Pre-stack Joint Inversion Based On The Reflectivity Method

Compared with the pre-stack inversion method based on the Zoeppritz equation and its approximation,the pre-stack inversion method based on the reflectivity method has a larger value in the inversion analysis of thin interbedded reservoirs and seismic records with wide incidence angle Advantage.However,the inversion method of reflectance method still has disadvantages when inverting actual seismic data.First of all,in the Bayesian inversion theory,the regularization term introduced must involve the statistical correlation of the three elastic parameters.When the noise is relatively strong,this correlation will make the inversion result deviate from the constraint of the seismic record and make the resolution ratio drops.This paper introduces a decorrelation algorithm,which can effectively improve the resolution of the inversion results by removing the statistical correlation between the elastic three parameters;Secondly,the traditional inversion method is usually performed on a channel-by-channel basis,resulting in insufficient lateral continuity of the profile.In this paper,by extending the parameter matrix,multiple inversions of seismic data are realized,which can significantly improve the lateral continuity of the inversion profile;Finally,the usual reflectivity method inversion method is only an analysis of PP wave seismic records,and the density parameters obtained are often not accurate enough.In this paper,the research of pre-stack joint inversion based on reflectance method is realized.The joint inversion method can make full use of PS wave seismic records full of density information,which can effectively improve the resolution of inversion.At the same time,in this paper,decorrelation algorithms and multi-channel inversion are added to the joint inversion.The test results show that the optimized joint inversion method improves the accuracy and noise immunity of the inversion,and enhances the lateral continuity of the inversion profile Has a lot of advantages.