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Bibliography

Brown, D., 1984, A note on the numerical solution of the wave equation with piecewise smooth coefficients: Mathematics of Computation, 42, 369-391.

Cohen, G. C., 2002, Higher order numerical methods for transient wave equations: Springer.

Fehler, M., and P. J. Keliher, 2011, SEAM Phase I: Challenges of subsalt imaging in tertiary basins, with emphasis on deepwater gulf of mexico: Society of Exploration Geophysicists.
(eISBN=9781560802884, eBook catalog number 114E).

Fomel, S., 2009, Madagascar web portal: http://www.reproducibility.org, accessed 5 April 2009.

Levander, A., 1988, Fourth-order finite-difference P-SV seismograms: Geophysics, 53, 1425-1436.

Moczo, P., J. O. A. Robertsson, and L. Eisner, 2006, The finite-difference time-domain method for modeling of seismic wave propagation: Advances in Geophysics, 48, 421-516.

Muir, F., J. Dellinger, J. Etgen, and D. Nichols, 1992, Modeling elastic fields across irregular boundaries: Geophysics, 57, 1189-1196.

Symes, W. W., D. Sun, and M. Enriquez, 2011, From modelling to inversion: designing a well-adapted simulator: Geophysical Prospecting, 59, 814-833.
(DOI:10.1111/j.1365-2478.2011.00977.x).

Symes, W. W., and T. Vdovina, 2009, Interface error analysis for numerical wave propagation: Computational Geosciences, 13, 363-370.

Terentyev, I., and W. W. Symes, 2009, Subgrid modeling via mass lumping in constant density acoustics: Technical Report 09-06, Department of Computational and Applied Mathematics, Rice University, Houston, Texas, USA.

Terentyev, I., T. Vdovina, X. Wang, and W. W. Symes, 2012, IWAVE: a framework for wave simulation: http://www.trip.caam.rice.edu/software/iwave/doc/html/index.html, accessed 21 Sept 2012.

Virieux, J., 1984, SH-wave propagation in heterogeneous media: Velocity stress finite-difference method: Geophysics, 49, 1933-1957.

----, 1986, P-SV wave propagation in heterogeneous media: Velocity stress finite-difference method: Geophysics, 51, 889-901.

vp1
vp1
Figure 1.
Dome velocity model
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dn1
dn1
Figure 2.
Dome density model
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data1
data1
Figure 3.
2D shot record, (2,4) staggered grid scheme, $\Delta x = \Delta z =$ 5 m, appropriate $\Delta t$, 301 traces: shot x = 3300 m, shot z = 40 m, receiver x = 100 - 6100 m, receiver z = 20 m, number of time samples = 1501, time sample interval = 2 ms. Source pulse = zero phase trapezoidal [0.0, 2.4, 15.0, 20.0] Hz bandpass filter.
[pdf] [png] [scons]

trace
trace
Figure 4.
Trace 100 (receiver x = 2100 m) for $\Delta x = \Delta z =$ 20 m (black), 10 m (blue), 5 m (green), and 2.5 m (red). Note arrival time discrepancy after 1 s: this is the interface error discussed in (Symes and Vdovina, 2009). Except for the 20 m result, grid dispersion error is minimal.
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wtrace
wtrace
Figure 5.
Trace 100 detail, 1.8-2.5 s, showing more clearly the first-order interface error: the time shift between computed events and the truth (the 2.5 m result, more or less) is proportional to $\Delta t$, or equivalently to $\Delta z$.
[pdf] [png] [scons]

data8k1
data8k1
Figure 6.
2D shot record, (2,8) scheme, other parameters as in Figure 3.
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trace8k
trace8k
Figure 7.
Trace 100 computed with the (2,8) scheme, other parameters as described in the captions of Figures 3 and 4.
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wtrace8k
wtrace8k
Figure 8.
Trace 100 detail, 1.8-2.5 s, (2,8) scheme.. Comparing to Figure 5, notice that the dispersion error for the 20 m grid is considerably smaller, but the results for finer grids are nearly identical to those produced by the (2,4) grids - almost all of the remaining error is due to the presence of discontinuities in the model.
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next up previous [pdf]

Next: Annotated Parameter Files Up: Using IWAVE Previous: Acknowledgements

2012-10-17