Multi-level elastic full waveform inversion in isotropic media via … · 2014. 11. 25. ·...
Transcript of Multi-level elastic full waveform inversion in isotropic media via … · 2014. 11. 25. ·...
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Multi-level elastic full waveform inversion inisotropic media via quantitative Lipschitz stability
estimates
Florian Faucher1 Maarten V. de Hoop1 Henri Calandra2
Helene Barucq3
Purdue University - Total - Inria Pau
November 17, 2014
1Department of Mathematics, Purdue University 150 N. University Street,West Lafayette IN 47907, USA.
2Total Research Exploration & Production, Houston, TX 77002, USA.3Inria Magique 3d, Universite de Pau, France.
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Overview
1 Introduction to FWISeismic inverse problemIterative minimization
2 Elastic Full Waveform InversionTime-harmonic elastic wave equationConvergence and stability resultsStability estimates and multi-level approach
3 Numerical Results2D Marmousi2D Pluto3D Model
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Plan
1 Introduction to FWISeismic inverse problemIterative minimization
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Seismic acquisition
We want to reconstruct the unknown models m with data F (m†)that are boundary observations
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Seismic acquisition
We want to reconstruct the unknown models m with data F (m†)that are boundary observations
Florian Faucher - November 2014 Multi-level elastic FWI
![Page 6: Multi-level elastic full waveform inversion in isotropic media via … · 2014. 11. 25. · Introduction to FWI Elastic Full Waveform Inversion Numerical Results Multi-level approach](https://reader035.fdocuments.net/reader035/viewer/2022062415/60472321daac6b23e5374f18/html5/thumbnails/6.jpg)
Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Seismic acquisition
We want to reconstruct the unknown models m with data F (m†)that are boundary observations
Florian Faucher - November 2014 Multi-level elastic FWI
![Page 7: Multi-level elastic full waveform inversion in isotropic media via … · 2014. 11. 25. · Introduction to FWI Elastic Full Waveform Inversion Numerical Results Multi-level approach](https://reader035.fdocuments.net/reader035/viewer/2022062415/60472321daac6b23e5374f18/html5/thumbnails/7.jpg)
Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Seismic acquisition
We want to reconstruct the unknown models m with data F (m†)that are boundary observations
Florian Faucher - November 2014 Multi-level elastic FWI
![Page 8: Multi-level elastic full waveform inversion in isotropic media via … · 2014. 11. 25. · Introduction to FWI Elastic Full Waveform Inversion Numerical Results Multi-level approach](https://reader035.fdocuments.net/reader035/viewer/2022062415/60472321daac6b23e5374f18/html5/thumbnails/8.jpg)
Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Seismic acquisition
We want to reconstruct the unknown models m with data F (m†)that are boundary observations
Florian Faucher - November 2014 Multi-level elastic FWI
![Page 9: Multi-level elastic full waveform inversion in isotropic media via … · 2014. 11. 25. · Introduction to FWI Elastic Full Waveform Inversion Numerical Results Multi-level approach](https://reader035.fdocuments.net/reader035/viewer/2022062415/60472321daac6b23e5374f18/html5/thumbnails/9.jpg)
Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Seismic acquisition
We want to reconstruct the unknown models m with data F (m†)that are boundary observations
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Seismic acquisition
We want to reconstruct the unknown models m with data F (m†)that are boundary observations
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Seismic acquisition
We want to reconstruct the unknown models m with data F (m†)that are boundary observations
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Full Waveform Inversion
Implement a flexible toolbox for modelling and inversion in Totalarchitecture (DIP)
I (possibly complex) frequency-domainI large computation (parallelism)I acoustic and elastic problemsI minimization techniques
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Full Waveform Inversion
observation wave simulation
starting model
(−ω
2
c2 −∆
)u = g
