摘要
Russell fluid factor is a sensitive indicator for deep reservoir fluid identification.Considering that the seismic data of deep reservoir is lack of large angle information and has low signal-noise-ratio,the Bayesian-based two term elastic impedance inversion and Russell fluid factor direct estimation method are carried out.Firstly,based on the saturated poroelastic media theory,we derive the two term reflection coefficient approximation in terms of Russell fluid factor and P-wave impedance,using which we get the new equation of elastic impedance containing the Russell fluid factor.Secondly,we analyze the precision and applicable condition of the new elastic impedance and the model test shows that it can satisfy the accuracy of small angle incidence.Finally,the Bayesian-based elastic impedance inversion and Russell fluid factor estimation procedure is introduced,the model tests illustrate that the direct estimation method can take full advantage of elastic impedance inversion to have high signal-noise-ratio and practicability,and furthermore,the direct estimation method can diminish negative effect of accumulative error.The real application shows that the direct estimated Russell fluid factor raise the reliability of the deep reservoir fluid identification.