首页> 外文会议>PIERS 2011 Suzhou;Progress in electromagnetics research symposium >Fast Parameterized Inversion of Multicomponent Induction Logging Data in Horizontally Layered TI Formation
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Fast Parameterized Inversion of Multicomponent Induction Logging Data in Horizontally Layered TI Formation

机译:水平分层TI地层中多组分感应测井数据的快速参数化反演

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We advance a fast parameterized inversion algorithm to simultaneously reconstruct the horizontal and vertical conductivities, the interface depth each bed from the multicomponent induction logging (MCIL) data in horizontal layered TI formations. Applying transmission line method (TLM) gives the analytic solution of tensor Green's function in the frequency-wavenumber domain. The perturbation equations are derived about the changes in responses of MCIL caused by perturbation in model parameters. The computations of the Sommerfeld integrals are solved by the cubic spline interpolation and the recursive formulae of Bessel function. As a result, it is set up the fast computation of the MCIL responses and their Frechet derivative with respective to all model vectors. Finally, we iteratively reconstruct all the model parameters to realized the best fit of the input logging data with the modeling data by the normalization of Frechet derivative and singular-value-decomposition (SVD). Theoretical inversion results validate the inversion method and its anti-noise ability.
机译:我们提出了一种快速的参数化反演算法,可同时从水平分层TI地层中的多组分感应测井(MCIL)数据中同时重建水平和垂直电导率,每个层的界面深度。应用传输线法(TLM)给出了张波格林函数在频率-波数域的解析解。推导了由模型参数的扰动引起的MCIL响应变化的扰动方程。 Sommerfeld积分的计算通过三次样条插值和Bessel函数的递归公式进行求解。结果,建立了针对所有模型向量的MCIL响应及其Frechet导数的快速计算。最后,我们通过对Frechet导数和奇异值分解(SVD)进行归一化,迭代地重建所有模型参数,以实现输入测井数据与建模数据的最佳拟合。理论反演结果验证了该反演方法及其抗噪能力。

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