Post-stack seismic impedance inversion method with multi-channel correlation under adaptive window
At present,the main way to improve the lateral continuity of inversion is still the regularization method based on the assumption of prior information of model parameters.When the prior information contra-dicts the actual situation,the regularization method will have problems.Therefore,based on the theory and method of multi-channel inversion,a post-stack seismic impedance inversion method with multi-channel correla-tion under an adaptive window is proposed.Firstly,using the idea of active learning,the position of key fea-tures of seismic data is screened by querying the original seismic data.Secondly,the seismic data are divided into time windows of different scales according to the above locations,which is helpful for fault information pro-tection and abnormal body boundary identification.Thirdly,the correlation between seismic traces in the adap-tive window is calculated according to the dot multiplication.Finally,the"weighted sum"seismic trace is used to obtain the reconstructed seismic trace,which is the constraint condition of the inversion objective function.With the help of the idea of active learning and local correlation of seismic data,the proposed method can better reflect the correlation between multiple channels in the adaptive window and can be processed in pa-rallel.The model test and the field data test show that the proposed method has good lateral continuity of inversion results,and can take into account the special structural information.However,the computational efficiency is low,and there are some limitations in the shallow and deep areas with large speed differences,making the proposed method suitable for narrow areas with special structures.
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