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• W2891761666 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2018Improving the accuracy of permeability prediction modeling based on flow units: An example from the Khasib Limestone Reservoir of Ahdeb Oil Field, IraqAuthors: Xin LiHaiping HuangHao LuXin LiZhenhua Oil Company Research CenterSearch for more papers by this author, Haiping HuangZhenhua Oil Company Research CenterSearch for more papers by this author, and Hao LuState Key Laboratory of Oil and Gas Reservoir Geology and Exploration, Southwest Petroleum UniversitySearch for more papers by this authorhttps://doi.org/10.1190/segam2018-2996525.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Knowledge of permeability is critical for developing an effective reservoir description. The accuracy of petrophysical models of permeability from conventional methods is relatively low. In this paper, the concept of flow units is used to evaluate formation permeability for a carbonate reservoir located in Iraq. Based on comprehensive analysis of core and well log data, flow units are established and subsequently are used to model permeability among several flow units. Correlation between porosity and permeability in each flow unit improves significantly, resulting in the establishment of a permeability model for each unit. Comparison of calculated permeability and core results indicates a highly accurate permeability model. Mercury injection data including Pc10, Rc50 and pore throat size, integrated with thin section observations, are also used to evaluate the physical properties of three distinct flow units. Permeability profiles are generated for each flow unit using well log data agree with core data. This agreement illustrates the potential and applicability of the flow unit method in complicated carbonate reservoirs. Presentation Date: Wednesday, October 17, 2018 Start Time: 8:30:00 AM Location: 209A (Anaheim Convention Center) Presentation Type: Oral Keywords: permeability, well-log interpretation, reservoir characterizationPermalink: https://doi.org/10.1190/segam2018-2996525.1FiguresReferencesRelatedDetailsCited byProduction prediction and main controlling factors in a highly heterogeneous sandstone reservoir: Analysis on the basis of machine learning13 September 2022 | Energy Science & Engineering, Vol. 10, No. 12Microporosity Quantification and Flow Unit Prediction Using Neural Networks: A Case Study from Malaysia18 March 2022 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 Xin Li, Haiping Huang, and Hao Lu, (2018), Improving the accuracy of permeability prediction modeling based on flow units: An example from the Khasib Limestone Reservoir of Ahdeb Oil Field, Iraq, SEG Technical Program Expanded Abstracts : 3241-3245. https://doi.org/10.1190/segam2018-2996525.1 Plain-Language Summary Keywordspermeabilitywell-log interpretationreservoir characterizationPDF DownloadLoading ..." @default.
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