ABSTRACT: AVO inversion is widely utilized in exploration geophysics, especially for reservoir prediction and fluid identification. Inverse operator estimation in trust region algorithm is applied for solving AVO inversion problem in which optimization and inverse directly are integrated . L1 norm constraint is considered on the basis of reasonable initial model in order to improve effciency and stability during AVO inversion process. In this study, high-order Zoeppritz approximation is utilized to establish the inversion objective function in which variation of with time is taken into consideration. Model test indicates that the algorithm has a relatively higher stability and accuracy than damp least-squares algorithm. Seismic data inversion is feasible and inversion values of three parameters ( Vp,Vs,dengsity) maintain good consistency with logging curves.
Keywords: AVO inversion; inverse operator estimation; trust region; variation of Vp/Vs
