Tag Archives: AI

Rio Tinto to extend use of Palantir Technologies’ AI-based solutions

Automation, IoT, Mining services, Mining software, , , , , ,

Palantir Technologies Inc has renewed its multi-year enterprise agreement with Rio Tinto, extending the pair’s pact for an additional four years and securing Rio Tinto’s ongoing access to the Palantir Artificial intelligence Platform (AIP).

As an early adopter of Palantir Foundry (Foundry), Rio Tinto has already primed its operational landscape for the deployment of AI through the creation of a robust digital twin (or Ontology), Palantir says. Via the Ontology, AIP will enable Rio Tinto to build, test, and validate AI use cases at an accelerated pace and deploy them to production safely.

These AI use cases will follow and augment critical operational workflows Rio Tinto conducts in Foundry today. From managing plant operations to monitoring geotechnical risk to coordinating dozens of unmanned trains carrying iron ore, Foundry is enabling Rio Tinto to make well-informed decisions and take appropriate actions based on a single, unified source of truth, it added.

Bold Bataar, Rio Tinto’s Chief Commercial Officer, said: “Foundry has helped to transform the parts of our business where it has been applied. In our most high-stakes environments, we are empowering our people to find better ways of working, to improve how we operate our assets, increase performance and to innovate. The Foundry Ontology has made our structured data accessible, and AIP is doing the same for our unstructured data while enabling us to attack with pace problems previously deemed too complex.”

For network specialists and train controllers in the RTIO Operations Centre, in Western Australia, Foundry provides a view of rail operations, assembled from real-time data from hundreds of equipment units and systems in the value chain. With the Ontology providing a unified view of all assets, network specialists coordinate the haulage of iron ore by 53 driverless trains, each with 240 wagons, across the Pilbara rail network. They can optimise, collaborate on and execute complex routing decisions to balance production targets and maintenance needs. As a result, both railway throughput and safety have been improved.

In Mongolia, Foundry equips Rio Tinto with a dynamic understanding of geotechnical risk at Oyu Tolgoi, one of the world’s deepest and largest block cave mines. The mine’s challenging conditions require advanced risk management and constant surveillance to ensure safe production. The Ontology Rio Tinto has configured in Foundry integrates data from thousands of sensors across the mine and serves as a single source of information for cave health, instrumentation and risk, according to the company. This represents a new paradigm for block cave mining and has enabled various adjacent workflow innovations which will be further expanded through Palantir AIP.

Ted Mabrey, Palantir’s Head of Commercial, said: “We have high expectations for Rio Tinto’s utilisation of Palantir’s AIP based on what they have already achieved with Foundry and their ambition for secure use of AI. The Ontology created by Rio Tinto’s team in Foundry over the past three years enables fast deployment of AI solutions to some of Rio Tinto’s most pressing challenges and ensures best and safe operator practice in areas like risk identification, asset management, and supply chain order and fulfilment processes.”

Freeport to introduce Gecko robots to power AI inputs at operations

Automation, Base metals, Equipment maintenance, IoT, Mineral processing, Mining equipment, Mining services, Sustainable mining, , , , , ,

Freeport-McMoRan is to start using robots from US-based Gecko Robotics to generate the required data to feed machine-learning algorithms, attendees of the Financial Times’ Mining Summit 2024, in London, heard last month.

Freeport is looking to bolster copper production from its existing assets in expectation of the world requiring more of the red metal, and it sees AI and machine learning as one potential avenue to pursue.

Speaking on a panel at the event in late September, Bill Cobb, Vice President and Chief Sustainability Officer, acknowledged the copper major had just signed a contract with Gecko Robotics, led by CEO Jake Loosararian.

He explained: “We collect a lot of data, and it’s across the open pits; so all the haulage equipment, the drills, the shovels, etc in the processing facilities…And there is a lot of data, [so] we employ a lot of data science.”

The company is using this data to attempt to “reinvent what we do”, he added.

He explained: “And you heard it over the panels today. Whether it’s the loss of head grade that they’ve experienced over the last 10 years. You know, all of us in the copper sector are seeing decreases in head grades, right? That means we’re going to have to get more efficient, and so it’s really pushing the question on technology and what can technology do.”

Loosararian, for his part, said that the company’s robots were powering AI-based systems that customers use in the mining, energy, manufacturing, defence and infrastructure sectors.

“We gather this information and data sets about how to solve the problem a lot of these facilities have,” he explained. “[In many cases] they’re (the facilities) very old, they’ve reached their useful life and now we’re asking them to last way longer and also produce way more.”

Gecko’s technology is specifically based around how to extend the useful life of this infrastructure so it doesn’t result in catastrophic failures that end up increasing emissions and put the safety of people at risk, he explained.

“And, so, it’s really important to, first and foremost, reject the idea that we have to react to things breaking,” he said. “Technology exists to be able to ensure that, instead of react[ing] to it.”

