Arauzo-Bravo, Marcos J.

Gerovska, Daniela

Stavrev, Petar

Whaler, Kathryn

English

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.</p

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Automatic determination of depth on aeromagnetic proﬁles:Geophysics,36,717–722. Reid,A.B.,J.M.Allsop,H.Granser,A.J.Millet,andI.W.Somerton,1990, Magnetic interpretation in three dimensions using Euler deconvolution:

Automatic inversion of magnetic anomalies from two height levels using ﬁnite-difference similaritytransforms:Geophysics,71,no.6,L75–L86.

Degrees of homogeneity of potential ﬁelds and structural indices of Euler deconvolution:

Depth and shape estimates from simultaneous inversion of magneticﬁeldsandtheirgradientcomponentsusingdifferentialsimilarity transforms:GeophysicalProspecting,57,707–717.

EULDPH: A new technique for making computerassisteddepthestimatesfrommagneticdata:Geophysics,47,31–37.

Euler deconvolution using differential similarity transformations of gravity or magnetic anomalies:

Finite-difference Euler deconvolution algorithm applied to the interpretation of magnetic datafromnorthernBulgaria:PureandAppliedGeophysics,162,591–608.

Imaging magnetic sources using Euler’s equation: GeophysicalProspecting,50,15–25.

Inversion of elongated magnetic anomalies using magnitude transforms:GeophysicalProspecting,54,153–166.

Magnetic ﬁeld transforms with low sensitivity to the direction of source magnetization and high centricity: GeophysicalProspecting,48,317–340.

The historical development of the magnetic method in exploration:

Weighted Euler deconvolution of gravity data: Geophysics,63,1595–1603. Keating,P.,andM.Pilkington,2004,Eulerdeconvolutionoftheanalyticsignal and its application to magnetic interpretation: Geophysical Prospecting,52,165–182.

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

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

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