For thousands of other reports visit RSC's Mineral Intellingence Map
Auris Minerals Ltd.
Summary
| Project: | Forrest | |
|---|---|---|
| Deposit: | Wodger | |
| Location: | Australia | |
| Commodities: | Copper-Silver-Bismuth | |
| Date: | 4/29/2019 | |
| Report Code: | JORC | |
| Report Type: | Exploration/Drilling Update | |
| Project Stage: | Pursuing Resources Definition | |
| Report details: | 29-4-2019: Auris Minerals Ltd. announces an Exploration/Drilling Update report for its Wodger deposit at the Forrest project. Drilling results incl. 8.5m @ 0.42g/t Au, 1.06% Cu from 382m. Australian base metals explorer Auris Minerals Limited (“Auris” or | |
| Resources: | x | |
| CP/QP: | [Overall Report]: Matthew Svensson (Independent) | |
| ABSTRACT: | Australian base metals explorer Auris Minerals Limited (“Auris” or “the Company”) (ASX: AUR) is pleased to provide the results of diamond drilling at the Forrest and Wodger Prospects in the Bryah Basin of Western Australia. Diamond drilling at the Forrest and Wodger Prospects have been completed for a total of 1,302.6 metres and all laboratory assay results have been received from the drilling. All significant results returned to date from the drilling are listed in Table 1 and drill collar locations within Table 2. Forrest Diamond Drilling Summary Two diamond drill holes (FPDD001 and FPDD002) for 679.5 metres were completed at the Forrest Prospect. The significant intercepts support the interpretation of a northern down-plunge extension to known copper mineralisation (Figures 1 and 2, see ASX announcement dated 4 February 2019). FPDD001 (231.0m depth) tested the down plunge extension of oxide copper mineralisation intersected in FGRC005 (8m at 1.27% Cu from 139m) and FGRC002 (8m @ 1.01% Cu from 76m, see ASX:RNI announcement dated 28 February 2014). | |
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