1887

Abstract

Summary

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.

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/content/papers/10.3997/2214-4609.20141570
2014-06-16
2020-04-06
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References

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