Strategy for estimation of lithology and reservoir properties from seismic velocities and density

Abstract

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2004Strategy for estimation of lithology and reservoir properties from seismic velocities and densityAuthors: Tor Arne JohansenKyle SpikesJack DvorkinTor Arne JohansenDepartment of Earth Science & Centre for Integrated Petroleum Research, University of Bergen, NorwaySearch for more papers by this author, Kyle SpikesStanford Rock Physics and Borehole Project, Stanford UniversitySearch for more papers by this author, and Jack DvorkinStanford Rock Physics and Borehole Project, Stanford UniversitySearch for more papers by this authorhttps://doi.org/10.1190/1.1845162 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract The use of seismic data for estimation of lithology and reservoir properties is important in seismic exploration and reservoir characterization. We present a technique for the estimation of porosity, mineral fraction (lithology) and fluid properties from seismic parameters and density. The method includes a resampling of rock physics constraints, made from some rock physics theory, which result in direct relations between the various rock properties to be estimated and each data parameter. The final estimation is made by comparing the relations obtained for all the data parameters. The method is flexible to the type of rock model considered for linking the rock properties and seismic parameters. It also reveals the non‐uniqueness of the rock property solutions in case the problem is underdetermined.Permalink: https://doi.org/10.1190/1.1845162FiguresReferencesRelatedDetailsCited ByTime-lapse seismic data inversion for estimating reservoir parameters using deep learningHarpreet Kaur, Zhi Zhong, Alexander Sun, and Sergey Fomel12 January 2022 | Interpretation, Vol. 10, No. 1Inversion of Time‐Lapse Seismic Reservoir Monitoring Data Using CycleGAN: A Deep Learning‐Based Approach for Estimating Dynamic Reservoir Property Changes7 March 2020 | Journal of Geophysical Research: Solid Earth, Vol. 125, No. 3Estimation of reservoir properties with inverse digital rock-physics modeling approachYing Zheng, Xingyao Yin, and Zhaoyun Zong17 August 2017Reservoir property estimation incorporating prestack inversion and rock-physics theoryQian Liu, Ning Dong, Yuxin Ji, and Tiansheng Chen17 August 2017Effect of rock-physics parameters in the Simandoux model on inverted reservoir rock and fluid propertiesJosiane Pafeng Tchuindjang, Subhashis Mallick, and Lucy MacGregor1 September 2016Quantitative seismic interpretation using inverse rock physics modelling21 September 2015 | Petroleum Geoscience, Vol. 21, No. 4Spatial constrained inverse rock physics modelling14 October 2014 | Geophysical Prospecting, Vol. 63, No. 1Inverse rock physics modeling for reservoir quality predictionTor Arne Johansen, Erling Hugo Jensen, Gary Mavko, and Jack Dvorkin5 March 2013 | GEOPHYSICS, Vol. 78, No. 2Improved quantitative calibration of rock physics models1 November 2011 | Petroleum Geoscience, Vol. 17, No. 4Quantitative calibration of rock‐physics modelsBernardo Moyano, Erling Hugo Jensen, and Tor Arne Johansen21 October 2010 SEG Technical Program Expanded Abstracts 2004ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2004 Pages: 2586 publication data© 2004 Copyright © 2004 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 03 Jan 2005 CITATION INFORMATION Tor Arne Johansen, Kyle Spikes, and Jack Dvorkin, (2004), "Strategy for estimation of lithology and reservoir properties from seismic velocities and density," SEG Technical Program Expanded Abstracts : 1726-1729. https://doi.org/10.1190/1.1845162 Plain-Language Summary PDF DownloadLoading ...