1887

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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/content/papers/10.3997/2214-4609.201801365
2018-06-11
2020-07-12
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