Shape and depth solutions from moving average residual self-potential anomalies

Moving average residual self-potential anomalies obtained from self-potenti al data using filters of successive window lengths can be used to determine the shape (shape factor) and depth of a buried structure. For a fixed wind ow length, the depth is determined for each shape factor using a simple for mula. The computed depths are plotted against the shape factors representin g a continuous window curve. The solution for the shape and depth of the bu ried structure is read at the common intersection of the window curves. The validity of the method is tested on two synthetic examples and a field exa mple from Turkey.