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

Wiluna Mining Corp.

opaxe

Summary

Project:

Matilda

Deposit:Wiluna
Location:Australia
Commodities:Gold
Date:6/23/2020
Report Code:JORC
Report Type:Exploration/Drilling Update
Project Stage:Active Mining & Production
Report details:23-6-2020: Wiluna Mining Corp. announces an Exploration/Drilling Update report for its Wiluna deposit at the Matilda project. Drilling results incl. 14m @ 9.52g/t Au from 162m. Wiluna Mining Corporation Limited (“Wiluna Mining” or “the Company”) is please
Resources:
CP/QP:[Overall Report] Cain Fogarty (Internal)
ABSTRACT:Wiluna Mining Corporation Limited (“Wiluna Mining” or “the Company”) is pleased to report more exceptional high-grade results from resource development and infill drilling at the Wiluna Mining Centre. This will enable the Company to complete detailed Mineral Resources and Reserves estimates as part of the Stage 1 sulphides expansion project. At this stage, the Company intends to provide its update to its Mineral Resource estimation in September 2020 and Reserves in December 2020. The Company is well progressed in its initial 45,000-metre drilling program at the Wiluna Mining Operation with the primary focus on drilling the sulphide ore bodies in support of the proposed mine development sequence at the Wiluna Mining Centre with the intention to achieve the following; These latest results relate mainly to the Essex deposit (see Figure 1). Essex is the second target in the sulphides to be drilled along with Bulletin with excellent results received from both these programs. The drilling is now taking place concurrently at third and fourth targets Calvert and East West. We expect results here in the next month. This will round out the first stage of the sulphide drilling by the end of June 2020.

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