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Rigorous Derivation of LSM (& FWI)

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Presentation on theme: "Rigorous Derivation of LSM (& FWI)"— Presentation transcript:

1 Rigorous Derivation of LSM (& FWI)

2 Outline LSM Theory Extrapolation: U(x)=Sg G(x|g)*d(g|s)
m(x)= Zero-Lag Correlation U(x) D(x) m(x)=Dot product G(g\x)G(x|s) & d(g|s) LSM Physical Meaning: Wavepaths LSM Code

3 1. 2.

4 2a. gradient Gradient Frechet Derivative gradient (i) Slowness update

5 Special Cases: Prestack Migration
x Prestack migration of the residual s x g More traces better resolution Dx=Poststack trace at farthest offset from x Dz=Poststack trace at nearest offset from x Migration ellipse: reflection smeared along ellipse. Scatterer anywhere along ellipse

6 Special Cases: Poststack Migration

7 Outline LSM Theory Extrapolation: U(x)=Sg G(x|g)*d(g|s)
m(x)= Zero-Lag Correlation U(x) D(x) m(x)=Dot product G(g\x)G(x|s) & d(g|s) LSM Physical Meaning: Wavepaths LSM Code

8 Extrapolation: U(x)=Sg Sw G(x|g)D(g|s)*
= Sg g(x,t|g) D(g,-t|s) Sg g(x,t|g) d(g,t|s) Sg g(x,t|g) d(g,-t|s) 7 8 9 10 6 Time (s) -7 -8 -9 -10 -6 Time (s) 7 s 8 s backpropagated wave Forward modeled wave 8.5 s 9.2 s -7 s

9 Outline LSM Theory Extrapolation: U(x)=Sg G(x|g)*d(g|s)
m(x)= Zero-Lag Correlation U(x) D(x) m(x)=Dot product G(g\x)G(x|s) & d(g|s) LSM Physical Meaning: Wavepaths LSM Code

10 m(x) = Zero-lag xcorr D(x,t)U(x,t)
Migration: m(x) = Sg Sw G(x|s)[G(x|g)D(g|s)*] = Sg Sw G(x|s)[G(x|g)*D(g|s)]* = Sg g(x,t|s) [g(x,-t|g) d(g,t|s)] m(x) = Zero-lag xcorr D(x,t)U(x,t) Sg g(x,t|g) d(g,t|s) Sg g(x,t|g) d(g,-t|s) 7 8 9 10 6 Time (s) -7 -8 -9 -10 -6 Time (s) 7 s 8 s backpropagated wave Forward modeled wave 8.5 s 9.2 s -7 s What would happen if you applied extrapolation operator above free surface?

11 m(x) = Zero-lag xcorr D(x,t)U(x,t)
Migration: m(x) = Sg Sw G(x|s)[G(x|g)D(g|s)*] = Sg Sw G(x|s)[G(x|g)*D(g|s)]* g(x,t|s)ref [g(x,-t|g)dir d(g,t|s)] m(x) = Zero-lag xcorr D(x,t)U(x,t) Sg g(x,t|g) d(g,t|s) Sg g(x,t|g) d(g,-t|s) 7 8 9 10 6 Time (s) -7 -8 -9 -10 -6 Time (s) 7 s 8 s backpropagated wave Forward modeled wave 8.5 s 9.2 s -7 s What would happen if you applied extrapolation operator above free surface?

12 Backprojection data and zero-lag xcorrel with direct field
Physical Meaning: RTM Backprojection data and zero-lag xcorrel with direct field s x g D R 10 s 9 s 8 s 7 s

13 Outline LSM Theory Extrapolation: U(x)=Sg G(x|g)*d(g|s)
m(x)= Zero-Lag Correlation U(x) D(x) m(x)=Dot product G(g\x)G(x|s) & d(g|s) LSM Physical Meaning: Wavepaths LSM Code

14 Alternative Physical Meaning: GDM
m(x)=Dot product between observed and predicted hyperbolas s g xo x Write a 6-line code for FWI using GDM approach Given the forward modeling subroutine p=Forw(m)

15 Alternative Physical Meaning: GDM
m(x)=Dot product between observed And predicted hyperbolas s g Small shift in trial image point x away from trial image pt xo leads to enormous decrease in correlation xo x Why superresolution?

16 d Change in data w/r change in model

17 Outline LSM Theory Extrapolation: U(x)=Sg G(x|g)*d(g|s)
m(x)= Zero-Lag Correlation U(x) D(x) m(x)=Dot product G(g\x)G(x|s) & d(g|s) LSM Physical Meaning: Wavepaths LSM Code

18 Ellipse Wavepath s g x Only reflection good for migration (smear all along ellipse), so this is why we have smooth background Assume G = Gdir where G(x|s)dir=eiwtsx and DP=reflection Assume G(x|xs)G(x|xg)= Gdir (x|xs)G(x|xg)dir Where is DP smeared? How Thick is it?

19 Ellipse Wavepath s g x Only reflection Ellipse update high wavenumber portion of model & is good for LSM. good for migration (smear all along ellipse), so this is why we have smooth background To create the ellipse simply mute everything but the reflection arrival for a single trace and migrate it in a smooth medium to get the above ellipse.

20 Cigar Wavepath Assume G = Gdir where G(x|s)dir=eiwtsx
Cigars update low wavenumber portion of model & is good for FWI. It is bad for LSM. That is why we kill direct wave For LSM. reflection diving wave s g x bad for migration (smear all along ellipse), so this is why we have smooth background Assume G = Gdir where G(x|s)dir=eiwtsx Assume G(x|xs)G(x|xg)= Gdir (x|xs)G(x|xg)dir Where is DP smeared? How Thick is it?

21 Cigar Wavepath Cigars update low wavenumber portion of model & is good for FWI. It is bad for LSM. That is why we kill direct wave For LSM. reflection diving wave s g x bad for migration (smear all along ellipse), so this is why we have smooth background To create the cigar simply mute everything but the direct arrival for a single trace and migrate it in a smooth medium to get the above cigar.

22 Rabbit Ear Wavepath 2. Exploding reflector r(x,z)d(x,t)=Gx|s)refl Rabbit Ear update low wavenumber portion of model & is good for FWI. It is bad for LSM and is a reason We use smooth velocity model with LSM. s x g x* Not good for migration (smear all along wavepath), so this is why we have smooth background To create the cigar simply mute everything but the reflection arrival for a single trace & do following: 1. Migrate d(x,t) r(x,z) 3. Migrate d(g,-t)G(g,t|x) G(x,t|s)refl 2. Exploding reflector r(x,z)d(x,t)=g(x,t|s)refl and forward model exploding reflector d(x,t) g(x,t|s)refl r(x,z) x x

23 Rabbit Ear Wavepath s g x x* Rabbit Ear update low wavenumber
portion of model & is good for FWI. It is bad for LSM and is a reason We use smooth velocity model with LSM. s x g x* Not good for migration (smear all along wavepath), so this is why we have smooth background

24 Outline LSM Theory Extrapolation: U(x)=Sg G(x|g)*d(g|s)
m(x)= Zero-Lag Correlation U(x) D(x) m(x)=Dot product G(g\x)G(x|s) & d(g|s) LSM Physical Meaning: Wavepaths LSM Code

25 FWI Code -

26 FWI Code T=5 T=4 T=3 T=6 - T=7 T=6 T=5


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