For thousands of other reports visit RSC's Mineral Intellingence Map
Asanko Gold Inc.
Summary
| Project: | Asanko Gold Mine | |
|---|---|---|
| Deposit: | Nkran Extension | |
| Location: | Ghana | |
| Commodities: | Gold | |
| Date: | 8/8/2016 | |
| Report Code: | NI43-101 | |
| Report Type: | Resource Estimation | |
| Project Stage: | Active Mining & Production | |
| Report details: | 8-8-2016: Asanko Gold Inc. announces a Resource Estimation report for its Nkran Extension deposit at the Asanko Gold Mine project. Updated mineral resource estimate completed for Nkran Extension. Vancouver, British Columbia, August 8, 2016 – Asanko Gold I | |
| Resources: | (Resource): 758658t @ 1.76g/t Au (M+I) and 740643t @ 1.65g/t Au (Inf.) at Nkran Extension | |
| CP/QP: | [Resources]: Philip N Bentley (Internal) | |
| ABSTRACT: | Vancouver, British Columbia, August 8, 2016 – Asanko Gold Inc. (“Asanko” or the “Company”) (TSX, NYSE MKT: AKG) provides an update on near mine exploration activity focused on identifying additional oxide resources withing short trucking distance of the existing operations at the Asanko Gold Mine in Ghana, West Africa. The Nkran Extension (Annexure 1) is located on the Nkran shear structure, approximately 1.5km from the Nkran pit, and runs for 900m North-South adjacent to the existing Tailings Storage Facility (“TSF”). The zone of interest was originally indicated from sterilization drilling for the TSF in 2013. During Q1 2016 the zone was infilled by RC drilling on a heel-toe 40m x 20m grid. Following the completed assaying of the 29 RC drillholes (approximately 2,200m), a classified Mineral Resource has been estimated. Given these additional resources are part of and not a material addition to the estimated Asanko Gold Mine resources, no separate technical report will be prepared for them. | |
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