Page 353 - Acquisition and Processing of Marine Seismic Data
P. 353

344                                  6. DECONVOLUTION

































           FIG. 6.29  Determination of suitable deconvolution operator length from the autocorrelation of an input seismogram.
           (A) Schematic display of a trace’s autocorrelogram indicating the length of the first isolated amplitude package (suitable
           deconvolution operator length). (B) Generally, autocorrelations of a number of successive shot gathers are analyzed together
           to determine the operator length more precisely. The first transient zone on the autocorrelation traces is expected to have
           almost similar characteristics for all seismic traces of the shots, representing the autocorrelation of the source wavelet.

           second zero crossing point of the autocorrelo-  the remaining n lags are zeroed out. Further-
           gram of the input seismogram is a general    more, as the α increases, the amplitude spectra
           convention. Fig. 6.31 shows statistical deconvo-  of the input and deconvolution outputs become
           lution results with an operator length of    similar. In the example in Fig. 6.31,the de-
           n ¼ 100 ms applied to a minimum phase wave-  convolution is ineffective on the wavelet after
           let for different prediction lags. Specifically,  α ¼ 86 ms because all lags of the autocorrela-
           α ¼ 6 ms and α ¼ 18 ms correspond to the first  tion are passed to output. Fig. 6.32 shows
           and the second zero crossing times of the auto-  statistical deconvolution results with an opera-
           correlation in Fig. 6.31, respectively.      tor length of n ¼ 100 ms applied to a minimum
              If the prediction lag is not unity, the predic-  phase seismogram for different prediction lag
           tive deconvolution produces a wavelet of finite  values. Resolution of the deconvolution output
           length instead of a zero-lag spike. As a general  is inversely proportional to the prediction
           implication, for a given input wavelet with a  lag value.
           length of (α + n), a deconvolution operator with  Resolution power of a predictive deconvolu-
           alengthof n and a prediction lag of α truncates  tion output in a noise-free environment can be
           the wavelet in the deconvolved output into a  controlled by prediction lag. A unit prediction
           compressed wavelet of α ms length. The first  lag (α ¼ sampling rate) corresponds to spiking
           α lags of the autocorrelation are passed, while  deconvolution and represents the maximum
   348   349   350   351   352   353   354   355   356   357   358