1 / 22

DMO Deconvolution

DMO Deconvolution. Progress Report. M. Zhou & Jianxing Hu. Geology and Geophysics Department University of Utah. Outline. Objective Methodology Numerical Results Point Scatterer Model SEG/EAGE overthrust Model Conclusions. Objective. Eliminate DMO artifacts.

burke
Download Presentation

DMO Deconvolution

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. DMO Deconvolution Progress Report M. Zhou & Jianxing Hu Geology and Geophysics Department University of Utah

  2. Outline • Objective • Methodology • Numerical Results • Point Scatterer Model • SEG/EAGE overthrust Model • Conclusions

  3. Objective • Eliminate DMO artifacts

  4. Outline • Objective • Methodology • Numerical Results • Conclusions

  5. Prestack migration ellipse DMO Process t DMO Smile (x,0) (x-h,0) (x+h,0) DMO ellipse t or z

  6. DMO artifacts Point in DMO (ZO) section DMO Artifacts In COG DMO impusle response DMO ellipse

  7. DMO Impulse Response Function DMO Data = True ZO * IRF True ZO = DMO Data * (IRF)-1 convolution *

  8. DMO impusle response (IRF) -1 = * DMO section Point in True ZO section DMO Deconvolution

  9. DMO Decon Event after DMO Deconvolution Event in DMO (ZO) section DMO Deconvolution DMO Section Deconvolved DMO True ZO section

  10. Outline • Objective • Methodology • Numerical Results • Point Scatterer Mode • SEG/EAGE Overthrust Model • Conclusions

  11. 2500 1500 500 0 2.5 5.0 7.5 10.0 Point Scatterer Model X(m) Depth (Km) Constant velocity of 5 Km/s

  12. X(m) X(m) X(m) 500 500 500 1500 1500 1500 2500 2500 2500 0 0.5 1.0 Time (sec) 1.5 2.0 Synthetic ZO Data Stacked DMO Data Stacked & Deconvolved Data Point Scatterer Data

  13. X(m) X(m) 500 500 1500 1500 2500 2500 KM Migration Image of Stacked DMO Data KM Migration Image of Stacked & Deconvolved Data Point Scatterer Data X(m) 500 1500 2500 0 0.5 1.0 Time (sec) 1.5 2.0 Point Scatterer Model

  14. Outline • Objective • Methodology • Numerical Results • Point Scatterer Mode • SEG/EAGE Overthrust Model • Conclusions

  15. SEG/EAGE Overthrust Data X (Km) 5.0 10.0 15.0 0.5 1.0 1.5 Time (sec) 2.0 2.5 Synthetic Zero-offset Data

  16. SEG/EAGE Overthrust Data X (Km) 5.0 10.0 15.0 0.5 1.0 1.5 Time (sec) 2.0 2.5 Stacked DMO Data

  17. X (Km) 5.0 10.0 15.0 0.5 1.0 1.5 Time (sec) 2.0 2.5 Stacked & Deconvolved DMO Data SEG/EAGE Overthrust Data

  18. SEG/EAGE Overthrust Data X (Km) 5.0 10.0 15.0 0.5 1.0 1.5 Time (sec) 2.0 2.5 Synthetic Zero-offset Data

  19. Outline • Objective • Methodology • Numerical Results • Conclusions

  20. Conclusions DMO deconvolution can: • Decrease DMO artifacts; • Improve the quality of DMO image; • Improve the resolution of poststack image.

  21. Future Work • Test on 2-D field data Decrease computational cost Apply to 3-D data

  22. Acknowledgements • I am grateful for the financial • support from the members of • the 2000 UTAM consortium.

More Related