Wavelet%20Extraction%20using%20Seismic%20Interferometry

1
Wavelet Extraction usingSeismic Interferometry

• C. Boonyasiriwat and S. Dong
• November 15, 2007

2
Outline

• Theory
• Numerical Results
• Synthetic Data Test
• 10-Layer Model
• Model with Mapleton Topography
• Field Data Test
• Mapleton Data
• Conclusion
• Future Work
• Field Data Test on North Sea Data
• VSP -gt VSP Case
• Statics Estimation for SSP -gt SSP Case

3
Theory

• SSP-to-SSP Transform

X
A
B
4
Theory

• SSP-to-SSP Transform

X
A
B
5
Theory

• SSP-to-SSP Transform

X
A
B
6
Theory

• SSP-to-SSP Transform

X
A
B
7
Theory

• SSP-to-SSP Transform

X
A
B
8
Theory

• Virtual CSG

• Real CSG

• Extracted Wavelet

9
Numerical Results

• Synthetic Data Test
• 10-Layer Model
• Model with Mapleton Topography
• Field Data Test
• Mapleton Data

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10-Layer Model
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Original CSG vs. Virtual CSG
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True Source vs. Extracted Source
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Model with Mapleton Topography
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Original CSG vs. Virtual CSG
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True Source vs. Extracted Source
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Mapleton Data

• Surface wave has relatively lower frequency than
  the P-wave signal.
• The extracted wavelet has low peak frequency and
  narrower bandwidth compared to those of the data.
• The strong surface wave affected the extracted
  wavelet.

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Conclusion

• Seismic interferometry (SSP -gt SSP case) can be
  utilized to extract a source signature from a
  data set itself without velocity information.
• Further test will be done on the North Sea data.

18
Future Work

• Wavelet extraction in VSP -gt VSP case.
• Statics estimation using SSP -gt SSP transform.