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Rock-physics constrained seismic anisotropy parameter estimation
Geophysics ( IF 3.0 ) Pub Date : 2021-07-23 , DOI: 10.1190/geo2019-0153.1
Fuyong Yan 1 , De-Hua Han 1 , Qiuliang Yao 1
Affiliation  

Compared with isotropic media, at least two extra parameters are involved in common P-wave seismic data processing and interpretation for transversely isotropic media. Previous synthetic model testing has shown that it is challenging to estimate anisotropy parameters even using extremely low noise level seismic data from a simple geologic setting. Although theoretically independent, anisotropy parameters are not free variables for organic-rich mudrocks whose elastic properties are often approximated by transverse isotropy. One potential approach to improve the accuracy in the estimated anisotropy parameters is to consider the physical relationships between them during the inversion process. To test this proposition, we first modify a commonly used nonhyperbolic reflection moveout equation as a function of the interval anisotropy velocities so that rock-physics constraints could be effectively applied to each layer. The rock-physics constraints are established from data analysis of selected laboratory anisotropy measurement data. The laboratory data are then used to parameterize hundreds of 15-layer transverse isotropy models using a Monte Carlo simulation. The synthetic model testing indicates that the accuracy of the estimated anisotropy parameters can be improved if the relationships between the anisotropy parameters are considered during the inversion process.

中文翻译:

岩石物理约束地震各向异性参数估计

与各向同性介质相比,横向各向同性介质在普通纵波地震数据处理和解释中至少涉及两个额外参数。先前的合成模型测试表明,即使使用来自简单地质环境的极低噪声级地震数据估计各向异性参数也具有挑战性。尽管理论上独立,但对于富有机质泥岩来说,各向异性参数并不是自由变量,其弹性特性通常由横向各向同性近似。提高各向异性参数估计精度的一种潜在方法是在反演过程中考虑它们之间的物理关系。为了检验这个命题,我们首先将常用的非双曲反射时差方程修改为区间各向异性速度的函数,以便岩石物理约束可以有效地应用于每一层。岩石物理约束是根据选定的实验室各向异性测量数据的数据分析建立的。然后使用实验室数据通过蒙特卡罗模拟对数百个 15 层横向各向同性模型进行参数化。综合模型试验表明,在反演过程中考虑各向异性参数之间的关系,可以提高各向异性参数估计的精度。然后使用实验室数据通过蒙特卡罗模拟对数百个 15 层横向各向同性模型进行参数化。综合模型试验表明,在反演过程中考虑各向异性参数之间的关系,可以提高各向异性参数估计的精度。然后使用实验室数据通过蒙特卡罗模拟对数百个 15 层横向各向同性模型进行参数化。综合模型试验表明,在反演过程中考虑各向异性参数之间的关系,可以提高各向异性参数估计的精度。
更新日期:2021-07-24
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