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Optimized design of frequencydomain acoustic waveform tomography experiments

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Title: Optimized design of frequencydomain acoustic waveform tomography experiments


1
Optimized design of frequency-domain acoustic
waveform tomography experiments
  • Hansruedi Maurer and Stewart GreenhalghETH
    Zurich, Switzerland

2
Outline
  • Waveform sensitivities
  • Experimental design of waveform tomography
    experiments
  • Suitable data representations
  • Choice of temporal frequencies
  • Temporal frequencies vs. spatial sampling
  • Tests with synthetic data
  • Conclusions

3
Time-domain sensitivities
Acoustic waveform inversion
  • Solution of the forward problem
  • finite differences
  • finite elements
  • spectral elements
  • ...

Solution of the inverse problem
Although not necessarily computedexplicitly, the
sensitivities containedin J are essential for
the solution ofthe inverse problem.
4
Frequency-domain inversions
Frequency-domain sensitivities
  • Seismic data generally band-limited
  • Computationally less demanding compared with
    time-domain inversions
  • Stationary problem to be solved

5
Optimized design of frequency-domain acoustic
waveform inversions
  • How can we set up an experiment, with which
    maximum subsurface information can be extracted
    at minimal (field efforts AND computational
    expenses) costs?

6
Eigenvalue spectra and model resolution
Threshold
Eigenvalue
Eigenvalue index
Resolved model space
Null space
Characterizes informationthat can be extracted
frominversions!
Characterizes data information content!
7
Test model
P-wave velocity 2000 m/sFinite element
mesh 0.15 mInversion mesh 0.30
mFrequencies 100, 200, 500, 750, 1000, 1250,
1500 HzSource-receiver spacings 0.25, 0.5, 1,
2, 5 m
30 m
20 m
8
Data representation
  • Complex-valued spectra
  • Hartley spectra
  • Amplitude
  • Phase

Which representation is most appropriate?
9
Data representation
If possible, full complex-valued spectra should
be considered!
10
Choice of temporal frequencies
  • Single frequency is likely inappropriate
  • Many frequencies offer better resolution, but at
    computationally higher costs
  • Large bandwidth may be difficult to achieve

Which combination of frequencies offer best
benefit-to-cost-ratio?
11
Choice of temporal frequencies
If the bandwidth is sufficiently wide,
highfrequencies are becoming particularly useful!
12
Model resolution of single and cummulative
frequencies
  • Model resolution of single frequencies is
    substantially lower than those of cummulative
    frequencies
  • Acoustic waveform inversion may be capable to
    resolve features outside of the tomographic plane!

13
Temporal frequencies vs. spatial sampling
  • Frequency content is more important than spatial
    sampling
  • Trade-off between selection of temporal
    frequencies and spatial sampling exist

14
Inversion tests
  • Cumulative frequencies superior to single
    frequency inversion
  • Trade-off between temporal frequencies and
    spatial sampling confirmed
  • Features outside of tomographic plane resolved

15
Conclusions
  • Complex-valued spectra offer substantially more
    information than other data representations.
  • Combination of some bandwidth and high
    frequencies is most useful.
  • Trade-off between choice of temporal frequencies
    and spatial sampling exists.
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