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\section{Conclusion}  The objective of this study was to develop an inversion workflow to obtain reservoir properties such as $V_p$, $V_s$, $\rho$ and $\phi$ that are sufficiently detailed and accurate enough to allow for reliable prediction of CO_2 distributions, that is a key element for the CO_2 monitoring. For this end, we developed a two-step optimization procedure based on gradual deformation parametrization of both static and dynamic data. Numerical testing on a realistic heterogeneous saline aquifer model has indicated that, given initial static data, the inversion approach should allow for faithful properties estimates and reliable predictions of CO_2 distribution. Critical future work will need to explore the application of this methodology to field data, as well as its extension to 3-D scenarios.