Presentations
Kenex staff regularly present their work at conferences and workshops in New Zealand, Australia and Internationally. Have a look at our latest video presentations or scroll back through our archives below.
Insights into old data: Re-evaluating the gold potential of the Coromandel using machine learning
Enhancing Data Collected from Drilling Programmes using Downhole Wireline Logging & Televiewer Tools
Quick and Easy Land Use Classification with QGIS
Mineral potential mapping as a strategic planning tool in the eastern Lachlan Orogen, NSW
The Geological Survey of New South Wales (GSNSW) is undertaking a statewide mineral potential mapping project driven by the need to provide justifiable land use planning advice to key government stakeholders and to highlight the exploration potential of the state’s major mineral systems at a regional scale. Following delivery of mineral potential data packages for the Southern New England Orogen (Blevin et al. 2017) in 2017, and the Curnamona Province and Delamerian Thomson Orogen (Ford et al. 2018) in 2018, the eastern Lachlan Orogen was selected as the next area for a review of key mineral systems and mineral potential.
Mineral potential mapping of porphyry targets at the Bundarra Cu-Au project, Queensland
The Bundarra porphyry Cu-Au project is held by Duke Exploration Ltd., and is located in central Queensland, Australia, 110 km south-west of Mackay. The project was acquired in 2017. Kenex has completed, for Duke, detailed prospectivity modelling over the project area, and 3D modelling over the highest priority targets, in order to focus drilling funds on the most prospective areas. The project area surrounds the Cretaceous Bundarra Granodiorite, which intrudes the Permian Back Creek Group carbonaceous shales, sandstones and marls. Numerous Cu-Au occurrences are present within or near the hornfelsed contact aureole of the granodiorite. The project has been subject to significant exploration work, including mining of high grade ore shoots in the late 1800s to early 1900s, however, modern exploration has been sporadic, and without comprehensive follow-up of encouraging results.
All available historic data has been compiled and incorporated into a mineral potential map based on the porphyry mineral system. Maps representing all components of the mineral system including source, transport, deposition and trap are compared to known mineral occurrences, and the maps with the best spatial correlations have been combined to produce the mineral potential map. The results show that the Bundarra project has areas which are highly prospective for porphyry deposits. The areas of highest prospectivity have been highlighted, allowing work to focus on the targets with the greatest chance of success.
Following this work, 3D models of the two highest potential targets have been produced, incorporating field observations, historical drilling, magnetic data, and new 3D plate modelling of EM data. The 3D models will be used to inform drill targeting.
Targeting Lithium Mineralisation in the Taupo Volcanic Zone, New Zealand
Assessing polymetallic nodule deposit in the Cook Island Exclusive Economic Zone
With the use of GIS and geostatistical modelling techniques, we helped the Cook Island Seabed Authority to assess the potential for economic deposits of polymetallic nodule in their exclusive economic zone.
Improving Land use Solutions: A Collaborative Pilot Study with Local Indigenous Organizations
Geo-enabling Maori iwi to make better land management decisions
We are currently working with several Maori iwi in New Zealand to improve their GIS capabilities and integrate spatial knowledge in their decision-making processes. The main aim of this work is enabling the iwi to create and manage their own GIS projects and use the results to enhance their day to day operations and long-term planning. In this pilot study on land use improvement with GIS and RS we created a spatial model to find the best land uses for a given land block and then integrated the results with profit forecasts in order to provide the landowners with a better understanding of the land capability. We used high resolution data captured with drones as well as freely available spatial datasets that we processed, reclassified, weighted and combined using ESRI ArcGIS software. The result is a series of land unit polygons, each representing a unique combination of possible land uses and relative forecast profit. This combined spatial and economic information provides a comprehensive understanding of the potential of a block of land. The modelling process is simple, flexible, clear to understand and easy to replicate, but more importantly it can be effectively used to make informed land management decisions
Mineral Potential Mapping for Pre-Competitive Data Delivery in NSW Zone 54
A collaborative project between the Geological Survey of New South Wales (GSNSW) and Kenex Pty Ltd was undertaken to evaluate the mineral potential of MGA Zone 54 in NSW as a continuation of GSNSW’s ongoing program of mineral potential mapping across the state, which commenced in the southern New England Orogen in 2017. The results of the Zone 54 project will deliver a pre-competitive geoscience data package that will be used to guide mineral exploration and land-use planning in the region. Prior to modelling, the available datasets were reviewed and updated by GSNSW to ensure accuracy and that relevant attribute information was present. Using a mineral systems approach, models were developed for Broken Hill Type Pb-Zn-Ag and IOCG mineralisation in the Curnamona Province, and Orogenic Au and VHMS mineralisation in the Delamerian-Thomson Orogens. The component processes in the mineral system models were translated into mappable targeting criteria. The key predictive variables, mapped using geological, geochemical, and geophysical datasets, were determined using spatial statistics. Mineral potential maps were generated for each mineral system using a weights of evidence approach. Area-frequency analyses show model efficiencies between 88-99%, which indicate almost all training points used to represent evidence of the mineral system being targeted are predicted within a small area. A comprehensive spatial data table outlining the details of the mappable targeting criteria and the results of the spatial data analysis, and maps of the key predictive variables were delivered, along with the mineral potential maps as a pre-competitive dataset for public release.