QMines (ASX:QML) has successfully located 34 electromagnetic anomalies for further investigation following a large airborne geophysical survey at its flagship Mt Chalmers Copper and Gold Project in Queensland.
Highlights:
- Further analysis has identified five “high quality” electromagnetic conductors with coincident soil anomalies.
- Groundbreaking Induced Polarisation and Resistivity inversion analysis to find hidden anomalies is also underway.
- The data will now be combined with the company’s digital database that includes lithology, structure, alteration, mineralised rock units and soil geochemistry.
- Field investigations are now underway with drilling programs to commence on high priority targets immediately thereafter.
The company has been compiling regional data on the Mt Chalmers project for the past 24 months. With the addition of high-quality electromagnetic and magnetic imagery, we now have a multilayered dataset with five high quality electromagnetic targets with supporting geochemistry and geology,” Managing Director, Andrew Sparke, said.
“The potential for a new discovery is now significantly improved and the company will commence drilling operations to test these targets over the coming weeks.”
Overview
QMines selected the survey area to coincide with the most prospective VHMS corridor through the volcanic Berserker Beds, host to multiple large Cu-Zn soil geochemical anomalies as well as the Mt Chalmers mine and satellite Exploration Targets. The survey consisted of 1,814 line-kilometres flown north-south at 100 metre line spacing, within the Company’s tenement holdings.
VTEM Max System
The ompany chose the Versatile Time Domain Electromagnetic (VTEMTM) system over other systems due to its superior ground and conductive overburden penetration because of its high dipole moment transmitter. Together with high resolution (2.0-3.0m) and enhanced software, the systems provided superior results to other systems in this case.
The VTEMTM Max system is able to locate discrete conductive anomalies as well as map vertical and lateral variations in resistivity. It includes a high sensitivity magnetometer, and both electromagnetic and magnetic data are collected as separate datasets.
