For thousands of other reports visit RSC's Mineral Intellingence Map
Nuinsco Resources Ltd.
Summary
| Project: | Prairie Lake | |
|---|---|---|
| Deposit: | Prairie Lake | |
| Location: | Canada | |
| Commodities: | Rare Earth-Niobium-Tantalum | |
| Date: | 6/19/2019 | |
| Report Code: | NI43-101 | |
| Report Type: | Exploration/Drilling Update | |
| Project Stage: | Pursuing Resources Definition | |
| Report details: | 19-6-2019: Nuinsco Resources Ltd. announces an Exploration/Drilling Update report for its Prairie Lake deposit at the Prairie Lake project. Sampling results from 2017 drilling incl. 27.4m @ 1934g/t ∑REE. Toronto, June 19, 2019 – Nuinsco Resources L | |
| Resources: | x | |
| CP/QP: | [Overall Report]: Laura Giroux (Internal) | |
| ABSTRACT: | Toronto, June 19, 2019 – Nuinsco Resources Limited (“Nuinsco” or “the Company”) (CSE: NWI) is pleased to announce results for previously unsampled drill core from the 2007 drilling program at its 100%‐ owned Prairie Lake project near Terrace Bay, Ontario. This additional sampling of holes NP0702 and NP0714 significantly extends the known niobium (Nb), tantalum (Ta), phosphorous (P) intercepts in these holes and adds assays for rare earth elements (REE) including lanthanum (La), cerium (Ce), samarium (Sm), neodymium (Nd) and yttrium (Y). “The ongoing infill sampling of drill core from the 2007, 2008 and 2010 diamond drilling programs moves Nuinsco a step closer to upgrading part of the current 515‐630 million tonne Exploration Target (“ET”) on the Prairie Lake project to a mineral resource,” said Paul Jones, Nuinsco’s CEO. A total of 21 samples were taken from two holes, NP0702 and NP0714. In hole NP0702, a 5.5m section was sampled down to the bottom of the hole at 143m. In NP0714, a 50m long hole, two intervals totalling 31.75m were sampled | |
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