for more papers by this authorhttps://doi.org/10.1190/segam2013-0451.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract In full waveform inversion, it is preferred to use the multiscale approach which starts iteration from low-frequency data to determine the large-scale heterogeneities first. This approach tends to provide better convergence when the initial model is drastically biased from the true velocity model. However, the combined passband of the source and geophone usually generates data lacks the low-frequency information preferred by the full waveform inversion. On the other hand, the travel time data are often used to generate low-resolution initial models. The low-frequency waveform and the travel-time information share some common properties. The successful use of travel time data implies that the seismic data are weakly dispersed at least at low frequencies. This property can be used to extrapolate the phase information in the data towards lower frequencies. Motivated by this idea, we propose a method to convert high-frequency waveforms into low-frequency waveforms based on a linear phase approximation at the low frequency end. The resulted low-frequency waveform can benefit the convergence in full waveform inversion. To validate the proposed method, we compare waveforms converted from high-frequency traces with those actually generated using low-frequency sources. We successfully tested the converted data set in waveform inversion. The inversion using the high-frequency converted low-frequency seismic data converge better than those directly using the original high-frequency data. Permalink: https://doi.org/10.1190/segam2013-0451.1FiguresReferencesRelatedDetailsCited ByEfficient progressive transfer learning for low-frequency reflection seismic data predictionYuchen Jin, Wenyi Hu, Xuqing Wu, and Jiefu Chen1 September 2021Frequency extension and robust full-waveform inversion based on nth power operation27 August 2020 | Acta Geophysica, Vol. 68, No. 5Recovery of saturated signal waveform acquired from high-energy particles with artificial neural networks30 September 2019 | Nuclear Science and Techniques, Vol. 30, No. 10Full waveform inversion in absence of low-frequency data based on n-th power operation: Application to encoded multisource waveform inversionPan Zhang, Zhenzhen Xing, and Liguo Han1 August 2019Seismic Envelope Inversion Based on Hybrid Scale Separation for Data with Strong Noises31 October 2018 | Pure and Applied Geophysics, Vol. 176, No. 1Low-frequency compensation and its application in full-waveform inversionJidong Yang and Hejun Zhu27 August 2018Low-frequency reflection-data augmentation using gap-filling and gap-reduction methodMengyao Ji, Donald Kouri, and Anne-Cecile Lesage17 August 2017AVO and Seismic Inversion I Complete Session17 August 2017Multistep full-waveform inversion based on waveform-mode decompositionYong Hu, Liguo Han, Pan Zhang, Zhongzheng Cai, and Qixin Ge1 September 2016Frequency down extrapolation with TV norm minimizationRongrong Wang and Felix Herrmann1 September 2016Full-Waveform Inversion II Complete Session1 September 2016An angle-domain wavenumber filter for multi-scale full-waveform inversionXiao-Bi Xie*19 August 2015Low-frequency reflection-data augmentation by an inpainting method: 1D acoustic mediaAnne-Cécile Lesage, Jie Yao, Fazle Hussain, and Donald J. Kouri26 May 2015 | GEOPHYSICS, Vol. 80, No. 4An hermite distributed approximation functional fitting method to augment reflection data down to zero frequencyAnne-Cecile Lesage, Fazle Hussain, Jie Yao, and Donald J. Kouri5 August 2014 SEG Technical Program Expanded Abstracts 2013ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2013 Pages: 5258 Publisher:Society of Exploration Geophysicists HistoryPublished: 19 Aug 2013 CITATION INFORMATION Xiao-Bi Xie, (2013), Recover certain low-frequency information for full waveform inversion, SEG Technical Program Expanded Abstracts : 1053-1057. https://doi.org/10.1190/segam2013-0451.1 Plain-Language Summary PDF DownloadLoading ..." @default.
- W2155333223 created "2016-06-24" @default.
- W2155333223 creator A5013533560 @default.
- W2155333223 date "2013-08-19" @default.
- W2155333223 modified "2023-09-25" @default.
- W2155333223 title "Recover certain low-frequency information for full waveform inversion" @default.
- W2155333223 cites W1999707828 @default.
