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Article

Applying Mineral System Criteria to Develop a Predictive Modelling for Epithermal Gold Mineralization in Northern New Brunswick: Using Knowledge-Driven and Data-Driven Methods

by
Farzaneh Mami Khalifani
1,*,
David R. Lentz
1,
James A. Walker
2 and
Fereshteh Khammar
3
1
Department of Earth Science, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
2
New Brunswick Department of Natural Resources and Energy Development, South Tetagouche, NB E2A 7B8, Canada
3
Department of Geosciences and Geography, Research Programme of Geology and Geophysics (GeoHel), University of Helsinki, 00014 Helsinki, Finland
*
Author to whom correspondence should be addressed.
Minerals 2025, 15(4), 345; https://doi.org/10.3390/min15040345
Submission received: 12 February 2025 / Revised: 22 March 2025 / Accepted: 23 March 2025 / Published: 27 March 2025

Abstract

Using mineral prospectivity mapping (MPM), the mineral systems approach enables the identification of geological indicators linked to ore formation. This approach streamlines exploration by minimizing the time and cost required to identify areas with the highest mineral potential. With its extensive till cover and dense forests limiting bedrock exposure, New Brunswick provides an ideal environment to test this approach. The New Brunswick portion of the Canadian Appalachians hosts a diverse range of gold deposits and occurrences that formed during various stages of the Appalachian orogeny. In northern New Brunswick and the adjacent Gaspé Peninsula, the Tobique–Chaleur Zone contains several orogenic and epithermal gold systems that are closely associated with a large-scale crustal fault and its offshoots, i.e., the long-lived trans-crustal Rocky Brook–Millstream Fault system. To identify favorable zones for epithermal gold mineralization in northwestern New Brunswick, this study employed MPM by translating key mineral system components—such as ore metal sources, fluid pathways, traps, and geological controls—into mappable criteria for regional-scale analysis. The data were modeled through the integration of knowledge-based and data-driven methods, including fuzzy logic, geometric average, and logistic regression approaches. The concentration–area (C–A) fractal model was applied to reclassify the final maps based on prospectivity values obtained from these three approaches, dividing the mineral prospectivity maps into six classes, with threshold values emphasizing high-favorability zones. The fuzzy overlay model had the highest predictive accuracy (AUC 0.97), followed by the geometric average model (AUC 0.93), whereas the logistic regression identified more tightly constrained high-potential zones. In the prospectivity models, known epithermal gold mineralization consistently overlaps with regions of high favorability. This suggests a positive result from the use of MPM, indicating that this approach could be applicable to other regions and types of ore deposits.
Keywords: mineral prospectivity mapping; epithermal gold mineralization; fuzzy logic; geometric average; logistic regression mineral prospectivity mapping; epithermal gold mineralization; fuzzy logic; geometric average; logistic regression

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MDPI and ACS Style

Mami Khalifani, F.; Lentz, D.R.; Walker, J.A.; Khammar, F. Applying Mineral System Criteria to Develop a Predictive Modelling for Epithermal Gold Mineralization in Northern New Brunswick: Using Knowledge-Driven and Data-Driven Methods. Minerals 2025, 15, 345. https://doi.org/10.3390/min15040345

AMA Style

Mami Khalifani F, Lentz DR, Walker JA, Khammar F. Applying Mineral System Criteria to Develop a Predictive Modelling for Epithermal Gold Mineralization in Northern New Brunswick: Using Knowledge-Driven and Data-Driven Methods. Minerals. 2025; 15(4):345. https://doi.org/10.3390/min15040345

Chicago/Turabian Style

Mami Khalifani, Farzaneh, David R. Lentz, James A. Walker, and Fereshteh Khammar. 2025. "Applying Mineral System Criteria to Develop a Predictive Modelling for Epithermal Gold Mineralization in Northern New Brunswick: Using Knowledge-Driven and Data-Driven Methods" Minerals 15, no. 4: 345. https://doi.org/10.3390/min15040345

APA Style

Mami Khalifani, F., Lentz, D. R., Walker, J. A., & Khammar, F. (2025). Applying Mineral System Criteria to Develop a Predictive Modelling for Epithermal Gold Mineralization in Northern New Brunswick: Using Knowledge-Driven and Data-Driven Methods. Minerals, 15(4), 345. https://doi.org/10.3390/min15040345

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