Delineation of Gold Exploration Targets based on Prospectivity Models through an Optimization Algorithm

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Mostafaei Kamran; Kianpour Mohammad Nabi; Yousefi Mahyar

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Journal Paper

Paper Information

Journal: JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES) Year:2024 | Volume:15 | Issue:2 Page(s): 597-611

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Information Journal Paper

Title

Delineation of Gold Exploration Targets based on Prospectivity Models through an Optimization Algorithm

Author(s)

Mostafaei Kamran | Kianpour Mohammad Nabi | Yousefi Mahyar | Issue Writer Certificate

Keywords

Mineral Prospectivity MappingQ4

Gray Wolf algorithmQ4

Gold exploration targetsQ4

Abstract

Mineral Prospectivity Mapping (MPM) is a multi-staged process aiming at delimiting exploration targets. Experts’ knowledge is an indispensable component of MPM, and might be required (i) while translating signature features of ore-forming processes into a suite of maps, namely evidence layers, (ii) while assigning weights to evidence layers, and (iii) while interpreting maps of mineral prospectivity. The latter is important as MPM integrates weighted evidence layers into a continuous map of mineral prospectivity. Although high values in prospectivity maps pertain to prospective zones, maps of mineral prospectivity are devoid of interpretation. One, therefore, should adopt a classification scheme to categorize or prioritize exploration targets from a map of mineral prospectivity. In addition to previous frameworks applied for interpreting maps of mineral prospectivity, this paper introduces an optimization-based framework, the Gray Wolf Optimizer (GWO) algorithm, for addressing this problem. In addition to GWO, we also used percentile maps of 85, 90, and 95% for interpreting the results of our prospectivity model. These methods were applied to a fuzzy-based map of mineral prospectivity derived for the Alut area, NW Iran. Overall, the map derived by the GWO has involved more Au occurrences, 66% of explored Au occurrences by GWO versus 33% by percentile maps; also introduces more targets as high-potential zones of Au mineralization that may be neglected by traditional methods like percentile maps.

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