• DocumentCode
    3258581
  • Title

    Application and research of multiscale morphology in processing for seismic image

  • Author

    Duan, Zhongyu ; Wang, Runqiu ; Ma, Yongqin

  • Author_Institution
    State Key Lab. of Pet. Resource & Prospecting, China Univ. of Pet., Beijing, China
  • Volume
    4
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1813
  • Lastpage
    1818
  • Abstract
    Mathematical morphology which is different from traditional filtering method, becomes a new filtering method of seeking the nuances of wave shapes, and is introduced into the digital processing of seismic image. However, it isn´t widely used now due to its inherent shortcomings. Compared with mathematical morphology, multiscale morphology has a major advantage which developed in this background. It achieves filtering purpose that was added scale concept on the basis of mathematic morphology, then decomposes and reconstructs seismic volume using different structure element. The paper illustrate the fundamental theory of multiscale morphology and analyse its detailed application method in processing seismic image. The conclusions indicate that processing for seismic data in Xinjiang seismic data using multiscale morphology had gotten evident effect.
  • Keywords
    filtering theory; geophysical image processing; image reconstruction; mathematical morphology; seismology; Xinjiang seismic data; filtering method; mathematic morphology; mathematical morphology; multiscale morphology; seismic image processing; seismic volume decomposition; seismic volume reconstruction; structure element; Equations; Filtering; Mathematical model; Morphology; Shape; Signal to noise ratio; multiscale morphology; seismic data processing; structure element;
  • 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.2010.5646879
  • Filename
    5646879