Depth estimation and inversion modeling of ground magnetic data of Darreh-Ziarat Iron deposit, Kurdistan province

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

This research aims to investigate magnetic anomalies and Interpretation and modeling of 2D and 3D magnetic data of Iron mineralization at Darreh-Ziarat deposit in the Kurdistan province, West of Iran. For this purpose, more than 2000 survey stations were recorded. The magnetic survey has been done at profiles with a distance of 10 m and station distance of 10 m. After correcting raw data, RTP and upward continuation filters were applied to interpret magnetic data. In the next step, the anomaly depth was estimated by Euler and Euler-Analytical signal methods. The approach proposed by Li and Oldenburg was used to generate a 3D model of magnetic susceptibility property using MAG3D software. For this purpose, the study area was divided into 3D cells and one value of susceptibility was allocated to each cell. According to this model and other maps of magnetic interpretation, the mineralization trend was determined. Finally, Drilled boreholes were utilized to validate the 3D magnetic inversion model.

Language:
Persian
Published:
Journal of Mining Engineering, Volume:17 Issue: 56, 2022
Pages:
73 to 98
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