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Prestack Migration Deconvolution in Common Offset Domain

Prestack Migration Deconvolution in Common Offset Domain. Jianxing Hu University of Utah. Outline. Motivation Methodology Numerical Tests Conclusions. Motivation. Computational efficiency Improve data quality for AVO and seismic attribute analysis. Incorrect Contribution.

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Prestack Migration Deconvolution in Common Offset Domain

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  1. Prestack Migration Deconvolution in Common Offset Domain Jianxing Hu University of Utah

  2. Outline • Motivation • Methodology • Numerical Tests • Conclusions

  3. Motivation • Computational efficiency • Improve data quality for AVO and seismic attribute analysis

  4. Incorrect Contribution Actual reflection point Motivation Seismic Trace Receiver Source Migration Ellipse Interface2 Interface1

  5. Advantages • COG is natural domain for AVO analysis • Traces in COG domain satisfies the lateral-shift invariance approximation in MD

  6. Outline • Motivation • Methodology • Numerical Tests • Conclusions

  7. Methodology • Calculation in COG Domain • Generate Coefficient Matrix of MD System Equation • Regularization of MD System Equation • Equation Solver

  8. Migration Green’s Function in COG Domain Sources Receivers Point Scatterer

  9. An Example of Migration Green’s Function in COG Domain X (km) 0 2 0 Depth (km) 2

  10. Outline • Motivation • Methodology • Numerical Tests • Conclusions

  11. X (km) • 0 • 20 • 0 • Depth (km) • 4 Comparison of Migration and MD Images • Prestack • COG • Migration • Image • 0-450 m • X (km) • 0 • 20 • 0 • MD Image • Depth (km) • 4

  12. 2 2 4 4 Comparison of Migration and MD Images X (km) X (km) Depth (km) Depth (km) • Prestack COG Migration Image • 0 - 450 m • Prestack COG MD Image • 0 - 450 m

  13. X (km) • 0 • 20 • 0 • Depth (km) • 4 Comparison of Migration and MD Images • Prestack • COG • Migration • Image • 1500-1950 m • X (km) • 0 • 20 • 0 • MD Image • Depth (km) • 4

  14. 2 2 Depth (km) 4 4 Comparison of Migration and MD Images X (km) X (km) Depth (km) • Prestack COG Migration Image • 1500 - 1950 m • Prestack COG MD Image • 1500 - 1950 m

  15. X (km) • 0 • 20 • 0 • Depth (km) • 4 Comparison of Migration and MD Images • Prestack • COG • Migration • Image • 2500-2950 m • X (km) • 0 • 20 • 0 • MD Image • Depth (km) • 4

  16. 2 2 4 4 Comparison of Migration and MD Images X (km) X (km) Depth (km) Depth (km) • Prestack COG Migration Image • 2500 - 2950 m • Prestack COG MD Image • 2500 - 2950 m

  17. X (km) • 0 • 20 • 0 • Depth (km) • 4 Comparison of Migration and MD Images • Prestack • COG • Migration • Image • 3500-3950 m • X (km) • 0 • 20 • 0 • MD Image • Depth (km) • 4

  18. 2 2 4 4 Comparison of Migration and MD Images X (km) X (km) Depth (km) Depth (km) • Prestack COG Migration Image • 3500 - 3950 m • Prestack COG MD Image • 3500 - 3950 m

  19. X (km) Regularization of MD System Equations • 0 • 20 • 0 • Prestack • COG • Migration • Image • 0-450 m • Depth (km) • 4 • X (km) • 0 • 20 • 0 • MD Image • Depth (km) • 4

  20. Outline • Motivation • Methodology • Numerical Tests • Conclusions

  21. Improves resolution, attenuates artifacts and corrects amplitude distortions Effective implementation of prestack MD Conclusions Works well on 2-D synthetic prestack data

  22. Test COG Prestack MD in 2-D and 3-D field data Future Works Quantitatively analyze the MD in AVO character improvement

  23. Acknowledgement • Thank 2000 UTAM sponsors for their financial support

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