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Multiple attenuation in the image space

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Presentation on theme: "Multiple attenuation in the image space"— Presentation transcript:

1 Multiple attenuation in the image space
Paul Sava & Antoine Guitton Stanford University SEP

2 Goal Method feasible in 3-D Exploit the data/imaging mismatch
Less expensive Dense data requirement Exploit the data/imaging mismatch Data: two-way propagation Migration: one-way extrapolation

3 Key technology Migration by wavefield extrapolation (WEM)
Angle-domain common-image gathers High resolution Radon Transforms

4 The big picture Data NMO RT & Mute WE migration & ADCIG Image Data
S/N separation WE prediction S/N separation

5 Multiple attenuation by RTs
Moveout analysis NMO Moveout analysis WE migration S/N separation RT + Mute S/N separation RT + Mute

6 3-D depth imaging WE migration Angle-gathers Kirchhoff migration
Multi-arrival Angle-gathers Single-valued Kirchhoff migration Single-arrival Offset-gathers Multi-valued g Biondi et al. (2003) Stolk & Symes (2002) z x y

7 Synthetic example: data vs. image
CMP CIG

8 Which Radon transform? Generic Radon Transform Parabolic q Tangent
g(g) g z Parabolic Tangent Biondi & Symes (2003)

9 Synthetic example: RTs
Parabolic Tangent

10 Synthetic example: S/N separation
primaries & multiples ART ART + mute multiples primaries

11 BP synthetic example

12 BP synthetic example primaries & multiples ART multiples primaries

13 BP synthetic example: stacks
primaries & multiples multiples primaries

14 GOM example

15 GOM example: CIG 1 primaries & multiples ART ART + mute multiples

16 GOM example

17 GOM example: CIG 2 primaries & multiples ART ART + mute multiples

18 GOM example

19 GOM example: zoom 1 primaries & multiples

20 GOM example: zoom 1 primaries

21 GOM example: zoom 1 primaries & multiples

22 GOM example: zoom 1 multiples

23 GOM example

24 GOM example: zoom 2 primaries & multiples

25 GOM example: zoom 2 primaries

26 GOM example: zoom 2 primaries & multiples

27 GOM example: zoom 2 multiples

28 RT comparison Image space RT Data space RT

29 Discussion PROs CONs Cheap & robust 3-D Simple primaries
Migration artifacts CONs Velocity model? Moveout function? Interactive mute Inner angles RT artifacts

30 Summary Data NMO RT & Mute WE migration & ADCIG Image Data RT & Mute
S/N separation WE prediction S/N separation

31 Summary Multiple attenuation after migration Cost/accuracy
WE migration Angle gathers Cost/accuracy Complex propagation Cheap separation RT limitations filtering approach


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