• DocumentCode
    535477
  • Title

    The application of logging data for the intelligent identification of sequence stratigraphic units

  • Author

    Zhang, Yuanfu ; Jiang, Zaixing ; Xu, Jie ; Li, Hongqi

  • Author_Institution
    Coll. of Energy, China Univ. of Geosci., Beijing, China
  • Volume
    8
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    3715
  • Lastpage
    3720
  • Abstract
    Sequence stratigraphy is an important theory in the field of earth sciences which can analyze the stratigraphy and sedimentary. But how to divide sequence stratigraphic units quantitatively is always a challenge and frontier in this domain. Based on the depth domain and frequency domain of logging data and former experts´ study, and by the guidance of the classic sequence stratigraphy, this article has designed an intelligent identification method to divide sequence stratigraphic units. Based on the research of the accumulative parameter of sand clay ratio, the separate frequency scanning of depth domain, the full frequency scanning method and dominant frequency analyzing method, the software which can intelligently identify the sequence stratigraphic units is created. And this software has well applied in the analysis of real data.
  • Keywords
    data loggers; frequency-domain analysis; geophysical signal processing; geophysical techniques; sand; sediments; soil; stratigraphy; data logging; dominant frequency analyzing method; full frequency scanning method; intelligent identification method; sand clay ratio; sedimentary; sequence stratigraphic units; stratigraphy; Band pass filters; Frequency conversion; Geology; Image color analysis; Software; Time frequency analysis; Sequence stratigraphy; automatically identify; domaint frequency analysis; spectrum analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5648204
  • Filename
    5648204