• DocumentCode
    3138820
  • Title

    Prestack seismic data enhancement with the common-offset common reflection surface (CO CRS) stack

  • Author

    Li, Dong ; Li, Zhenchun ; Sun, Xiaodong ; Qin, Ning ; Zhou, Xuefeng

  • Author_Institution
    Coll. of Geo-resources & Inf., China Univ. of Pet., Qingdao, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    3065
  • Lastpage
    3069
  • Abstract
    A new partial common-offset common reflection surface (CO CRS) stacking method is developed in this paper to enhance the quality of sparse low fold seismic data. A multiparameter CO CRS traveltime formula is applied to compute partially stacked CRS supergathers, which have improved signal-to-noise ratio compared with the original data and are regularized by filling the gaps in cases of missing traces. These improved prestack data can be used in many conventional processing steps, e.g., velocity analysis or prestack depth migration instead of the original data. Application on model data reveals that comparing with the image section obtained from the original seismic data, the image section by the application of depth migration with the CO CRS supergathers improves not only the signal-to-noise ratio but also the continuity of reflection events, which has better imaging results.
  • Keywords
    geophysical signal processing; seismology; CO CRS supergathers; image section; multiparameter CO CRS traveltime formula; partial common offset common reflection surface stacking method; prestack depth migration; prestack seismic data enhancement; sparse low fold seismic data quality; velocity analysis; Data models; Geophysics; Imaging; Noise; Reflection; Stacking; Surface topography; CRS supergathers; data regularizationt; partial CO CRS stack;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639361
  • Filename
    5639361