Euler deconvolution (ED) has been one of the popularized interpretation techniques in magnetic prospecting, which is based on the well-known Euler’s equation and the concept of structural index (SI). It makes it flexible to implement calculation of parameters for typical types of geological bodies such as fault, magnetic boundary and dyke, and it has been widely applied to practical problems.
In the case of high-precision ground magnetic surveys, for several reasons such as topography, river flow, cliff, etc., raw field data are hardly given on a rectangular grid but collected along crooked profiles in general. Such data should be interpolated into a rectangular grid with availability of the ED technique; this may lead to a distortion of original data and erroneous analysis results.
Kim Il Hyok, a section head at the Faculty of Earth Science and Technology, proposed a new 2D & 3D Euler deconvolution scheme of magnetic data irregularly spaced on an uneven topographic surface.
The scheme first inverts the given irregular ground magnetic data to obtain subsurface equivalent sources, from which horizontal and vertical derivatives are calculated directly on the given data points. Then, it, based on the ED equation, simultaneously estimates the structural index (SI) and the window radius. Finally, the depth and position of a magnetic body are calculated based on the estimated structural index and the window radius.
He verified the validity of the proposed method via synthetic and field datasets. The method gives correct structural index and location even under moderate Gaussian noise, which demonstrated its accuracy and noise resistance.
You can find the details in his paper “Euler Deconvolution of Irregular Ground Magnetic Data” in “Proceedings of KUTIC-2025”.