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首页> 外文期刊>American journal of applied sciences >Depth Estimation of 2-D Magnetic Anomalous Sources by Using Euler Deconvolution Method | Science Publications
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Depth Estimation of 2-D Magnetic Anomalous Sources by Using Euler Deconvolution Method | Science Publications

机译:欧拉反卷积方法估算二维磁异常源的深度科学出版物

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> Euler deconvolution method is the method of depth estimation which is best suited for anomalies caused by isolating and multiple anomalous sources. In the present study, algorithmic programs based on generalizing linear inverse theory, uses a least square sense to solve for Euler’s equation is being written. The Euler technique that can estimate the location of a simple body from measurements of the magnetic field could be applied to a long profile of measurements, by dividing the profile into the windows of consecutive measurements, each window providing a single estimate of depth and source location. Acceptable solutions for features of interest may involve some trial and error by adjusting the structural index and the window size. When all such measurements are plotted they tend to cluster around magnetization of geologic interest. Some indication of the source type can be gained by varying the structural index for any particular feature. Shallow features can be deconvolved well by using small window to reduce source interference. By using n = 1 and n = 1. 5, and deconvolved with small window sizes, our program yields good tight clustering and acceptable depths of the anomalous igneous body located along aeromagnetic profile in the south of Amenzi area, Inner Mongolia, North China. The depths obtained by using the structural index of n = 1. 5 varying between 700-900 m. The method yielded useful solutions with an acceptable depth estimate.
机译: >欧拉反卷积方法是一种深度估计方法,最适合于隔离和多个异常源引起的异常。在本研究中,基于广义线性逆理论的算法程序使用最小二乘意义求解欧拉方程。通过将电磁场的测量结果划分为连续测量的窗口,可以从磁场的测量结果中估计简单物体位置的欧拉技术可以应用于较长的测量过程,每个窗口都提供深度和源位置的单个估计值。通过调整结构索引和窗口大小,可接受的感兴趣特征的解决方案可能会涉及一些反复试验。当绘制所有这些测量值时,它们倾向于聚集在感兴趣的地质磁化附近。可以通过更改任何特定功能的结构索引来获得源类型的某些指示。通过使用小窗口来减少源干扰,可以很好地分解浅层特征。通过使用n = 1和n = 1,5,并在较小的窗口尺寸下进行反卷积,我们的程序产生了良好的紧密聚类,并且在中国北方的内蒙古阿门兹地区南部沿航空磁剖面分布的异常火成岩体具有可接受的深度。通过使用n =1。5的结构指数获得的深度在700-900 m之间变化。该方法产生了具有可接受深度估计的有用解决方案。

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