EAS 657
Geophysical Inverse Theory
Robert L. Nowack
Lecture 15
One-Dimensional Media
A special type of earth structure which occupies a primary interest of geophysicists are structures that vary in one-dimension only. An example is shown below varying in z or x3 only.
These can be layers or continuous functions of z, for example, c(z), .
Ex) In exploration seismology, a borehole sonic log may be given. A synthetic zero offset seismogram can then be calculated, including all internal reverberations, for that structure.
The figure below shows velocities with depth from a sonic log directly measured down a borehole, seismic rays from a surface source and receiver, and a synthetic seismogram.
The synthetic seismograms from the borehole log can then be compared with an observed surface seismic trace.
Ex) In earthquake seismology, assuming a layered soil column under a large building, the seismic displacements and accelerations at the base of the building may be needed given upcoming seismic waves from an earthquake.
Ex) Surface waves in earthquake seismology or “ground roll” in reflection seismology can be thought of as a multiple reverberating set of seismic waves propagating horizontally in a near surface layering.
By using separation of variables for 1-D media, closed form expressions for reverberating waves can be found (instead of tracking many rays!).
First note that since a general curved initial wavefront can be decomposed into a set of plane waves, we will look only at an incident plane wave for a 2-D (x1,x3) case with c = c(x3). Thus, the medium is 1-D, but the propagating wave can be 2-D or 3-D.
An example of a tilted plane wave incident on a layered media.
To simplify the problem even further, we will investigate only normally incident plane waves on a layered media.
For this case, forward modeling exact expressions and exact inverse expressions can be derived for the sonic log case.
1) Sonic log velocity structure synthetic seismic
waveform
for a surface
source
2) Observed seismic waveform infer the velocity structure
for a surface source
We will first investigate the forward problem for the calculation of the reverberatory waves in the structure. We will illustrate the process using the acoustic wave equation in 1-D starting with the following physics.
1) The gradient of the pressure P gives rise to an acceleration in the mass density related to the inertial term as
(1a)
and
(1b)
where are the components of the particle velocity in the x1 and x3 directions, respectively, and is the density.
2) The divergence of the particle velocity times the incompressibility K equals the rate of pressure decrease
(2)
where S(x1,x3,t) is a pressure source. Note that the pressure rate is related to the dilatation rate by
where and u is the displacement field. Then,
This is equivalent to Eqn. (2) without the source term. Equations (1) and (2) can be written in several different ways. In terms of first order equations
(3a)
where K is the bulk modulus.
Most physical systems can be described in terms of first order matrix systems by introducing new variables. Thus,
Alternatively, we could write Eqn. (3a) in terms of the pressure P alone by writing this as a second order system. Taking the second derivative of equation (2)
From Eqn. (1)
If density is approximately constant, then
(3b)
where
This is the general scalar wave equation.
Note, that in doing this we have lost the separation of and K. We will often prefer to work with first order equations (3a) whenever possible.
Ex) Heat flow in the x1-x3 plane. The heat flow H can be written as
where is the thermal conductivity and T is the temperature. Also,
where C is the heat capacity, and s is a heat source. These equations can be combined as,
which is a diffusion equation for the temperature field T(t,x1,x3).
If we have a 1-D acoustic media, then , which are not functions of either t or x1. We can then use Fourier transforms to reduce the Eqns. (3a) using
Then Eqn. (3a) becomes,
From the first two equations,
From the third equation,
or
resulting in
V1 then becomes an auxiliary variable and the system can be reduced to two equations.
We thus no longer have partial derivatives in the matrix and this is of the form
(4)
which is an initial value problem given S and X = X() where . To find the pressure field in the time and space domain at some depth x3, then
and the same for .
Let’s first comment on Eqn. (4) in terms of degree of singularity. Assume we have a welded interface with a step change in K and . Then the matrix A has a step discontinuity in its coefficients. This is illustrated below.
In a source free region, . Now in order for this equation to have balanced orders of singularity, then X can, at most, have a discontinuity in the x3 derivative and, therefore, must be continuous in x3 which is illustrated below.
Thus, in a source free region, the field is always smoother than the material parameters.