Loosararian cited a study showing that if major industry eliminated forced outages and catastrophic failures in the US by 2030, there would be an 18% reduction in emissions.

“We need more data to understand the impacts of certain decisions,” he said. “But, I think, really, we need these materials, we need these minerals and we have to ensure that we can rely on – in a way that’s increasing the amount of production while reducing emissions – them to meet the needs for this transition.

“That’s the thing that gets me excited and, I think, that motivates the next generation of technology enthusiasts that need to be flooding through into the industry and places like Freeport.

“I see that beginning to happen because leadership is beginning to embrace technology.”

AI: The new safety inspectors for mining equipment

Equipment maintenance, IoT, Mining equipment, Mining events, Mining maintenance, , , ,

The mining industry, known for its complexity and operational challenges, requires stringent safety measures to ensure both the safety of its workforce and the efficient operation of heavy machinery. From trucks and drills to conveyors and crushers, mining equipment is subject to constant wear and tear.

Traditionally, manual inspections have been the standard, but these are time-consuming, prone to human error and offer limited real-time insight. Enter Artificial Intelligence (AI) – a game-changer for enhancing safety inspections across mining operations, Naaman Shibi, Paperless Solutions Expert, Pervidi Paperless Solutions, says.

AI is transforming the way safety inspections are conducted in mining, allowing operators to not only streamline processes but also improve accuracy and safety.

Here’s how AI is reshaping mining safety:

  1. Image analysis and defect detection: AI-powered image recognition can analyse high-resolution images of mining equipment such as haul trucks, excavators and drills to detect cracks, corrosion, leaks, and other mechanical defects that may be overlooked by human inspectors. This technology enhances the accuracy and consistency of inspections, particularly in rugged and hazardous environments where frequent manual checks are difficult;
  2. Predictive maintenance: By analysing historical data from previous equipment inspections, AI can predict when machinery components are likely to fail. This predictive maintenance model reduces unexpected downtime and ensures that critical mining equipment operates smoothly. It also allows companies to schedule repairs before a major failure occurs, thereby enhancing the overall safety and productivity of the mine;
  3. Real-time monitoring: AI can integrate with IoT sensors on mining equipment to provide real-time data on various performance metrics, such as engine temperature, hydraulic pressure and machine load. By analysing this data, AI can detect anomalies early, helping to prevent breakdowns and accidents that can jeopardise worker safety;
  4. Automated reporting: AI can generate detailed and automated inspection reports, complete with images of any detected issues, suggested corrective actions and compliance notes. This not only saves time but also eliminates the risk of human error in documentation, ensuring that safety protocols are accurately followed and tracked;
  5. Risk assessment: AI evaluates multiple factors, such as equipment usage patterns, age, wear and tear, and operating conditions, to generate risk scores for individual pieces of machinery. This helps prioritise maintenance efforts on the most vulnerable equipment, ensuring resources are allocated effectively to maintain a safe working environment;
  6. Compliance management: Mining operations must adhere to strict safety regulations and industry standards (eg MSHA, ISO). AI helps automate compliance checks and generates comprehensive, audit-ready reports that ensure your mining equipment meets all safety standards without the need for manual verification.

Benefits of AI-enhanced mining equipment inspections include:

  • Improved safety: By identifying potential equipment failures early, AI helps reduce the risk of accidents that could endanger miners and cause costly operational delays. This proactive approach to safety ensures that any machinery defects are addressed promptly, safeguarding the wellbeing of workers in hazardous environments;
  • Increased efficiency: Automating data collection, analysis, and reporting streamlines the inspection process, freeing up operators and safety personnel to focus on other critical tasks. With AI, mining operations can maintain optimal safety levels while simultaneously improving operational efficiency;
  • Enhanced decision making: AI provides real-time insights and predictive analytics, allowing for more informed decisions about equipment maintenance and safety protocols. Mining operators can rely on AI data to schedule repairs or replacements, reducing downtime and improving the longevity of equipment;
  • Better compliance: Ensuring compliance with mining safety regulations is a time-consuming task, but AI makes it easier by automating checks and generating reports that can be readily shared with regulatory bodies. This reduces the administrative burden on safety managers while ensuring all machinery complies with necessary standards;
  • Cost reduction: Mining operations can see significant cost savings by reducing downtime, minimising the risk of accidents and optimising maintenance schedules. With AI-driven inspections, mines can avoid costly repairs, equipment replacements and regulatory fines.

While AI offers numerous advantages for mining equipment inspections, it is not intended to fully replace human inspectors. Challenges such as data quality, algorithm bias, and cybersecurity concerns need to be addressed. Additionally, a skilled workforce is necessary to oversee the implementation and management of AI technologies within mining operations.

