Integrated model construction for CO2-EOR monitoring via charged-wellbore casing controlled-source electromagnetics

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2019Integrated model construction for CO2-EOR monitoring via charged-wellbore casing controlled-source electromagneticsAuthors: Richard A. KrahenbuhlYaoguo LiW. Andy McAlileyNathan MoodieTrevor IronsBenjamin R. BlossRichard A. KrahenbuhlCenter for Gravity, Electrical & Magnetic Studies (CGEM), Colorado School of MinesSearch for more papers by this author, Yaoguo LiCenter for Gravity, Electrical & Magnetic Studies (CGEM), Colorado School of MinesSearch for more papers by this author, W. Andy McAlileyCenter for Gravity, Electrical & Magnetic Studies (CGEM), Colorado School of MinesSearch for more papers by this author, Nathan MoodieEnergy and Geoscience Institute, University of UtahSearch for more papers by this author, Trevor IronsEnergy and Geoscience Institute, University of UtahSearch for more papers by this author, and Benjamin R. BlossUnited States Geological SurveySearch for more papers by this authorhttps://doi.org/10.1190/segam2019-3215913.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractWe present a method for the integrated development of 3D electrical conductivity models for CO2-EOR monitoring with charged wellbore casing controlled-source electromagnetics (CWC-CSEM). The model is constructed through the multiphysics integration of reservoir simulation, seismic, borehole resistivity, and transient EM (TEM) data. The process is performed in two stages. First, a large background conductivity model is constructed from the combination of seismic, borehole, and TEM data. Second, a more detailed and dynamic component of the model is created within the production interval by converting the reservoir simulation parameters to conductivity through Archie’s equation. In this presentation, we demonstrate the complete workflow for building these 3D conductivity site models that can be updated throughout production using the Bell Creek oil field as an example. We then show application of the developed site model to simulating the predicted CWC-CSEM data as one step in the larger problem of reservoir imaging and monitoring of injected CO2 during enhanced oil recovery.Presentation Date: Tuesday, September 17, 2019Session Start Time: 1:50 PMPresentation Start Time: 4:45 PMLocation: 301BPresentation Type: OralKeywords: electromagnetics, 3D, 4D, monitoring, modelingPermalink: https://doi.org/10.1190/segam2019-3215913.1FiguresReferencesRelatedDetailsCited byMonitoring CO2 storage using well-casing source electromagneticsKris MacLennan1 February 2022 | The Leading Edge, Vol. 41, No. 2 SEG Technical Program Expanded Abstracts 2019ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2019 Pages: 5407 publication data© 2019 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 01 Aug 2019 CITATION INFORMATION Richard A. Krahenbuhl, Yaoguo Li, W. Andy McAliley, Nathan Moodie, Trevor Irons, and Benjamin R. Bloss, (2019), "Integrated model construction for CO2-EOR monitoring via charged-wellbore casing controlled-source electromagnetics," SEG Technical Program Expanded Abstracts : 4908-4912. https://doi.org/10.1190/segam2019-3215913.1 Plain-Language Summary Keywordselectromagnetics3D4DmonitoringmodelingPDF DownloadLoading ...