For thousands of other reports visit RSC's Mineral Intellingence Map
Bearing Lithium Corp.
Summary
| Project: | Maricunga | |
|---|---|---|
| Deposit: | Maricunga | |
| Location: | Chile | |
| Commodities: | Lithium-Potassium | |
| Date: | 12/19/2017 | |
| Report Code: | NI43-101 | |
| Report Type: | PEA | |
| Project Stage: | Pursuing Feasibility Study | |
| Report details: | 19-12-2017: Bearing Lithium Corp. announces a PEA report for its Maricunga deposit at the Maricunga project. JV - PEA results incl. pre-tax NPV (8%) of $1.49M, IRR or 23.4%. Vancouver, British Columbia- (Newsfile Corp. - December 19, 2017) - Bearing Lithi | |
| Resources: | (Resource, M+I): 325kt Li contained at Maricunga | |
| CP/QP: | [Overall Report]: Don Hains (Internal) | |
| ABSTRACT: | Vancouver, British Columbia- (Newsfile Corp. - December 19, 2017) - Bearing Lithium Corp. (TSXV: BRZ) (OTCQB: BRGRF) (FSE: B6K1) ("Bearing" or the "Company") is pleased to announce the results from a Preliminary Economic Assessment ("PEA") prepared in accordance with National Instrument 43-101 on the Maricunga lithium brine project located in Chile (the "Maricunga Project"). The report titled "Preliminary Assessment and Economic Evaluation of the Minera Salar Blanco Project" was prepared by WorleyParsons for the Maricunga joint-venture company, Minera Salar Blanco, and will be filed on SEDAR (www.sedar.com) within the coming days. Upon completion of an earn-in by it's joint-venture partner, Bearing Lithium will hold a final 17.7% interest in the Maricunga project along with Minera Salar Blanco SpA at 32.3% and Lithium Power International at 50%. Under the terms of the earn-in, Lithium Power is funding all exploration and development costs with both Bearing and MSB having a free carry through to the completion of a definitive feasibility study | |
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