Transversely isotropic velocity analysis for lithology discrimination

Bok S Byun, Dennis Corrigan, James E Gaiser
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引用次数: 2

Abstract

This paper presents a practical technique for estimating the five stiffness coefficients A, C, F, L and M from seismic traveltime measurements for multiple, horizontally-layered, transversely isotropic media. This technique is based on the construction of ray velocity surfaces of elastic wave propagation in terms of five measurement parameters — three from a skewed hyperbolic moveout formula for P waves and two from SH waves. The skewed hyperbolic formula is used for analyzing moveout of signals on multi-channel P-wave surface seismic or VSP data. A model-iterative optimization scheme is then used to invert the five measurement parameters for the five stiffness coefficients in a layer-stripping mode.

Both synthetic model and field experiments are performed to demonstrate the feasibility of the method. Synthetic P-wave model experiments demonstrate that the skewed hyperbolic moveout formula yields an excellent fit to time-distance curves over a wide range of ray angles. The measurement parameters are shown to reflect adequately the characteristics of velocity dependency on ray angle, i.e., velocity anisotropy. Although inversion errors generally increase with increasing number of layers, the proposed method does provide a quantitative measure of velocity anisotropy as valuable additional information that can not be readily obtained from conventional methods. A field VSP data example is also provided to show the correlation between the anisotropy parameters with lithology. Chalk and shale exhibited high degrees of anisotropy, and sands showed low degrees of anisotropy.

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岩性判别的横向各向同性速度分析
本文提出了一种实用的方法,可以从多层水平层状横向各向同性介质的地震走时测量中估计出五个刚度系数a、C、F、L和M。该技术基于弹性波传播的射线速度曲面的构造,根据五个测量参数-三个来自P波的倾斜双曲移出公式,两个来自SH波。用偏斜双曲公式分析了多道p波地面地震或VSP资料的信号移差。然后,采用模型迭代优化方案反演了5个刚度系数的5个测量参数。通过综合模型和现场试验验证了该方法的可行性。合成纵波模型实验表明,倾斜双曲移出公式在大范围射线角范围内对时间-距离曲线有很好的拟合。测量参数充分反映了速度随射线角变化的特性,即速度各向异性。虽然反演误差通常随着层数的增加而增加,但该方法确实提供了速度各向异性的定量测量,这是传统方法难以获得的有价值的附加信息。给出了一个现场VSP数据实例,说明了各向异性参数与岩性之间的相关性。白垩、页岩各向异性程度高,砂岩各向异性程度低。
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