Optimum Stacking from Optimal Velocities

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.