By adopting AI, the mining industry can elevate safety standards, protect workers, and ensure equipment reliability. The future of mining safety inspections lies in the intelligent collaboration between cutting-edge technology and human expertise. This partnership between AI and human oversight can lead to safer, more efficient, and cost-effective mining operations.

Naaman Shibi was speakiing ahead of an appearance at IMARC, a premier gathering for the most influential minds in the mining industry. As Australia’s largest and most significant mining event, IMARC attracts over 9,000 decision makers, industry leaders, policymakers, investors, commodity buyers, technical experts, innovators and educators from more than 120 countries. For three action-packed days, attendees will engage in cutting-edge learning, forge valuable deals, and experience unparalleled networking opportunities.

International Mining is a media sponsor of the event, taking place October 29-31, in Sydney, Australia

TOMRA taps into deep learning AI network for latest ore sorting advances with OBTAIN

Automation, Comminution of minerals, Environmental, Mineral processing, Mining services, Mining software, Sustainable mining, , , , , , , , ,

TOMRA is looking to leverage artificial intelligence as part of a plan to unlock new opportunities for mining operations using its sensor-based sorting technology.

The company explained: “The ability of computer systems to mimic human thought and decision making to perform tasks that traditionally required human intelligence has played an important role in TOMRA’s sensor-based sorting solutions for decades, automating the process and improving the accuracy and efficiency of the sorters, unlocking value for mining operations.

“Over the years, sensor-based sorting technology has developed, and TOMRA has been using machine learning in its X-ray Transmission (XRT) and Near-Infrared (NIR) sorters for the last 10 years.”

Now TOMRA Mining is opening a new era in sorting with its latest innovation, OBTAIN™, which leverages deep learning to bring single-particle precision to high throughput particle sorting, it says. This solution takes capacity, quality and recovery to a new level, and unlocks value through a wealth of extremely detailed and accurate data for better-informed decision making, it added.

This software uses a neuronal network to identify the properties of each particle accurately and independently of the sorter’s capacity, achieving new-found precision and reliability in detection and ejection. Based on its specific requirements, the mining operation has the flexibility to either enhance the throughput of the sorter while maintaining consistent sorting efficiency or improve sorting precision without compromising the existing throughput.

TOMRA says: “OBTAIN proves advantageous for a fully operational mine by enhancing recovery rates and elevating product quality within the existing throughput. Conversely, in mines with additional capacity, it facilitates increased throughput without compromising product quality. Furthermore, this innovative technology has the capability to unlock untapped value from low-grade ore, waste dumps, or materials previously deemed uneconomical for processing.”

OBTAIN will also add value to a mining operation with a wealth of extremely detailed and accurate data, such as precise online particle size distribution of the feed.

When used in combination with TOMRA Insight, it can provide the customer with detailed reporting on the performance of the sorter and its components to help them optimise the process, as well as enable them to plan for predictive maintenance, the company says.

The OBTAIN software has been developed for TOMRA’s XRT sorters. It will be available on new models, but there will also be an upgrade package available for existing machines, providing a significant opportunity for customers already operating TOMRA XRT sorters, to substantially enhance the sorting performance where it proves to be a suitable solution.

TOMRA has partnered with two customers to test the OBTAIN in real working conditions. The software has been operating for close to 18 months at the Wolfram Bergbau & Hütten tungsten mine in Mittersill, Austria, where it has delivered consistent and reliable performance. The vicinity of the mine to TOMRA’s development team, based in Germany, has made it a suitable testing ground for the first phase, as they have been able to monitor it closely. A second phase of testing to quantify the improvements has been carried out with a trusted long-standing customer in a magnesite application. The successful tests have shown that OBTAIN is ready to transform sensor-based XRT sorting in numerous applications, according to TOMRA.

Orica and Caterpillar set for mine to mill collaboration

Automation, Explosives and blasting, Mineral processing, Mining services, Mining software, Sustainable mining, , , , , , , , , , , ,

Orica’s Digital Solutions segment continues to make major inroads across the mining value chain, with its latest mine to mill initiative set to involve a collaboration with Caterpillar.

Speaking during the company’s FY23 financial results webcast, Sanjeev Gandhi, Orica Managing Director and Chief Executive Officer, said demand for software, sensors and data science continued to increase as orebodies become increasingly hard to find and extract against a backdrop of high commodity prices and increasing ESG obligations and commitments.

“Customers are continuing to seek operational efficiencies across the mining value chain and unlocking the value of digitisation and automated workflows is key to achieving these efficiencies,” he said.

Orica was reporting Digital Solutions’ first full year result, with Gandhi highlighting a doubling of earnings alongside a significant improvement in margins.

“This was driven by growth across all three sub-verticals, namely Orebody intelligence, Blast design and Execution solutions, GroundProbe,” he said.

The Digital Solutions business has been identified as one of Orica’s key growth verticals as it continues to build and invest in the next generation of digital technologies and solutions, beyond its blasting core.

