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Fast and stable two-dimensional inversion of magnetotelluric data.

机译:大地电磁数据的快速稳定的二维反演。

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The two-dimensional (2-D) magnetotelluric (MT) inverse problem still poses difficult challenges in spite of efforts to develop fast and efficient methods for its solution. In this work, a new approach based on regularization theory and the quasi-analytic calculation of the Frechet derivatives is presented. For the forward solution, a fast and efficient finite difference formulation to the solution of the MT equations in both transverse electric (TE) and transverse magnetic (TM) modes based on the balance method is used. The Frechet derivative matrix is obtained as a solution to simple forward and back substitution of the LU decomposed matrix of coefficients from the forward problem utilizing the principle of reciprocity. The magnetotelluric inverse problem is ill-posed. In order to constrain the solution to a set of acceptable models, Tikhonov regularization is applied based on the minimization of a parametric functional. The regularized cojugate gradient method is then utilized to minimize the parametric functional. Inversion results of a set of synthetic data and of a set of CSAMT data from Kennecott Exploration show that the method is fast, stable and produces geologically reasonable models.
机译:尽管努力开发快速有效的解决方法,但二维(2-D)大地电磁(MT)反问题仍然提出了艰巨的挑战。在这项工作中,提出了一种基于正则化理论和Frechet导数的准解析计算的新方法。对于正解,使用基于平衡法的快速有效的有限差分公式表示横向电(TE)和横向磁(TM)模式下MT方程的解。使用倒数原理,从前向问题中获得Frechet导数矩阵作为对系数的LU分解矩阵进行简单正向和反向替换的解决方案。大地电磁反问题是不恰当的。为了将解决方案约束到一组可接受的模型,基于参数函数的最小化应用了Tikhonov正则化。然后,使用正则共轭梯度法来最小化参数函数。肯尼科特勘探公司(Kennecott Exploration)的一组合成数据和一组CSAMT数据的反演结果表明,该方法快速,稳定并且生成了地质上合理的模型。

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