Seismic AVO statistical inversion incorporating poroelasticity

Abstract

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2020Seismic AVO statistical inversion incorporating poroelasticityAuthors: Kun LiXingyao YinKun LiChina University of Petroleum (East China)Search for more papers by this author and Xingyao YinChina University of Petroleum (East China)Search for more papers by this authorhttps://doi.org/10.1190/segam2020-3413168.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractSeismic AVO inversion is an important approach for quantitative prediction of rock elasticity, lithology and fluid properties. With Biot-Gassmann’s poroelasticity, an improved statistical AVO inversion approach is proposed. To distinguish the influence of rock porosity and pore-fluid modulus on AVO reflection coefficients, the AVO equation of reflection coefficients parameterized by porosity, rock-matrix moduli, density and fluid modulus is initially derived from Gassmann equation and critical porosity model. Furthermore, a statistical AVO stepwise inversion method is implemented to the simultaneous estimation of rock porosity, rock-matrix modulus, density and fluid modulus. Besides, the Laplace probability model and differential evolution-Markov chain Monte Carlo algorithm are utilized for the stochastic simulation within Bayesian framework. Models and field data examples demonstrate that the simultaneous optimizations of multiple Markov chains can achieve the efficient simulation of the posterior probability density distribution of model parameters, which is helpful for the uncertainty analysis of the inversion and sets a theoretical fundament for reservoir characterization.Presentation Date: Wednesday, October 14, 2020Session Start Time: 1:50 PMPresentation Time: 2:15 PMLocation: 362APresentation Type: OralKeywords: AVO/AVA, inversion, impedance, reservoir characterization, rock physicsPermalink: https://doi.org/10.1190/segam2020-3413168.1FiguresReferencesRelatedDetailsCited byApplication of AVO to thickness prediction of thin sandJournal of Computational Methods in Sciences and Engineering, Vol. 22, No. 3 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 Kun Li and Xingyao Yin, (2020), "Seismic AVO statistical inversion incorporating poroelasticity," SEG Technical Program Expanded Abstracts : 250-254. https://doi.org/10.1190/segam2020-3413168.1 Plain-Language Summary KeywordsAVO/AVAinversionimpedancereservoir characterizationrock physicsPDF DownloadLoading ...