This was witnessed during the company’s most recent financial year, when, among other developments, it acquired Axis Mining Technology, a leader in the design, development and manufacture of specialised geospatial tools and instruments for the mining industry; as well as released what it said was its most innovative fragmentation monitoring solution yet, FRAGTrack Gantry.

Gandhi said: “Innovation continues to be a focus, and this year we have released 15 new digital features, with a focus on artificial intelligence-based solutions to support our customers.”

And, as the industry and Orica’s customers look to solve their biggest challenges through partnership, Gandhi announced its new collaboration with Caterpillar, saying the two companies had signed a memorandum of understanding (MoU) to explore opportunities to integrate key elements of their respective domains.

He explained: “The initial focus will be on the potential integration between Orica’s Rhino™, BlastIQ™ and FRAGTrack™ technologies with Cat® MineStar™ Terrain technologies.”

Rhino (graphic pictured above) is an autonomous drill string-mounted geophysical sensor that measures unconfined compressive strength while drilling. It enhances orebody knowledge in real-time, enabling miners to make better blast planning, improve fragmentation profiles and increase throughput, according to Orica. The technologies in the BlastIQ platform, meanwhile, are, Orica says, designed to deliver economic and operational value individually, with the benefits maximised when integrated in a systemised process. And finally, FRAGTrack is Orica’s state-of-the-art fragmentation measurement tool designed to provide rapid insights into the outcome of blasting processes.

Caterpillar says of MineStar Terrain: “Cat MineStar Terrain uses high-precision guidance technologies, material tracking and more to help your machines work according to plan – increasing efficiency, reducing variability and helping you get the most out of your drilling, digging, loading and grading operations…The solution helps you increase drill capacity, crusher throughput and material accuracy while driving consistency in payloads and bench heights.”

Gandhi said on this MoU: “The goal of this integrated workflow is to provide customers with high-fidelity rock property information enabling significant improvements to on-bench safety, drilling and blasting program accuracy and productivity, along with higher quality blast outcomes that generate enhanced mill performance.”

In the future, the two companies intend to extend their collaboration to optimisation of the entire value chain, from mine to mill, according to Gandhi, who said the approach aligned with both organisations’ ambitions to create sustainable solutions and services that will build the momentum for more intelligent and solution-driven mining ecosystem.

Volvo Construction Equipment leveraging AI to optimise fluid conditions

Environmental, Mining consumables, Mining safety, Mining services, Sustainable mining, , , ,

Volvo Construction Equipment has unveiled its new Fluid Analysis program, tapping into the artificial intelligence realm to identify wear metals and contaminants on equipment or changes in fluid conditions.

The solution expands on its existing Oil Analysis program and encompasses lubricants, diesel fuels, AdBlue and coolants, and comes alongside a 250% increase in global testing capacity, which is equal to 20 labs globally.

The new digitised process – including a cloud-hosted customer portal and Fluid Analysis mobile app – uses AI data analysis to provide customers with easy-to-understand reports and insights with the highest levels of accuracy which can help them make better informed decisions, it says. This allows customers to take preventive actions against contamination and wear, leading to improved uptime and contributing to a lower total cost of ownership (TCO).

Volvo CE says: “AI accelerates the testing process, making analysis quicker and easier. This allows lab technicians to focus on more sensitive testing issues – such as analysing abnormal or critical samples, those of greatest concern to clients – and, thereby, offer more useful insights and recommendations.”

Alongside the expansion of the program, Volvo is partnering with an industry-leading testing provider to, it says, ensure consistency and efficiency on a global level. Besides leading to a significant increase in testing capacity, this partnership will also reduce lead time and simplify the sampling and analysis process.

With 75% of repair costs and equipment downtime traceable to the use of contaminated lubricants and fuels, and up to 65-75% of all bearing failures traced back to to lubrication issues, the importance of effective fluid analysis cannot be overstated, the company says. Through early identification of possible contamination or wear, customers can take proactive action before any unplanned downtime occurs, helping them to maintain productivity and avoid any potential repair costs.

Volvo CE says the expanded program has taken the potential of fluid analysis to the next level, providing customers with efficient and easy-to-understand reporting. The digitised process is quick, straightforward and provides reports to the highest levels of accuracy.

Once a sample is taken from the machine it is sent to Volvo’s newly expanded global laboratory network. Here it is analysed with a diagnosis performed as required based on any trace elements found.

Once testing is complete, reports – along with recommended actions – are made immediately available via the Volvo Fluid Analysis customer portal. This cloud-based platform features a user-friendly interface which presents reports in a highly visual and easy-to-analyse format, the company claims. It is also the first fluid analysis solution on the market which uses AI data analysis, providing an intuitive solution to deliver consistent and easy to understand recommendations.

The process is made easier still with the Fluid Analysis mobile app. This enables users to register their samples from anywhere in the world, quickly and easily access sample reports, and receive notifications should anything require urgent attention.

