Highlight volumes: Reducing the burden in interpreting spectral decomposition data

Abstract

In 1999, Partyka et al. introduced spectral decomposition as a method of extracting stratigraphic information from seismic data. Most commonly, this technique is based on applying Fourier analysis to a window of seismic data extracted parallel to an interpreted horizon. Fourier analysis is based on the principle that any periodic signal may be decomposed into an infinite series of sine waves, each having its own frequency, amplitude, and phase. More recently, methods based on the continuous-wavelet transforms and matching pursuit provide volumes of spectral amplitude and phase.