Tag Archives: Commonwealth Scientific and Industrial Research Organisation

NextOre’s in-pit sorting advances continue with development of mining truck sensor

NextOre and its magnetic resonance (MR) technology have made another advance in the ore sorting and material classification game with the development of a new “open geometry” sensor that could enable mines to scan mining truck loads.

The company, in the last year, has surpassed previous throughput highs using its on-conveyor belt solutions, accelerated the decision-making process associated with material sorting viability with its mobile bulk sorter and made strides to branch out into the in-pit sorting space via the development of these open geometry sensors.

NextOre’s MR technology is the culmination of decades of research and development by the Commonwealth Scientific and Industrial Research Organisation (CSIRO), with the division spun out from the organisation in 2017. Since then, NextOre has gone on to demonstrate the technology’s viability across the globe.

NextOre’s MR analysers were first fitted on conveyor belts, yet interest in solutions for in-pit equipment predates the company’s inception.

“A significant portion of the time when CSIRO would show people the technology, they were working on for fitting on a conveyor belt, many would ask: ‘could you possibly put it around a truck somehow?’,” Chris Beal, CEO of NextOre, told IM.

After workshopping many ideas and developing increasingly large prototypes – commencing at the start with an antenna made up from a copper loop and a couple of capacitors – two in-pit solutions leveraging CSIRO’s open-geometry sensor have come to the fore.

The first – a 3-m-wide sensor – underwent static and dynamic tests using chalcopyrite copper ore grade samples in a material feeder setup in 2022, in Australia.

This test work, observed by several major mining companies, laid the groundwork for a bigger installation – a 7-m-wide ruggedised antenna that weighs about 5 t. This can be positioned over a haul truck and manoeuvred using a crane supplied by Eilbeck and guidance systems developed for NextOre by CSIRO and the University of Technology Sydney.

The advantage of MR in a truck load scanning scenario, just as with a conveyor, is the ability to make accurate, whole-of-sample grade measurements at high speeds. Yet, to operate effectively, this system requires significant amounts of power.

“The truck system we are building is between 120 kW and 200 kW,” Beal said. “For people in the radio frequency space, power of that magnitude is hard to comprehend; they’re used to dealing with solutions to power mobile phones.”

For reference, a NextOre on-conveyor system rated up to 5,000 t/h has around 30 kW of installed power. And conveyor systems above 5,000 t/h have 60 kW of installed power.

The idea is that this new MR truck sensor station would be positioned at an ex-pit scanning station to the side of the main haul road at a site and trucks will be directed to ore or waste as a result. The test rig constructed in NextOre’s facility has been built to suit the truck class of the initial customer, which is a major copper mine using 180-t-class and 140-t-class haul trucks.

The first prototype has now been built (as can be seen by the photo) and is awaiting of shipment to the mine where a one-year trial is set to commence.

While pursuing this development, NextOre has also been increasing the scale of its conveyor-based installations.

Around nine months ago, IM reported on a 2,800 t/h MR ore sorting installation at First Quantum Minerals’ Kansanshi copper mine in Zambia, which had just shifted from sensing to sorting with the commissioning of diversion hardware.

Now the company has an ore sensing installation up and running in Chile that has a capacity of 6,500 t/h – a little over 50% higher than the highest sensing rate (4,300 t/h) previously demonstrated by the company at Newcrest’s Cadia East mine in New South Wales, Australia.

Beal said the unit has been up and running since December, with the copper-focused client very happy with the results.

For those companies looking to test the waters of ore sorting and sensing, another big development coming out of NextOre in recent years has been the construction of a mobile bulk sorter.

Able to sort 100-400 t/h of material on a 900-mm-width conveyor belt while running at 0.3-1 m/s, these units – one of which has been operated in Australia – is able to compress the timeline normally associated with making a business case for ore sorting.

“As people can now hire such a machine, they are finding it either resolves a gap in proving out the technology or it can be used to solve urgent issues by providing an alternative source of process feed from historical dumps,” Beal said. “They want to bring a unit to site and, after an initial configuration period, get immediate results at what is a significant scale.”

Such testing has already taken place at Aeris Resources’ Tritton copper operations in New South Wales, where the unit took material on the first surface stockpile taken from an underground mine.

While this initial trial did not deliver the rejection rate anticipated by Aeris – due largely to rehandling of the material and, therefore, a reduction in ore heterogeneity ahead of feeding the conveyor – Aeris remains enthusiastic about the technology and Beal is expecting this unit to be redeployed shortly.

“We now know thanks to results from Kansanshi, Carmen Copper Corp/CD Processing, this new Chilean site and Cozamin (owned by Capstone Copper) that this in-situ grade variability can be preserved, and that mixing impacts directly on sorting performance,” Beal said. “Even so, we have seen really good heterogeneity persist in spite of the unavoidable levels of mixing inherent in mining.”

He concluded: “People want this type of equipment not in a year’s time, but next month. Capitalising the business to put more mobile units out in the world is a priority.”

