无射线追踪的井间雷达层析反演

Fei Wang, Sixin Liu, Xinxin Qu
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引用次数: 1

摘要

我们实现了不带射线追踪的井间层析反演算法。提出了三种井间探地雷达初至资料行时反演的正则化方法,以估计速度结构。采用FMM算法展开波前。Vidale的方法是通过求解波前位置的eikonal方程来计算旅行时间,从而避免了追踪光线。采用迭代线性化反演方法进行速度估计。采用LSQR算法实现矩阵反演。建立了两个具有异常速度区的假设物理模型,并对所提出的方法进行了测试。通过对比三种加权算子的反演结果,可以看出该方法是一种有效的井间探地雷达走时反演方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crosshole radar tomographic inversion without ray tracing
We implemented crosshole tomographic inversion algorithm without ray tracing. We presented three types of regularization method for traveltime inversion of crosshole ground penetrating radar (GPR) first-arrival data to estimate velocity structure. FMM algorithm was used to expand wavefront. Vidale's method was used to calculate traveltimes by solving the eikonal equation for the position of the wavefront and thus avoided tracing rays. Velocity estimation was carried out by the iterative linearized inversion approach. Matrix inversion was implemented by using the LSQR algorithm. Two assumed physical models with abnormal velocity areas were built and we tested the suggested method on them. By comparing the results of three types of weighting operators, we can see that the proposed technique is an efficient traveltime inversion scheme for crosshole GPR data.
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