An integrated reservoir characterization study with data analytics in Búzios field, Santos Basin, offshore Brazil

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2020An integrated reservoir characterization study with data analytics in Búzios field, Santos Basin, offshore BrazilAuthors: Shihong ChiZakir HossainAndrew HartwigYijie ZhouShihong ChiION GeophysicalSearch for more papers by this author, Zakir HossainION GeophysicalSearch for more papers by this author, Andrew HartwigION GeophysicalSearch for more papers by this author, and Yijie ZhouNoble EnergySearch for more papers by this authorhttps://doi.org/10.1190/segam2020-3422650.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractThe deep-water sub-salt carbonate reservoirs in Brazil are important plays that draw the attention of the E&P community. However, accurately characterizing the sub-salt reservoirs is still a challenging task due to the difficulties in the sub-salt imaging, velocity model building, and data quality and resolution. In this study, we explore a set of analytic predictive models to extend beyond the traditional reservoir characterization practice, which may be constrained by the data quality and the limitations of the 1D convolution model, thus allowing for an improved characterization of the ultra-deep sub-salt reservoirs, offshore Brazil. Our studied area is located in the Búzios field, Santos Basin, offshore Brazil. We start with the petrophysical analysis, followed by facies classification, and AVO inversion. Finally, we predict rock properties from the 3D seismic volume by applying an integrated interpretation procedure that utilizes data analytic techniques, which incorporate seismic inversion results, facies predictions, well logs and geological interpretation. The predicted 3D reservoir properties show a good match with well data.Presentation Date: Wednesday, October 14, 2020Session Start Time: 1:50 PMPresentation Time: 4:20 PMLocation: 360DPresentation Type: OralKeywords: reservoir characterization, rock physics, machine learningPermalink: https://doi.org/10.1190/segam2020-3422650.1FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2020ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2020 Pages: 3887 publication data© 2020 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 30 Sep 2020 CITATION INFORMATION Shihong Chi, Zakir Hossain, Andrew Hartwig, and Yijie Zhou, (2020), "An integrated reservoir characterization study with data analytics in Búzios field, Santos Basin, offshore Brazil," SEG Technical Program Expanded Abstracts : 2260-2264. https://doi.org/10.1190/segam2020-3422650.1 Plain-Language Summary Keywordsreservoir characterizationrock physicsmachine learningPDF DownloadLoading ...