This two half days course is for geologists who are using drill results in combination with other datasets to make decisions exploration strategy, drill targeting, resource definition, and
mining. The intent is to encourage geologists, at every level of experience, to use their full skill sets to make the best possible decisions from drilling results.
Who should attend?
The course is suitable for geologists of any experience level, working in mineral systems with poor outcrop, complex structure, geophysics, and geochemistry, including minerals explorers, mine geologists, researchers, and students. It is ideally suited for geologists using drill core and related data as a major component of their exploration, research or mining geology programs. Although we will be using a hydrothermal Au system as the key practical component, this course is also suitable for geologists dealing with deformed and overprinted Ni- and PGE-bearing orthomagmatic or sedimentary systems, and similarly, metamorphosed/remobilisedVHMS systems.
Presenters
Nick Oliver (Ph.D., Director HCO Associate consultants, Adjunct/Honorary Professor at JCU/EGRU and UQ/SMI (Sustainable MineralsInstitute) nickoliver@hcovglobal.com
June Hill (Ph.D., Principal Research Scientist, CSIRO Mineral Resources), June.Hill@csiro.au
Prerequisite
Participants will use the following provided datasets: core photography, downhole geochemical data, geophysical/rock properties data, and structural data. Good working knowledge of Excel is required; prior experience with Leapfrog, ioGAS, and stereographic projection software will be beneficial but is not essential. Instructions for accessing this software, the core photography data package, and the relevant datasets, will be made available upon registration.
Course content
The main focus of the course is on the use of drilling-derived data, including core photography, down-hole geochemical data, logging data, structural data, and additional data derived from tools such as spectral tools or scans, magnetic susceptibility etc.
Delivery Mode: Online