Research Article Open Access

Depth Estimation of 2-D Magnetic Anomalous Sources by Using Euler Deconvolution Method

M. G.E. Dawi, Liu Tianyou, Shi Hui and Luo Dapeng


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.

American Journal of Applied Sciences
Volume 1 No. 3, 2004, 209-214


Submitted On: 11 May 2005 Published On: 30 September 2004

How to Cite: Dawi, M. G., Tianyou, L., Hui, S. & Dapeng, L. (2004). Depth Estimation of 2-D Magnetic Anomalous Sources by Using Euler Deconvolution Method . American Journal of Applied Sciences, 1(3), 209-214.

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  • Euler Deconvolution
  • Structural Index
  • Window Size
  • Amenzi Area