Numerical Matrizants (propagators)
Starting with Eqn. (4), then taking a finite difference
or
This can be used recursively to find X(x3) for any . Let . Then for each interval in depth where , then
which is a recursion relation. Given X0 at depth , then
Thus, we can find at a bottom depth from at a top depth as,
Since this is a 2x2 matrix equation, we have two equations for four unknowns being the components of and . Thus, we need two additional boundary conditions to determine the problem which we discuss later.
M is called a numerical matrizant or propagator. If parts of the medium have constant material parameters and contain no sources, then
By analogy to the scalar case where . For the matrix case, we can write
We will interpret the exponential
of a matrix in terms of its
or to first order
Thus, the finite difference approximation above to the original equation gives the first two terms of the exact homogeneous solution.
We now will interpret in terms of up and down going waves so we can get the two remaining boundary conditions.
The transformed acoustic wave equation can be written as
where
This is again of the form
where in a source free region, this can be written as
We now want to transform A into an equivalent diagonal form. First, we find the eigenvalues of A
then,
and
which are the imaginary eigenvalues
Let,
then,
The vertical component of the wavenumber vector k3 is from the figure below
and
We now need to find the eigenvectors where
The two eigenvectors can be put into one equation as
For our case,
then,
For the two eigenvalues and , the eigenvectors, and X1 and X2 as
Then,
We will leave these eigenvectors unnormalized so that our physical interpretation of up and down going pressure waves have the right units.
In terms of matrices, the eigenvalue problem can be written as
where is a diagonal matrix with the eigenvalues along the diagonal. Then,
or
with
Note that,
where
Thus,
Finally,
I is called the vertical acoustic impedance which is also the ratio of the pressure to the vertical particle velocity. One over the acoustic impedance is called the acoustic admittance. Then,
Now return to the general equation
In a source free, homogeneous medium,
where P is the Fourier transformed pressure and V3 is the vertical particle velocity. Let in a homogeneous region, then
Let , then
(5)
in a source free, constant medium. Let,
where we will interpret U and D to be up and down going waves. Then,
If are up and down going waves, then
The solution to Y(x3) in Equation (5) is
Using a
But, , then
Thus, U(x3) and D(x3) in a homogeneous medium are indeed in the form of up and downgoing waves.
If we return to the original problem
this has a solution where . Recall Sylvester’s
theorem, which states that the function of a square matrix with a complete set
of eigenvectors can be written as which can be derived using
a
(6)
Since the pressure and vertical particle velocity are continuous across a material discontinuity, we can use Eqn. (6) to relate at the top of layer 1 to the top of layer 2 (see figure below).
since,
Then,
where,
with and . This can be written
or
Then, with
where ri is the acoustic reflection coefficient. The acoustic transmission coefficient is
Then,
The recursion of up and downgoing waves from the top of the stack of layers to the bottom is
(7)
This is illustrated in the figure below.
For the reflection seismology case with a source at the top and no waves coming from below, then (neglecting the free surface)
source
reflection seismogram
transmission seismogram
no waves from below
From Eqn. (7) and now including the free surface, then
where . From the first equation
or
In the time domain, corresponds to in the frequency domain. The Z variable above is
which is related to the two-way time through layer i. Thus, the inverse transform of R(Z) will give the reflection seismogram with reflection delayed in time. This will work for any inclined plane wave incidence on the stack of layers. In order to do this, we need to first solve the layer matrix Eqn. (7) above with the boundary conditions to give R(Z) and T(Z).
We will now set up the inverse problem in a discrete layered model from a physical point of view.
Inversion of a
What can we recover about the Earth from a normal incident reflection seismogram? We will look just at a 1-D medium where . Assume a discrete stack of layers each with a constant .
A Goupillard medium [Goupillard (1961), Geophysics 26, 754-760] is designed to have constant travel-times in all layers.
In each layer
Then, for the up and down going pressure waves,
We will construct the layers so that
Thus the thicknesses change in such a way that all the ’s are constant. We could also make the layers arbitrarily thin to approximate the continuous case. Suppose we have an impulsive source at the surface as illustrated below.
