Application of S Transform in the Spectral Decomposition of Seismic Data

Abstract

Spectral Decomposition is a very useful tool for the identification of stratigraphic features, especially in the characterization of thin reservoir. However, Spectral Decomposition is based on the windowed Discrete Fourier Transform, which provides a less optimized timefrequency analysis. The S Transform differs from the windowed Fourier Transform in the adoption of a window model whose width is adjusted to the frequency that is analyzed. This confers the S Transform properties similar to those of wavelets Transforms in terms of time-frequency resolution. This paper presents results of the application of the S Transform to the spectral decomposition of synthetic and real seismic data.