For thousands of other reports visit RSC's Mineral Intellingence Map
Centamin Plc
Summary
| Project: | Doropo | |
|---|---|---|
| Deposit: | Doropo | |
| Location: | Cote D'Ivoire | |
| Commodities: | Gold | |
| Date: | 2/1/2017 | |
| Report Code: | NI43-101 | |
| Report Type: | Resource Estimation | |
| Project Stage: | Pursuing Resource Increase/Upgrade | |
| Report details: | 1-2-2017: Centamin Plc announces a Resource Estimation report for its Doropo deposit at the Doropo project. Initial resource estimate + drilling results incl. 10m @ 22.0g/t Au from 44m. In Côte d’Ivoire, exploration drilling over targets defined by geoch | |
| Resources: | (Resource): 5.75Mt @ 1.62g/t Au (Ind.) and 26Mt @ 1.26g/t Au (Inf.) at project | |
| CP/QP: | [Overall Report]: n/a (n/a) | |
| ABSTRACT: | In Côte d’Ivoire, exploration drilling over targets defined by geochemical and geophysical surveys has led to a new discovery at the Doropo project in the northeast of the country, adjacent to our licence holding across the border in Burkina Faso. A maiden resource of 0.3Moz at 1.6g/t Indicated and 1.0Moz at 1.3g/t Inferred has been estimated from drilling results over five prospects within a 5km radius area. Preliminary metallurgical test work has returned positive results, indicating mineralisation is amenable to conventional leaching. Mineralisation at these prospects remains open along strike and at depth and drilling in 2017 will focus on expanding and upgrading this initial resource in these areas. Regional exploration will also continue to test existing and new prospects for laterally extensive and nearsurface mineralisation. We have continued to expanded our portfolio of highly prospective licence holdings in Côte d’Ivoire and, with licence applications pending, we expect to increase this further during 2017 | |
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