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.


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