Cyclic 1D matching of time-lapse seismic data sets: A case study of the Norne Field

Abstract:

Seismic cross-equalization attenuates unwanted or non-production related artifacts from time-lapse seismic data sets. Two robust post-imaging cross-equalization methods are considered. First, an efficient cyclic 1D correlation method is used to estimate vertical and lateral displacement components between baseline and monitor images. To obtain accurate estimates of production-related changes, all displacement components must be taken into account. Next, a cyclic 1D match-filtering method that estimates the optimal filtering parameters attenuates residual artifacts. Application to the Norne time-lapse seismic data set shows that these methods provide a powerful time-lapse cross-equalization scheme.