- W2155333223 cites W2016085417 @default.
- W2155333223 cites W2060690636 @default.
- W2155333223 cites W2150240527 @default.
- W2155333223 cites W2166525224 @default.
- W2155333223 doi "https://doi.org/10.1190/segam2013-0451.1" @default.
- W2155333223 hasPublicationYear "2013" @default.
- W2155333223 type Work @default.
- W2155333223 sameAs 2155333223 @default.
- W2155333223 citedByCount "18" @default.
- W2155333223 countsByYear W21553332232015 @default.
- W2155333223 countsByYear W21553332232016 @default.
- W2155333223 countsByYear W21553332232017 @default.
- W2155333223 countsByYear W21553332232018 @default.
- W2155333223 countsByYear W21553332232019 @default.
- W2155333223 countsByYear W21553332232020 @default.
- W2155333223 countsByYear W21553332232021 @default.
- W2155333223 countsByYear W21553332232022 @default.
- W2155333223 countsByYear W21553332232023 @default.
- W2155333223 crossrefType "proceedings-article" @default.
- W2155333223 hasAuthorship W2155333223A5013533560 @default.
- W2155333223 hasConcept C104892082 @default.
- W2155333223 hasConcept C11413529 @default.
- W2155333223 hasConcept C121332964 @default.
- W2155333223 hasConcept C127313418 @default.
- W2155333223 hasConcept C142433447 @default.
- W2155333223 hasConcept C165205528 @default.
- W2155333223 hasConcept C1893757 @default.
- W2155333223 hasConcept C19118579 @default.
- W2155333223 hasConcept C197424946 @default.
- W2155333223 hasConcept C24890656 @default.
- W2155333223 hasConcept C31972630 @default.
- W2155333223 hasConcept C41008148 @default.
- W2155333223 hasConcept C54187759 @default.
- W2155333223 hasConcept C554190296 @default.
- W2155333223 hasConcept C76155785 @default.
- W2155333223 hasConcept C77928131 @default.
- W2155333223 hasConceptScore W2155333223C104892082 @default.
- W2155333223 hasConceptScore W2155333223C11413529 @default.
- W2155333223 hasConceptScore W2155333223C121332964 @default.
- W2155333223 hasConceptScore W2155333223C127313418 @default.
- W2155333223 hasConceptScore W2155333223C142433447 @default.
- W2155333223 hasConceptScore W2155333223C165205528 @default.
- W2155333223 hasConceptScore W2155333223C1893757 @default.
- W2155333223 hasConceptScore W2155333223C19118579 @default.
- W2155333223 hasConceptScore W2155333223C197424946 @default.
- W2155333223 hasConceptScore W2155333223C24890656 @default.
- W2155333223 hasConceptScore W2155333223C31972630 @default.
- W2155333223 hasConceptScore W2155333223C41008148 @default.
- W2155333223 hasConceptScore W2155333223C54187759 @default.
- W2155333223 hasConceptScore W2155333223C554190296 @default.
- W2155333223 hasConceptScore W2155333223C76155785 @default.
- W2155333223 hasConceptScore W2155333223C77928131 @default.
- W2155333223 hasLocation W21553332231 @default.
- W2155333223 hasOpenAccess W2155333223 @default.
- W2155333223 hasPrimaryLocation W21553332231 @default.
- W2155333223 hasRelatedWork W1966416639 @default.
- W2155333223 hasRelatedWork W1986297725 @default.
- W2155333223 hasRelatedWork W2029218494 @default.
- W2155333223 hasRelatedWork W2155333223 @default.
- W2155333223 hasRelatedWork W2316002604 @default.
- W2155333223 hasRelatedWork W2355492893 @default.
- W2155333223 hasRelatedWork W2365566440 @default.
- W2155333223 hasRelatedWork W2566014503 @default.
- W2155333223 hasRelatedWork W2906270673 @default.
- W2155333223 hasRelatedWork W4322738454 @default.
- W2155333223 isParatext "false" @default.
- W2155333223 isRetracted "false" @default.
- W2155333223 magId "2155333223" @default.
- W2155333223 workType "article" @default.