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

Castillo Copper Ltd.

opaxe

Summary

Project:

Jackaderry

Deposit:Cangai
Location:Australia
Commodities:Copper-Cobalt-Zinc-Gold-Silver
Date:12/11/2018
Report Code:JORC
Report Type:Exploration/Drilling Update
Project Stage:Pursuing Resource Increase/Upgrade
Report details:11-12-2018: Castillo Copper Ltd. announces an Exploration/Drilling Update report for its Cangai deposit at the Jackaderry project. Drilling results incl. 4.39m @ 5.06% Cu, 2.56% Zn, 20.1g/t Ag from 49.9m. Castillo Copper’s Chairman Peter Meagher commented
Resources:(Resource, Inf.): 3.2Mt @ 3.35% Cu
CP/QP:[Overall Report]: Peter Smith (Internal)
ABSTRACT:Castillo Copper’s Chairman Peter Meagher commented: “The assay results from the diamond drill core significantly exceeded the Board’s expectations, especially the 14.45% copper reading. Clearly, in the Board’s view, Cangai Copper Mine is potentially one of the highest grading copper deposits across Australia. The Board’s strategic intent has broadened to encompass, firstly, determining the scalability of the high-grade ore body at Cangai Copper Mine through more DHEM survey work and RC-drilling; and, secondly, capitalise on incremental exploration upside through flying aero-magnetic surveys over preselective parts of the Cangai South tenure to identify new high-grade targets.” Copper Limited’s (“CCZ” or “the Company”) Board is pleased to report solid diamond drill core assay results for drill-hole CC0036D, which validate the high-grade nature of the underlying ore body at Cangai Copper Mine. Furthermore, the Board has now mapped out forward exploration plans. The diamond drill core assay findings for drill-hole CC0036D, which were from Volkhardts DHEM Conductor 1 (refer Figure 3 below), were above CCZ’s geology team’s expectations.

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