Prestack ***A inversion for pore fluid modulus based on the Bayesian theory--《Geophysical Prospecting for Petroleum》2015年04期
Prestack ***A inversion for pore fluid modulus based on the Bayesian theory
Li CYin XZhang GLiu QZhang SCollege of Geosciences,China University of PCNOOC Research I
Pore fluid modulus is an extremely sensitive fluid indicator.It is significant to estimate pore fluid modulus for reservoir fluid discrimination in seismic scale.Based on the poroelastic theory,a Zoeppritz approximation equation containing the pore fluid modulus is derived.Then in the theoretical framework of Bayesian theory,we assume that the prior distribution can be modelled via the four-variable Cauchy distribution and the likelihood function follows the Gaussian distribution.The objective function of prestack ***A inversion is constructed containing the regularized constraint.A synthetic data test shows that the estimation of pore fluid modulus with this method improves the accuracy of fluid identification,and the application results of actual seismic data demonstrates its effectiveness and practicability.
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