For thousands of other reports visit RSC's Mineral Intellingence Map

Artemis Resources Ltd.

opaxe

Summary

Project:

Carlow Castle

Deposit:Carlow Castle
Location:Australia
Commodities:Gold-Cobalt-Copper-Nickel-Palladium
Date:7/25/2018
Report Code:JORC
Report Type:Exploration/Drilling Update
Project Stage:Pursuing Resource Increase/Upgrade
Report details:25-7-2018: Artemis Resources Ltd. announces an Exploration/Drilling Update report for its Carlow Castle deposit at the Carlow Castle project. Drilling results incl. 6.5m @ 23.44g/t Au, 10.35% Cu, 2.32% Co from 47m. Artemis Resources Limited (“Artemis” or
Resources:(Resource, I+I): 2.3Mt @ 1.3g/t Au, 0.11% Co, 0.5% Cu at Carlow Castle
CP/QP:[Overall Report]: Edward Mead (Internal)
ABSTRACT:Artemis Resources Limited (“Artemis” or “the Company”) (ASX: ARV) is pleased to provide this drilling update from its Carlow Castle cobalt, gold and copper project in the Pilbara. Artemis Chief Executive Officer Wayne Bramwell commented: “These latest shallow cobalt, gold and copper assays from Carlow Castle are outstanding by any measure. The mineralisation remains open along strike and at depth and as such the drilling programme will be expanded to further test this growing resource. On 31 January 2018 the company announced a JORC 2012 compliant Indicated and Inferred resource for Carlow Castle of 2.3 Mt @ 1.3 g/t Au, 0.11% Co, 0.5% Cu and 1.6 g/t Au (within a global resource of 4.5 Mt @ 0.9g/t Au, 0.07% Co, 0.4% Cu and 1.3 g/t Ag - at a 0.05% Co cut-off grade). The current drill programme is targeted at infill drilling to increase resource definition and has continued to generate excellent gold, copper and cobalt assay results (see Appendix A). Figure 2 depicts the drill plan for Carlow Castle with Figures 3 and 4 representing 2 sections through the orebody.

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