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

Kin Mining NL

opaxe

Summary

Project:

Leonora

Deposit:Cardinia Hill, Black Chief
Location:Australia
Commodities:Gold
Date:2/18/2020
Report Code:JORC
Report Type:Exploration/Drilling Update
Project Stage:Pursuing Resource Increase/Upgrade
Report details:18-2-2020: Kin Mining NL announces an Exploration/Drilling Update report for its Cardinia Hill, Black Chief deposit at the Leonora project. Drilling results incl. 9m @ 3.05g/t Au from 46m at Cardinia Hill. Kin Mining NL (ASX: KIN or Company) is pleased to
Resources:(not mentioned in this report)
CP/QP:[Overall Report]: Glenn Grayson (Internal)
ABSTRACT:Kin Mining NL (ASX: KIN or Company) is pleased to advise of the return of initial assay results from 1m split samples generated from the aircore drilling program completed in December 2019 at the Cardinia Gold Project (CGP) near Leonora, Western Australia. The 1 metre samples were collected from 4m composite samples greater than 0.1g/t Au to allow for better definition of the mineralised zones. Refer ASX announcement 13 January 2020. The results have confirmed the overall grade of the composite samples and have defined narrow, high grade cores within the wider mineralised zones defined by the 4m composite sampling. A full interpretation of all the recent drilling results in conjunction with previous drilling results is underway. Follow up drilling is expected to be conducted in March 2020. The results from the 1m split samples at Cardinia Hill have confirmed the thickness and overall grade of the original composite assays. Refer Table 1 and ASX announcement 13 January 2020 for original drill hole details. The improved definition available from the 1m split samples has highlighted several higher grade gold mineralised zones within the broader mineralised envelope defined by the original 4m composite assays.

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