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Abstract

Summary

For reverse time migration, the deconvolution imaging condition offers the strongest possibility for source designature and compensation of illumination, but cross-correlation-based imaging conditions are currently the most widely used due to their high stability. We propose here a general theoretical frame and practical solution for stabilizing deconvolution-based reverse time migration. Our approach involves an optimization scheme regularized by a set of constraints. The proposed constraints insure both high resolution and removal of low frequency migration noise arising in the case of diving or reflected waves in the background model. We show the improvement obtained with our approach on synthetic and real datasets.

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/content/papers/10.3997/2214-4609.201601531
2016-05-30
2024-04-24

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201601531
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Generalizing and Stabilizing Reverse Time Migration Deconvolution Imaging
Conference Proceedings 2016, 1 (2016); https://doi.org/10.3997/2214-4609.201601531
/content/papers/10.3997/2214-4609.201601531
/content/papers/10.3997/2214-4609.201601531
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