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Electromagnetic (EM) methods have been extensively used in geophysical investigations such as mineral and hydrocarbon exploration as well as in geological mapping and structural studies. In this paper, we developed an inversion methodology for Electromagnetic data to determine physical parameters of a set of horizontal layers. We conducted Forward model using transmission line method. In the inversion part, we solved multi parameter optimization problem where, the parameters are conductivity, dielectric constant, and permeability of each layer. The optimization problem was solved by simulated annealing approach. The inversion methodology was tested using a set of models representing common geological formations.
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Robert E.Collin, "Foundations for microwave engineering", 2nd ed., John Wiley & Sons, USA, 2001.
W.M. Telford, L.P. Geldart, and R.E. Sheriff, "Applied Geophysics", 2nd ed., Cambridge university press, USA, 1990.
John Milson, "Field Geophysics", 3rd ed., John Wiely & Sons, England, 2003.
E.M.T. Hendrix and B. G.-Tóth, "Introduction to Nonlinear and Global Optimization", Springer, 2010.
T. Weise, "Global Optimization Algorithms—Theory and Application", it-weise.de (self-published), 2009.
J. Dréo, A. Pétrowski, P. Siarry, E. Taillard, " Metaheuristics for Hard Optimization Methods and Case Studies", Springer, 2006.
L. Liberti and N. Maculan, "Global Optimization—From Theory to Implementation", Springer, 2006.
C. M. Tan, "Simulated Annealing", In-Tech, 2008.
R. Chibante, "Simulated Annealing: Theory with Applications", Sciyo, 2010.