ARD-AVA inversion based gas-bearing prediction technologies and application
To further optimize AVA inversion technology,thus improving the accuracy of reservoir gas-bearing prediction,two key issues need to be addressed:the prior choice of inversion method and the choice of AVA in-version approximation and partial stack strategy.To this end,the variable specific values need to be estimated from different seismic channels by utilizing the hyper-parameters in automatic relevance determination(ARD)prior,rather than using fixed values(such as Gaussian prior and Cauchy prior)to constrain the inversion pro-cess.In this way,the lateral changes of reservoir geological features during the gas prediction can be better re-flected,and high-precision prediction results can be obtained.Two criteria(parameter sensitivity and condition number)are referred to during the selection of the AVA inversion approximation and partial stack strategy,and recommendations for AVA approximation and the choice of maximum,minimum,and angle intervals are given.The proposed ARD-AVA inversion method,AVA approximation,and partial stack optimal strategy have demonstrated great effects in the gas-bearing prediction of channel-type gas reservoir.By comparing the prediction result with traditional methods,the feasibility and advantages of the proposed method have been proved by combining well logging and production data.
AVA inversionautomatic relevancedetermination priorgas-bearing predictionriverchannelreservoir
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