Seismic Spectral Decomposition with Smoothed Pseudo Wigner-Ville Distribution

Abstract

Summary Spectral decomposition of seismic data provides valuable attributes for reservoir characterisation. Algorithms for spectral decomposition need to address the challenge of achieving high time-frequency resolution. Here, we introduce the smoothed pseudo Wigner-Ville distribution (SPWD) for the spectral decomposition of seismic data. The cross terms inherent in the Wigner-Ville distribution are efficiently overcome in SPWD. The performance of SPWD is demonstrated on synthetic data and 3D migrated seismic volumes from the Stratton field.