Estimation of elastic parameters using multichannel blind inversion of elastic impedance and comparison of it with Bayesian AVO inversion

Elastic parameters can be retrieved from pre-stack seismic data using the concept of the elastic impedance (EI). As the first inversion method in this study, an inversion algorithm is used that recovers the elastic parameters from pre-stack seismic data in two sequential steps. In the first step, using the multichannel blind seismic inversion, blocky EI models are obtained from partial angle-stacks. Using total-variation (TV) regularization, each angle-stack is inverted in a multichannel form. The second step involves the inversion of the resulting EI models for elastic parameters. Mathematically, the EIs are linearly described by the elastic parameters in the logarithm domain. Thus, a linear least-square inversion is employed to perform this step. Furthermore, elastic parameters are inverted through linearized Bayesian AVO inversion as the second inversion method, and some posterior distribution for elastic parameters is proposed. Finally, the results of both inversion methods are compared and their advantages and shortages are discussed.