多属性多参数横波预测
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摘要
岩石物理理论模型是地震岩石物理研究的基础,通过对叠前反演中横波速度的应用,提出了横波速度曲线优化的估算方法,通过对PNN视神经网络算法以及非线性多属性参数的分析,解决了横波预测中误差较大的影响,研究结果为后续的叠前反演打下了很好的基础。
Theoretical model of rock physics is a foundation in study of seismic rock physics.Based on application of transverse wave velocity in prestack inversion,transverse wave velocity curve optimization estimation method is presented,and based on the PNN neural network algorithm and nonlinear multi attribute parameter analysis,the bigger influence of transverse wave prediction error is solved.The results provide very good foundation for the following prestack inversion.
引文
[1]孙福利,杨长春,麻三怀,等.横波速度预测方法.地球物理学进展,2008,23(2):470-474.
    [2]Greenberg M L,Castagna J P.Shear-wave velocity estimation in porous rocks:Theoretical formulation,prelimulation,preliminary verification and aplications.GeophysicalProspecting,1992,40(2):195-209.
    [3]Kuster G.T.and Toksoz M.N.1974.Velocity and attenuation of seismic waves in two phase media:Part1:Theoretical formulation.Geophysics39,587-606.
    [4]Xu S Y,White R E.A physicalmodel for shear-wave velocity predicting.Geophysical Prospecting,1996,44:687-717.
    [5]Jun Yan,Xiang-Yang L,i Enru Liu.Effects of pore aspect ratios on velocity prediction from well-log data.GeophysicalProspecting,2002,50,289-300.

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