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Full Waveform Inversion
observation wave simulation
starting model
I structured gridI acoustic; elastic; TTI; VTII Hsolver
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Full Waveform Inversion
observation wave simulation
starting model
residualsObjective function
I L2 norm; log normI phase-amplitude
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Full Waveform Inversion
observation wave simulation
starting model
residuals
gradientFirst-order adjoint method
I acoustic; elasticI parametrization
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Full Waveform Inversion
observation wave simulation
starting model
residuals
gradient
model updateGradient descent
I NLCG; L-BFGSI Linesearch
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Full Waveform Inversion
observation wave simulation
starting model
residuals
gradient
model update
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Plan
2 Elastic Full Waveform InversionTime-harmonic elastic wave equationConvergence and stability resultsStability estimates and multi-level approach
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Isotropic Elastic time-harmonic wave propagation
−ρω2u −∇ (λ∇ · u)−∇ ·(µ[∇u + (∇u)T
])= g ,
Multi-parameter inversion: (λ, µ, ρ) to reconstruct
λ(x) and µ(x) are the Lame parameters; ρ(x) the density
ω is the (possibly complex) frequency
g(x) is the source (near surface)
u(x) represent the wavefields
P and S-wavespeed: Cp =
√λ+ 2µρ
; Cs =
õ
ρ
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Convergence and stability results
For piecewise constant m, we have the Lipschitz-type stability[Beretta, de Hoop, Francini & Zhai, 2014]
‖m −m†‖ ≤ C ‖F (m)− F (m†)‖
m: models Lame parameters,densitym†: ‘true’ modelsF (m) ∼ forward operator restricted at the receiversC: stability constant
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Convergence and stability results
For piecewise constant m, we have the Lipschitz-type stability[Beretta, de Hoop, Francini & Zhai, 2014]
‖m −m†‖ ≤ C ‖F (m)− F (m†)‖
Lame parameters and density must be decoupled
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Convergence and stability results
For piecewise constant m, we have the Lipschitz-type stability[Beretta, de Hoop, Francini & Zhai, 2014]
‖m −m†‖ ≤ C ‖F (m)− F (m†)‖
Lame parameters and density must be decoupledstability linked with the lower bound of the Frechet derivative
C ∼ 2/l0
l0 ≤ minm;h‖DmF (m)[h]‖
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Computational stability estimates
Use Gauss-Newton Hessian to estimate the stability
HGN(., .) = (R∂mu)∗ R∂mu(., .) = DmF (.)∗DmF (.)
Stability estimate: 2/√
smallest sv(HGN)
Computation: 2nd order adjoint state; GN Hessian vector-product[Fichtner and Trampert,2010] [Metivier et al,2013]
Stability estimates for different partitioning and parametrization
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Computational stability estimates
Use Gauss-Newton Hessian to estimate the stability
HGN(., .) = (R∂mu)∗ R∂mu(., .) = DmF (.)∗DmF (.)
Stability estimate: 2/√
smallest sv(HGN)
Computation: 2nd order adjoint state; GN Hessian vector-product[Fichtner and Trampert,2010] [Metivier et al,2013]
Stability estimates for different partitioning and parametrization
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Gauss-Newton Hessian hierarchical compression
full scale (1361x351 domains) Haar compression level 3 (170x43) 4(85x21) and 5 (42x10)
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Gauss-Newton Hessian hierarchical compression
starting P-wavespeed (left) and S-wavespeed (right), Haar level 5 (42x10)
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Gauss-Newton Hessian hierarchical compression
starting P-wavespeed (left) and S-wavespeed (right), Haar level 5 (42x10)
2Hz GN Hessian projection for parameter λFlorian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Parametrization
Stability estimates for different parametrization (1/., log(.) and .)1361x351 domains
2Hz λ µparametrization 1/. log(.) . 1/. log(.) .
Stability estimatesHaar level 5 (42x10) 0.3 330 33300 0.06 10 1000
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Parametrization
Stability estimates for different parametrization (1/., log(.) and .)1361x351 domains
2Hz λ µparametrization 1/. log(.) . 1/. log(.) .
