1887

Abstract

Summary

Static correction is an effective common approach to correct seismic data for near-surface velocity variations, but to a large extent a robust automatic static correction algorithm is still lacking. We hereby propose a robust two-phase automatic static correction algorithm. First, low-frequency components of the data are analyzed using an advanced genetic algorithm (GA) to estimate both seed statics and time structure, and then the full-band dataset is corrected via back and forth coordinate descent method, with the seed statics as initial values and the time structure as guidance for expected alignment. We demonstrate this new algorithm on a challenging synthetic dataset and then on a field 3D OBC PS dataset focussing on converted-wave statics.

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/content/papers/10.3997/2214-4609.201412992
2015-06-01
2024-04-20
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References

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