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A quiet revolution is unfolding in the mining sector
LONDON, Aug 29 (Reuters) - The world is going to need a lot of copper and other critical metals if it is going to pivot away from fossil fuels. But can the mining industry deliver? The challenges are huge. Ore grades at existing copper mines are steadily falling, big new discoveries are becoming rarer and development times can stretch up to a decade. Part of the solution is to increase the efficiency of the mining process, which has historically been both highly polluting and wasteful. BACK TO THE FUTURE The world dug up 650 million metric tons of copper between 1910 and 2010 but 100 million tons never made it to market, according to a 2020 research paper by Germany's Fraunhofer Institute. All that metal is still there lying in tailings ponds, a potentially massive resource awaiting the right technology to unlock it. Rio Tinto (RIO.L), opens new tab has already successfully separated critical metals such as scandium and tellurium from waste streams at existing operations. Others are now looking at ways to extract value from the vast legacy of past mining activity. Hudbay Minerals (HBM.TO), opens new tab, for example, is evaluating, opens new tab the potential for re-mining tailings at the Flin Flon site in Canada's Manitoba. The mine closed in 2022, leaving nearly a century's worth of minerals-rich waste. Australia's Cobalt Blue Holdings (COB.AX), opens new tab, which has been collaborating on the Flin Flon project, has also signed an agreement, opens new tab with the Mount Isa city council in Queensland to explore re-working pyrite tailings as a potential alternative source of sulphur once the town's copper smelter closes. These and many similar projects are still only at conceptual or pilot stage but India's Hindustan Zinc (HZNC.NS), opens new tab is scaling up with a $438 million, opens new tab commitment to process 10 million tons per year of tailings at its Rampura Agucha mine, the world's largest zinc mine. LESS WASTE While miners are collectively reassessing the value of legacy waste, they are also working out how to produce less waste in the first place. This comes with both economic and environmental upside. The mining industry currently generates over seven billion tons of tailings per year and the amount is rising as ore grades fall. Much of the work in this area is incremental in nature. Glencore Technology, for example, has been steadily improving its ISAMill, opens new tab grinder to handle increasingly coarser particle sizes. The aim is to reduce the amount of ore grinding to save water and reduce tailings waste. The company's Albion Process, opens new tab for leaching can lift copper recovery rates to over 99% and reduce operating costs by up to a third, allowing development of complex ore-bodies that wouldn't be viable with traditional technologies. Others such as Allonnia, which describes itself as a bio-ingenuity company, are pioneering more revolutionary approaches. The company's D-Solve technology uses microbes to selectively extract impurities such as magnesium from concentrates. Allonnia has just partnered, opens new tab with the Eagle nickel mine in the United States for an onsite unit to pilot technology that in laboratory tests can improve nickel grades by 18% and cut magnesium impurities by 40%. BIG TECH MEETS OLD TECH The new overarching technology that can bind all these innovations together is artificial intelligence (AI). Majors such as Rio Tinto and BHP are already using AI in autonomous haulage systems and to predict maintenance downtime rather than reacting to equipment failures. Generative AI is the next big leap forward. BHP (BHP.AX), opens new tab uses it in combination with "digital twin" technology, a real-time virtual replica of the mining process, at its South Australian copper mine and the giant Escondida mine in Chile. GenAI models at Escondida "inform ore blasting and blending strategies, identify mine areas with challenging ore characteristics, and support the implementation of SAG mill model predictive control," according to BHP, opens new tab. U.S. copper producer Freeport-McMoRan (FCX.N), opens new tab has partnered with consultancy group McKinsey to use AI to boost production, opens new tab at its North American operations, which were facing declining output due to mature mines and aging process technology. Integrating traditional mining with data engineering allows for real-time adjustments to processing rates to handle variable ores. When AI was trialled at the Baghdad mine in Arizona, it led to a 5%-10% increase in copper production. Rolling it out across the company's other American operations is projected to lift output by 90,000 tons each year. That's equivalent to a new processing plant, which would come at a cost of over $1.5 billion and a timeline of eight to ten years for planning, construction and commissioning. FUTURE MINING Mining, it is often said, is a dirty business. The proof lies in the billions of tons of sludge sitting in tailings ponds around the world. The consequence is public antipathy to new mine projects, which is one of the reasons it takes so long to build and commission a new one. Mining has also been a highly inefficient business in the past. Too much mineral value has been either discarded as waste or simply left in the ground because the technology didn't exist to treat such low-grade ore. That's changing as one of the world's oldest industries rapidly modernizes, combining innovations in traditional processing with new technologies such as bio-engineering and AI. This is a quiet revolution playing out in multiple laboratories, pilot plants and data centres around the world. But the promise is one of a much cleaner and more efficient sector, which may just mean the world isn't going to run out of copper after all. The opinions expressed here are those of the author, a columnist for Reuters. Editing by Elaine Hardcastle Our Standards: The Thomson Reuters Trust Principles., opens new tab * Suggested Topics: * Commodities * Exploration & Production Opinions expressed are those of the author. They do not reflect the views of Reuters News, which, under the Trust Principles, is committed to integrity, independence, and freedom from bias. Andy Home Thomson Reuters Senior metals columnist who previously covered industrial metals markets for Metals Week and was EMEA commodities editor at Knight-Ridder (subsequently Bridge). Started up Metals Insider in 2003 and sold it to Thomson Reuters in 2008, he is author of 'Siberian Dreams' (2006) about the Russian Arctic.
