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Abstract

Summary

Weighted semblance can be used for improving the performance of the conventional semblance for specific datasets. We propose a novel approach for prestack velocity analysis using weighted semblance. The novelty comes from a different weighting criterion in which the local similarity between each trace and a reference trace is used. On one hand, low similarity corresponds to a noise point or a point indicating incorrect moveout, which should be given a small weight. On the other hand, high similarity corresponds to a point indicating correct moveout, which should be given a high weight. Synthetic and field datasets show that the proposed weighting approach can obtain significantly higher resolution compared with the conventional semblance and AB semblance. The proposed approach can also be effectively used for analyzing AVO anomalies with increased resolution compared with AB semblance.

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/content/papers/10.3997/2214-4609.20141494
2014-06-16
2024-04-25

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20141494
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Velocity Analysis Using Similarity-weighted Semblance
Conference Proceedings 2014, 1 (2014); https://doi.org/10.3997/2214-4609.20141494
/content/papers/10.3997/2214-4609.20141494
/content/papers/10.3997/2214-4609.20141494
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