Page 458 - Acquisition and Processing of Marine Seismic Data
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9.3 VELOCITY ANALYSIS IN PRACTICE                    449




























           FIG. 9.23  Semblance plots calculated for different semblance sample rates of (A) 10, (B) 20, (C) 40, and (D) 60 ms. For large
           sample rates, the details of semblance enclosures are lost.


           of amplitudes, including coherent and incoher-  increases, the resolution of the semblance plot
           ent noise, are also involved in the calculation.  significantly decreases, especially for deeper
           Semblance is sensitive to the noise in the input  parts, and the amplitudes of the enclosures
           data and the quality of semblance plots is   gradually die. Furthermore, several artificial
           affected by the amount of noise embedded in  enclosures randomly distributed throughout
           the data. Therefore, it is strongly recommended  the whole semblance plot arise with increasing
           that the data be suitably preconditioned by  noise, which degrades the enclosures of primary
           applying necessary noise suppression tech-   reflections and prevents the precise picking of
           niques before the velocity analysis.         the accurate velocity values.
              The effect of noise on the quality of semblance
           plots is analyzed both on synthetic and real  9.3.10 Effect of Muting
           CDPs. Fig. 9.24 shows four semblance plots of
           a synthetic CDP gather with different random    As depicted in the previous section, sem-
           noise levels ranging from 0% to 30% with respect  blance plots are sensitive to the noise in the data,
           to the maximum reflection amplitude. As the  which creates false enclosures. Noise in the
           noise increases, the shape of the enclosures  water column such as direct wave and refrac-
           degrades   and  the  semblance   amplitudes  tions as well as random noise recorded before
           decrease, especially for deeper reflections. Simi-  the seafloor reflection also produces artificial
           lar implications can be deduced for the sem-  high amplitudes and enclosures on the sem-
           blance plots of real seismic data. A certain  blance plots. This is particularly important for
           amount of random noise is incorporated in the  shallow water data, since these false enclosures
           supergather as a function of mean amplitude  may prevent picking the correct velocity of
           of the input data in Fig. 9.25A. As the noise ratio  shallow reflections. Fig. 9.26 compares two
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