We have proposed a novel method for seismic trace interpolation using f-x regularization nonstationary autoregression (f-x RNA). f-x RNA interpolation can deal with the events which have space-varying dips because the estimated f-x RNA coefficients are smoothly dependent on space direction. This method includes two steps: the estimation of f-x RNA coefficients and the reconstruction missing traces using estimated f-x RNA. Similar to Spitz’s f-x interpolation, we also use f-x RNA estimated from low frequency components to obtain f-x RNA of aliased high frequency components. We implement the algorithm by iterated scheme using complex-numbers conjugate gradient method. The applicability of the proposed method is examined using synthetic and field data examples.


Article metrics loading...

Loading full text...

Full text loading...


  1. Claerbout, J.
    [2010] Image estimation by example: Geophysical soundings image construction-Multidimensional autoregression, SEP, http://sepwww.stanford.edu/sep/prof/.
    [Google Scholar]
  2. Liu, G., Chen, X., Du, J. and WuK.
    , [2012] Random noise attenuation using f-x regularized nonstationary autoregression, Geophysics, 77, V61–V69.
    [Google Scholar]
  3. Liu, Y. and Fomel, S.
    [2011] Seismic data interpolation beyond aliasing using regularized nonstationary autoregression, Geophysics, 76, V69–V77.
    [Google Scholar]
  4. Naghizadeh, M. and Sacchi, M.
    [2009] f-x adaptive seismic-trace interpolation, Geophysics, 74, V9–V16.
    [Google Scholar]
  5. Spitz, S.
    [1991] Seismic trace interpolation in the f-x domain, Geophysics, 56, 785–794.
    [Google Scholar]

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error