A wavelet-based method is developed for the numerical modelling of
acoustic and elastic wave propagation. Several techniques are
implemented together to develop the method. Using a
displacement-velocity formulation and treating spatial derivatives with
linear operators based on wavelet transform, the wave equations are
rewritten as a system of equations whose evolution in time is
controlled by first-order derivatives. The linear operators for the
spatial derivatives are treated in wavelet bases by projection with a
wavelet transform. The discretized solution in time can then be
represented in an explicit recursive form using a semigroup approach.
Absorbing boundary conditions are considered implicitly by including
attenuation terms in the governing equations, and the traction-free
boundary conditions can be implemented by augmenting the system of
equations with equivalent force terms at the boundaries.
This wavelet-based method is applied to acoustic, SH and
P-SV waves for several 2-D models with rigid or traction-free
boundary conditions, and numerical results are compared with the
analytic solutions. Also, the wavelet-based method is extended to
problems with topography using a grid-mapping technique. The method is
stable even in the applications to highly-varying topography problems
and generates accurate responses. The wavelet-based approach is also
appropriate for modelling in complex media with highly perturbed random
media or with strong heterogeneities. The new technique is shown to be
suitable for accurate and stable modelling of wave propagation in
general complex media.
The wavelet approach is then expanded to models with localised
heterogeneity, with significant contrasts with their surroundings. We
consider zones with both lowered wavespeed such as a fault gouge zone
and elevated wavespeeds as in a subduction zone. In each of these
situations the source lies within the heterogeneity. The
representation of the source has therefore been adapted to work
directly in a heterogeneous environment, rather than using a locally
homogeneous zone around the source. This extension also allows the
wavelet method to be used with a wider variety of sources, e.g.,
propagating sources. For the fault zone we consider both point and
propagating sources through a moment tensor representation, and reveal
significant trapped waves along the gouge zone as well as permanent
displacements. For subduction zones a variety of effects are produced
depending on the depth and position of the source relative to the
subducting slab. A variety of secondary waves, such as reflected and
interface waves, can be produced in wavetrains at regional distances
and tend to be more important for greater source depth.
The high stability and accuracy of the wavelet-based method in highly
perturbed media allows this approach to be exploited for the
investigation of seismic-wave scattering in several stochastic
(Gaussian, exponential, von Karman) random media. The scattering
attenuation depends on the correlation distance of the random
heterogeneities, the velocity ratio of P and S waves,
and the frequency content of the incident waves. Theoretical
attenuation variation is derived for the comparisons with numerical
results by using the first-order Born approximation. The minimum
scattering angle for these stochastic media is found to be in the range
60-90 degrees, and it appears that methods such as finite-differences
may overestimate scattering attenuation when the level of the
heterogeneity is high.
The characteristics of scattering attenuation patterns in elastic waves
are investigated using the theoretical expressions for P and
S waves. S waves lose more energy in the low
frequency range (fa<=1 km/s, where fa is the normalized
frequency) than P waves, and the phenomenon is reversed at
high frequency range. The frequency dependency of seismic scattering
makes the scattering attenuation ratio increase with frequency at
0.1<fa<2 km/s, and the ratio of P and S
scattering is nearly constant outside these ranges of normalized
frequency. The minimum ratio is determined to be about 0.4 and the
maximum ratio increases with the Hurst number (nu) for von Karman
random media (including exponential random media) from 1 (nu=0.05)
to 1.7 (nu=0.5). Gaussian random media display a steep change in
the P/S scattering ratio and may not be suitable for
the representation of natural random heterogeneities in the earth.
With an appropriate choice of the Hurst number, the von Karman model
can reproduce the random heterogeneities of the crust.
From complementary studies on scatterings of acoustic and SH
waves in stochastic random media, the effects of physical-parameter
perturbation on scattering are resolved. Due to the difference in the
form of the equations between acoustic and elastic waves, i.e., the
differences in the placement of the density and Lame coefficients,
there are characteristic differences in scattering patterns and the
attenuation rates. The perturbation in the density in elastic waves
introduces additional energy loss in primary waves, and the energy loss
is proportional to the magnitude of the density perturbation.
Finally, elastic waves are modelled in media with randomly distributed
fluid-filled circular cavities, which is a challenging problem for
numerical techniques. The energy dissipation of the primary waves is
proportional to the scale of the cavities. Theoretical attenuation
variations for media with circular cavities, which may be filled with
any materials (e.g., vacuum, fluid, elastic materials), have been
formulated and they are compared with the numerical results for the
media with fluid-filled cavities. The numerically estimated
attenuation rates agree well with the theoretical variation. The
attenuation rates increase linearly with normalized wavenumber, unlike
those in stochastic random media that display a parabolic trend for the
normalized wavenumber. Also, the normalized attenuation rates are
identical between those measured from media with a same normalized
wavenumber (i.e., same radius of cavities) even if the number densities
(number of cavities per area in a medium) are different. It appears
that random heterogeneities in a specific region can be described
properly with combined use of stochastic random heterogeneities and
random heterogeneities with high impedance by considering the
scattering attenuation patterns.