• DocumentCode
    1839697
  • Title

    Surface-Related Multiples Prediction Based on Wave Equation

  • Author

    Shi Ying ; Liu Shi-zhu ; Li Ying

  • Author_Institution
    Sch. of Earth Sci., Northeast Pet. Univ. Daqing, Daqing, China
  • fYear
    2013
  • fDate
    21-23 June 2013
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    Multiples prediction and adaptive subtraction are two important aspects for surface-related multiples suppression method based on wave-equation. In this paper, only the prediction part is discussed. GPU (graphic processing unit) with parallel computation advantage is exploited to accelerate surface-related multiples prediction, which improved calculation efficiency greatly. So the prediction of surface-related multiples using 2D algorithms is applied widely in data processing. However, prediction methods based on 2D input data are often not capable of predicting the surface-related multiples correctly. Therefore, wave equation-based multiples prediction need to be applied in a full 3D sense. In this paper, 2D SRME (Surface-related multiples elimination) algorithm is applied on theoretical SMAART model and 3D SRME is applied on forward modeling data set. The test results demonstrate that the approach can predict multiples efficiently.
  • Keywords
    geophysical prospecting; geophysics computing; graphics processing units; partial differential equations; seismic waves; wave equations; 2D SRME algorithm; GPU; adaptive subtraction; data processing; graphic processing unit; parallel computation; seismic prospecting; surface-related multiples elimination; surface-related multiples prediction; surface-related multiples suppression method; wave equation; Algorithm design and analysis; Computational efficiency; Graphics processing units; Prediction algorithms; Surface treatment; Surface waves; Three-dimensional displays; 3D SRME; GPU; multiples; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
  • Conference_Location
    Shiyang
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.20
  • Filename
    6642935