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Wavelet Extraction using Seismic Interferometry

Wavelet Extraction using Seismic Interferometry. C. Boonyasiriwat and S. Dong November 15, 2007. 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

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Wavelet Extraction using Seismic Interferometry

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  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 -> VSP Case • Statics Estimation for SSP -> 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

  10. 10-Layer Model

  11. Original CSG vs. Virtual CSG

  12. True Source vs. Extracted Source

  13. Model with Mapleton Topography

  14. Original CSG vs. Virtual CSG

  15. True Source vs. Extracted Source

  16. 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.

  17. Conclusion • Seismic interferometry (SSP -> 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 -> VSP case. • Statics estimation using SSP -> SSP transform.

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