Porosity from artificial neural network inversion for Bermejo Field, Ecuador

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PreviousNext No AccessSEG Technical Program Expanded Abstracts 2001Porosity from artificial neural network inversion for Bermejo Field, EcuadorAuthors: Qiang SunMohamed EissaJohn CastagnaDario Sergio CersosimoShengjie SunCarrie DeckerQiang SunUniversity of Oklahoma, Mohamed EissaUniversity of Oklahoma, John CastagnaUniversity of Oklahoma, Dario Sergio CersosimoTecpetrol, Shengjie SunUniversity of Oklahoma, and Carrie DeckerUniversity of Oklahomahttps://doi.org/10.1190/1.1816735 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1816735FiguresReferencesRelatedDetailsCited ByInverse Theory, Artificial Neural Networks27 May 2021Porosity prediction from X-ray computed tomography logs (RHOB and PEF) using Artificial Neural Networks (ANN)30 September 2020 | Boletín de Geología, Vol. 42, No. 3Inverse Theory: Artificial Neural Networks25 August 2020Prediction of water saturation in a tight gas sandstone reservoir by using four intelligent methods: a comparative study9 December 2016 | Neural Computing and Applications, Vol. 30, No. 4Identification of Velocity Variations in a Seismic Cube Using Neural Networks SEG Technical Program Expanded Abstracts 2001ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2001 Pages: 2135 publication data© 2001 Copyright © 2001 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 03 Jan 2005 CITATION INFORMATION Qiang Sun, Mohamed Eissa, John Castagna, Dario Sergio Cersosimo, Shengjie Sun, and Carrie Decker, (2001), "Porosity from artificial neural network inversion for Bermejo Field, Ecuador," SEG Technical Program Expanded Abstracts : 734-737. https://doi.org/10.1190/1.1816735 Plain-Language Summary PDF DownloadLoading ...