We record at the surface a set of equally spaced impulses, thus
where R(t) is the reflection seismogram. Transforming this seismogram to the frequency domain gives
Since corresponds to in the frequency domain, then
Define . Then the reflection seismogram in the frequency domain is
This is a power series in Z called a Z-transform. It is related to a Fourier transform for a sampled signal.
IMPORTANT: The values an in the time domain are the coefficients of Zn, where Zn is a time shift operator in the frequency domain. Thus, Z is related to the two way travel time in each layer. (Note that Z-transforms are very popular in geophysics, as well as engineering.)
Let’s look at an incident pulse with unit amplitude incident on a particular interface. For an incident pulse from above. This can be shown as
For an incident pulse from below, then
We require at the boundary, continuity of pressure P and vertical particle velocity
1)
2)
We can define up and down going waves in terms of either pressure or vertical particle velocity. Note, for seismics, we will use displacement waves (a vector quantity) and for acoustics, we will use pressure (a scalar quantity).
From condition 1) for pressure waves
where ri is pressure reflection coefficient and ti is the transmission coefficient, and also
where
The relation between and is
Thus, if we know any one of the quantities , we can determine all of them.
Now we apply an impulse with unit amplitude at the surface of a stack of layers. A scattering diagram is shown below where x3 is the horizontal axis and time is the vertical axis. The discrete reflection seismogram has amplitudes recorded every time intervals.
The following layers stripping approach can be used to find the reflection coefficients.
1) From the first amplitude observation in time at on the reflection seismogram, we can obtain .
2) We can then determine .
3) It is assumed we know .
4) From the second amplitude observation at time , get and from this, obtain .
Continuing in a recursive manner, we can obtain from the amplitudes at times on the reflection seismogram. From the reflection coefficients, we can then obtain .
Thus, we can use this approach to obtain the seismic impedances Ii from the observed reflection seismogram. Note this is for vertical incidence only. Unless we know , we can’t find ci separately. The specific formulas for both the forward and inverse case will be given later, but this is the general approach.
Let’s now look at a simple layer resonance
The transmitted wave above interface 1 has the form
where corresponds to the layer time delay operator. The transmitted wave can be written in a closed form as,
This is an exact expression for the entire infinite set of reverberations in the layer. We would like to do this to obtain the exact expression for a set of layers.
For the discrete case,
The primes denote motions at the bottom of each layer. From this,
or
and
This can be written as
Since , then
and
Then,
Since is the operational two-way travel time operator in the layer, multiplying by is equivalent to delaying the wave by the layer thickness time . Then,
where is equivalent to the layer matrix found in the earlier analysis. Now,
or in general
(8)
where
This can be shown by adding next term and showing it has the same form.
Equation (8) has the same form as equation (7) in the earlier analysis.
Now introduce the reflection seismogram,
where Z is the unit delay operator.
The transmission seismogram can also be written as,
where we have a reflection geometry with a source above and no sources at the bottom as shown in the figure below.
Thus,
and
Then,
From the first equation,
where
with
The transmission seismogram can be manipulated into the form
Thus, for the forward problem, we can calculate both R(Z) and T(Z) in the reflection geometry.
We could also set up the problem in the earthquake geometry (for this case in the acoustic case, but also in the elastic case) as shown in the figure below.
For the inverse reflection problem, we want to get the reflection coefficients from the reflection seismogram . From
and
Now,
and
where R(Z-1) is a change in the order of time. This equals
Now , and
and,
where is proportional to the determinant of the propagator except for a factor.
Now, the determinant of a product of matrices is the product of the determinants. Thus,
then,
where is causal with no negative powers in Z. This simple fact is enough to determine the reflection coefficients from the waves. Thus, all negative powers of z must vanish!
From causality then, all these terms up to Z-N must vanish. This results in a matrix equation
where the matrix is a Toeplitz matrix. If we are given , this system of equations can be used to recursively solve to find the reflection coefficients. The impedances can be found from the estimated reflection coefficients .
This is a more formal approach to the qualitative approach given before for the inversion of a reflection seismogram. For more details on this approach, see Claerbout (1976) (Fundamentals of Geophysical Data Processing, McGraw-Hill), and Aki and Richards (1980) (Quantitative Seismology, Freeman).