• DocumentCode
    3427179
  • Title

    Image analysis for core geological descriptions: strata and granulometry detection

  • Author

    Selmaoui, Nazha ; Repetti, Bernard ; Laporte-Magoni, Christine ; Allenbach, Michel

  • Author_Institution
    ERIM, New Caledonia Univ., Noumea, New Caledonia
  • Volume
    4
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    305
  • Abstract
    Digital signal processing is commonly used in Geophysics. Methods combining core sample physical property measurements with image analysis are beginning to emerge. In this paper, we describe a digital processing method applied directly to core sample images. Our approach uses a number of time-frequency and scale-frequency transformations as well as morphological operators that reach a resolution equivalent to and even better than the geologist´s eye. The resources presented below are free from operator-related subjectivity and provide efficient, reliable and repeatable sequential descriptions of geological borehole samples that include both layer detection and grain analysis. Our process´s efficiency is demonstrated through analyses carried out on a number of core samples taken from Cretaceous to Upper Eocene volcano-sedimentary series on New Caledonia´s West Coast.
  • Keywords
    geophysical signal processing; image segmentation; wavelet transforms; Geophysics; core geological description; digital signal processing; granulometry detection; image analysis; strata detection; Digital signal processing; Drilling; Geology; Geophysics; Image analysis; Image recognition; Performance analysis; Rhythm; Scanning electron microscopy; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1333764
  • Filename
    1333764