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Three-dimensional inversion of two-dimensional magnetotelluric data

机译:二维大地电磁数据的三维反演

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In large-scale investigation of electrical structure, magnetotelluric (MT) survey is usually configured along profile orthogonal to regional strike direction. Therefore, two-dimensional (2D) inversion is now commonly used for the convenience of measurement and interpretation. However,our research suggests that 2D MT inversion considering only off-diagonal elements of impedance tensor can not provide off-profile structure which may sometimes imply the variation of resistivity parameter along the direction that parallels strike direction.In this paper, we process and invert 2D MT data set by 3D inversion program. We firstly eliminate the correlated noise caused by static effect employing moving window filtering in pseudo-section assisted by artificially recognizing the source of static effect on geology map and satellite image.After de-noising, MT data set becomes redundant for single reconstruction of resistivity model, so we split the whole data set into two distinct subsets and search their respective models independently. Covering the same model parameters in a particular area by repeating inversions, this is what we called "multiple coverage" of MT inversion which furnishes interpreters with more models and objective evaluation of reliability for the inversion.Our inversion results indicate that 3D MT inversion of 2D data is able to map the 3D distribution of resistivity on and off the profile; multiple coverage of MT inversion searches the best fitting models along distinct routes in model space and converges at the models close to each other; it also reveals the uncertainty of resistivity parameters in the area data set covers poorly.
机译:在电气结构的大规模调查中,大地电磁(MT)调查通常是沿着与区域走向垂直的剖面进行配置的。因此,为了方便测量和解释,现在通常使用二维(2D)反演。但是,我们的研究表明,仅考虑阻抗张量的斜对角元素的二维MT反演无法提供轮廓不均的结构,这有时可能暗示电阻率参数沿着与走向平行的方向发生变化。本文中,我们进行了处理和反演通过3D反演程序设置2D MT数据。首先通过人工识别伪影对地质图和卫星图像的影响,利用伪截面中的移动窗口滤波消除伪影引起的静噪相关噪声。去噪后,MT数据集对于单模电阻率模型的重建变得多余,因此我们将整个数据集分为两个不同的子集,并独立搜索它们各自的模型。我们通过重复反演来覆盖特定区域中的相同模型参数,这就是我们所说的MT反演的“多重覆盖”,它为解释人员提供了更多模型和反演可靠性的客观评估。我们的反演结果表明2D的3D MT反演数据能够在剖面上和剖面上绘制3D电阻率分布图; MT反转的多重覆盖范围沿着模型空间中不同的路径搜索最佳拟合模型,并在彼此靠近的模型上收敛;它也揭示了在面积数据集覆盖范围内电阻率参数的不确定性。

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