Boundaries Determination in Potential Field Anomaly Utilizing Analytical Signal Filtering and its Vertical Derivative in Qeshm Island SE Iran

Geobody Estimation by Bhattacharyya Method Utilizing Nonlinear Inverse Modeling of Magnetic Data in Baba-Ali Iron Deposit, NW Iran

“…A new imaging method has been developed based on calculating the correlation coefficient of the analytic signals of the measured magnetic anomaly and the calculated response of some geometrically simple interpretive models of sheets, cylinders, and spheres. The scheme has been verified on some noise-free synthetic examples and recovered the actual model parameters (Hosseini et al, 2023;Mehanee et al, 2021). Furthermore, another new method using variance analysis has been developed by Essa et al (2021) for the interpretation of a magnetic anomaly profile by idealized-geometrical bodies.…”

“…Compared with the conventional method, the predicted distribution of magnetization intensity obtained using train a DNN model was more concentrated and had a better resolution to determine the boundary of the magnetic body (Hu et al, 2021). The application of the total intensity magnetic and reduced-to-pole maps, power spectrum, analytic signal, tilt-angle, and local wavenumber maps were used to allocate and describe the structural elements and mineralization zones such as uranium, gold, and sulfide in recognizing magnetic sources distribution, lineament features, and mineral zones (Essa et al, 2022;Hosseini et al, 2023). Recently, Standard Particle Swarm Optimization (SPSO) and Genetic Algorithm (GA) have been commonly used in the geophysical inversion.…”

“…Finally, as new research, a 3D inverse modeling procedure was applied to the Charmaleh Iron deposit magnetic data in Iran to obtain a valid anomaly edge perimeter. It focused on investigating the simultaneous application of 3D inversion and edge-detecting methods as a confirmation and completion tool for combining subsurface magnetic susceptibility distribution and surface anomaly projection (Ghiasi et al, 2023;Hosseini et al, 2023). The broad pursuit of conducting this study is to prepare and model magnetic data for proposed drilling sites in the Baba Ali Iron ore deposit in the Hamedan province of NW Iran, which iron ore geobody characteristics were not known heretofore.…”

Geobody Estimation by Bhattacharyya Method Utilizing Nonlinear Inverse Modeling of Magnetic Data in Baba-Ali Iron Deposit, NW Iran

“…A new imaging method has been developed based on calculating the correlation coefficient of the analytic signals of the measured magnetic anomaly and the calculated response of some geometrically simple interpretive models of sheets, cylinders, and spheres. The scheme has been verified on some noise-free synthetic examples and recovered the actual model parameters (Hosseini et al, 2023;Mehanee et al, 2021). Furthermore, another new method using variance analysis has been developed by Essa et al (2021a) for the interpretation of a magnetic anomaly profile by idealized-geometrical bodies.…”

“…Compared with the conventional method, the predicted distribution of magnetization intensity obtained using train a DNN model was more concentrated and had a better resolution to determine the boundary of the magnetic body (Ahumada et al, 2023;Hu et al, 2021). The application of the total intensity magnetic and reduced-to-pole maps, power spectrum, analytic signal, tilt-angle, and local wavenumber maps were used to allocate and describe the structural elements and mineralization zones such as uranium, gold, and sulfide in recognizing magnetic sources distribution, lineament features, and mineral zones (Essa et al, 2022;Hosseini et al, 2023).…”