\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 to allow for reliable prediction of CO_2 distributions. To this end, we developed a two-step optimization procedure based on gradual deformation parametrization of both static and dynamic data. Numerical experiments based on a realistic heterogeneous saline aquifer model indicates that, given initial static data, the inversion approach should allow for faithful properties estimation and reliable prediction of the spatial distribution of CO_2. Critical future work will need to explore the application of this methodology to field data, as well as its extension to 3-D scenarios.
    
    
  