For thousands of other reports visit RSC's Mineral Intellingence Map
Chaarat Gold Holdings Ltd.
Summary
| Project: | Chaarat | |
|---|---|---|
| Deposit: | Tulkubash Zone | |
| Location: | Kyrgyz Republic | |
| Commodities: | Gold | |
| Date: | 1/2/2018 | |
| Report Code: | (no Code) | |
| Report Type: | Resource Estimation | |
| Project Stage: | Mine Development | |
| Report details: | 2-1-2018: Chaarat Gold Holdings Ltd. announces a Resource Estimation report for its Tulkubash Zone deposit at the Chaarat project. Updated mineral resource estimate at the project. Chaarat (AIM: CGH), the AIM quoted exploration and development company dev | |
| Resources: | (Resource, M+I): 42.0Mt @ 1.20g/t Au for 1.624Moz Au contained | |
| CP/QP: | [Resources]: Joe Hirst (Internal) | |
| ABSTRACT: | Chaarat (AIM: CGH), the AIM quoted exploration and development company developing the Chaarat Gold Project in the Kyrgyz Republic, is pleased to announce a Joint Ore Reserves Committee ("JORC") compliant Mineral Resource update for its Tulkubash oxide gold deposit in the Kyrgyz Republic. This resource update is based on the simplified and robust geologic model that was used for the mid-September interim resource update (see the Company's press release dated 4 September 2018). This 2018 year-end resource update includes results from the latest 48 diamond drill holes, comprising approximately 9,370 metres, drilled since the September resource update. An updated reserve estimate and financial model for the Tulkubash deposit based on the year-end resource model are being prepared and should be completed by end-February 2019. Drilling since the September 2018 update has focused on infill drilling within the current strike length with the objective of improving the quality of the resource in terms of continuity and reserve conversion. | |
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