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The prestack migration image (subsurface offset domain) for a group of shots positioned at
and a group of receivers positioned at
can be given by the adjoint of a linear operator
acting on the data-space
as
|  |
|
| (7) |
where
and
are the Green functions from shot position
and receiver position
to a model space point
, and
is the subsurface offset. The symbols
and
are spray (adjoint of the sum) operators in the subsurface offset and model space dimensions, respectively.
The synthetic data can be modeled (as the adjoint of equation 7) by the linear operator
acting on the model space
with
and
|  |
|
| (8) |
where the symbols
,
, and
are spray operators in the shot, receiver, and frequency dimensions, respectively.
In equations 7 and 8 the Green functions are computed by means of the one-way wave equation Ehinger et al. (1996) and the extrapolation is performed using the adequate paraxial wave equations (flux conservation) Bamberger et al. (1988).
The quadratic cost function is
| ![\begin{eqnarray}
S({\bf m}) &=& \frac{1}{2} \sum_{\omega}\sum_{{\bf x}_s}\sum_{{...
...f d}({\bf x}_s,{\bf x}_r;\omega)-{\bf d}_{obs} \right], \nonumber
\end{eqnarray}](img33.gif) |
(9) |
| |
while its first derivative, with respect to the model parameters
, is
|  |
|
| (10) |
and its second derivative with respect to the model parameters
and
is the subsurface offset Hessian:
|  |
(11) |
| |
The next subsection shows how to go from subsurface offset to reflection and azimuth angle dimensions following the Sava and Fomel (2003) approach.
Next: Angle-domain Hessian
Up: Expanding Hessian dimensionality
Previous: Expanding Hessian dimensionality
Stanford Exploration Project
10/31/2005