1887
Volume 53, Issue 3
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

The application of fast semiautomatic techniques to magnetic data is very useful for data interpretation. A new automatic method is developed to use for 2D magnetic interpretation based on combinations of analytic signals of the logarithm of different order analytic signals (CALA method). The new method provides three linear equations for estimating the structural index, the horizontal location and the depth of magnetic source independently. The CALA method is sensitive to noise owing to using higher-order derivatives, and the upward continuation technique should be used for smoothing the magnetic anomaly. The CALA method successfully estimates the structural indices and positions of the sources when tested on synthetic noise-free and noise-added magnetic data, and has higher accuracy than the AN-EUL method and the method of the derivatives of the logarithm of the analytic signal amplitude. The satisfactory results are obtained by the new method on two real magnetic data sets.

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2022-05-04
2026-01-22
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References

  1. Abbas, M.A., and M.Fedi. 2014. Automatic DEXP imaging of potential fields independent of the structural index. Geophysical Journal International199: 1625–32.
    [Google Scholar]
  2. Aydin, I.2008. Estimation of the location and depth parameters of 2D magnetic sources using analytical signals. Journal of Geophysical and Engineering5: 281–9.
    [Google Scholar]
  3. Bastani, M., and L.B.Pedersen. 2001. Automatic interpretation of magnetic dyke parameters using the analytic signal technique. Geophysics66: 551–61.
    [Google Scholar]
  4. Cooper, G.R.J.2014. The automatic determination of the location and depth of contacts and dykes from aeromagnetic data. Pure and Applied Geophysics171: 2417–23.
    [Google Scholar]
  5. Cooper, G.R.J.2015. Using the analytic signal amplitude to determine the location and depth of thin dykes from magnetic data. Geophysics80: J1–J6.
    [Google Scholar]
  6. Cooper, G.R.J.2016. An improved method for determining the distance to magnetic sources. Pure and Applied Geophysics173: 1279–88.
    [Google Scholar]
  7. Cooper, G.R.J., and R.C.Whitehead. 2016. Determining the distance to magnetic source. Geophysics81: J25–J34.
    [Google Scholar]
  8. Cooper, G.R.J.2017. Determining the depth and location of potential field sources without specifying the structural index. Arabian Journal of Geoscience10 (438): 1–7.
    [Google Scholar]
  9. Debeglia, N., and J.Corpel. 1997. Automatic 3-D interpretation of potential field data using analytic signal derivatives. Geophysics62: 87–96.
    [Google Scholar]
  10. Fedi, M.2007. DEXP: A fast method to determine the depth and structural index of potential fields sources. Geophysics72 no. 1: I1–I11.
    [Google Scholar]
  11. Florio, G., and M.Fedi. 2014. Multiridge Euler deconvolution. Geophysics74: L53–L65.
    [Google Scholar]
  12. Gay, P.1963. Standard curves for interpretation of magnetic anomalies over tabular bodies. Geophysical Prospecting57: 479–89.
    [Google Scholar]
  13. Hsu, S.K., D.Coppens, and C.T.Shyu. 1998. Depth to magnetic source using the generalized analytic signal. Geophysics63: 1947–57.
    [Google Scholar]
  14. Ma, G.Q., and X.J.Du. 2012. An improved analytic signal technique for the depth and structural index from 2D magnetic anomaly data. Pure and Applied Geophysics169: 2193–200.
    [Google Scholar]
  15. Ma, G.Q., and L.L.Li. 2013. Depth and structural index estimation of 2D magnetic source using correlation coefficient of analytic signal. Journal of Applied Geophysics91: 9–13.
    [Google Scholar]
  16. Ma, G.Q., D.N.Huang, L.L.Li, and P.Yu. 2014. A normalized local wavenumber method for interpretation of gravity and magnetic anomalies. Chinese Journal of Geophysics57 no. 4: 1300–9.
    [Google Scholar]
  17. Macleod, I.N., K.Jones, and T.F.Dai. 1993. 3-D analytic signal in the interpretation of total magnetic field data at low magnetic latitudes. Exploration Geophysics24: 679–87.
    [Google Scholar]
  18. Nabighian, M.N.1972. The analytic signal of two-dimensional magnetic bodies with polygonal cross-section: Its properties and use for automated anomaly interpretation. Geophysics37: 507–17.
    [Google Scholar]
  19. Rao, D.A., H.V.R.Babu, and P.V.S.Narayan. 1981. Interpretation of magnetic anomalies due to dykes: The complex gradient method. Geophysics46: 1572–8.
    [Google Scholar]
  20. Salem, A., and D.Ravat. 2003. A combined analytic signal and Euler method (AN-EUL) for automatic interpretation of magnetic data. Geophysics68: 1952–61.
    [Google Scholar]
  21. Salem, A., D.Ravat, M.F.Mushayandebvu, and K.Ushijima. 2004. Linearized least-squares method for interpretation of potential-field data from sources of simple geometry. Geophysics69: 783–8.
    [Google Scholar]
  22. Salem, A.2005a. Interpretation of magnetic data using analytic signal derivatives. Geophysical Prospecting53: 75–82.
    [Google Scholar]
  23. Salem, A., D.Ravat, R.Smith, and K.Ushijima. 2005b. Interpretation of magnetic data using an enhanced local wavenumber (ELW) method. Geophysics70 no. 2: L7–L12.
    [Google Scholar]
  24. Smith, R.S., and A.Salem. 2005. Imaging depth, structure, and susceptibility from magnetic data: The advanced source-parameter imaging method. Geophysics70 no. 4: L31–L38.
    [Google Scholar]
  25. Srivastava, S., and B.N.P.Agarwal. 2010. Inversion of the amplitude of the two-dimensional analytic signal of the magnetic anomaly by the particle swarm optimization technique. Geophysical Journal International182: 652–62.
    [Google Scholar]
  26. Thurston, J.B., R.S.Smith, and J.C.Guillon. 2002. A multi-model method for depth estimation from magnetic data. Geophysics67 no. 2: 555–61.
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): estimation; interpretation; magnetics; sources; Two-dimensional

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