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For the first step I used an analytic ray tracer to compute the surface emergence
positions of rays originating at equally-spaced reflection points along the
reflector. These reflection points were taken every 18 m, corresponding to
the CMP interval in the traditional design. For the flat reflector the number
of pairs of rays originating at each point was kept equal to the fold in the
standard design. The rays correspond to a uniform increase in reflection
aperture angle and therefore will not correspond to uniform
offsets in a CMP gather. In the semicircle the number of rays was increased
as a function of the reflector dip, so that where the dips are larger more
rays were generated. The maximum offset was not constrained except for the
obvious requirement that any reflection time were less than the chosen
trace length.
The next step is to use non-linear inversion to find the optimum source and
receiver positions from the different targets. In this case, since
there is only one target, the inversion reduces to a simple binning to honor
the constraint that the receivers should be at equal
distance along the line profile. I chose for the receiver
interval the same value obtained in the standard design so that the results
can be easily compared. The shots were also binned at the same receiver
interval to further regularize the design (and guarantee equal distance
between CMPs and between the stacked traces). Only shots that contribute at
least half the number of traces of the standard geometry shot (that is
36) were considered. A total of 402 shots met this criterion (which is
rather arbitrary). The number of traces per shot, and hence the
maximum offset, was allowed to change from shot to shot. In this example
this is the only degree of freedom that I used
to adapt the acquisition effort to variations in the subsurface dip.
In a real case, where the reservoir location is known or suspected,
we could locally vary the receiver group interval or more likely the
shot interval. In 3-D there are extra degrees of freedom associated with the
azimuth and the choice of geometry template.
The next step is to simulate the acquisition of the data using the computed shot
and receiver positions. Again, this was done with an analytic ray tracer.
Figure
shows some of the shots. Note that they have
different number of traces. Also, they look irregular because the plotting
program places the traces together at the same distance irrespective of their
offset. Figure
shows some CMPs
along the line profile. As with the
shots, the number of traces changes from CMP to CMP. Also note that there
are ``holes'' in the CMP's illustrating the difference between uniform offsets
and uniform illumination. Figure
shows the fold diagram.
In this case there are differences in the fold coverage from CMP to CMP.
As long as the minimum CMP fold is maintained, this shouldn't be a problem.
More importantly, note the large offsets at both sides of the semicircle
and the smaller offsets above the semicircle (compare with
Figure
).
Figure
shows the stacked section. Comparison with
Figure
does not reveal any striking difference because
the stack smooths out the effect of the irregular offsets. The important
difference between the two figures is the lateral extent of the semicircular
reflection.
Figure
shows the migrated section and
Figure
shows a comparison with the migrated section
obtained with the standard acquisition. Not surprisingly,
the two images are almost the same, since they were computed with the same
aperture. The proposed design, however, required about 80 fewer shots.
modcirc3_shots
Figure 7 Synthetic shot records modeled
with the proposed acquisition design.
modcirc3_cdps
Figure 8 Selected CMPs modeled with the
proposed methodology.
modcirc3_fold
Figure 9 Fold diagram for the proposed
methodology
modcirc3_stack
Figure 10 Stacked section of modeled
data generated with the proposed design
modcirc3_mig
Figure 11 Post-stack migrated section of modeled
data generated with the proposed design
modcirc13_comp
Figure 12 Close up comparison of post-stack
migrated sections generated with the traditional (left) and proposed (right) design
This example is rather artificial in that the savings in the number of shots
comes simply from a realization that not all shots contribute the same number of
traces to the subsurface image. In the real case a more important consideration
would be to what part of the image every shot contributes. Those shots
that contribute to the reservoir location (or any other critical part of the
image) will be kept even if they contribute only a small number of traces. This
flexibility is important when faced with obstacles which force us to displace
shots or receivers. The effort that we put into it may depend on the relative
contribution of those shots and receivers to the critical parts of the image
as opposed to the standard approach
in which all shots and receivers are considered equally important.
In order to see the importance of the fewer shots in the quality of the image,
I modeled the data again with the standard approach but using only 402 shots
(the same that I used in the proposed approach). The first shot will now be
at -5350 m which translates to a maximum dip angle of 69 degrees with one fold
and 60 degrees with full fold. Figure
shows a
comparison with the proposed approach. The difference in the high dips of the
images on the left-hand-side of the semicircle is clearly visible.
modcirc13_comp2
Figure 13 Close up comparison of post-stack
migrated sections generated with the proposed design (left) and the standard design
with the same number of shots.
An obvious improvement to the above methodology consists in acquiring, for
every shot, not only those receiver positions obtained form the inversion, but
also those in between. After all, if the intermediate receiver stations are
available,
why not use them? Figure
shows the fold diagram in
this case. The number of shots is the same as in the previous case, and the
increase in fold is due entirely to the intermediate receivers.
modcirc4_fold
Figure 14 Fold chart of modeled
data generated with the proposed design using intermediate traces
Next: Discussion
Up: A simple 2-D model
Previous: Modeling with traditional parameters
Stanford Exploration Project
6/7/2002