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GCSeismic Modeling and Imaging - Making Waves*
By
Phillip Bording1 and Larry Lines2
Search and Discovery Article #40066 (2002)
*Adapted for online presentation from the Geophysical Corner column in AAPG Explorer December, 2000, entitled “Seismic Modeling Makes Waves,” and prepared by the authors. Appreciation is expressed to the author, to R. Randy Ray, Chairman of the AAPG Geophysical Integration Committee, and to Larry Nation, AAPG Communications Director, for their support of this online version.
1Consultant, Hazel Green, Alberta, Canada
2University of Calgary, Alberta ([email protected])
Exploration seismology essentially involves dealing with seismic wave equations. We record seismic waves, process digital seismic signals and attempt to interpret and understand the meaning of these signals in geological terms. Discontinuities in subsurface rock formations give rise to seismic reflections, or “echoes.” These signals provide us with information about the location of geological structures and, consequently, allow us to search for hydrocarbon traps.
The key to successful seismic exploration lies in deriving meaningful images of subsurface geology. In order to do this, our computer imaging codes need to use accurate mathematical descriptions of waves.
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Click here for sequence of the snapshots of an expanding seismic wavefield.
Click here for sequence of Figure 3a and 3b.
ModelingOur ability to compute solutions of the elastic wave equation allows us to both model and image seismic waves. In an elastic medium, the wave equation is based on two fundamental laws of physics: · One is Newton's Second Law of Motion, which states that the acceleration of a body equals the force acting on the body divided by the mass of the body. · The other law is Hooke's Law of elasticity, which states that the restoring force on a body is proportional to its displacement from equilibrium. By combining these two laws, we obtain the elastic wave equation. In the simplest case of a homogeneous rock body, the wave equation is given by:
In the equation:
·
The symbol
· "u" is the wavefield. (If we are recording with hydrophones, we would consider pressure wavefields.) · "v" represents the wave velocity in the medium.
·
To compute
solutions numerically to the wave equation, we need to evaluate second
derivatives in space and Figure 1 shows movie snapshots of wave propagation passing through an earth model consisting of layers onlapping on a salt dome. This allows us to model or simulate numerically the seismic wave response in an earth model. The model response is termed a synthetic seismogram. These models are useful for seismic survey design and for examining how we might illuminate subsurface features by seismic experiments. Forward modeling allows us to predict how our experiments might aid in exploration.
An even more
useful application of seismic wave computations involves the imaging of
actual data that we have recorded. We can do this by essentially running
the seismic wave propagation movie backward in In order to understand the ability of seismic wavefield computations to image subsurface geology, consider the simple example in Figure 2, where we consider the case of a coincident source and receiver. The seismic experiment, as shown in the figure, displays a wave emanating from a surface source, traveling through the earth at the seismic velocity of the earth and hitting a geologic discontinuity. Upon hitting the discontinuity, reflected seismic energy travels back to the surface at the seismic velocity, where it is recorded by a receiver. For this experiment, we could equivalently also consider the wave to be generated by a pulse that was initiated at the geologic reflector and traveled at half of the velocity of the medium to the receiver. This is the so-called “exploding reflector model.” which was an ingenious idea of the late Dan Loewenthal who pioneered its use in various migration algorithms.
Our ability to
image the subsurface geology would be made possible by “running the wave
propagation movie backward in
Fortunately, we
are able to "reverse-
For a brief
historical note, it should be mentioned that this idea had an enormous
practical use in Amoco's exploration of the Wyoming Overthrust Belt in
the 1980s. Dan Whitmore of Amoco Research was probably the first to make
widespread use of “reverse-
Reverse-
First of all,
consider recorded seismic traces for positions along the earth's surface
and reverse the signals in Next, propagate these seismic recordings back into the depths - back to the reflecting points from which they originated - by using the same wave equation algorithm that we used in forward modeling. We use half the wave velocity since the propagation is one-way. In other words, we "depropagate" the seismic waves back to the reflecting surfaces in depth.
The imaging
method is as general as the form of the wave equation that is used.
Almost all of the complexities of reverse-
In order to
convince the explorationist of the power of reverse-
In order to
unravel the seismic reflector positions and place them in their true
subsurface locations, we migrate the reflection energy back to the point
in the subsurface where it originated. In
Figure 3, the depth image obtained by reverse-
Summary
For real data,
depth migration is rarely this good due to the fact that we generally
have only estimates of the seismic velocity with which to depropagate
the wavefields. Although reverse-
We should not
give the impression that reverse- In essence, “making waves” to produce useful images is a worthwhile occupation in many scientific pursuits.
Baysal, E., D.D. Kosloff, and J.W.C. Sherwood, 1983, Reverse
Fink, Mathias, 1999,
McMechan, G., A, 1983, Migration by extrapolation of
Whitmore, N. Dan, 1983, Iterative depth migration by backward Whitmore, N. Dan, and Larry R. Lines, 1986, Vertical seismic profiling depth migration of a salt dome flank: Geophysics, v. 51, p. 1087-1109.
Wu, Yafai, and G.A. McMechan, 1998, Wave extrapolation in the spatial
wavelet domain with application to poststack reverse- |


