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Abstract

Over the past few years, efficient methods have been developed to estimate densely sampled stacking velocity<br>fields with the aim to improve the S/N ratio, the spatial resolution, and the frequency content of the stack. As a<br>by-product, this densely sampled attribute cube can also be directly interpreted. However, the raw estimates of<br>the automatically derived velocities are often too noisy for immediate use. Fortunately, due to their dense nature<br>we can make use of efficient geostatistical techniques to perform quality control and to remove noise. We will<br>show on a real data example that these techniques can have a clear impact on the NMO stack result.

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/content/papers/10.3997/2214-4609.201405747
2002-05-27
2022-12-01
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201405747
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