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Volume 62, Issue 2
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Interpretation of magnetic data can be carried out either in the space or frequency domain. The interpretation in the frequency domain is computationally convenient because convolution becomes multiplication. The frequency domain approach assumes that the magnetic sources distribution has a random and uncorrelated distribution. This approach is modified to include random and fractal distribution of sources on the basis of borehole data. The physical properties of the rocks exhibit scaling behaviour which can be defined as () = , where P(k) is the power spectrum as a function of wave number (k), and and are the constant and scaling exponent, respectively. A white noise distribution corresponds to = 0. The high resolution methods of power spectral estimation e.g. maximum entropy method and multi‐taper method produce smooth spectra. Therefore, estimation of scaling exponents is more reliable. The values of are found to be related to the lithology and heterogeneities in the crust. The modelling of magnetic data for scaling distribution of sources leads to an improved method of interpreting the magnetic data known as the scaling spectral method. The method has found applicability in estimating the basement depth, Curie depth and filtering of magnetic data.

Copyright © 2014 European Association of Geoscientists & Engineers © 2013 European Association of Geoscientists & Engineers
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Modelling of magnetic data for scaling geology
Geophysical Prospecting 62, 385 (2014); https://doi.org/10.1111/1365-2478.12094
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  • Article Type: Research Article
Keyword(s): Fractals; Magnetic data analysis

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