Estimation of Anisotropic Elastic Coefficients from Seismic Data

In our attempt to better understand the elastic anisotropy in the subsurface, we have developed an algorithm in which elastic coefficients of an anisotropic media is estimated reflectivity data. To do this, we have implemented our in-house forward modeling algorithm ARTC along with Pseudo-linear iterative leastsquare optimization. Due to the complexity of the relationship between elastic coefficients and the reflectivity, the inverse kernel is calculated based on the sensitivity of the data to the elastic parameters. We applied this method to the various models with different anisotropic symmetries and analyzed.