SURFACE WAVE ELIMINATION BY INTERFEROMETRY AND ADAPTIVE SUBTRACTION

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SURFACE WAVE ELIMINATION BY INTERFEROMETRY AND
ADAPTIVE SUBTRACTION
YANWEI XUE University of Utah
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Outline

• Surface Wave Problem Remedy
• Theory of Interferometric Filtering
• 2D Field Data Results
• 3D Field Data Results
• Conclusions

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Solution Filter the surface waves by Non-Linear
Filter (NLF) and interferometric method
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Outline

• Surface Wave Problem Remedy
• Theory of Interferometric Prediction
• 2D Field Data Results
• 3D Field Data Results
• Conclusions

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Prediction of Surface Waves
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Basic Strategy
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Nonlinear Local Filter
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Outline

• Surface Wave Problem Remedy
• Theory of Interferometric Filtering
• 2D Field Data Results
• 3D Field Data Results
• Conclusions

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Raw Data
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Remove Surface Waves by NLF
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Remove Surface Waves by Int.NLF
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Raw Data
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Remove Surface Waves by F-K
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Remove Surface Waves by Int.NLF
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Surface Waves Predicted by F-K
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Surface Waves Predicted by Int.NLF
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Outline

• Surface Wave Problem Remedy
• Theory of Interferometric Filtering
• 2D Field Data Results
• 3D Field Data Results
• Conclusions

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Line 9 Before and After Removal of Surface Waves
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Line 11 Before and After Removal of Surface Waves
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Line 13 Before and After Removal of Surface Waves
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Line 14 Before and After Removal of Surface Waves
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Outline

• Surface Wave Problem Remedy
• Theory of Interferometric Filtering
• 2D Field Data Results
• 3D Field Data Results
• Conclusions

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Conclusions

• This approach is effective for surface wave
  removal in both 2D and 3D cases.

• Advantages

• Better than FK method for irregular acquisition
  geometry.
• No need for a near surface velocity model.

• Limitations

• Sensitive to the choice of NLF parameters.
• Parameter selection can be expensive.

• Future Work

• Eliminate need for non-linear local filter.
• More tests on 3D data.

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Acknowledgement
I thank the sponsors of 2006 UTAM consortium for
their financial support.
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• THANKS!