Stability estimatesHaar level 5 (42x10) 0.3 330 33300 0.06 10 1000
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Multi-level approach
Smallest singular value for different partitioning and frequency.1361x351 domains
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Multi-level approach
Smallest singular value for different partitioning and frequency.1361x351 domains
2Hz 1/λ 1/µHaar level 5 (42x10) 0.3 0.06Haar level 4 (85x21) 330 10
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Multi-level approach
Smallest singular value for different partitioning and frequency.1361x351 domains
2Hz 1/λ 1/µHaar level 5 (42x10) 0.3 0.06Haar level 4 (85x21) 330 10
5Hz 1/λ 1/µHaar level 5 (42x10) 0.04 0.02Haar level 4 (85x21) 0.2 0.04
Haar level 3 (170x43) 330 10
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Multi-level approach
Smallest singular value for different partitioning and frequency.1361x351 domains
5Hz 1/λ 1/µHaar level 5 (42x10) 0.04 0.02Haar level 4 (85x21) 0.2 0.04
Haar level 3 (170x43) 330 10
8Hz 1/λ 1/µHaar level 5 (42x10) 0.04 0.01Haar level 4 (85x21) 0.08 0.03
Haar level 3 (170x43) 6 0.09
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Multi-level, multi-frequency elastic inversion
frequency ωk
domain parti-tionning Nhj
iterativeminimization
I forward modellingI adjoint methodsI model update
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Multi-level, multi-frequency elastic inversion
frequency ωk
domain parti-tionning Nhj
iterativeminimization
I forward modellingI adjoint methodsI model update
Stability estimates(with GN Hessian)
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Multi-level, multi-frequency elastic inversion
frequency ωk
domain parti-tionning Nhj
iterativeminimization
I forward modellingI adjoint methodsI model update
Stability estimates(with GN Hessian)
s(ωk ,Nhj ) s(ωk ,Nhj−1 )s(ωk+1,Nhj ) s(ωk+1,Nhj−1 )
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Multi-level, multi-frequency elastic inversion
frequency ωk
domain parti-tionning Nhj
iterativeminimization
I forward modellingI adjoint methodsI model update
Stability estimates(with GN Hessian)
s(ωk ,Nhj ) s(ωk ,Nhj−1 )s(ωk+1,Nhj ) s(ωk+1,Nhj−1 )
stability
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Plan
3 Numerical Results2D Marmousi2D Pluto3D Model
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Marmousi models
13.6km x 3.5km fully elastic
P-wavespeed, S-wavespeed and Density true models
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Marmousi multi-level reconstruction
13.6km x 3.5km grid size 10m, frequency list from 1 to 10Hz,unknown density
P-wavespeed and S-wavespeed, true and starting models
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Marmousi multi-level reconstruction
13.6km x 3.5km grid size 10m, frequency list from 1 to 10Hz,unknown density
P-wavespeed and S-wavespeed, true and 1Hz reconstruction (Haar level 5- 42x10)
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Marmousi multi-level reconstruction
13.6km x 3.5km grid size 10m, frequency list from 1 to 10Hz,unknown density
P-wavespeed and S-wavespeed, true and 2Hz reconstruction (Haar level 4- 85x21)
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Marmousi multi-level reconstruction
13.6km x 3.5km grid size 10m, frequency list from 1 to 10Hz,unknown density
P-wavespeed and S-wavespeed, true and 4Hz reconstruction (Haar level 3- 170x43)
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Marmousi multi-level reconstruction
13.6km x 3.5km grid size 10m, frequency list from 1 to 10Hz,unknown density
P-wavespeed and S-wavespeed, true and 6Hz reconstruction (Haar level 2- 340x87)
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Marmousi multi-level reconstruction
13.6km x 3.5km grid size 10m, frequency list from 1 to 10Hz,unknown density
P-wavespeed and S-wavespeed, true and 8Hz reconstruction (Haar level 1- 680x175)
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Marmousi multi-level reconstruction
13.6km x 3.5km grid size 10m, frequency list from 1 to 10Hz,unknown density
P-wavespeed and S-wavespeed, true and 10Hz reconstruction - 1361x351
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Pluto models
31.16km by 7.08km grid size 20m
True Pluto models for P-wavespeed (upper left) S-wavespeed (upperright) and Density (bottom)
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Pluto multi-level reconstruction
P-wavespeed and S-wavespeed, true and starting models
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Pluto multi-level reconstruction
complex frequency distant from spectrum
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Pluto multi-level reconstruction
complex frequency distant from spectrum
stability estimates1/λ 1/µ
0.1HzHaar level 5 (42x10) 20 0.2
(0.1Hz + i)Haar level 5 (42x10) 1 0.1
improve radius of convergence needed for the starting iterations
small frequency not available from field data
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Pluto multi-level reconstruction
Complex frequency set, {(0.1Hz + i); (0.5Hz + i); (1Hz + i)}. Un-known density
P-wavespeed and S-wavespeed, Complex frequency reconstruction - Haarlevel 5, 49x12 domains
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Pluto multi-level reconstruction
Frequency set {4, 5, 6, 7, 8} Hz. Unknown density
P-wavespeed and S-wavespeed, 8Hz reconstruction - 1559x355 domains
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Pluto density multi-level reconstruction
31.16km by 7.08km grid size 20m. We assume the knowledge ofthe Lame parameters λ and µ frequency from 4 to 8Hz.
True and starting density models
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Pluto density multi-level reconstruction
31.16km by 7.08km grid size 20m. We assume the knowledge ofthe Lame parameters λ and µ frequency from 4 to 8Hz.
