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Abstract

Summary

Conventional reverse time migration obtains the final image via simply stacking single-shot imaging result. Many factors such as the inaccurate migration velocity, the mad physics assumption and the imperfection sampling, cause the misalignment, amplitude difference and artifacts in different trace on the shot-index gathers. Mean stacking reduces the imaging quality. In the abstract, we propose a weighted stacking to improve the imaging quality. First, we apply the dynamic time warping method to correct the uneven shot gathers. The dynamic time warping is a nonlinear aligning method that effectively correct the residual misalignment on the shot gathers. Then, we use the local similarity to construct the weighted coefficient on the foundation of the flat shot gathers. The local similarity method can better estimate the correlation between different traces. Finally, we present results on synthetic and real data to illustrate our approach is valid.

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/content/papers/10.3997/2214-4609.201900667
2019-06-03
2024-04-25

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900667
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Imaging Enhancement of Reverse Time Migration Using Dynamic Time Warping and Local Similarity
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201900667
/content/papers/10.3997/2214-4609.201900667
/content/papers/10.3997/2214-4609.201900667
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