Depth Estimation of Microgravity Anomalies Sources by Means of Regularized Downward Continuation and Euler Deconvolution

摘要

Apowerful toll in the estimation of potential field source depths is given by the analytical downward continuation of the measured field - down to the depth of the first important shallow sources. On the other hand, analytical downward continuation is an highly instable problem and one effective way for its solution is Tikhonov regularization. Combination with the Derivative Euler Deconvolution can effectively help in the estimation of the depths to the centres of researched near-surface microgravity anomaly sources. This was presented on one selected synthetic model studies and one real data application. In some situations the estimations from Euler deconvolution are deeper, in some shallower, on the present we are not able to explain this aspect. Experiences with the regularized downward continuation show its very low dependence on grid extent and the grid cells sizes. Derivative Euler Deconvolution has showed large sensitivity to the precise evaluation of the initial vertical derivative – it has to be smoothed or damped in the case of real data interpretation (where noise and acquisition errors are present).