Routine fluid analysis is proven to reduce downtime by 15%, Volvo CE says.

“Through a more efficient testing process, increased testing capacity and intuitive reporting, Fluid Analysis from Volvo has made it significantly easier for customers to gain the insight needed to take corrective actions which can help avoid expensive repairs and unexpected downtime.”

Mining and space sectors collaborate to solve the biggest challenges

Automation, Communications in mining, Environmental, IoT, Mineral exploration, Mineral processing, Mining industry recognition, Mining safety, Mining services, Mining software, Power supply for mines, Sustainable mining, Water management, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

A quiet revolution is underway in the mining sector as innovations and knowledge gleaned from space exploration help improve productivity, reduce emissions and create better outcomes for workers and communities, AROSE* Program Director, Michelle Keegan, explains.

The extreme demands of Space exploration and the drive for efficiency in the mining industry is creating new forms of cross-sector collaboration not seen before. The transfer of expertise and technology between these two sectors is also delivering solutions to some of humanity’s greatest challenges.

There are many commonalities between modern resource businesses and space exploration. Both require a focus on a smaller footprint, the delivery of zero-carbon emission operations and a reliance on substantial amounts of data to support decision making. They both operate in sensitive and challenging geographic environments and need to work in a way that reduces risks to their employees and the environments in which they operate.

The space industry provides a rich learning platform for the resources sector, for new approaches to increasingly difficult challenges. But the benefits of collaboration are not all one way. The space sector too is benefitting from the technological innovations and experience of miners here on Earth.

Technology developments in exploration precision, resource planning, advanced mineral detection sensors, in-situ extraction methodologies and advanced safety systems, present opportunities for insights and application in space.

Deep thinking around regulatory frameworks for responsible and sustainable space exploration and development will be enhanced through the experiences, both positive and negative, in terrestrial resource development.

Diversity of thinking

The opportunity to transfer technology and drive diversity of thinking from the space sector into mining will accelerate in the years ahead. Global demand for the critical minerals required to meet the world’s ambitious decarbonisation goals illustrates the need to leapfrog current approaches across the mining project lifecycle, from exploration through to production.

Rio Tinto CEO, Jakob Stausholm, recently described the global mining giant as a “technology company”.¹ In saying this he recognises Rio’s success in tackling the big challenges will rely on the miner’s ability to integrate new technologies and novel approaches to problem solving.

In a world where mining is becoming more complex, more difficult and more expensive, the ability to reduce costs (and emissions) and win the support of governments and local communities will rely on the ability to deploy technology to mine and process ore more efficiently and more safely, both for people and the environment.

Many post-carbon technologies, such as solar energy and battery storage systems, have been advanced through space exploration. Also, it is the systems engineering approach to project design, pioneered for space exploration, that increasingly is being adopted by terrestrial resources, technology and services companies.

Australia’s leading mining and oil and gas operators, as well as their major service companies, are aligning themselves with space-focussed businesses, researchers and industry organisations because they recognise the value of cross-sector collaboration. This new collaboration model is leading to greater technology and expertise transfer between space and resources. Miners also recognise the benefits of their best people being exposed to new knowledge and new ways of problem solving.

Trailblazer Lunar Rover project

The AROSE consortium was created for exactly this type of collaboration – to drive the growth of Australia’s space industry and bring together companies from resources and other industries, to leverage their collective capabilities and go after the toughest challenges in new ways. The Trailblazer Lunar Rover project is a first significant focal point for our space capable businesses and like-minded resources companies to pursue shared technology opportunities.

The AROSE Resources Advisory Board, established in 2022, creates an ongoing opportunity for the most innovative mining company leaders to provide input into the rover project, while taking learnings back to their businesses at the same time.

NASA understands well the benefits of this type of collaboration. Earlier this year AROSE participated in the first of a series of workshops with NASA and the United States Geological Service to look specifically at the areas of intersect between the resources and space sectors.

The mining industry is at a turning point in its decarbonisation journey. It has a once-in-a-generation opportunity to build new capabilities that will lay the foundations for long-term, sustainably driven growth. With an aggressive timeline to zero emissions, a great opportunity for the mining industry to solve this tough challenge is the successful building of relationships with uncommon partners like those in the space sector.

However, a broader partnership opportunity exists between mining and space. The domains we see as offering the best collaboration opportunities between space and mining include:

  • Automation and robotics;
  • Remote operations and control;
  • Geoscience;
  • Satellite communications and imagery;
  • Artificial intelligence;
  • Systems engineering;
  • Waste minimisation;
  • Digital design, including user experience and user interface; and
  • Data analytics.

It is evident space and mining projects are approached very differently. The design of a resources project is most typically achieved by bringing together the experiences of past projects, with a focus on budget and schedule. Operating concept or operating philosophy often takes second priority and does not drive the project design. As a result, an integrated systems design is never achieved. And while available technology enables some level of electrification, automation and digital decision making, the value that could be derived is never fully realised.

