Comparison of frequency attributes from CWT and MPD spectral decompositions of a complex turbidite channel model

Abstract

Various studies have demonstrated the usefulness of spectral decomposition and its associated frequency attributes in seismic interpretation and hydrocarbon exploration. However, many different techniques for spectral decomposition exist in the petroleum industry, creating a need for comparative studies of these techniques to evaluate their utility. In this work, we compare the results of the application of the CWT and MPD algorithms and associated frequency attributes to a complex turbidite model. Our results indicate that better resolution of stratigraphic features is achieved by the MPD algorithm. These improvements include sharper definition of lateral stratigraphic changes and detection of subtle channel features associated with off-peak frequencies. We also show the effective extraction of stratigraphic features associated with off-peak frequencies achieved by principal component analysis. We believe a quantitative assessment of the relationship between the rock properties volume and frequency attributes will provide useful insight during future work.

Delineation of thick incised canyons using spectral-decomposition analysis, curvature and self-organizing maps in the Exmouth Plateau, Australia

“…Using orthogonal basis function, the CWT algorithm decomposes the input data in frequency or voice components (Puryear et. al., 2008).…”