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Warping for Trim Statics Dongliang Zhang, Xin Wang, Yunsong Huang, Gerard Schuster KAUST.

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Presentation on theme: "Warping for Trim Statics Dongliang Zhang, Xin Wang, Yunsong Huang, Gerard Schuster KAUST."— Presentation transcript:

1 Warping for Trim Statics Dongliang Zhang, Xin Wang, Yunsong Huang, Gerard Schuster KAUST

2 OutlineConclusions Motivation Flatten the common image gathers Numerical Example Test on Marmousi model and GOM data Theory Use warping to flatten the CSGs or warping between prestack image

3 OutlineConclusions Motivation Flatten the common image gathers Numerical Example Test on Marmousi model and GOM data Theory Use warping to flatten the CSGs or warping between prestack images

4 Motivation Image is distorted Velocity Model with Errors

5 Motivation Common Image Gather Flattened CIG Problem: After stacking the unflattened CIGs, the image is blurred Solution: Before stacking, use warping to flatten the CIGs

6 OutlineConclusions Motivation Flatten the common image gathers Numerical Example Test on Marmousi model and GOM data Theory Use warping to flatten the CSGs or warping between prestack image

7 Trace 2 Dynamic Warping Trace 1 0 z (km) 3.5 Space Shifts -50 (m) 50

8 Pilot: Warping of CIGs CIGFlattened CIG Vertical Space Shifts 3.5 Z (km) Shifts (m) 80 Reference trace: summation of all traces of CIG; summation of part traces of CIG; one trace of CIG pilot

9 Auto-pilot: Warping of Prestack Images Vertical Space Shifts Prestack Image #15 Prestack Image # Shifts (m) 75

10 Auto-pilot: Warping of Prestack Images

11 OutlineConclusions Motivation Flatten the common image gathers Numerical Example Test on Marmousi model and GOM data Theory Use warping to flatten the CSGs or warping between prestack image

12 1.5 km/s 5.5 True Velocity Model CIG Warping : Marmousi Model 3.5 Z (km) km/s 5.5 Migration Velocity with Errors 0 X (km) Z (km) 0

13 Warping of CIG #200 Warping of CIG #200 CIGFlattened CIG Vertical Space Shifts 3.5 Z (km) Shifts (m) 80

14 Warping of CIG #450 Warping of CIG #450 CIGFlattened CIG Vertical Space Shifts 3.5 Z (km) Shifts (m) 100

15 Migration Image before warping 3.5 Z (km) 0 0 X (km) 9 CIG Warping: Comparison of Images Migration Image after warping 3.5 Z (km) 0

16 Zoomed Views Image before Warping Image after Warping Image before Warping Image after Warping

17 GOM Data CIGs before Warping CIGs after Warping 3.5 Z (km) 0

18 GOM Data Migration Image before Warping Migration Image after Warping 3.5 Z (km) 0 0 X (km) Z (km) 0

19 Zoomed Views Image before Warping Image after Warping Image before Warping Image after Warping

20 Warping of Prestack Images: GoM Data Vertical Space Shifts Prestack Image #15 Prestack Image # Shifts (m) 75

21 Comparison of Images Migration Image before Warping Migration Image after Warping 3.5 Z (km) 0 0 X (km) Z (km) 0

22 Zoomed Views Image before Warping Image after Warping Image before Warping Image after Warping

23 OutlineConclusions Motivation Flatten the common image gathers Numerical Example Test on Marmousi model and GOM data Theory Use warping to flatten the CSGs or warping between prestack images

24 Conclusions Signal-to-noise ratio is enhanced in the migration image Some structures are more clearly delineated Warping of prestack images changes image more than warping of CIGs Position of the structures in the migration image may be still wrong Warping for MVA

25 Thank you!


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