Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4457704 | Journal of Geochemical Exploration | 2012 | 11 Pages |
Recognition of different mineralized zones in an ore deposit is important for mine planning. This study aims to separate the different mineralized zones and the wall rock in the Zaghia iron ore deposit situated in central Iran using the number–size (N–S) and concentration–volume (C–V) fractal methods. The N–S model reveals three geochemical zones defined by Fe thresholds of 24% and 40%, with zones < 24% Fe representing weakly mineralized zones and wall rocks. The C–V model reveals four geochemical zones defined by Fe thresholds of 18%, 30% and 35%, with zones < 18% Fe representing non-mineralized wall rocks. Both the N–S and C–V models indicate that high grade mineralization is situated in the northern part of the ore deposit. The results of validation of the fractal models with the geological model show that the N–S fractal model of highly mineralized zones is better than the C–V fractal model of highly mineralized zones. However, results obtained by means of the C–V fractal model for weakly and moderately mineralized zones are more accurate than the zones obtained by means of the N–S fractal model.
► Application of C–V and N–S fractal models for identification of mineralized zones in iron ore deposits. ► Separation of various mineralized zones in the Zaghia (Central Iran) iron ore deposit by using fractal models. ► Comparison of results obtained from N–S and C–V modeling. ► Correlation of results from fractal models and geological characteristics.