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372                          7. SUPPRESSION OF MULTIPLE REFLECTIONS


































           FIG. 7.7  (A) A schematic CDP gather after NMO correction, in which the primary reflections (P) are flattened whereas the
           multiple reflection (M) is still hyperbolic. In areas of near offsets, multiple amplitudes are almost in-phase (blue area), and after
           stacking, their amplitudes strengthen each other. In the far offset areas, however, multiple amplitudes are out-of-phase (red
           area), and after stacking, their amplitudes tend to diminish. (B) A real CDP gather example after NMO correction indicating a
           proper inner mute zone (blue area) to remove the in-phase multiple amplitudes.


           number of traces involved is N, then the ampli-  seismic data involves long offsets. However, it
           tude of the multiples will be decreased by an  removes a significant amount of multiple energy
           order of 1/N (Schoenberger, 1996). Observations  only in the stack sections, and no improvement
           indicate that the amplitudes of the multiples,  by means of multiple removal for prestack data
           however, change with the offset in CDP gathers  is achieved by stacking. Therefore, in practice,
           in such a way that the multiple amplitudes are  the effect of stacking could be regarded as an
           slightly higher than the primary reflection  additional contribution to multiple suppression,
           amplitudes for far offset traces, and lower for  which removes the residual multiple energy
           near offsets. Using this information, one can  remaining after the specific multiple removal
           analyze the amplitudes in a CDP gather to    techniques.
           obtain the most suitable weighting coefficients
           from near to far offsets by means of a least-
           squares approach. Then using these optimum               7.2 PREDICTIVE
           weighting coefficients in stacking, a better sup-      DECONVOLUTION
           pression of multiples can be accomplished. This
           process is termed weighted stack.               Suppression of multiple reflections by predic-
              Stacking is one of the most effective processes  tive deconvolution is based on the periodicity of
           to suppress multiples, providing that the    the multiples in the seismic data. A prediction
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