FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2334669984> ?p ?o ?g. }

• W2334669984 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2009Double‐difference elastic waveform tomography in the time domainAuthors: Huseyin DenliLianjie HuangHuseyin DenliLos Alamos National Laboratory, Los Alamos, NM 87545Search for more papers by this author and Lianjie HuangLos Alamos National Laboratory, Los Alamos, NM 87545Search for more papers by this authorhttps://doi.org/10.1190/1.3255320 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Time‐lapse seismic monitoring is an indispensable diagnostic technique for assessing reservoir changes caused by heterogeneous fluid flow of bypassed oil, injected reservoir fluids such as water, steam and CO2. However, conventional analyses of time‐lapse seismic data provide only qualitative results of reservoir changes. Full elastic waveform inversion could provide quantitative estimates of these changes. We develop a double‐difference elastic waveform tomography method in the time domain analogous to an inversion scheme proposed by Watanabe et al. (2004) for acoustic waves, which uses the differences in time‐lapse data to invert for reservoir changes. The resulting tomography images are more reliable than the differences between two independent waveform tomography results of the time‐lapse data. We demonstrate using synthetic time‐lapse elastic data that the double‐difference elastic waveform tomography is promising to quantitatively estimate reservoir changes in density, and P‐ and S‐wave velocities.Permalink: https://doi.org/10.1190/1.3255320FiguresReferencesRelatedDetailsCited ByQuantifying Changes of Subsurface Geophysical Properties Using Double‐Difference Seismic‐Waveform Inversion11 March 2022Source-independent time-lapse full-waveform inversion for anisotropic mediaYanhua Liu and Ilya Tsvankin21 December 2021 | GEOPHYSICS, Vol. 87, No. 1Source-independent time-lapse full-waveform inversion for VTI mediaYanhua Liu and Ilya Tsvankin1 September 2021Data assimilated time-lapse viscoacoustic full-waveform inversion for monitoring CO2 geological storageChao Huang and Tieyuan Zhu1 September 2021An MCMC-based approach to time-lapse full-waveform inversionXin Fu and Kristopher A. Innanen1 September 2021Joint time-lapse full-waveform inversion with a time-lag cost functionZhiguang Xue, Zhigang Zhang, Ping Wang, and Jun Cai1 September 2021Target-oriented time-lapse waveform inversion using deep learning-assisted regularizationYuanyuan Li, Tariq Alkhalifah, and Qiang Guo23 June 2021 | GEOPHYSICS, Vol. 86, No. 4Towards real-time monitoring: data assimilated time-lapse full waveform inversion for seismic velocity and uncertainty estimation13 July 2020 | Geophysical Journal International, Vol. 223, No. 2Enabling numerically exact local solver for waveform inversion—a low-rank approach27 June 2019 | Computational Geosciences, Vol. 23, No. 4A statistical comparison of three 4D Full-Waveform Inversion schemesMaria Kotsi and Alison Malcolm17 August 2017Full-Waveform Inversion I Complete Session17 August 2017Rapid 4D FWI using a local wave solverAlison Malcolm and Bram Willemsen1 December 2016 | The Leading Edge, Vol. 35, No. 12Time-lapse full-waveform inversion as a reservoir-monitoring tool — A North Sea case studyErik Hicks, Henning Hoeber, Marianne Houbiers, Séverine Pannetier Lescoffit, Andrew Ratcliffe, and Vetle Vinje3 October 2016 | The Leading Edge, Vol. 35, No. 10Joint reparametrized time-lapse full-waveform inversionWubshet Alemie and Mauricio Sacchi1 September 2016Time-lapse full-waveform inversion with ocean-bottom-cable data: Application on Valhall fieldDi Yang, Faqi Liu, Scott Morton, Alison Malcolm, and Michael Fehler10 June 2016 | GEOPHYSICS, Vol. 81, No. 4Estimation of rock physics properties from seismic attributes — Part 2: ApplicationsBastien Dupuy, Stéphane Garambois, Amir Asnaashari, Hadi M. Balhareth, Martin Landrø, Alexey Stovas, and Jean Virieux14 June 2016 | GEOPHYSICS, Vol. 81, No. 4Double-difference waveform