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Seismic tomography: Art or science

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This looks more complicated than it is; and that's my point. This looks simpler than it is; ... Forward modeling of the wave field, Part III: Spectral-element ... – PowerPoint PPT presentation

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Title: Seismic tomography: Art or science


1
Seismic tomography Art or science?
  • Frederik J Simons
  • Princeton University

2
Whats inside the Earth?
www.usgs.gov
www.glencoe.com
Only seismic waves have actually been there,
done that
Dalton, Nature 2003
3
This looks more complicated than it is and
thats my point.
4
This looks simpler than it is and thats my
point.
5
X-Ray attenuation tomography
Projections from all angles X-ray intensity
Reconstructed image X-ray attenuation constants
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Seismic wavespeed tomography
Projections from all angles Waveforms and
arrival times
Reconstructed image Wavespeed variations
8
Forward modeling of the wave field, Part IRay
tracing, most 1-D
Before
After
Buland, BSSA, 1983
Bullen Bolt, 1985
Kennett, GJI, 1995
9
Forward modeling of the wave field, Part
IINormal-mode summation, 1-D
After
Before
Dahlen Tromp, 1998
Simons, Lithos, 1999
10
Forward modeling of the wave field, Part
IIISpectral-element methods, 3-D
Before
After
Komatitsch, GJI, 2002
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Non-continuous source coverage
The CMT catalog of large events
13
Source location (in)extricably linked
Source relocation is big business.
Schaff, JGR, 2002
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15
Fermats Principle at Work for you
Zhao, PEPI, 2004
16
The reference Earth Radial models
17
and at least some of it is true
Karki et al., Rev. Geoph., 2001
Jackson, 1998
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Menke, 1989
20
Picking the right continent
Receiver coverage
A dense path coverage minimizes the amount of a
priori information needed
Simons, GJI 2002
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Regularization the Mathematics
23
Regularization the Physics
Such fat rays sample more of the Earth and thus
we need fewer of them to have a well-constrained
tomographic problem.
Dahlen, GJI, 2002
24
Regularization the Art
Too much? Too smooth?
Too little? Too rough?
Simons, Lithos, 1999
25
How to interpret seismic models
Pillet, PEPI, 1999
26
Demand to see the ray paths
Pillet, PEPI, 1999
27
Nature isnt always kind
Wolfe, Nature, 1997
Shen, Nature, 1998
28
Seismic anisotropy Wave speeds depend on
propagation direction and polarization
No surprise elasticity maps stress and strain,
and both depend on three directions
29
Polarization anisotropy
  • The particles of Love and Raleigh surface waves
    move in orthogonal directions
  • SH and SV body waves sometimes exhibit clear
    splitting

Azimuthal anisotropy
  • Its usually very hard to separate whether the
    time difference arises from an anisotropic
    direction or an isotropic wave speed difference
    (aka heterogeneity)

30
Why is this so hard?
Its very hard to tell whether a phase comes in
early because it went through a fast patch or
because it came in a fast direction
heterogeneity and anisotropy trade off.
31
Questions to ask of the tomographer
  • How is the forward model computed?
  • What is the ray coverage?
  • What (sort of) damping did you use?
  • What does velocity estimation trade off with?
  • What is the grid size / the correlation length?
  • How are different data sets weighted?
  • How far is the final from the starting model?
  • Does the starting model have discontinuities?
  • How is the surface/depth parameterization
  • Is your sensitivity 1-D, 2-D,or 3-D?

32
Journey to Middle Earth, Part I The continental
lithosphere
Simons, GRL, 2002
Gung, Nature, 2003
33
Journey to Middle Earth, Part II Subduction
zones
Replumaz, EPSL, 2004
34
Journey to Middle Earth, Part III Deep mantle
plumes
Montelli, Science, 2004
35
What does it all mean? Part ITemperature
anomalies
110 km
Goes, JGR, 2002
36
What does it all mean? Part IICompositional
anomalies
150 km
Perry, GJI, 2003
37
What does it all mean? Part IIIDeformation in
the mantle
Fossil
Contemporaneous
Simons, EPSL, 2003
38
Conclusions
  • Ultimately, seismology can only tell us where, or
    in which direction, wave propagation is faster or
    slower than a reference model
  • The non-seismologist has to know the basics of
    inverse problem modeling, understand the
    sometimes poor constraints, and be critical
  • Improvements are being made better data, better
    forward models, better inversions
  • As much as with the a posteriori interpretation,
    the community needs to help defining a priori
    acceptable starting models

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More equations, for completeness
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