Validation of joint inversion of direct current and electromagnetic measurements

• Autorzy: Bała J. , Pięta A.
• Języki publikacji: EN

Abstrakty

EN

One of the ways to improve the information content of a set of field data is that of combining the interpretation of disparate data sets. Electromagnetic and direct current resistivity methods suffer from inherent equivalence problem. Application of joint inversion for these measurements can overcome the problem of equivalence very well. In the present work, synthetic data from vertical electrical sounding (VES) and horizontal coplanar low-frequency induction sounding (EMHD) are inverted individually and jointly over different types of 1D earth structures. Global optimization with Monte Carlo Multistart algorithm was used in the calculations. The results obtained from the inversions of synthetic data indicate that the joint inversion significantly improves the solution reducing the ambiguity of the models.

Słowa kluczowe

EN

joint inversion; electrical resistivity; Monte Carlo Multistart algorithm

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2010
• Tom: Vol. 58, no. 1
• Strony: 114--125
• Opis fizyczny: Bibliogr. 16 poz.

Twórcy

autor

Bała J.

autor

Pięta A.

• Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, Kraków, Poland,

Bibliografia

• Alpak, F.O., C. Torres-Verdin, and T.M. Habashy (2004), Joint inversion of transient pressure and dc resistivity measurements acquired with in-site permanent sensors: A numerical study, Geophysics 69, 1173-1191.
• Antoniuk, J. (2001), Adding corrections to apparent conductivity values measured in low-frequency induction profiling, Geologia 27, 625-639 (in Polish).
• Basokur, A.T. (1984), A numerical direct interpretation of resistivity sounding Rusing the Pekeris model, Geophys. Prosp. 32, 1131-1146.
• Bhattacharya, B.B., Shalivahan, and M.K. Sen (2003), Use of VFSA for resolution, sensitivity and uncertainty analysis in 1D DC resistivity and IP inversion, Geophys. Prosp. 51, 393-408.
• Ghosh, D.P. (1970), The application of linear filter theory to the direct interpretation of geoelectric resistivity measurements, Geophy. Prosp. 19, 192-217.
• Ghosh, D.P. (1971), Inverse filter coefficient for the computation of apparent resistivity sounding curves for a horizontally stratified Earth, Geophys. Prosp. 19, 769-775.
• Kaikkonen, P., and S.P. Sharma (1998), 2-D nonlinear joint inversion of VLF and VLF-R data using simulated annealing, J. Appl. Geophys. 39, 155-176.
• Koefoed, O. (1979), Geosounding Principles. 1: Resistivity Sounding Measurements, Elsevier Science Publ. Co., Amsterdam.
• Monteiro Santos, F.A., S.A. Sultan, P. Represas, and A.L. El Sorady (2006), Joint inversion of gravity and geoelectrical data for groundwater and structural investigation: Application to the northwestern part of Sinai, Egypt, Geophys. J. 165, 705-718.
• Pięta, A. (2007), Application of parallel computing in geoscience, PhD Thesis, AGH University of Science and Technology, Kraków (in Polish).
• Pięta, A., and J. Bała (2007), Analysis of parallel computing effectiveness in optimization problem of inversion of vertical electrical sounding, Papers of the Second Kraków Conference of the Young Scientists, 183-188 (in Polish).
• Press, W.H., B.P. Flannery, S.A. Teukolsky, and W.T. Vetterling (1988), Numerical Recipes in C: The Art of Scientific Computing, Cambridge University Press, Cambridge.
• Pszczoła, G., and A. Leśniak (2004), Non-linear optimization methods for small earthquake locations, TASK Quarterly 8, 583-590.
• Sharma, S.P., and P. Kaikkonen (1999), Appraisal of equivalence and suppression problems in 1D EM and DC measurements using global optimization and joint inversion, Geophys. Prosp. 47, 219-249.
• Verma, R.K. (1980), Equivalence in electromagnetic frequency sounding, Geophys. Prosp. 28, 776-791.
• Zhdanov, M.S., and G.V. Keller (1994), The Geoelectrical Methods in Geophysical Exploration, Elsevier, Amsterdam.