MaGSoundDST-3D automatic inversion of magnetic and gravity data based on the differential similarity transform

Daniela Gerovska, Marcos J. Arauzo-Bravo, Petar Stavrev, Kathryn Whaler

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

We present an automatic procedure - Magnetic And Gravity SOUNDing Differential Similarity Transform (MaGSoundDST) - for inversion of regular or irregular magnetic- and gravity-grid data measured on even or uneven surfaces. It solves for horizontal position, depth, and structural index of simple sources and is independent of a linear background. In addition, it estimates the shape of sources consisting of several singular points and lines. The method uses the property of the differential similarity transform (DST) of a magnetic or a gravity anomaly to become zero or linear at all observation points when the central point of similarity of the transform, which we refer to as the probing point, coincides with a source's singular point. It uses a measured anomalous field and its calculated or measured (gradiometry) first-order derivatives. The method is independent of the magnetization-vector direction in the magnetic data case and does notrequire reduction-to-the-pole transformed data as input. With MaGSoundDST, we provide an important alternative interpretation technique to the Euler deconvolution procedures, combining a moving-window method, whereby the solutions are linked to singular points of causative bodies, with an approach in which the solutions are linked to the real sources. The procedure involves calculating a 3D function that evaluates the linearity of the DST for different integer or noninteger structural indices, using a moving window. We sound the subsurface along a vertical line under each window center. Then we combine the 3D results for different structural indices and present them in three easy-to-interpret maps, avoiding the need for clustering techniques. We deduce only one solution for location and type of simple sources, which is a major advantage over Euler deconvolution. Application to different cases of synthetic and real data shows the method's applicability to various types of magnetic and gravity field investigations.

Original languageEnglish
Pages (from-to)L25-L38
Number of pages14
Issue number1
Publication statusPublished - 2010

Keywords / Materials (for Non-textual outputs)

  • deconvolution
  • geomagnetism
  • geophysical signal processing
  • geophysical techniques
  • gravity


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