The chimney cube, an example of semi‐automated detection of seismic objects by directive attributes and neural networks: Part II; Interpretation (1999)

PreviousNext No AccessSEG Technical Program Expanded Abstracts 1999The chimney cube, an example of semi‐automated detection of seismic objects by directive attributes and neural networks: Part II; InterpretationAuthors: Roar HegglandPaul MeldahlBert BrilPaul de GrootRoar HegglandStatoil, Paul MeldahlStatoil, Bert Brilde Groot ‐ Bril Earth Sciences, and Paul de Grootde Groot ‐ Bril Earth Scienceshttps://doi.org/10.1190/1.1821263 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1821263FiguresReferencesRelatedDetailsCited byDetection of faults from 2D seismic data using multi-attribute analysis and artificial neural network: a case study from Nekor Basin, North Morocco25 August 2022 | Mediterranean Geoscience Reviews, Vol. 4, No. 4Neural net detection of seismic features related to gas hydrates and free gas accumulations on the northern U.S. Atlantic marginUrmi Majumdar, Nathaniel C. Miller, and Carolyn D. Ruppel27 September 2022 | Interpretation, Vol. 10, No. 4Acoustic, density, and seismic attribute analysis to aid gas detection and delineation of reservoir propertiesRETRACTED ARTICLE: The characteristics of rainfall in coastal areas and the intelligent library book push system oriented to the Internet of Things3 June 2021 | Arabian Journal of Geosciences, Vol. 14, No. 12Gas chimney and hydrocarbon detection using combined BBO and artificial neural network with hybrid seismic attributes16 May 2019 | Soft Computing, Vol. 24, No. 3Hydrocarbon resource evaluation using combined petrophysical analysis and seismically derived reservoir characterization, offshore Niger Delta3 October 2017 | Journal of Petroleum Exploration and Production Technology, Vol. 8, No. 13D Seismic Data Segmentation Based on the Orientation Coherence MethodDetection of fluid migration pathways in seismic data: implications for fault seal analysisBasin Research, Vol. 17, No. 1Predicting seal risk and charge capacity using chimney processing: Three Gulf of Mexico case historiesDavid Walraven, Fred Aminzadeh, and David L. Connolly3 January 2005Examples of Multi-attribute, Neural Network-Based Seismic Object Detection21 July 2004 | Geological Society, London, Memoirs, Vol. 29, No. 1Neural networks as an intelligence amplification tool: A review of applicationsMary M. Poulton24 May 2002 | GEOPHYSICS, Vol. 67, No. 3Improving seismic chimney detection using directional attributesJournal of Petroleum Science and Engineering, Vol. 29, No. 3-4 SEG Technical Program Expanded Abstracts 1999ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 1999 Pages: 2061 publication data© 1999 Copyright © 1999 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 04 Jan 2005 CITATION INFORMATION Roar Heggland, Paul Meldahl, Bert Bril, and Paul de Groot, (1999), "The chimney cube, an example of semi‐automated detection of seismic objects by directive attributes and neural networks: Part II; Interpretation," SEG Technical Program Expanded Abstracts : 935-940. https://doi.org/10.1190/1.1821263 Plain-Language Summary PDF DownloadLoading ...