1887

Abstract

Summary

With the help of the unified Kirchhoff imaging theory, we present a different way, the so-called isochrones-smearing scheme, to implement the CRS-beam PSDM based on the local kinematic attributes. Compared with the previous CRS-beam PSDM based on Hugens-curve-stacking scheme, the presented method takes the advantages of isochrones-smearing scheme in Kirchhoff method which will lead to less artifacts and more computational efficient. Moreover, if we just perform the first smearing, a high-S/N-ratio, regularized prestack dataset can be obtained. In the presented scheme, for each sample in data space, we just care about its local slope and local curvature. Thus we don’t have to use CRS or multifocusing method. Instead, we can use some more efficient algorithm to get these local kinematic attributes.It will further save the computational cost.

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/content/papers/10.3997/2214-4609.201412620
2015-06-01
2024-04-25
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References

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