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** Up:** Data-space weighting functions
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Again, the Amoco 2.5-D dataset provides an excellent test dataset for
comparing flavors of weighting function.
Unfortunately the data-space weights proved susceptible to coherent
noise in the form of multiples not predicted by the modeling
operator. While data-space weights did improve the signal in poorly
illuminated areas, they also boosted up the noise level causing an
*increase* in NSD. So further work will be required to make this
approach useful.

Stanford Exploration Project

4/29/2001