Distribution Fractal Modeling of Copper on lithology units in Jalalabad Iron ore deposit (Kerman province)

Javaherkalam, Pooyan; Jafari, Mohammad Reza; Afzal, Peyman; Lotfi, Mohammad

doi:10.22071/gsj.2025.544487.2224

Distribution Fractal Modeling of Copper on lithology units in Jalalabad Iron ore deposit (Kerman province)

Articles in Press

Document Type : Original Research Paper

Authors

Pooyan Javaherkalam ¹

Mohammad Reza Jafari ²

Peyman Afzal ³

Mohammad Lotfi ⁴

¹ Islamic Azad University, North Tehran Branch

² Department of Geology, North Tehran Branch, Islamic Azad University, Tehran, Iran.

³ Department of Petroleum and Mining, South Tehran Branch, Islamic Azad University, Tehran, Iran.

⁴ Department of Geology, Geological survey and mineral exploration of Iran

10.22071/gsj.2025.544487.2224

Abstract

Jalalabad iron ore deposit and copper mineralization associated with is located in 37 kilometers northwest of Zarand in Kerman Province. The aim of this research is to identify the anomalous subsurface copper and find its correlations with different rock units within the deposit. Of the total of 21 exploration boreholes in the western region of this deposit, in 7 boreholes, along with the analysis of iron and related elements, the amount of copper element has also been measured in 136 samples, the data obtained from which have been the basis for the investigations and calculations of the deep geochemical properties of copper element. Then, by drawing a Log-Log diagram, the mineralization communities have been separated and the limits of the anomalies have been determined. Analysis of the drill samples has led to the identification of an anomaly threshold of 870 ppm and copper-enriched areas. Using the results of multifractal modeling, the distribution models of grade and the anomaly communities have been identified separately. and the results indicate a strong relationship of copper anomalies with sandstone and siltstone units in association with magnetite, and the richest copper area with a grade of more than 1% at depth has been identified.

Keywords

Keywords: Iron

Copper

Concentration-Number fractal method

Distribution Model

Geochemistry

Jalalabad

Subjects