*Combined Gravity or Self-Potential Anomaly Formula for Mineral Exploration DOI: http://dx.doi.org/10.5772/intechopen.92139*

as follows: first, the least-squares approach is applied to interpret the self-potential data using various s-values for the three suggested shape bodies, i.e., *q* = 0.5, *q* = 1.0, and *q* = 1.5, after that the RMS is calculated to execute the best-fit parameters (happens at the lowest RMS) (**Table 3**). Secondly, the Werner deconvolution approach is utilized to infer the same self-potential data using 11 clustered solutions to determine in the average evaluated depth (4.9 m) (**Figure 5**). Third step: the particle swarm method is applied to obtain the parameters (**Table 4**). Besides, a 10% random noise was added to this data (**Figure 3**) to test the efficiency of the suggested approaches in interpretation. Furthermore, the results from applying the three approaches are mentioned in **Table 3** (the least-squares approach results), **Figure 5** (Werner deconvolution results), and **Table 4** (the particle swarm results). Finally, the estimated parameters are in all case are in good agreement with the actual parameters.
