For thousands of other reports visit RSC's Mineral Intellingence Map
Plymouth Minerals Ltd.
Summary
| Project: | San Jose | |
|---|---|---|
| Deposit: | San Jose | |
| Location: | Spain | |
| Commodities: | Lithium | |
| Date: | 7/15/2016 | |
| Report Code: | (no Code) | |
| Report Type: | Resource Estimation | |
| Project Stage: | Pursuing Resources Definition | |
| Report details: | 15-7-2016: Plymouth Minerals Ltd. announces a Resource Estimation report for its San Jose deposit at the San Jose project. Historical resource estimate for project validated (not JORC compliant). Plymouth Minerals Limited (Plymouth, or “the Company”) is p | |
| Resources: | (Resource): 14Mt @ 0.9% Li2O for 133Kt Li2O contained (Historical estimate only) | |
| CP/QP: | [Resources]: Adrian Byass (Internal) | |
| ABSTRACT: | Plymouth Minerals Limited (Plymouth, or “the Company”) is pleased to announce the Historical Foreign Mineralisation Estimate has been validated for the San Jose Lithium Project. This Mineralisation Estimate was produced as part of extensive feasibility work conducted on San Jose between 1985 -1991 and is based on considerable drilling, surface and underground sampling. Through the recent due diligence activities Plymouth is confident that the work completed to create this Estimation as part of the 1985 -1991 Feasibility Study is of high quality and in accordance with industry best practices at the time in which the Estimation was published. As per ASX release dated 29 June 2016, Plymouth satisfied due diligence requirements in relation to the Agreement to earn up to 75% of San Jose (full details of the Agreement is contained in ASX release dated 14 June 2016). The Historical Estimate is summarised below and is not reported in accordance with the JORC 2012 Code and is presented as a Foreign Estimate of Mineralisation (Table 1). | |
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