Airborne Magnetic Data Analysis of Gol-Gohar Mining Complex, Sirjan

Document Type : Research Article

Authors

1 Faculty of Mining Engineering and Metallurgy, Yazd University

2 Engineering mine-Exploration, Yazd

3 Mining Engineering Department, Yazd University, Yazd, Iran

10.22034/anm.2025.23140.1677

Abstract

This study presents a comprehensive geophysical analysis of airborne magnetic and pseudo-gravity data from the Gol Gohar iron ore district in Iran. By integrating spectral analysis, upward continuation, tilt angle derivative mapping, and 3D inversion techniques, we aimed to better understand the distribution and depth of subsurface sources and to enhance the delineation of ore-related structures. Spectral results indicate that the magnetic field is dominated by shallow sources at depths between 300 and 600 meters (Spector & Grant, 1970), while the pseudo-gravity data suggest deeper contributions from sources located between 800 and 1000 meters (Ravat, 2007). Multi-level upward continuation effectively suppressed shallow noise and highlighted deeper anomalies, particularly anomalies An1 and An3 (Blakely, 1996). Tilt angle derivative maps, especially those derived from the pseudo-gravity field, provided sharp, noise-free boundaries of the main structures (Salem et al., 2008). Inversion modeling further revealed high-susceptibility volumes extending to about 1500 meters and positive-density anomalies reaching depths over 2000 meters (Li & Oldenburg, 1996). These overlapping zones suggest a common structural and magmatic control over the mineralization processes. The novelty of this work lies in its integrated approach, combining multiple geophysical filters and modeling techniques to build a more accurate and detailed subsurface image. This workflow demonstrates strong potential for application in similar mineral exploration contexts.

Keywords

Main Subjects

References

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Journal of Analytical and Numerical Methods in Mining Engineering
Volume 16, Issue 48 - Serial Number 48
October 2026
Pages 105-119

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History

  • Receive Date: 18 May 2025
  • Revise Date: 21 September 2025
  • Accept Date: 08 November 2025

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