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The dataset used in this paper (provided by ExxonMobil) is designed as a test
for interpolation algorithms used for 3D surface-related multiple elimination.
The model is constant-velocity, with multiple reflectors and 500 point
diffractors contained in a prism near the water bottom that is oriented
perpendicular to the acquisition direction. A schematic of the model is shown in
Figure
.
geom
Figure 1 The model for the synthetic data: a prism
containting diffractors below the sea floor, with reflectors underneath.
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The data coverage is that of a modern marine 3D survey, acquired in a
racetrack fashion. There are 12 streamers spaced at 50m, with 400
receivers in each streamer spaced at 12.5m, with a near offset of 100m for
a maximum in-line offset of 5100m. There are two sources, spaced at 25m in
the cross-line that are fired in a flip-flop fashion so that a single shot is
fired every 37.5m. The total cross-line aperture is 550m.
There are 10 sail lines with a spacing of 200m. This is very dense for a 3D
survey, but the data density requirements of performing 3D SRME are much
greater.
Ideal geometry for 3D SRME would include a source at every point where there is
a receiver. In this case, a bin size of 12.5m would be ideal, meaning that in
terms of interpolation, the following increase in data density would have to
occur:
- Receiver spacing (in-line): none,
- Source spacing (in-line): factor of 3,
- Receiver spacing (cross-line): factor of 4,
- Source spacing (cross-line): factor of 8 or 16.
As can be seen, the combined ratio of needed data to sampled data is 96,
meaning that the current sampling of the desired output cube is incredibly sparse. This is
neglecting the extrapolation that is also required for receivers in the in-line
direction to zero offset, which is minor, as well as for the extrapolation of
receivers which is required in the cross-line direction, which would add another
factor of 4 to this problem.
Most interpolation algorithms are tested by a factor of 2 in the in-line
direction, meaning the infill of flip-flop shooting. This will be tested first,
and afterward the infill of receiver cables.
Next: Flip-flop interpolation
Up: Curry: Interpolating diffracted multiples
Previous: Background
Stanford Exploration Project
4/5/2006