Airborne magnetic and pseudo-gravity data serve as essential tools in mineral exploration, offering three-dimensional insights into the distribution of subsurface physical properties and aiding in the delineation of ore zones and tectonic structures. In this study, a multi-method geophysical framework was applied to the Gol Gohar iron ore district to enhance the interpretation of complex subsurface signals. The approach integrates power spectrum analysis, multi-stage upward continuation filtering, tilt angle derivative mapping, and 3D inversion modeling. To evaluate the performance of these methods, synthetic dyke-like models were initially used to assess the separation of shallow and deep sources. Spectral analysis revealed that high-frequency components of the residual magnetic field are dominated by shallow sources (~300–600 m), while the pseudo-gravity spectrum emphasized deeper masses at depths of ~800–1000 m. Upward continuation, particularly at intermediate elevations, effectively suppressed near-surface anomalies and enhanced deeper bodies such as An1 and An3. Tilt derivative maps, especially those based on pseudo-gravity data, delineated structural edges with high clarity and minimal noise, enabling precise identification of geological boundaries.
Three-dimensional inversion of both datasets further confirmed these interpretations. High magnetic susceptibility volumes extended down to ~1500 m, while positive density anomalies reached depths beyond 2000 m. These overlapping spatial distributions suggest a common structural control by magnetite-bearing intrusions and iron-rich hydrothermal fluids. The integrated methodology demonstrated a superior capability to resolve vertical and lateral complexity compared to conventional approaches. Importantly, the pseudo-gravity transformation proved highly effective in enhancing edge detection and isolating deep-seated anomalies. The proposed workflow is not only applicable to Gol Gohar but is also transferable to other structurally complex mineralized zones, offering a robust framework for deep targeting in exploration geophysics.
Ansari, A. , Ahmady, A. E. and Mojtahedzadeh, S. H. (2025). Airborne Magnetic Data Analysis of Gol-Gohar Mining Complex, Sirjan. Journal of Analytical and Numerical Methods in Mining Engineering, (), -. doi: 10.22034/anm.2025.23140.1677
MLA
Ansari, A. , , Ahmady, A. E. , and Mojtahedzadeh, S. H. . "Airborne Magnetic Data Analysis of Gol-Gohar Mining Complex, Sirjan", Journal of Analytical and Numerical Methods in Mining Engineering, , , 2025, -. doi: 10.22034/anm.2025.23140.1677
HARVARD
Ansari, A., Ahmady, A. E., Mojtahedzadeh, S. H. (2025). 'Airborne Magnetic Data Analysis of Gol-Gohar Mining Complex, Sirjan', Journal of Analytical and Numerical Methods in Mining Engineering, (), pp. -. doi: 10.22034/anm.2025.23140.1677
CHICAGO
A. Ansari , A. E. Ahmady and S. H. Mojtahedzadeh, "Airborne Magnetic Data Analysis of Gol-Gohar Mining Complex, Sirjan," Journal of Analytical and Numerical Methods in Mining Engineering, (2025): -, doi: 10.22034/anm.2025.23140.1677
VANCOUVER
Ansari, A., Ahmady, A. E., Mojtahedzadeh, S. H. Airborne Magnetic Data Analysis of Gol-Gohar Mining Complex, Sirjan. Journal of Analytical and Numerical Methods in Mining Engineering, 2025; (): -. doi: 10.22034/anm.2025.23140.1677
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