F. Shirzaditabar; B. Oskooi; M. Bastani
Abstract
Airborne electromagnetic data can be obtained in time and frequency domains. In time domain, data consist of the time derivative of the secondary field while in frequency domain it is the absolute value of the secondary field. Here, we have used Occam’s inversion method on airborne electromagnetic ...
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Airborne electromagnetic data can be obtained in time and frequency domains. In time domain, data consist of the time derivative of the secondary field while in frequency domain it is the absolute value of the secondary field. Here, we have used Occam’s inversion method on airborne electromagnetic data to resolve the resistivity of each layer in an assumed 1D layered earth. In the current modeling the number of model parameters is much more than the number of data. So, by choosing an appropriate objective function to be minimized, we have used the least squares method such that model parameters reached to a minimum structure and data are sufficiently fitted. One of the advantages of this method is that it doesn’t need a primary model and converges to the final model for every starting model. Applying this method on synthetic data provides reasonable results. The method is applied on real airborne electromagnetic data from Kalat-e-Reshm area in the east of Semnan province in Iran. The recovered maps and sections prove the existence of an arc like structure which has outcrop at the surface and is shown in the geological map. Besides, it reveals that the structure is considerably thick due to the alluvium deposits with 10 m thickness covering the area with a dip towards south.