Andrew Dempster, Director at Australian Centre for Space Engineering Research at the University of NSW, says, “the high-level difference between the approaches of the two industries is that the mining (and oil and gas) decision points are all and always commercial, whereas the agency-driven space projects have more technical ‘system engineering’ decision criteria.”²

Dempster states “a fundamental observation about the difference between mining engineering and the space engineering disciplines (electrical, electronic, software, mechanical) is that the latter designs a product…while the former designs a business. It appears this is the fundamental disconnect”.

For many years the mining industry value chain has been unchallenged. Valuable resources are mined, processed then moved to a distribution point via rail or road and then shipped to a customer. However, there are several collaboration opportunities that could lead to mining companies rethinking value chain design, and these opportunities have the potential to alter the mining flowchart.

Perhaps the ideal approach we can use in mining is an integration of both approaches, and in this way adopt systems engineering thinking at the outset.

AI and data analytics

With an increasing need to build in automation, sensing and electrification, underpinned by digital platforms, the concept of operations needs an integrated approach more than ever. The growth in the application of AI and data analytics techniques to quickly interpret geological and physical properties of rock in mining has been exponential. As data streams become more complex and decision pressures more acute the demand for more sophisticated approaches to AI will only increase.

The space industry has had an even greater need to manage and interpret a plethora of complex data in real time to support mission critical decisions and there are obvious crossover opportunities to be explored in this arena.

With the hunt underway to locate resources on the moon or other planets to extend human life into outer space, the opportunity exists for mining technology companies to assist with rock knowledge acquisition and mineralogical interpretation of data required for successful space exploration.

Robotics and automation

The application of robotics and automation is expanding in the resources sector with the drive to remove people from harm and increase efficiency and precision in the mining process. Mining technology company IMDEX was motivated to partner with AROSE as a way of bringing space insights to the development of its BLAST DOG technology (pictured below), an automated logging system that collects detailed geoscience data from blast holes.

Major challenges IMDEX faced during the BLAST DOG development phase included: autonomous navigation over rough terrain; locating and positioning accurately over a blast hole; lowering and retrieving a sensitive, high-tech probe down the hole; and managing the transfer of high volumes of data through remote communication systems. IMDEX is refining its approach based on insights gleaned from companies involved in addressing these same challenges in space.

The recent affiliate agreement between AROSE and the Robotics Australia Group will increase this application across the industry.

Autonomous vehicles

In mining, the scale of operation has been linear until recently. If you wanted to increase mining output, you purchased more large equipment. Then came the introduction of fleet automation technologies, developed first by Caterpillar in 1996 and refined in partnership with Rio Tinto and other early adopters in the early 2000s.

Of the 1.5 million vehicles in use across heavy industry globally, only 1,200 vehicles are autonomous.³ Australia has the largest fleet of autonomous haul trucks in the world, with more than 700 in operation across 25 mines.4 Clearly the market potential is enormous.

These remotely operated technologies are challenging the need for ever larger truck sizes. The largest autonomous truck today might be the last of its kind as mining organisations consider what the ‘right size’ truck is for the future.

Smaller size trucks would allow miners to fully electrify their operations much sooner. In addition to the environmental benefits, there are operational and cost benefits that support this approach. The large autonomous trucks currently in use need enormous bi-directional roads. Reducing the size of mining vehicles can have a direct impact on strip ratios, and with a mine that can be up to 1 km deep, the roads that service the mine contribute significantly to the overall footprint.

While every mine design is different, there is a growing body of evidence that smaller autonomous vehicles can lower mine development costs (narrower benches, steeper pits, etc), speed operations and boost overall fleet utilisation.

The space industry has similar challenges with its autonomous vehicles. Where the mining industry is an expert at moving billions of tonnes of material by operating hundreds of autonomous vehicles all year round, the space industry today has only operated 11 semi-autonomous vehicles on a planetary body. This observation isn’t to diminish the significant achievement, as space exploration is extremely difficult, but to highlight the convergence of terrestrial and space objectives. For the space industry to perform in-situ resource utilisation activities anywhere off-earth, there is an opportunity to adopt learnings from the mining industry.

Likewise, the mining industry is moving towards smaller more specific/targeted mining practices and can learn from space industry experience in developing small-scale highly efficient and robust robotic solutions.

The space industry also provides a rich learning platform for the resources sector for new approaches to minimise and utilise the waste stream, with the ultimate goal of zero waste mining operations.

The companies which provide technology and services to the mining majors also realise they need to diversify their offering to include space. This ‘full stack’ approach may be a matter of business survival in a competitive future.

Remote operations specialist Fugro is a leader in this area. Fugro’s new SpAARC (Space Automation, Artificial Intelligence and Robotics Control) remote operations centre in Perth, Western Australia, has been specifically designed to share facilities between its established oil and gas and mining business and its fledgling space offering.

