For thousands of other reports visit RSC's Mineral Intellingence Map
Noront Resources Ltd.
Summary
| Project: | Ring of Fire | |
|---|---|---|
| Deposit: | McFaulds | |
| Location: | Canada | |
| Commodities: | Copper-Zinc-Gold-Silver | |
| Date: | 6/4/2020 | |
| Report Code: | NI43-101 | |
| Report Type: | Optimisation Study | |
| Project Stage: | Pursuing Resource Increase/Upgrade | |
| Report details: | 4-6-2020: Noront Resources Ltd. announces a Optimisation Study report for its McFaulds deposit at the Ring of Fire project. Technical Report on the McFaulds Property. The McFaulds VMS property was previously held under a joint venture agreement between KW | |
| Resources: | (Resources): 0.85Mt @ 2.92% Cu, 1.67% Zn, 8.33g/t Ag, 0.31g/t Au (Ind.) & 4Mt @ 2.1% Cu, 1.4% Zn, 5.8g/t Ag, 0.2g/t Au (Inf.) | |
| CP/QP: | [Overall Report] Alan James Aubut (Sibley Basin Group Geological Consulting Services Ltd.) | |
| ABSTRACT: | The McFaulds VMS property was previously held under a joint venture agreement between KWG Resources (15%) and Cliffs (85%). In April of 2015 Noront Resources, through its wholly owned subsidiary Noront Muketei Minerals Ltd. (Noront), acquired all the interests previously held by Cliffs. The property is situated in the Porcupine Mining Division in area BMA 527861 (G-4306) and is located at about UTM 566,303 m E and 5,854,885 m N (Zone 16, NAD83), and is approximately 90 kilometres east of the community of Webequie (see Figure 4.1). The property consists of 1,043 standard and boundary cell claims covering an area approximately 17,496 hectares, and the VMS deposits cover a total of 11 standard cell claims covering an area of approximately 215 hectares (see Figure 4.2 and Figure 4.3). The claims were converted from ground-staked claims to map-based cell claims in April 2018 because of the | |
Full Report
opaxe is a smart software platform that reconfigures and redistributes information and produces business insights to help mining professionals and investors make better decisions. We utilise technology and machine learning for data collection and human intelligence for the value-added services.
Full Report