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Airborne transient electromagnetic surveying provides data sections with a sufficient coverage to perform 2D imaging of electrical conductivity within the ground. Full 2D inversion using numerical modeling with finite differences or finite elements is still a time-consuming method to process the large amount of data acquired during an airborne survey. We present a new 2D interpretation strategy and apply it on synthetic data. The results show that this method produces satisfying outcomes with a small computation time cost.