True and starting density models (top). 8Hz multi-level reconstruction(bottom)
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Pluto density multi-level reconstruction
31.16km by 7.08km grid size 20m. We assume the knowledge ofthe Lame parameters λ and µ frequency from 4 to 8Hz.
scaled residuals comparison between the Lame iterations (red) anddensity iterations (blue)
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
3D models
1.8km x 1.4km x 1.2km
P-wavespeed, S-wavespeed and Density models: 3D and vertical sections
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
3D multi-level reconstruction
1.8km x 1.4km x 1.2km frequency from 2 to 14Hz
P-wavespeed and S-wavespeed true and starting Vertical sections
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
3D multi-level reconstruction
1.8km x 1.4km x 1.2km frequency from 2 to 14Hz
P-wavespeed and S-wavespeed true and 14Hz reconstruction Verticalsections
Florian Faucher - November 2014 Multi-level elastic FWI
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Introduction to FWI Elastic Full Waveform Inversion Numerical Results
Conclusion
Complex frequency domain toolboxHierarchical multi-level approachQuantitative estimate of the stability constantIsotropic elastic reconstruction (Lame parameters and density)
Future WorkField dataStochastic approach for low frequencyUnstructured mesh adaptation and deformation
Thank you
Florian Faucher - November 2014 Multi-level elastic FWI
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Florian Faucher - November 2014 Multi-level elastic FWI
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Marmousi multi-level reconstruction
When we add up to 20% noise in the data
P-wavespeed and S-wavespeed, true and 10Hz reconstruction - 1361x351
Florian Faucher - November 2014 Multi-level elastic FWI
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Ajoint state
First order Adjoint state
Dmε {m} δm =
∫− ω2u.urδρ
+ (∇.u)(∇.ur )δλ
+ (∇ur ) : (∇u + (∇u)T )δµdX
Florian Faucher - November 2014 Multi-level elastic FWI
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2nd order ajoint state: Hessian formulation
using Hessian vector product [Fichtner and Trampert,2010][Metivier et al,2013] [Shi et al, 2014] (higher order). Using vectorproduct H.v in 2 more linear system solves
Full Hessian
a) S(m)†α = −M∑
j=1(∂mj S(m).vj)u
b) S(m)†β = −R†Rα−M∑
j=1(∂mj S(m)vj)
†ur
H(m)v = Re { < (∂mS)(m)(.)u(m), β(m) > +
< (∂mS)(m)(.)α(m), ur (m) > +
< ∂m {(∂mS)(m)vu(m)} , ur (m) > }Florian Faucher - November 2014 Multi-level elastic FWI
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2nd order ajoint state: Hessian formulation
using Hessian vector product [Fichtner and Trampert,2010][Metivier et al,2013] [Shi et al, 2014] (higher order). Using vectorproduct H.v in 2 more linear system solves
Gauss Newton Hessian
a) S(m)†α = −M∑
j=1(∂mj S(m).vj)u
b) S(m)†β = −R†Rα
H(m)v = Re {< (∂mS)(m)(.)u(m), β(m) >}
Florian Faucher - November 2014 Multi-level elastic FWI
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stability estimate general behaviour - Acoustic
14eK1N1/5
≤ C ≤ 1ω2 e(K(1+ω2B2)N4/7)
Florian Faucher - November 2014 Multi-level elastic FWI
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stability estimate general behaviour - Acoustic
14eK1N1/5
≤ C ≤ 1ω2 e(K(1+ω2B2)N4/7)
evolution of the smallest singular value depending on the number ofdomain (blue) and best approximation of the bounds (red) - logarithmicscaleFlorian Faucher - November 2014 Multi-level elastic FWI
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stability estimate general behaviour - Acoustic
14eK1N1/5
≤ C ≤ 1ω2 e(K(1+ω2B2)N4/7)
evolution of the smallest singular value depending on the frequency(blue) and best approximation for frequency dependency (red) -logarithmic scaleFlorian Faucher - November 2014 Multi-level elastic FWI
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Marmousi elastic - complex frequency
P-wavespeed and S-wavespeed, true and complex frequencyreconstruction (Haar level 5 - 43x11).It can be complicated to retrieve low frequency from field data. Complexfrequency instead
Florian Faucher - November 2014 Multi-level elastic FWI
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(local) optimization, seismic inverse problem
some references on Full Waveform Inversion (FWI)
Bamberger, Chavent & Lailly (1977, 1979); Chavent (1983)Tarantola & Valette (1982)Pratt, Shin & Hicks (1998); Pratt (1999); Sirgue & Pratt (2004)Operto, Virieux, Dessa & Pascal (2006); Virieux & Operto (2009)Metivier, Brossier, Virieux & Operto (2013)
Florian Faucher - November 2014 Multi-level elastic FWI