• DocumentCode
    2450383
  • Title

    Digital outcrop modeling and geology information extraction based on ground-based Lidar

  • Author

    Qihong, Zeng ; Xing, Xie ; Youyan, Zhang ; Yong, Ye ; Yan, Hu ; Song, Liu

  • Author_Institution
    Res. Inst. of Pet. Exploration & Dev., PetroChina, Beijing, China
  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    580
  • Lastpage
    583
  • Abstract
    Ground-based Lidar (light detection and ranging) can instantly record the 3-dimensional digital outcrop characterization with a high density and high positional accuracy. It is the new method to capture the geological information from outcrop. This paper presents the new methodology for digital outcrop modeling and geology information extraction based on ground-based Lidar. A complete workflow from data acquisition and processing, 3D digital outcrop model building to geology information extraction is discussed. Based on the digital outcrop model, a method of automatic extracting the dip and strike information of structural surface is researched. And a method of automatic lithology classification is studied too. The 3D digital outcrop model has been applied to geological description and analysis in Xinjiang, China.
  • Keywords
    data acquisition; feature extraction; geographic information systems; geology; geophysical techniques; optical radar; pattern classification; solid modelling; 3-dimensional digital outcrop characterization; 3D digital outcrop model; China; Xinjiang; automatic extraction method; automatic lithology classification; data acquisition; data processing; dip information; geological description; ground-based lidar; ground-based lidar-based geology information extraction; high positional accuracy; light detection and ranging; strike information; Data mining; Data models; Geology; Information retrieval; Laser modes; Laser radar; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376683
  • Filename
    6376683