• DocumentCode
    1187538
  • Title

    Bayesian estimation in seismic migration

  • Author

    Pitas, Ioannis ; Venetsanopoulos, Anastasios N.

  • Author_Institution
    Electr. Eng., Thessaloniki Univ., Greece
  • Volume
    36
  • Issue
    2
  • fYear
    1988
  • fDate
    2/1/1988 12:00:00 AM
  • Firstpage
    252
  • Lastpage
    264
  • Abstract
    Seismic migration is a technique widely used in seismic oil exploration for wavefield reconstruction and for imaging the geometrical distribution of the reflection surfaces within the Earth from the seismic data recorded on the Earth surface. These data are usually corrupted by noise (white noise, surface waves, multiple reflections, etc.) that degrades the result of the migration. Another factor which influences the migration is the inadequate knowledge of the distribution of the acoustic wave propagation velocity in the subsurface of the Earth. The authors use estimation theory techniques to find the MAP (maximum a posterior) estimate of the wave propagation velocity and the geometrical distribution of the subsurface reflector points
  • Keywords
    acoustic signal processing; acoustic wave propagation; acoustic wave velocity; geophysical prospecting; geophysical techniques; seismology; Bayesian estimation; Earth interior; Earth surface; acoustic wave propagation velocity; estimation theory; geometrical distribution; geophysical exploration; imaging; maximum a posteriori estimate; multiple reflections; reflection seismology; reflection surfaces; seismic data; seismic data corruption; seismic migration; seismic oil exploration; subsurface reflector points; surface waves; wavefield reconstruction; white noise; Acoustic noise; Acoustic propagation; Acoustic reflection; Bayesian methods; Earth; Image reconstruction; Petroleum; Surface acoustic waves; Surface reconstruction; White noise;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.1517
  • Filename
    1517