We apply PS-AMO regularization to a portion of a real OBS data set recorded above the Alba oil field. The Alba oil field is located in the UK North Sea and elongates along a NW-SE axis. The oil reservoir is 9 km long, 1.5 km wide, and up to 90 m thick at a depth of 1,900 m subsea Newton and Flanagan (1993).
The 3-D OBS data set has been already preprocessed and separated into a PP and a PS section. This paper focus on the PS section only. The subset of the data set consists of 250 inline CMPs, 50 crossline CMPs, 200 inline half-offset, and 40 crossline half-offset.
Figure presents the spatial distribution
for the shots on the left, and receivers on the right.
Observe the gap in the shot
distribution due to the platform.
Additionally, Figure
shows the distribution of the CMPs on the
left, and the offsets on the right. Note that
the main goal of this experiment is to collapse
the crossline offset into zero crossline offset.
Figure
shows the data, for a particular
inline offset, at zero crossline offset.
Observe the sparsity of the data and
the small number of live traces.
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data
Figure 4 Real data problem, data for zero crossline offset, the missing data is obvious. | ![]() |
Figure presents the main
result of this paper. It compares the real data
at zero crossline offset, the result of
pure stacking all the crossline offsets, and
the result of partial stacking the crossline offsets
with the PS-AMO operator. The sections for all the
cubes are taken at the same position. Note that
by just stacking there are still holes in the
data. This is not the case after running
partial stacking with the PS-AMO operator.
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Additionally, Figure
presents the partial stacking with PS-AMO
with and without the normalization.
Note that by approximating the
Hessian of the PS-AMO transformation using
equation 12, we are
able to balance the energy of the traces
after normalization.
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