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Optimization of the objective function in Equation (19)
requires computation of its gradient with respect to slowness.
The objective function J can be rewritten using the
inner product as:
| |
(20) |
A perturbation of the function J is related to a perturbation
of the wavefield by the relation:
| |
(21) |
If we replace from Equation (11) we obtain:
| |
(22) |
therefore the gradient of the objective function can be written as
| |
(23) |
Following the definition of the operator , we can write
| |
(24) |
Finally, the expression for the gradient of the objective function
with respect to slowness becomes
| |
(25) |
which takes special forms depending on our choice of the
operators and :
WEMVA by TIF |
WEMVA by DSO |
|
|
The gradient in Equation (25)
is computed using the adjoint state
method, which can be summarized by the following steps:
- 1.
- Compute by downward continuation the wavefield
| |
(26) |
- 2.
- Compute by upward continuation the adjoint state wavefield
| |
(27) |
i.e. solve the adjoint state system
| |
(28) |
- 3.
- Compute the gradient
| |
(29) |
Next: Linearization
Up: Theory of wave-equation MVA
Previous: Objective function
Stanford Exploration Project
11/11/2002