Fugro’s new SpAARC remote operations centre in Perth, Western Australia, has been specifically designed to share facilities between its established oil and gas and mining business and its fledgling space offering

Fugro and Nova Systems are leading the AROSE consortium’s Trailblazer Lunar Rover design team. Woodside Energy and Rio Tinto are also supporting the AROSE Trailblazer effort by providing knowledge transfer of their terrestrial robotic and automation capabilities.

Woodside has also formed a collaboration with NASA on robotics and remote operations. NASA sees Woodside as a great test bed of robotics in harsh environments, as Woodside is doing similar tasks at its operations which NASA envisages doing on the Moon and Mars.5

The largest challenges facing the mining industry are the need to get to zero emissions, the need to get to zero harm and zero waste. There’s urgency in the call to solve all of these. It is now well-recognised that we need more collaboration not just within our sector, but across sectors. With the Moon to Mars program now underway, and the Trailblazer Lunar Rover program in place, this really is a tangible point in time where things are moving forward, a tangible point where people realise that this isn’t a dream, this is a reality.

* AROSE (Australian Remote Operations for Space and Earth) is an industry-led not-for-profit organisation dedicated to ensuring Australia is the trusted leader in Remote Operations science, technology and services on Earth and in Space.

Sources:
1. ‘Solving our largest on earth challenges through the benefit of technology transfer between space and mining,’ Michelle Keegan, Gavin Gillett, Clytie Dangar, World Mining Congress 2023.

References
1. ‘We’re a tech company’: Rio boss draws on lessons of history, Australian Financial Review, 2 August 2023. https://www.afr.com/chanticleer/we-re-a-tech-company-rio-boss-draws-on-lessons-of-history-20230801-p5dt2p
2. Integrating the approaches to space and mining project life cycles, Andrew Dempster, 5th International Future Mining Conference 2021. https://www.ausimm.com/publications/conference-proceedings/fifth-international-future-mining-conference-2021/integrating-the-approaches-to-space-and-mining-project-life-cycles/
3. No swarming yet in trillion-dollar market, Investmets, 4 August 2023. https://www.investmets.com/no-swarming-yet-in-trillion-dollar-market/
4. Global autonomous mining truck population tops thousand mark, to reach 1,800 by 2025, Mining.com, 18 May 2022. https://www.mining.com/global-autonomous-mining-truck-population-tops-thousand-mark-to-reach-1800-by-2025-report/
5. https://cciwa.com/business-toolbox/growth/why-woodsides-partnership-with-nasa-is-a-win-win/

WesTrac to deploy Palantir Technologies’ Foundry across Component Rebuild Centres, Inventory Management teams

Equipment maintenance, IoT, Mining equipment, Mining services, , , , , , , , , , , ,

Palantir Technologies and WesTrac, one of the world’s largest Caterpillar dealers and leading provider of heavy mobile equipment and aftermarket services to the Australian mining and construction sectors, have announced a multi-year enterprise expansion of their partnership, which first began in 2021, to deploy Foundry across core operations.

The expanded partnership will initially focus on deploying Foundry across WesTrac’s Component Rebuild Centres and to Inventory Management teams, to drive greater overall efficiency and customer delivery for WesTrac, Palantir says.

Palantir’s Foundry operating system is being used to help increase throughput of WesTrac’s Component Rebuild Centre at its headquarters in Perth, Western Australia, and is being expanded to the Company’s Tomago facility, in New South Wales. Foundry is used daily by workshop planners and supervisors to improve task scheduling decisions, manage upcoming part constraints, and increase labour efficiency through proactive alerting on task performance and schedule adherence. Foundry will also be leveraged by WesTrac’s Inventory Management teams to identify deficits in available inventory that may block workshop progress, enabling the team to make more proactive ordering decisions, Palantir says.

Jarvas Croome, CEO at WesTrac, said: “In the current technology-rich era, WesTrac has a strong focus on incorporating enhanced data-driven decisions across our business as we look to drive our own digital transformation and improve delivery of Cat® products in Australia. Implementing Foundry has delivered a strong initial return on investment, and we anticipate the five-year expansion of our partnership with Palantir will enhance return on investment and enable more data-driven decisions. The Foundry platform has been a leading feature within WesTrac, with rapid uptake, high usability and widespread acceptance by users across the business.

“As we expand the scope of Foundry, including to new applications like artificial intelligence (AI) solutions, we expect uptake of Palantir’s products to increase. WesTrac is committed to providing world-class products and services to our customers by ensuring operations are supported by the latest technology, which is why we are pleased be extending our partnership with Palantir.”

Ashwin Rajan, Head of Commercial for Australia at Palantir, said Foundry is now serving as the digital twin for WesTrac’s core operations, delivering tangible business benefits.

