摘要
Comparing with post-stack data, the pre-stack seismic data contains more information of the underground stratigraphic characteristics. By using AVO information and solving the approximate formula of Zoeppritz equation, pre-stack inversion can get elastic parameters directly, including density, vp and vs. That can improve our understanding of the underground geology greatly. Pre-stack seismic inversion, being essentially a nonlinear problem, was mostly solved approximatively by linear methods at present, which reduces the precision of seismic inversion. Based on Aki-Richards approximate formula, the paper proposed a reverse weighted method to balance the response difference caused by each parameter coefficient, and introduced quantum Monte Carlo method, with st solution, into the pre-stack inversion improve the precision of pre-stack characterization. The numerical simulat rong nonlinear search ability to seek t for solving nonlinear equations direc inversion and the ability of quan ion and examples both denote that this he global optimal tly, which could titative reservoir method has high calculation accuracy and good stability.