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• W2316575073 abstract "PreviousNext No AccessNear Surface Geophysics Asia Pacific Conference, Beijing, China 17-19 July 2013Near-surface Structure Estimation using Rayleigh Wave and a Genetic AlgorithmAuthors: Tongju GongMiao LiuHongjun ZhangXiaodong LiHaolin ChenJun LiuRenwu LiuYuanquan YeTongju GongBGP, CNPCSearch for more papers by this author, Miao LiuBGP, CNPCSearch for more papers by this author, Hongjun ZhangBGP, CNPCSearch for more papers by this author, Xiaodong LiBGP, CNPCSearch for more papers by this author, Haolin ChenBGP, CNPCSearch for more papers by this author, Jun LiuBGP, CNPCSearch for more papers by this author, Renwu LiuBGP, CNPCSearch for more papers by this author, and Yuanquan YeBGP, CNPCSearch for more papers by this authorhttps://doi.org/10.1190/nsgapc2013-058 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Utilization of Rayleigh wave in near-surface investigation is drawing more and more attention thanks to its nondestructive and environmental advantages over the traditional borehole methods. The conducting process of a whole survey consists of three main phases: field data acquisition of Rayleigh wave, dispersion curves extraction from acquired data, and inversion of near-surface structure (including layer thickness, P-wave, and S-wave velocity). The last two phases need corresponding algorithms. The purpose of this study is to give a dime tour of methods of dispersion calculation from field data and its inversion, and then a model test is presented to show the effectiveness of the adopted genetic algorithm (GA) inversion with multi-mode dispersion curves, finally a real world example is inverted using dispersion curves calculated by linear Radon transform and GA. The inversion result is compared with adjacent borehole test; agreement of the two outcomes validates the method. Summarization of the pros and cons of the method are also objectively listed. Keywords: near surface, environmental, borehole geophysics, dispersion, alogrithms, inversionPermalink: https://doi.org/10.1190/nsgapc2013-058FiguresReferencesRelatedDetailsCited ByJoint Inversion Scheme of Dispersive Surface Waves for Near-surface Structure EstimationTongju Gong*, Miao Liu, Yiming Wang, Zhiwei Zhu, and Baoqing Zhang10 July 2015 Near Surface Geophysics Asia Pacific Conference, Beijing, China 17-19 July 2013ISSN (online):2159-6832Copyright: 2013 Pages: 705 publication data© 2013 Published in electronic format with permission by the Society of Exploration Geophysicists, Australian Society of Exploration Geophysicists, Chinese Geophysical Society, Korean Society of Earth and Exploration Geophysicists, and Society of Exploration Geophysicists of JapanPublisher:Society of Exploration Geophysicists HistoryPublished: 27 Jan 2014 CITATION INFORMATION Tongju Gong, Miao Liu, Hongjun Zhang, Xiaodong Li, Haolin Chen, Jun Liu, Renwu Liu, and Yuanquan Ye, (2013), Near-surface Structure Estimation using Rayleigh Wave and a Genetic Algorithm, SEG Global Meeting Abstracts : 249-252. https://doi.org/10.1190/nsgapc2013-058 Plain-Language Summary Keywordsnear surfaceenvironmentalborehole geophysicsdispersionalogrithmsinversionPDF DownloadLoading ..." @default.
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• W2316575073 title "Near-surface Structure Estimation using Rayleigh Wave and a Genetic Algorithm" @default.
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