For thousands of other reports visit RSC's Mineral Intellingence Map
Osisko Metals Inc.
Summary
| Project: | Pine Point | |
|---|---|---|
| Deposit: | East Mill | |
| Location: | Canada | |
| Commodities: | Lead-Zinc | |
| Date: | 10/21/2019 | |
| Report Code: | NI43-101 | |
| Report Type: | Exploration/Drilling Update | |
| Project Stage: | Pursuing Resource Increase/Upgrade | |
| Report details: | 21-10-2019: Osisko Metals Inc. announces an Exploration/Drilling Update report for its East Mill deposit at the Pine Point project. Drilling results incl. 14.00m @ 6.43% Zn, 0.87% Pb from 21.23m. MONTREAL, Oct. 21, 2019 -- Osisko Metals Incorporated (the | |
| Resources: | (Resource, Inf.): 38.4Mt @ 4.58% Zn, 1.85% Pb | |
| CP/QP: | [Overall Report]: Robin Adair (Internal) | |
| ABSTRACT: | MONTREAL, Oct. 21, 2019 -- Osisko Metals Incorporated (the “Company” or “Osisko Metals”) (TSX-V: OM; OTCQX: OMZNF; FRANKFURT: 0B51) is pleased to announce first drilling results from the Fall 2019 drill program at Pine Point. Twenty-six exploration drill holes were completed in the L-37 and N-38 areas within the East Mill Zone. Highlights include drill hole L37-19- PP-001 that intersected 8.68% zinc and 2.45% lead over 6.40 metres and drill hole L37-19-PP-011 intersected 6.43% zinc and 0.87% lead over 14 metres. All intersections are within flat-lying tabular-style deposits and are located between 7 to 36 metres vertical depth, adding more near-surface, high grade mineralization in proximity to the Company’s current Inferred Mineral Resource Estimate (MRE). Other highlighted intersections are noted in Table 1 below. (See East Mill L37 Surface Map). The focus in this area of the East Mill Zone is to connect the mineralization between two existing tabular deposits. Drill hole composites and location details are provided in Tables 2 & 3. | |
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