1887
Volume 43 Number 2
  • E-ISSN: 1365-2478

Abstract

Abstract

For the exploration of near‐surface structures, seismic and geoelectric methods are often applied. Usually, these two types of method give, independently of each other, a sufficiently exact model of the geological structure. However, sometimes the inversion of the seismic or geoelectric data fails.

These failures can be avoided by combining various methods in one joint inversion which feads to much better parameter estimations of the model than the independent inversions.

A suitable seismic method for exploring near‐surface structures is the use of dispersive surface waves: the dispersive characteristics of Rayleigh and Love surface waves depend strongly on the structural and petrophysical (seismic velocities) features of the near‐surface Underground.

Geoelectric exploration of the structure Underground may be carried out with the well‐known methods of DC resistivity sounding, such as the Schlumberger, the radial‐dipole and the two‐electrode arrays.

The joint inversion algorithm is tested by means of synthetic data. It is demonstrated that the geoelectric joint inversion of Schlumberger, radial‐dipole and two‐electrode sounding data yields more reliable results than the single inversion of a single set of these data. The same holds for the seismic joint inversion of Love and Rayleigh group slowness data. The best inversion result is achieved by performing a joint inversion of both geoelectric and surface‐wave data.

The effect of noise on the accuracy of the solution for both Gaussian and non‐Gaussian (sparsely distributed large) errors is analysed. After a comparison between least‐square (LSQ) and least absolute deviation (LAD) inversion results, the LAD joint inversion is found to be an accurate and robust method.

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2006-04-28
2020-04-06
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References

  1. BuchananD.J.1987). Dispersion calculations for SH and P‐SV waves in multilayered coal seams. Geophysical Prospecting35, 62–70.
    [Google Scholar]
  2. DasU.C. and GhoshD.P.1974). The determination of filter coefficients for the computation of standard curves for dipole resistivity sounding over layered earth by linear digital filtering. Geophysical Prospecting22, 765–780.
    [Google Scholar]
  3. DasU.C. and VermaS.K.1980). Digital linear filter for computing type curves for the two‐electrode system of resistivity sounding. Geophysical Prospecting28, 610–619.
    [Google Scholar]
  4. DobrokaM., GyulaiA., OrmosT., CsokasJ. and DresenL.1991). Joint inversion of seismic and geoelectric data recorded in an Underground coal mine. Geophysical Prospecting39, 643–665.
    [Google Scholar]
  5. GhoshD. P.1971). Inverse filter coefficients for the computation of apparent resistivity standard curves for a horizontally stratified earth. Geophysical Prospecting19, 769–775.
    [Google Scholar]
  6. GyulaiA.1990). Parameter sensitivity of Underground DC measurements. Geophysical Transactions35, 209–225.
    [Google Scholar]
  7. HoversteinG.M., DeyA. and MorrisonH.F.1982). Comparison of five least squares inversion techniques in resistivity sounding. Geophysical Prospecting30, 688–715.
    [Google Scholar]
  8. InmanJ.R.1975). Resistivity inversion with ridge regression. Geophysics40, 798–817.
    [Google Scholar]
  9. JuppD.L.B. and VozoffK.1975). Stable iterative method for the inversion of geophysical data. Geophysical Journal of the Royal Astronomical Society42, 952–976.
    [Google Scholar]
  10. KennettB.L.N.1976). The inversion of surface wave data. Journal of Pure and Applied Geophysics114, 747–751.
    [Google Scholar]
  11. KoderaK., de VilledaryC. and GendrinR.1976). A new method for the numerical analysis of non‐stationary signals. Physics of the Earth and Planetary Interiors12, 142–150.
    [Google Scholar]
  12. KoefoedO. 1979. Resistivity Sounding Measurements. Geosounding Principles 1. Elsevier Science Publishing Co.
    [Google Scholar]
  13. KoefoedO., GhoshD.P. and PolmanG.J.1972). Computation of type curves for electro‐magnetic depth sounding with a horizontal transmitting coil by means of digital linear filter. Geophysical Prospecting20, 406–420.
    [Google Scholar]
  14. LinesL., SchultzA.K. and TreitelS.1987. Cooperative inversion of geophysical data. 57th SEG meeting, New Orleans, Expanded Abstracts, 814–816.
  15. Meinardus, H.A.1970). Numerical interpretation of resistivity soundings over horizontalbeds. Geophysical Prospecting18, 415–433.
    [Google Scholar]
  16. Menke, W.1984. Geophysical Data Analysis: Discrete Znverse Theory. Academic Press, Inc.
    [Google Scholar]
  17. PetrickW.R., PeltonW.H. and WardS.H.1977). Ridge regression inversion applied to crustal resistivity sounding data from South Africa. Geophysics42, 995–1005.
    [Google Scholar]
  18. PilantW.L. and KnopoffL.1970). Inversion of phase and group slowness dispersion. Journal of Geophysical Research75, 2135–2136.
    [Google Scholar]
  19. RijoL., PeltonW.H., FeitosaE.C. and WardS.H.1977). Interpretation of apparent resistivity data from Apody Valley, Rio Grande do Norte, Brazil. Geophysics42, 811–822.
    [Google Scholar]
  20. ScalesJ.A., GerztenkornA., TreitelS. and LinesL.R.1988. Robust optimization methods in geophysical inverse theory. 58th SEG meeting, Anaheim, Expanded Abstracts, 827–830.
  21. SchwabF. and KnopoffL.1972. Fast surface wave and free mode computations. In: Methods in Computational Physics (eds B.Alder , S.Fernbach , M.Rotenberg ) 11, pp. 87–180, Academic Press Inc.
    [Google Scholar]
  22. VozoffK. and JuppD.L.B.1975). Joint inversion of geophysical data. Geophysical Journal of the Royal Astronomical Society42, 977–991.
    [Google Scholar]
  23. ZeyenH. and PousJ.1993). 3‐D joint inversion of magnetic and gravimetric data with a priori information. Geophysical Journal International112(2), 244–256.
    [Google Scholar]
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