Abstract

Spectral decomposition has prov-en a powerful means to identify strong amplitude anomalies at specific frequencies that are otherwise buried in the broadband response. Partyka et al. (1999) showed that the seismic spectrum response from a short time window depends on the acoustic properties and thickness of the layers spanned by the window. They applied this idea to good quality marine data to delineate thin channels in Tertiary sediments in the Gulf of Mexico. They also applied spectral decomposition to moderate quality land data to delineate incised channels in Paleozoic rocks in the U.S. midcontinent. Since then, spectral decomposition has been applied to reservoir characterization, hydrocarbon detection, and stratigraphic analysis.

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