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Seismic Spectral Decomposition with Smoothed Pseudo Wigner-Ville Distribution
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1 - 5
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.
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