Two-sided fault parameter assessment through the utilization of a particle swarm optimizer to different gravity horizontal gradients-orders with application to various cases studies

Metaheuristic methods are increasingly being implemented to source parameter estimation of gravity anomalies. These approaches have become popular in the geophysical community because of their superior advantages. We emphasize the application of the particle swarm optimizer (PSO), which is motivated by the birds’ behaviors, to elucidate gravity anomalies. Besides, using different horizontal derivative orders for the observed data is valuable in reducing the regional field effect. The current inversion algorithm applied to other synthetic models (a two-sided dipping fault with a third-order regional, a two-sided dipping fault model interfered by a spherical structure model with and without 10% noise, and two neighboring two-sided dipping faults models with and without 10% noise) as well as two real-world cases from the United States and Tunisia. The usefulness of applying these techniques together was demonstrated by providing stable results in executing the buried source parameters and eradicating the regional field effect. Therefore, we recommend the application of these techniques in the model parameter estimation studies performed with potential field anomalies due to mineralized zones.