Seismic waveform inversion at the regional scale: application to southeastAsia

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Seismic waveform inversion at the regional scale: application to southeastAsia Barbara Romanowicz 1 , Aimin Cao 2 , M.Panning 3 , F. Marone 4 ,Yann Capdeville 5 , Laurent Stehly 1 and Paul Cupillard 1 1 Univ. of California, Berkeley 2 Rice Univ. 3 Princeton U. 4 P. Scherrer Institute,Switz.erland 5 Institut de Physique du Globe, Paris, France

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Seismic waveform inversion at the regional scale: application to southeastAsia. Barbara Romanowicz 1 , Aimin Cao 2 , M.Panning 3 , F. Marone 4 ,Yann Capdeville 5 , Laurent Stehly 1 and Paul Cupillard 1 1 Univ. of California, Berkeley 2 Rice Univ. 3 Princeton U. - PowerPoint PPT Presentation

Transcript of Seismic waveform inversion at the regional scale: application to southeastAsia

Page 1: Seismic waveform inversion at the regional scale: application to southeastAsia

Seismic waveform inversion at the regional scale:

application to southeastAsia

Barbara Romanowicz1, Aimin Cao2, M.Panning3, F. Marone4 ,Yann Capdeville5, Laurent Stehly1

and Paul Cupillard1

1Univ. of California, Berkeley2Rice Univ.

3Princeton U.4P. Scherrer Institute,Switz.erland

5 Institut de Physique du Globe, Paris, France

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I- Background:

In the context of global S velocity, long period

tomography

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• Body wave travel times– well separated phases– Ray theory or, more recently finite

frequency (“Banana-doughnut”) kernels

• Surface waves– Group/phase velocities– Path average approximation (PAVA)

Standard tomographic ingredients:Parametric data

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observed

synthetic

Waveform Tomography

(1)Need framwork for computation of 3D synthetics(2) Framework needs to be appropriate for body waves

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– Non-linear Asymptotic Coupling Theory (NACT); 3 component waveforms

– extension to anisotropic inversion – iterative inversion for elastic and

anelastic structure

Waveform Inversion Methodology:

NACT

PAVASS Sdiff

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Elastic structure- SAW24B16 (SH)

Mégnin and Romanowicz, 2000

Anelastic structureQRLW8

Gung and Romanowicz, 2004

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II. Beyond PAVA and NACT

(in the context of normal mode summation)

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S R

M

S R

M

PAVA approximation (1D in theVertical plane)

NACT (2D in the vertical plane)

Both include multiple forwardscattering

Born approximation:

Single scatteringIntegration over theWhole sphere

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• “N-BORN“– Add PAVA term (multiple forward

scattering) into BORN.

• Application to South East Asia– Comparison of NACT and N-Born

inversion

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Red: NACT regionBlue: NBORN region

Level 6Splines~200km

Spherical splineparametrization

Level 4Splines~800km

Starting NACTradially aniso-tropic model

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We include both fundamental mode and overtone waveforms

By including overtones, we improve depth resolution into the transition zone

after Ritsema et al, 2004

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NACT

NBORN

80km 150km 250 km

Isotropic S velocity

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Friederich, 2003

A

A

B

B

NACT

NBORN

BA

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NACT NBORN

Radial anisotropy:

Vs

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III. Beyond N-Born:Towards numerical methods

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observed

synthetic

Waveform Tomography

(1)Normal mode perturbation theory (generally to 1st order)(2) Numerical methods (e.g. SEM)

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“Hybrid” ApproachUse coupled spectral element method of Capdeville et al. (2002) to accurately forward model wave propagation through a 3D medium.

Use NACT, with the hope that the derivatives are the correct sign. Much faster than cSEM!

1= Normal modes in 1D2 = Spectral element methodCapdeville et al., 2002

NACT

Li and Romanowicz,1995

u(m) ∂u(m)/ ∂m

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Preliminary “Level 4” radially anisotropic upper mantle modelObtained using SEM, starting from 1D model – courtesy of Ved Lekic

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IV-exploratory: summed event inversion

• SEM is accurate but very time consuming: the wavefield computation for a single event can take a couple of hours (depending on the computer and the maximum frequency, and distance) not very practical for tomography

• Can we speed up the computation by computing SEM synthetics for many events simultaneously (e.g. Capdeville et al., 2005, GJI)?

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Summed seismogram inversion

• Start with N-Born model• Restrict study to smaller region• Collect a dataset of waveforms in the

distance range 4 to 40 degrees (~100 events)

• period range 60-400 sec• Data: summed waveforms for all events at

one or a subset of stations• Synthetics: RegSEM for summed events in

the N-Born model

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Page 24: Seismic waveform inversion at the regional scale: application to southeastAsia

Summed seismograms at station XAN

Black: observed trace (filtered between 60 and 250 s)Red: RegSEM synthetic in the 3D N-Born starting model

Time (seconds)

XAN

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NBorn starting model Inversion usingRegSEM –Individual seismograms

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“Summed seismogram” inversion“Individual seismogram” inversion

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Current developments:-larger dataset,-Extended tests--progressively reach shorter periods and higher resolution

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Thank You!

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Page 30: Seismic waveform inversion at the regional scale: application to southeastAsia

d = A m

- Linearized inverse problem:

Seismic tomography

mi+1 = mi + md = u(t)obs- u(t)pred A: FréchetDerivatives

Wave propagationtheory

Step 1: forward

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d = A m

- Linearized inverse problem:

Seismic tomography

mi+1 = mi + md = u(t)obs- u(t)pred A: FréchetDerivatives

Wave propagationtheory

Step 2: inverse

Step 1: forward

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PRI-P05 (Montelli et al.)Surface wave tomography

(Lebedev et al., 2006)

P-wavespeed

S-wavespeed

MIT-P06 (Li et al.)

Courtesy of Rob van der Hilst

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Damping Factor

Resid

ual vari

an

ce

NBORN model predictions: NBORN/NACT

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Marone and Romanowicz,2007

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Radial anisotropy

Gung et al., Nature, 2003

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AB CD

Pacific Superplume

Hawaii

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Kustowski et al.2007

Ritzwoller and Shapiro, 2002

NACT NBORN

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(preliminary)Level 6Sphericalsplines

Versioncargese

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Panning et al., 2008

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Panning et al., 2007

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N-Born inversion

• 152 events• One iteration only• Starting model: 3D “NACT” model• Forward model: N-BORN• Partial derivatives: BORN (Capdeville,2006)

• Elastic and radially aniosotropic structure

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Upper mantle:Q - lower mantle: Vsh

Degree 2 only