Estimation of 2D magnetic-source parameters using analytic signals of the logarithm of different order analytic signals

The application of fast semiautomatic techniques to magnetic data is very useful for data interpretation. A new automatic method is developed to use for 2D magnetic interpretation based on combinations of analytic signals of the logarithm of different order analytic signals (CALA method). The new method provides three linear equations for estimating the structural index, the horizontal location and the depth of magnetic source independently. The CALA method is sensitive to noise owing to using higher-order derivatives, and the upward continuation technique should be used for smoothing the magnetic anomaly. The CALA method successfully estimates the structural indices and positions of the sources when tested on synthetic noise-free and noise-added magnetic data, and has higher accuracy than the AN-EUL method and the method of the derivatives of the logarithm of the analytic signal amplitude. The satisfactory results are obtained by the new method on two real magnetic data sets.