FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891919454> ?p ?o ?g. }

• W2891919454 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2018Imaging sand dunes using helicopter-borne TEM data for seismic near-surface correctionsAuthors: Erşan TürkoğluDaniele ColomboGary McNeiceDiego RovettaErnesto Sandoval-CurielTaqi YousufErşan TürkoğluGeophysics Technology, EXPEC Advanced Research Center, Saudi AramcoSearch for more papers by this author, Daniele ColomboGeophysics Technology, EXPEC Advanced Research Center, Saudi AramcoSearch for more papers by this author, Gary McNeiceGeophysics Technology, EXPEC Advanced Research Center, Saudi AramcoSearch for more papers by this author, Diego RovettaGeophysics Technology, EXPEC Advanced Research Center, Saudi AramcoSearch for more papers by this author, Ernesto Sandoval-CurielGeophysics Technology, EXPEC Advanced Research Center, Saudi AramcoSearch for more papers by this author, and Taqi YousufGeophysics Technology, EXPEC Advanced Research Center, Saudi AramcoSearch for more papers by this authorhttps://doi.org/10.1190/segam2018-2994712.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractA high-resolution helicopter-borne transient electromagnetic (TEM) program was carried out in an area of complex geology in central Saudi Arabia for enhancing the near-surface velocity model. Joint inversion of seismic travel time and TEM data was performed targeting the velocity model reconstruction of an extended near-surface section for seismic depth imaging. Half of the survey area is characterized by dunes and in this work we review the pre-processing and inversion methodologies for the TEM data to boost the shallow resolution to the conductive substratum on top of which the dunes are deposited. The correct geometrical representation of the base of sand (BOS) is of key importance for performing near surface corrections in seismic processing. Using skin-depth-dependent stacking and adequate inversion starting models allowed to boost the shallow resolution of the resistivity image to enable accurate sand dune statics corrections in seismic processing.Presentation Date: Wednesday, October 17, 2018Start Time: 8:30:00 AMLocation: 213A (Anaheim Convention Center)Presentation Type: OralKeywords: airborne survey, resistivity, near surface, Multiphysics, staticsPermalink: https://doi.org/10.1190/segam2018-2994712.1FiguresReferencesRelatedDetailsCited byMicro transient EM for seismic sand corrections through physics-coupled deep learningDaniele Colombo, Ersan Turkoglu, Ernesto Sandoval-Curiel, and Javier Giraldo-Buitrago15 August 2022Advanced analysis of helicopter-borne microTEM data for seismic base of sand correctionsErsan Turkoglu, Daniele Colombo, and Ernesto Sandoval-Curiel15 August 2022An airborne micro-TEM and physics deep learning solution to near-surface corrections in sand-covered areasDaniele Colombo, Ersan Türkoğlu, and Ernesto Sandoval-Curiel2 May 2022 | The Leading Edge, Vol. 41, No. 5Near-surface full-waveform inversion in a transmission surface-consistent schemeDaniele Colombo, Ernesto Sandoval-Curiel, Diego Rovetta, and Apostolos Kontakis15 February 2021 | GEOPHYSICS, Vol. 86, No. 2 SEG Technical Program Expanded Abstracts 2018ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2018 Pages: 5520 publication data© 2018 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 27 Aug 2018 CITATION INFORMATION Erşan Türkoğlu, Daniele Colombo, Gary McNeice, Diego Rovetta, Ernesto Sandoval-Curiel, and Taqi Yousuf, (2018), Imaging sand dunes using helicopter-borne TEM data for seismic near-surface corrections, SEG Technical Program Expanded Abstracts : 2302-2306. https://doi.org/10.1190/segam2018-2994712.1 Plain-Language Summary Keywordsairborne surveyresistivitynear surfaceMultiphysicsstaticsPDF DownloadLoading ..." @default.
• W2891919454 created "2018-09-27" @default.
• W2891919454 creator A5002820990 @default.
• W2891919454 creator A5009839263 @default.