“The suite of software in Foundry help front-line Component Rebuild Centre & Inventory Teams improve overall efficiency and customer delivery,” he said. “For example, in just the last six months, Foundry has identified a significant number of constrained parts blocking work order progress – and suggested remediation strategies to ensure continued operations. WesTrac predicts these outcomes alongside improvements in inventory management will drive overall throughput up by at least 5% over the next five years, with additional benefits expected in other areas such as reduced working capital requirements and improved time to invoice.”

In addition to Foundry, WesTrac plans to explore AI solutions leveraging a suite of software including Palantir’s new Artificial Intelligence Platform (AIP). AIP, Palantir says, can allow WesTrac to better connect sales to operations, by enabling sales functions to ask questions of workshop operations, to inform sales strategy and improve the accuracy of information provided to customers.

Veracio furthers orebody knowledge messaging with AusIMM partnership

IoT, Mineral exploration, Mining services, Mining software, , , , , ,

Veracio says it is furthering its commitment to redefining how miners find and process orebodies with a new partnership with The Australasian Institute of Mining and Metallurgy (AusIMM).

This partnership, slated to continue through 2024, marks an exciting collaboration between two leading organisations committed to shaping the future of the resource industry, Veracio said.

Earlier this year, Boart Longyear announced that its Geological Data Services division would now operate as a separate entity called Veracio, becoming a single, integrated platform to help mining companies get more value from their orebody data, faster, while mitigating the environmental impact of their decisions. Its technologies and platform, the result of a decade of testing and development in sensing, automation, and artificial intelligence (AI) technologies, “empowers miners to dig deeper into data, accelerating exploration and making better decisions that result in economically efficient operations and reduced waste,” the company said.

Through the AusIMM collaboration, Veracio will focus on a comprehensive thought leadership campaign and a range of online and in-person engagement initiatives, it said.

JT Clark, Veracio’s CEO (pictured on the left), said: “We look forward to engaging with professionals in the mining sector to explore how we can leverage cutting-edge technology and AI to advance orebody knowledge.”

AusIMM CEO, Stephen Durkin (pictured on the right), added: “This collaboration will share with our global community the latest insights on modern tools and techniques being deployed in our industry, ensuring our sector creates safe, sustainable value for our communities.”

Gradiant’s process water solutions to be used at SLB, Rio Tinto operations

Energy minerals, Environmental, Mineral processing, Mining services, Precious metals, Water management, , , , , , , , , , , , , ,

Gradiant, a global solutions provider and developer for advanced water and wastewater treatment, has announced partnerships with SLB (formerly Schlumberger), Rio Tinto and an Australia-based global mining company to, it says, improve productivity and sustainability in the mining industry with a focus on reducing carbon and water footprints.

The projects are in the US and Western Australia for resource recovery of critical minerals and industrial process water.

Gradiant’s collaborations with SLB and the Australia-based global mining company target the recovery of valuable metals such as lithium, nickel and cobalt. The mining of these materials is highly complex and water intensive. Moreover, with increased market demand and environmental regulations, businesses must identify cost-effective and sustainable technologies. Gradiant’s technologies enable sustainable, efficient and economical water governance through end-to-end customised solutions, it says.

Gradiant’s work with SLB integrates Gradiant’s technologies to concentrate lithium solution with SLB’s direct lithium extraction (DLE) and production technology process – allowing reduced time-to-market and environmental footprint for lithium extraction. The solution enhances the impact of the sustainable lithium extraction process by enabling high levels of lithium concentration in a fraction of the time required by conventional methods while reducing carbon emissions, energy consumption and capital costs compared with thermal-based methods, the company says.

Back in October, Gradiant and Schlumberger entered into a partnership to introduce a key sustainable technology into the production process for battery-grade lithium compounds.

For Rio Tinto, Gradiant will deliver a new facility in Western Australia to replace ageing facilities by employing the company’s proprietary RO Infinity membrane technologies and SmartOps Digital AI into existing mining operations. Gradiant has introduced two chemical-free technologies into operations to minimise chemical consumption and waste discharge, it said.

Lastly, Gradiant’s RO Infinity and SmartOps technologies will concentrate complex wastewater from nickel and cobalt production at a new facility in Western Australia for a global mining company, resulting in up to 75% cost savings with lower carbon and water footprints compared with conventional technologies, it says.

Prakash Govindan, COO of Gradiant, said: “Mining is a uniquely complex industrial sector with challenges of remote locations, large volumes of waste, wide fluctuations in water quality and the high-value end-product that demands relentless design and operations efficiencies. The real opportunity for water technology in the mining industry is resource recovery in wastewater coupled with machine learning AI. We are excited to work with the world’s leading mining operators to enter a new era of sustainable resource recovery. This is made possible by Gradiant’s deep understanding of the complex chemistry that underlies the production processes, which is then operationalised by machine learning digital technology.”