Estimating the Mineral Mass Volume of the Ileh Region by Magnetic Field Analysis and Pseudo-Gravity Data Inversion Using the Improved Global Particle Swarm Optimization Algorithm

In the current research, the buried causative body of a magnetic field anomaly was modeled using Encom ModelVision software and its depth was estimated using deconvolution Euler and energy power spectrum methods. The magnetic data of Iileh region of Taybad city was used for modeling. In addition, an optimization algorithm was explained as the Improved Global Particle Swarm Optimization (IGPSO). The obtained results showed IGPSO is acceptably resistant to the corrupted synthetic gravity data by noise. Using this optimization algorithm, the pseudo-gravity data of Iileh region was analyzed to determine the structural parameters of the causative body of the anomaly such as depth, radius, density contrast, origin point coordinate and shape factor. The determined shape of the causative body of the anomaly was a sphere with a radius of 56.2 m and a density contrast of 1.93 gr/cm3. The estimated depths of the center of the sphere by Encom ModelVision software and IGPSO method were 120 m and 111.8 m, respectively. While the drilling results in this area shows an average depth of 103.2 m for the center of the iron mineral body. This indicates the introduced IGPSO method obtained better results.