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Regularized joint-inversion

The process of acquiring two seismic datasets over an evolving earth model can be represented as

$\displaystyle \left [ \begin{array}{ccc} {\bf L}_{0} & {\bf0}  {\bf0} &{\bf L...
... \left [ \begin{array}{ccc} {\bf d}_{0}  {\bf d}_{1}  \end{array} \right ],$ (A-1)

where $ {\bf d}_{0}$ and $ {\bf d}_{1}$ are the baseline and monitor datasets, and $ {\bf m}_{0}$ and $ {\bf m}_{1}$ are the baseline and monitor reflectivity models respectively. The linear operators ( $ {\bf L}_{0}$ and $ {\bf L}_{1}$) define the modeling/acquisition experiments for datasets $ {\bf d}_{0}$ and $ {\bf d}_{1}$ respectively. We rewrite equation A-1 to include spatial and regularization operators ( $ {\bf R}_{0}$ and $ {\bf\Lambda}_{0}$ respectively), and we seek to minimize the objective function

\begin{displaymath}\begin{array}{ccc} S({\bf m_0}, {\bf m_1})= \left \vert\left\...
...end{array} \right ] \right \vert \right \vert ^2. \end{array}\end{displaymath} (A-2)

This cost function can be expanded as follows:

$\displaystyle \left ( \left [ \begin{array}{ccc} {\bf {L'}_0 L_0 } & {\bf0 } \\...
...begin{array}{cc} \tilde {\bf m}_{0}  \tilde {\bf m}_{1} \end{array} \right ],$ (A-3)

which can be written as

$\displaystyle \left ( \left [ \begin{array}{ccc} {\bf H_0 } & {\bf0 }  {\bf0 ...
...begin{array}{cc} \tilde {\bf m}_{0}  \tilde {\bf m}_{1} \end{array} \right ],$ (A-4)

where

\begin{displaymath}\begin{array}{ccc} {\bf R_{ij} = { {\epsilon_i R'}_i \epsilon...
...j} = {{ \zeta_i \Lambda'}_i \zeta_j \Lambda_j}},  \end{array}\end{displaymath} (A-5)

while $ {\bf R_0}$ and $ {\bf R_1}$ are the spatial/imaging constraints for the baseline and monitor images respectively, and $ {\bf {\Lambda}_0}$ and $ {\bf {\Lambda}_1}$ the temporal constraints between the surveys. The parameters $ {\bf {\epsilon}_0}$ and $ {\bf {\epsilon}_1}$ determine the strength of the spatial regularization on the baseline and monitor images respectively, while $ {\bf { \zeta }_0}$ and $ {\bf {\zeta }_1}$ determine the coupling between surveys. Equation A-4 is the RJMI formulation. Using a similar procedure, the RJID formulation for two seismic datasets can be shown to be

$\displaystyle \left ( \left [ \begin{array}{ccc} {\bf H_0+H_1} & {\bf H_1}  {...
...ilde {\bf m}_{0}+\tilde {\bf m}_{1}  \tilde {\bf m}_{1} \end{array} \right ].$ (A-6)

In the next sections, we derive the RJID and RJMI formulations for multiple surveys.
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Next: Regularized joint-inversion of multiple Up: Joint-Inversion formulations for multiple Previous: Joint-Inversion formulations for multiple

2009-04-13