Estimation of seismic structural correlation can provide useful information for structural interpretation, events correlation enhancement, signal-to-noise ratio (SNR) improvement, subsurface modeling, and geophysical inversion. In this letter, we propose a… Click to show full abstract
Estimation of seismic structural correlation can provide useful information for structural interpretation, events correlation enhancement, signal-to-noise ratio (SNR) improvement, subsurface modeling, and geophysical inversion. In this letter, we propose a Shannon entropy-based method to measure seismic local correlation and further enhance the correlation of seismic events. The proposed method is derived from the local plane-wave model and formulated as a Shannon entropy form. The probabilities are calculated along with the coordinate direction of local slope and estimated by solving two least-squares problems in local areas. Application to both synthetic and field data sets demonstrates the superior performance of the Shannon entropy-based method over traditional alternatives.
               
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