Mineral Prospectivity Mapping and Differential Metal Endowment Between Two Greenstone Belts in the Canadian Superior Craton
Open Access
- 21 December 2024
- journal article
- research article
- Published by Springer Nature in Natural Resources Research
- Vol. 34 (1) , 97-120
Abstract
Mineral prospectivity maps were produced for gold in two greenstone belts in the Superior geological province in Ontario, Canada, as part of the Metal Earth Project in the Laurentian University, Sudbury, Ontario. These maps, created using the random forest machine learning algorithm, cover the well-endowed Matheson area, which is in the Abitibi sub-province, and the less fertile Dryden area, which is in the Wabigoon sub-province. Newly identified areas for follow-up gold exploration are associated with major faults and 3D geophysical data comprising resistivity, density and susceptibility data. In addition, observations not used in mineral prospectivity mapping based on magnetotelluric, seismic and isotopic data may in part describe why the Matheson greenstone belt is more fertile with respect to gold mineralization than the Dryden greenstone belt. These observations suggest that the Matheson area has major transcurrent faults associated with conductive zones that reach the surface, many of which are associated with deeply penetrating, vertical faults. The isotopic signature of the Matheson crust also suggests it is juvenile, whereas the Dryden area is older.Keywords
This publication has 58 references indexed in Scilit:
- Forging isotopically juvenile metamorphic zircon from and within Archean TTG gneiss: Whole-rock Sr-Nd-Pb and zircon U-Pb-Hf-REE constraintsChemical Geology, 2022
- Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlookJournal of Geochemical Exploration, 2021
- On Archean craton growth and stabilisation: Insights from lithospheric resistivity structure of the Superior ProvinceEarth and Planetary Science Letters, 2021
- Practical Implementation of Random Forest-Based Mineral Potential Mapping for Porphyry Cu–Au Mineralization in the Eastern Lachlan Orogen, NSW, AustraliaNatural Resources Research, 2019
- Maximum Entropy and Random Forest Modeling of Mineral Potential: Analysis of Gold Prospectivity in the Hezuo–Meiwu District, West Qinling Orogen, ChinaNatural Resources Research, 2018
- Comparison of the Data-Driven Random Forests Model and a Knowledge-Driven Method for Mineral Prospectivity Mapping: A Case Study for Gold Deposits Around the Huritz Group and Nueltin Suite, Nunavut, CanadaNatural Resources Research, 2015
- Data-Driven Predictive Modeling of Mineral Prospectivity Using Random Forests: A Case Study in Catanduanes Island (Philippines)Natural Resources Research, 2015
- Support vector machine: A tool for mapping mineral prospectivityComputers & Geosciences, 2011
- The Lu–Hf and Sm–Nd isotopic composition of CHUR: Constraints from unequilibrated chondrites and implications for the bulk composition of terrestrial planetsEarth and Planetary Science Letters, 2008
- Potential field tilt—a new concept for location of potential field sourcesJournal of Applied Geophysics, 1994