Joint inversion method of formation shear-wave anisotropy from logging-while-drilling acoustic data

IF 0.7 4区 地球科学 Q4 GEOCHEMISTRY & GEOPHYSICS Applied Geophysics Pub Date : 2023-03-16 DOI:10.1007/s11770-022-0947-1
Jia-Cheng Li, Xiao He, Jiang Can
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Abstract

Most sedimentary formations with fine layers can be characterized as transversely isotropic media. The evaluation of shear-wave anisotropy is critical in logging-while-drilling (LWD) applications. We developed a joint method to simultaneously invert formation shear-wave anisotropy and vertical shear velocity using LWD monopole and dipole dispersion data. Theoretical analysis demonstrates that formation shear-wave anisotropy significantly affects the dispersion characteristics of Stoneley and formation flexural waves. The inversion objective function was constructed based on the change in dispersion characteristics and was weighted by the spectra of multipole waves. Numerical results using synthetic examples demonstrate that the joint inversion method can not only alleviate the non-uniqueness problem but also help improve the accuracy of the inversion results. The comparison of different signal-to-noise ratio inversion results proved that the weighted inversion method is more accurate and stable.

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随钻测井声波资料中地层剪切波各向异性的联合反演方法
大多数细层沉积地层可以被描述为横向各向同性介质。在随钻测井(LWD)应用中,剪切波各向异性的评价至关重要。我们开发了一种利用随钻测井单极子和偶极子色散数据同时反演地层剪切波各向异性和垂直剪切速度的联合方法。理论分析表明,地层横波各向异性对斯通利波和地层弯曲波的频散特性有显著影响。基于频散特性的变化构造了反演目标函数,并以多极波谱为权重。综合算例的数值结果表明,联合反演方法不仅可以缓解非唯一性问题,而且有助于提高反演结果的精度。通过对不同信噪比反演结果的比较,证明加权反演方法更准确、更稳定。
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来源期刊
Applied Geophysics
Applied Geophysics 地学-地球化学与地球物理
CiteScore
1.50
自引率
14.30%
发文量
912
审稿时长
2 months
期刊介绍: The journal is designed to provide an academic realm for a broad blend of academic and industry papers to promote rapid communication and exchange of ideas between Chinese and world-wide geophysicists. The publication covers the applications of geoscience, geophysics, and related disciplines in the fields of energy, resources, environment, disaster, engineering, information, military, and surveying.
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