• W2891919454 creator A5012078441 @default.
• W2891919454 creator A5054386475 @default.
• W2891919454 creator A5076813873 @default.
• W2891919454 creator A5090564286 @default.
• W2891919454 date "2018-08-27" @default.
• W2891919454 modified "2023-09-27" @default.
• W2891919454 title "Imaging sand dunes using helicopter-borne TEM data for seismic near-surface corrections" @default.
• W2891919454 cites W2108448944 @default.
• W2891919454 cites W2162711673 @default.
• W2891919454 cites W2181578319 @default.
• W2891919454 cites W2333899279 @default.
• W2891919454 cites W2547410211 @default.
• W2891919454 doi "https://doi.org/10.1190/segam2018-2994712.1" @default.
• W2891919454 hasPublicationYear "2018" @default.
• W2891919454 type Work @default.
• W2891919454 sameAs 2891919454 @default.
• W2891919454 citedByCount "5" @default.
• W2891919454 countsByYear W28919194542021 @default.
• W2891919454 countsByYear W28919194542022 @default.
• W2891919454 countsByYear W28919194542023 @default.
• W2891919454 crossrefType "proceedings-article" @default.
• W2891919454 hasAuthorship W2891919454A5002820990 @default.
• W2891919454 hasAuthorship W2891919454A5009839263 @default.
• W2891919454 hasAuthorship W2891919454A5012078441 @default.
• W2891919454 hasAuthorship W2891919454A5054386475 @default.
• W2891919454 hasAuthorship W2891919454A5076813873 @default.
• W2891919454 hasAuthorship W2891919454A5090564286 @default.
• W2891919454 hasConcept C127313418 @default.
• W2891919454 hasConcept C142724271 @default.
• W2891919454 hasConcept C161191863 @default.
• W2891919454 hasConcept C165205528 @default.
• W2891919454 hasConcept C1893757 @default.
• W2891919454 hasConcept C2777532764 @default.
• W2891919454 hasConcept C3020199158 @default.
• W2891919454 hasConcept C41008148 @default.
• W2891919454 hasConcept C62649853 @default.
• W2891919454 hasConcept C71924100 @default.
• W2891919454 hasConcept C77928131 @default.
• W2891919454 hasConceptScore W2891919454C127313418 @default.
• W2891919454 hasConceptScore W2891919454C142724271 @default.
• W2891919454 hasConceptScore W2891919454C161191863 @default.
• W2891919454 hasConceptScore W2891919454C165205528 @default.
• W2891919454 hasConceptScore W2891919454C1893757 @default.
• W2891919454 hasConceptScore W2891919454C2777532764 @default.
• W2891919454 hasConceptScore W2891919454C3020199158 @default.
• W2891919454 hasConceptScore W2891919454C41008148 @default.
• W2891919454 hasConceptScore W2891919454C62649853 @default.
• W2891919454 hasConceptScore W2891919454C71924100 @default.
• W2891919454 hasConceptScore W2891919454C77928131 @default.
• W2891919454 hasLocation W28919194541 @default.
• W2891919454 hasOpenAccess W2891919454 @default.
• W2891919454 hasPrimaryLocation W28919194541 @default.
• W2891919454 hasRelatedWork W1968702681 @default.
• W2891919454 hasRelatedWork W1969245073 @default.
• W2891919454 hasRelatedWork W2011865941 @default.
• W2891919454 hasRelatedWork W2022035173 @default.
• W2891919454 hasRelatedWork W2031573214 @default.
• W2891919454 hasRelatedWork W2112239028 @default.
• W2891919454 hasRelatedWork W2371527909 @default.
• W2891919454 hasRelatedWork W3036915269 @default.
• W2891919454 hasRelatedWork W3109652668 @default.
• W2891919454 hasRelatedWork W3113596969 @default.
• W2891919454 isParatext "false" @default.
• W2891919454 isRetracted "false" @default.
• W2891919454 magId "2891919454" @default.
• W2891919454 workType "article" @default.