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Examples

Figure [*] shows a shot gather with some obvious bad traces. The data here and in the following plots have been scaled by time squared to show the signal better. Figures [*] and [*] shows the separation of the shot gather shown in Figure [*] into the rejected and the accepted samples with a w of five. In the electronic version of this thesis, pushing the button under Figure [*] shows a movie of the data in this figure with a range of values of w. For small values of w, for example 1 to 3, the result of the process changed quickly from one value of w to another. As w increased, the changes in the results for different values of w decreased. An example of a small portion of Figure [*] processed with values of w varying from 1 to 9 is shown in Figure [*].

The result of this process appears to do a good job of removing bad traces. Figure [*] shows very little coherent signal in the rejected samples. The little coherent noise left in Figure [*] appears on the near traces, which have anomalous amplitudes.

 
original
original
Figure 2
The original data showing some bad traces and other noise.


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mpatchn
mpatchn
Figure 3
The rejected samples from the data in the previous figure. The value of w was 5 for this result. Push the button to see a movie showing the rejected and accepted samples corresponding to various values of w.


[*] view burn build edit restore

 
mpatchs
mpatchs
Figure 4
The accepted samples from the data in the previous figure. The value of w was 5 for this result.


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wplot
wplot
Figure 5
A subsection of the seismic data processed with values of w varying from 1 to 9.


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Figure [*] shows another shot gather with some bad traces and some coherent noise. Once again, the data here and in the following plots have been scaled by time squared. Figures [*] and  [*] show that much of the coherent noise between 2 and 3 seconds is removed. This effect is seen here because the filters used to make the trace-to-trace predictions are short, in this case five samples, and cannot predict much of the steeply dipping energy. While eliminating this particular event is desirable, care must be taken to make the filters long enough to predict all events that are to be preserved. Events such as the diffractions from complex events or overturned rays might not be predicted by very short filters, although generally these events will not be strong enough to be thrown out. In many cases, coherent noise is not as localized as it is in this example and so will not be eliminated.

One advantage of this technique over similar methods is that, since predictions are done from single neighboring traces, static shifts do not affect the predictions. Both examples shown here have traces with static shifts that are passed without problems.

 
original2
original2
Figure 6
The original data showing some bad traces and other noise.


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mpatch2n
mpatch2n
Figure 7
The rejected samples from the data in the previous figure. The value of w was 5 for this result. In the electronic version of this document, push the button to see a movie showing the rejected and accepted samples corresponding to various values of w.


[*] view burn build edit restore

 
mpatch2s
mpatch2s
Figure 8
The accepted samples from the data in the previous figure. The value of w was 5 for this result.


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next up previous print clean
Next: Extensions Up: Data editing Previous: Editing in two-dimensional data
Stanford Exploration Project
2/9/2001