inversion: Feasibility and robustness study with pressure dataDi Yang, Mark Meadows, Phil Inderwiesen, Jorge Landa, Alison Malcolm, and Michael Fehler23 September 2015 | GEOPHYSICS, Vol. 80, No. 6Simultaneous TV-regularized time-lapse FWI with application to field dataMusa Maharramov*, Biondo Biondi, and Mark Meadows19 August 2015Rock-physics-based double-difference inversion for CO2 saturation and porosity at the Cranfield CO2 injection siteRussell W. Carter and Kyle T. Spikes3 April 2015 | Interpretation, Vol. 3, No. 2A combined seismic and geoelectrical monitoring approach for CO2 storage using a synthetic field site21 August 2014 | Environmental Earth Sciences, Vol. 73, No. 7Time-lapse seismic imaging using regularized full-waveform inversion with a prior model: which strategy?14 October 2014 | Geophysical Prospecting, Vol. 63, No. 1Joint full-waveform inversion of time-lapse seismic data setsMusa Maharramov* and Biondo Biondi5 August 2014Geophysical evaluations of renewable gas energy in geologic pore storage - Numerical studySaid A. al Hagrey*, Daniel Köhn, and Wolfgang Rabbel5 August 2014Using image warping for time-lapse image domain wavefield tomographyDi Yang, Alison Malcolm, and Michael Fehler22 May 2014 | GEOPHYSICS, Vol. 79, No. 3Double-difference elastic-waveform inversion with prior information for time-lapse monitoringZhigang Zhang and Lianjie Huang11 October 2013 | GEOPHYSICS, Vol. 78, No. 6Using image warping for time-lapse image domain wavefield tomographyDi Yang, Alison Malcolm, and Mike Fehler19 August 2013Reservoir monitoring using double-difference elastic-waveform inversion with sparse-array dataZhigang Zhang and Lianjie Huang19 August 2013Double-difference waveform inversion of 4D ocean bottom cable data: Application to Valhall, North SeaDi Yang, Michael Fehler, Alison Malcolm, Faqi Liu, and Scott Morton19 August 2013A new stochastic inversion workflow for time-lapse data: hybrid starting model and double-difference inversion6 June 2013 | Journal of Geophysics and Engineering, Vol. 10, No. 3Time-lapse imaging using regularized FWI: a robustness studyAmir Asnaashari, Romain Brossier, Stéphane Garambois, François Audebert, Pierre Thore, and Jean Virieux 25 October 2012Target-oriented Time-lapse Waveform Inversion using Virtual SurveyDi Yang, Yingcai Zheng, Michael Fehler, and Alison Malcolm25 October 2012Sensitivity analysis of time‐lapse images obtained by differential waveform inversion with respect to reference modelAmir Asnaashari, Romain Brossier, Stéphane Garambois, François Audebert, Pierre Thore, and Jean Virieux25 May 2012Carbon sequestration monitoring with acoustic double‐difference waveform inversion: A case study on SACROC walkaway VSP dataDi Yang, Michael Fehler, Alison Malcolm, and Lianjie Huang25 May 2012 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: 14 Oct 2009 CITATION INFORMATION Huseyin Denli and Lianjie Huang, (2009), Double‐difference elastic waveform tomography in the time domain, SEG Technical Program Expanded Abstracts : 2302-2306. https://doi.org/10.1190/1.3255320 Plain-Language Summary PDF DownloadLoading ..." @default.
• W2334669984 created "2016-06-24" @default.
• W2334669984 creator A5088229467 @default.
• W2334669984 creator A5089459405 @default.
• W2334669984 date "2009-01-01" @default.
• W2334669984 modified "2023-10-12" @default.
• W2334669984 title "Double‐difference elastic waveform tomography in the time domain" @default.
• W2334669984 cites W1569090332 @default.
• W2334669984 cites W1992390863 @default.
• W2334669984 cites W2009552164 @default.
• W2334669984 cites W2026497869 @default.
• W2334669984 cites W2069316415 @default.
• W2334669984 cites W2079017977 @default.
• W2334669984 cites W2090048351 @default.
• W2334669984 cites W2099857446 @default.
• W2334669984 cites W2120704348 @default.
• W2334669984 cites W2136247928 @default.
• W2334669984 cites W2144754538 @default.
• W2334669984 cites W2150240527 @default.
• W2334669984 cites W2166525224 @default.
• W2334669984 cites W2173042454 @default.
