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A Generic 1D Forward Modeling and Inversion Algorithm for TEM Sounding with an Arbitrary Horizontal Loop

机译:任意水平环的TEM探测的通用一维正演建模和反演算法

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We present a generic 1D forward modeling and inversion algorithm for transient electromagnetic (TEM) data with an arbitrary horizontal transmitting loop and receivers at any depth in a layered earth. Both the Hankel and sine transforms required in the forward algorithm are calculated using the filter method. The adjoint-equation method is used to derive the formulation of data sensitivity at any depth in non-permeable media. The inversion algorithm based on this forward modeling algorithm and sensitivity formulation is developed using the Gauss-Newton iteration method combined with the Tikhonov regularization. We propose a new data-weighting method to minimize the initial model dependence that enhances the convergence stability. On a laptop with a CPU of i7-5700HQ@3.5 GHz, the inversion iteration of a 200 layered input model with a single receiver takes only 0.34 s, while it increases to only 0.53 s for the data from four receivers at a same depth. For the case of four receivers at different depths, the inversion iteration runtime increases to 1.3 s. Modeling the data with an irregular loop and an equal-area square loop indicates that the effect of the loop geometry is significant at early times and vanishes gradually along the diffusion of TEM field. For a stratified earth, inversion of data from more than one receiver is useful in noise reducing to get a more credible layered earth. However, for a resistive layer shielded below a conductive layer, increasing the number of receivers on the ground does not have significant improvement in recovering the resistive layer. Even with a down-hole TEM sounding, the shielded resistive layer cannot be recovered if all receivers are above the shielded resistive layer. However, our modeling demonstrates remarkable improvement in detecting the resistive layer with receivers in or under this layer.
机译:我们为瞬变电磁(TEM)数据提供了一种通用的一维正向建模和反演算法,该数据具有任意水平的发射回路和在分层地球中任意深度的接收器。正向算法中所需的汉克变换和正弦变换均使用滤波方法进行计算。伴随方程法用于推导非渗透性介质中任何深度的数据敏感性公式。利用高斯-牛顿迭代法与Tikhonov正则化相结合,开发了基于这种前向建模算法和灵敏度公式的反演算法。我们提出了一种新的数据加权方法,以最小化初始模型的依赖性,从而增强了收敛稳定性。在具有i7-5700HQ@3.5 GHz CPU的笔记本电脑上,具有单个接收器的200层输入模型的反演迭代仅需0.34 s,而对于来自四个深度相同的接收器的数据,其反演迭代仅需0.53 s。对于四个不同深度的接收器,反演迭代运行时间增加到1.3 s。用不规则回路和等面积正方形回路对数据进行建模表明,回路几何形状的影响在早期就很明显,并且随着TEM场的扩散而逐渐消失。对于分层地球,来自多个接收器的数据倒置有助于降低噪声,从而获得更可靠的分层地球。但是,对于在导电层下方屏蔽的电阻层,增加地面上接收器的数量在恢复电阻层方面没有显着改善。即使使用井下TEM探测,如果所有接收器都在屏蔽电阻层上方,则屏蔽电阻层也无法恢复。但是,我们的建模表明,在具有该层内或下层的接收器的情况下,检测电阻层具有显着的进步。

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