Abstract
Seismic cross-equalization attenuates unwanted or nonproduction-related artifacts in time-lapse seismic data sets. Two robust post-imaging cross-equalization methods are considered. First, an efficient cyclic 1D warping method estimates apparent displacement vectors between baseline and monitor images. To obtain accurate production-related time-lapse images, all displacement components must be considered. Next, a cyclic 1D match-filtering method attenuates residual artifacts using optimal filtering parameters. Application to the Norne time-lapse seismic data set shows that these methods together form a powerful time-lapse cross-equalization scheme.
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