Abstract

A formula has been used based on least-squares minimization process to compute nature of source geometry and parameters from SP anomalies. A Flow-chart is described to implement the algorithm. The FORTRAN code has been perfected to develop an iterative process for picking up origin of the anomaly. The code has been tested over simulated SP anomaly with and without random noise over all three different models. These analyses reveal that the methodology can tolerate random error of 30% with acceptable errors in computed parameters. The stability of the method is evaluated by varying polarization angle and depth. An effect of depth to spacing ratio is also studied. Further applicability has been demonstrated through two field examples adopted from published literatures.