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Local Determination of Weak Anisotropy Parameters from qP-wave Slowness and Particle Motion Measurements

机译:从qP波慢度和质点运动测量结果中确定弱各向异性参数

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We propose an algorithm for local evaluation of weak anisotropy (WA) parameters from measurements of slowness vector components and/or of particle motions of qP waves at individual receivers in a borehole in a multi-azimuthal multiple-source offset VSP experiment. As a byproduct the algorithm yields approximate angular variation of qP-wave phase velocity. The formulae are derived under assumption of weak but arbitrary anisotropy and lateral inhomogeneity of the medium. The algorithm is thus independent of structural complexities between the source and the receiver. If complete slowness vector is determinable from observed data, then the information about polarization can be used as an independent additional constraint. If only the component of the slowness along the borehole can be determined from observations (which is mostly the case), the inversion without information about polarization is impossible. We present several systems of equations which can be used when different numbers of components of the slowness vector are available. The SVD algorithm is used to solve an overdetermined system of linear equations for WA parameters for two test examples of synthetic multiazimuthal multiple-source offset VSP data. The system of equations results from approximate first-order perturbation equations for the slowness and polarization vectors of the qP wave. Analysis of singular values and of variances of WA parameters is used for the estimation of chances to recover the sought parameters. Effects of varying number of profiles with sources and of noise added to "observed" data are illustrated. An important observation is that although, due to insufficient data, we often cannot recover all individual WA parameters with sufficient accuracy, angular phase velocity variation can be recovered rather well.
机译:我们提出了一种算法,用于在多方位角多源偏移VSP实验中,通过对速度矢量分量的测量和/或在井眼中各个接收器处的qP波的质点运动的测量来对弱各向异性(WA)参数进行局部评估。作为副产品,该算法产生qP波相速度的近似角度变化。这些公式是在假定介质具有弱但任意各向异性和横向不均匀性的前提下得出的。因此,该算法与源和接收器之间的结构复杂性无关。如果可以根据观测数据确定完整的慢度矢量,则可以将有关极化的信息用作独立的附加约束。如果只能通过观测来确定沿井眼的慢度分量(通常是这种情况),那么就不可能获得没有极化信息的反演。我们提出了几种方程组,当慢度矢量的分量数量不同时,可以使用这些方程组。 SVD算法用于为合成多方位多源偏移VSP数据的两个测试示例求解WA参数的超定线性方程组。方程组由qP波的慢度和极化矢量的近似一阶摄动方程得出。 WA参数的奇异值和方差分析用于估计恢复寻找的参数的机会。说明了随着来源变化的轮廓数量和“观察”数据中添加的噪声的影响。一个重要的观察结果是,尽管由于数据不足,我们经常无法以足够的精度恢复所有单独的WA参数,但是角相速度变化可以恢复得很好。

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