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Balancing good data with bad

Choosing the size of $ \bold \epsilon$ chooses the stiffness of the curve that connects regions of good data. Our first test cases gave solutions we interpreted to be too stiff at early times and too flexible at later times, which suggests we weaken $ \epsilon$ at early times and strengthen it later. Because we wanted to keep $ \epsilon$ constant with time, we strengthened $ \bold W$ at early times and weakened it at later times as you see in the following program:

clapp
clapp
Figure 3.
Raw CMP gather (left), semblance scan (middle), and semblance value used for weighting function (right).
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stiff
stiff
Figure 4.
Observed RMS velocity and that predicted by a stiff model with $ \epsilon =4$ . (Clapp)
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flex
flex
Figure 5.
Observed RMS velocity and that predicted by a flexible model with $ \epsilon =.25$ (Clapp)
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next up previous [pdf]

Next: Lateral variations Up: INTERVAL VELOCITY Previous: INTERVAL VELOCITY

2015-05-07