Reedy Lagoon and CSIRO eye alternative resource estimate methodology

Reedy Lagoon Corp says it is working with Australia’s Commonwealth Scientific and Industrial Research Organisation (CSIRO) to investigate and trial new ways to determine resource estimates that can rely more on geophysics than solely drill hole information.

The ASX-listed explorer has engaged with CSIRO to develop a method of determining magnetite resources using petrophysically-constrained magnetic modelling. The testbed for the research will be Reedy Lagoon’s Burracoppin iron project, in Western Australia, which, the company says, is progressing towards producing green high purity pig iron (HPPI).

The collaboration with CSIRO will use previously drilled core to determine the physical properties (eg magnetisation and density) of the Burracoppin magnetite deposit, and use those results to constrain a detailed 3D magnetic/density model of the mineralisation, Reedy Lagoon said.

Dr Jim Austin, CSIRO Project Leader and Petrophysics Expert, said: “Magnetite resources are unlike any other metal in that the quantity of the resource present (ie iron) has a linear relationship with both density and magnetisation. This means the total iron resource can theoretically be determined to relatively high precision using geophysical methods alone.”

The Burracoppin iron project is seeking to establish an indicated resource of 20-30 Mt of iron concentrate product within the Burracoppin magnetite deposit so that financial projections for the HPPI production can be determined. The deposit is currently identified in detailed airborne magnetic data and three drill holes.

The planned resource definition work is focused in the region between the three drill holes where, as part of the work in establishing a mineral resource, an exploration target has been determined.

“If shown to be successful, the work with CSIRO may lead to a new method of estimating a resource to JORC standards with far less drilling than is currently required, saving much expense and reducing ground disturbance,” Reedy Lagoon said.

The project was made possible through CSIRO Kick-Start, an initiative that provides funding and support for innovative Australian start-ups and small businesses to access CSIRO’s research expertise and capabilities.

SensOre and CSIRO to clean up exploration datasets for AI algorithms

SensOre has commenced a joint project with the Commonwealth Scientific and Industrial Research Organisation (CSIRO) looking at automation and efficiency in big data cleaning and processing solutions for the mineral resource sector.

Access to high-quality datasets has, in the past, been an obstacle to applying cutting-edge predictive analytics to solve geoscience and mineral exploration problems, according to SensOre.

The joint project, which will confront this problem, will see several CSIRO data science experts embedded within SensOre over the next six months.

SensOre says it aims to become the top performing minerals targeting company in the world through the deployment of artificial intelligence and machine-learning technologies, specifically its Discriminant Predictive Targeting® workflow.

“SensOre is committed to world-leading mineral exploration research and development,” Richard Taylor, CEO and Director of SensOre, said. “This is the second time SensOre has worked with CSIRO and the engagement has led to order of magnitude improvements in our approach. Australian government support, such as the Kick Start initiative, is important for Australian technology companies looking to grow globally.”

The joint project benefits from CSIRO’s Kick Start initiative for innovative Australian start-ups, providing funding support and access to CSIRO’s research expertise. The program offers eligible businesses matched funding of up to A$50,000 ($34,681) to undertake research activities.

New survey to open up undercover exploration in South Australia’s Gawler Craton

New data collected from the Geological Survey of South Australia (GSSA) and the Commonwealth Scientific and Industrial Research Organisation (CSIRO) is set to open up undercover exploration in the Gawler Craton.

The Gawler Craton Airborne Survey has been designed to capture approximately 1.8 million line kilometres of new magnetic, radiometric and digital elevation geophysical data over an area of some 324,000 sq.km.

The data will far surpass the current patchwork of surveys and provide a single, uniform dataset that will be fundamental in reinterpreting the geological structure of the Gawler Craton, according to the South Australia Government.

The Gawler Craton is host to the world-class Olympic Dam iron ore copper gold deposit, which hosts the world’s largest uranium deposit, as well as sizeable copper and gold resources. Several major copper mines including Prominent Hill, Cairn Hill, Mount Gunson, Hillside and Kanmantoo are also located here, in addition to projects like Carrapateena, Khamsin, Emmie Bluff and Punt Hill.

This week, the first data release of rock depth from the programme – focused on the north-western Gawler Craton – was published.

Officially opening the South Australian Resources and Energy Investment Conference (SAREIC) in Adelaide on July 30, Minister for Energy and Mining Dan van Holst Pellekaan said the information “will give explorers a head start on their exploration programmes and save precious time and money”.

“When it comes to exploring undercover, knowing the depth of prospective rocks is critical, given the cost and expense involved in drilling. This project is an international standout bringing an amazing clarity and precision in seeing through earth’s cover,” he said.

Today’s release is the first of 16 packages to be rolled out by the GSSA over the next 12 months covering the remaining Gawler Craton survey, and builds on previous releases of magnetic, radiometric and digital elevation data across a vast region of South Australia.

Despite many mines and prospects, the Gawler province is largely underexplored due primarily to the cover of regolith making exploration difficult. Statistical analysis of the type of orebodies present in the Gawler Craton, compared to similar style deposits globally, suggests there is an opportunity for more economic mineral discoveries to be found.