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

Canterbury Resources Ltd.

opaxe

Summary

Project:

Briggs

Deposit:Briggs
Location:Australia
Commodities:Copper-Molybdenum
Date:1/17/2020
Report Code:JORC
Report Type:Exploration/Drilling Update
Project Stage:Pursuing Resources Definition
Report details:17-1-2020: Canterbury Resources Ltd. announces an Exploration/Drilling Update report for its Briggs deposit at the Briggs project. Drilling results incl. 444.2m @ 0.27% Cu, 42ppm Mo from 7.8m. Canterbury Resources Limited (ASX: CBY) is pleased to announce
Resources:x
CP/QP:[Overall Report]: Michael Erceg (Internal)
ABSTRACT:Canterbury Resources Limited (ASX: CBY) is pleased to announce further significant progress at the Briggs Copper Project in SE Queensland. Canterbury’s Managing Director, Grant Craighead, said: “We are very pleased with the progress that has been achieved at the Briggs Copper Project in 2019. The scale of the deposit continues to be significantly expanded and higher-grade features have been identified that will be further tested in future programs. Equally importantly, there are numerous opportunities to substantially grow the resource base in the immediate vicinity, as well as in the broader region where we are expanding our tenement position. A maiden Mineral Resource estimate will be completed in the near term, and this is likely to trigger a reassessment of the future operating structure of the Project, including consideration of involvement of third-parties.” The Briggs, Mannersley and Fig Tree Hill tenements are located 50km inland from Gladstone and are prospective for large scale porphyry copper ±gold ±molybdenum deposits. The region is very well serviced by key infrastructure including industrial service providers, power, transport and port facilities.

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