• W2334669984 cites W4376597674 @default.
• W2334669984 doi "https://doi.org/10.1190/1.3255320" @default.
• W2334669984 hasPublicationYear "2009" @default.
• W2334669984 type Work @default.
• W2334669984 sameAs 2334669984 @default.
• W2334669984 citedByCount "50" @default.
• W2334669984 countsByYear W23346699842012 @default.
• W2334669984 countsByYear W23346699842013 @default.
• W2334669984 countsByYear W23346699842014 @default.
• W2334669984 countsByYear W23346699842015 @default.
• W2334669984 countsByYear W23346699842016 @default.
• W2334669984 countsByYear W23346699842017 @default.
• W2334669984 countsByYear W23346699842018 @default.
• W2334669984 countsByYear W23346699842019 @default.
• W2334669984 countsByYear W23346699842020 @default.
• W2334669984 countsByYear W23346699842021 @default.
• W2334669984 countsByYear W23346699842022 @default.
• W2334669984 countsByYear W23346699842023 @default.
• W2334669984 crossrefType "proceedings-article" @default.
• W2334669984 hasAuthorship W2334669984A5088229467 @default.
• W2334669984 hasAuthorship W2334669984A5089459405 @default.
• W2334669984 hasConcept C103824480 @default.
• W2334669984 hasConcept C120665830 @default.
• W2334669984 hasConcept C121332964 @default.
• W2334669984 hasConcept C122959257 @default.
• W2334669984 hasConcept C127313418 @default.
• W2334669984 hasConcept C163716698 @default.
• W2334669984 hasConcept C165205528 @default.
• W2334669984 hasConcept C1893757 @default.
• W2334669984 hasConcept C197424946 @default.
• W2334669984 hasConcept C24890656 @default.
• W2334669984 hasConcept C2780977457 @default.
• W2334669984 hasConcept C31972630 @default.
• W2334669984 hasConcept C41008148 @default.
• W2334669984 hasConcept C554190296 @default.
• W2334669984 hasConcept C76155785 @default.
• W2334669984 hasConcept C77928131 @default.
• W2334669984 hasConcept C8058405 @default.
• W2334669984 hasConceptScore W2334669984C103824480 @default.
• W2334669984 hasConceptScore W2334669984C120665830 @default.
• W2334669984 hasConceptScore W2334669984C121332964 @default.
• W2334669984 hasConceptScore W2334669984C122959257 @default.
• W2334669984 hasConceptScore W2334669984C127313418 @default.
• W2334669984 hasConceptScore W2334669984C163716698 @default.
• W2334669984 hasConceptScore W2334669984C165205528 @default.
• W2334669984 hasConceptScore W2334669984C1893757 @default.
• W2334669984 hasConceptScore W2334669984C197424946 @default.
• W2334669984 hasConceptScore W2334669984C24890656 @default.
• W2334669984 hasConceptScore W2334669984C2780977457 @default.
• W2334669984 hasConceptScore W2334669984C31972630 @default.
• W2334669984 hasConceptScore W2334669984C41008148 @default.
• W2334669984 hasConceptScore W2334669984C554190296 @default.
• W2334669984 hasConceptScore W2334669984C76155785 @default.
• W2334669984 hasConceptScore W2334669984C77928131 @default.
• W2334669984 hasConceptScore W2334669984C8058405 @default.
• W2334669984 hasLocation W23346699841 @default.
• W2334669984 hasOpenAccess W2334669984 @default.
• W2334669984 hasPrimaryLocation W23346699841 @default.
• W2334669984 hasRelatedWork W1974895211 @default.
• W2334669984 hasRelatedWork W2024367938 @default.
• W2334669984 hasRelatedWork W2129841057 @default.
• W2334669984 hasRelatedWork W2176409448 @default.
• W2334669984 hasRelatedWork W2364769705 @default.
• W2334669984 hasRelatedWork W2898383381 @default.
• W2334669984 hasRelatedWork W2964463557 @default.
• W2334669984 hasRelatedWork W3040712279 @default.
• W2334669984 hasRelatedWork W3146763713 @default.
• W2334669984 hasRelatedWork W4367555392 @default.
• W2334669984 isParatext "false" @default.
• W2334669984 isRetracted "false" @default.
• W2334669984 magId "2334669984" @default.
• W2334669984 workType "article" @default.