[2]
A quiet revolution is unfolding in the mining sector
The mining industry is reinventing itself with AI, bio-tech, and waste re-mining to tackle falling ore grades and soaring demand for copper. From Hindustan Zinc to BHP, innovations promise cleaner, more efficient production, offering hope the world won't run out of copper after all. The world is going to need a lot of copper and other critical metals if it is going to pivot away from fossil fuels. But can the mining industry deliver? The challenges are huge. Ore grades at existing copper mines are steadily falling, big new discoveries are becoming rarer and development times can stretch up to a decade. Part of the solution is to increase the efficiency of the mining process, which has historically been both highly polluting and wasteful. BACK TO THE FUTURE The world dug up 650 million metric tons of copper between 1910 and 2010 but 100 million tons never made it to market, according to a 2020 research paper by Germany's Fraunhofer Institute. All that metal is still there lying in tailings ponds, a potentially massive resource awaiting the right technology to unlock it. Rio Tinto has already successfully separated critical metals such as scandium and tellurium from waste streams at existing operations. Others are now looking at ways to extract value from the vast legacy of past mining activity. Hudbay Minerals, for example, is evaluating the potential for re-mining tailings at the Flin Flon site in Canada's Manitoba. The mine closed in 2022, leaving nearly a century's worth of minerals-rich waste. Australia's Cobalt Blue Holdings, which has been collaborating on the Flin Flon project, has also signed an agreement with the Mount Isa city council in Queensland to explore re-working pyrite tailings as a potential alternative source of sulphur once the town's copper smelter closes. These and many similar projects are still only at conceptual or pilot stage but India's Hindustan Zinc is scaling up with a $438 million commitment to process 10 million tons per year of tailings at its Rampura Agucha mine, the world's largest zinc mine. LESS WASTE While miners are collectively reassessing the value of legacy waste, they are also working out how to produce less waste in the first place. This comes with both economic and environmental upside. The mining industry currently generates over seven billion tons of tailings per year and the amount is rising as ore grades fall. Much of the work in this area is incremental in nature. Glencore Technology, for example, has been steadily improving its ISAMill grinder to handle increasingly coarser particle sizes. The aim is to reduce the amount of ore grinding to save water and reduce tailings waste. The company's Albion Process for leaching can lift copper recovery rates to over 99% and reduce operating costs by up to a third, allowing development of complex ore-bodies that wouldn't be viable with traditional technologies. Others such as Allonnia, which describes itself as a bio-ingenuity company, are pioneering more revolutionary approaches. The company's D-Solve technology uses microbes to selectively extract impurities such as magnesium from concentrates. Allonnia has just partnered with the Eagle nickel mine in the United States for an onsite unit to pilot technology that in laboratory tests can improve nickel grades by 18% and cut magnesium impurities by 40%. BIG TECH MEETS OLD TECH The new overarching technology that can bind all these innovations together is artificial intelligence (AI). Majors such as Rio Tinto and BHP are already using AI in autonomous haulage systems and to predict maintenance downtime rather than reacting to equipment failures. Generative AI is the next big leap forward. BHP uses it in combination with "digital twin" technology, a real-time virtual replica of the mining process, at its South Australian copper mine and the giant Escondida mine in Chile. GenAI models at Escondida "inform ore blasting and blending strategies, identify mine areas with challenging ore characteristics, and support the implementation of SAG mill model predictive control," according to BHP. U.S. copper producer Freeport-McMoRan has partnered with consultancy group McKinsey to use AI to boost production at its North American operations, which were facing declining output due to mature mines and aging process technology. Integrating traditional mining with data engineering allows for real-time adjustments to processing rates to handle variable ores. When AI was trialled at the Baghdad mine in Arizona, it led to a 5%-10% increase in copper production. Rolling it out across the company's other American operations is projected to lift output by 90,000 tons each year. That's equivalent to a new processing plant, which would come at a cost of over $1.5 billion and a timeline of eight to ten years for planning, construction and commissioning. FUTURE MINING Mining, it is often said, is a dirty business. The proof lies in the billions of tons of sludge sitting in tailings ponds around the world. The consequence is public antipathy to new mine projects, which is one of the reasons it takes so long to build and commission a new one. Mining has also been a highly inefficient business in the past. Too much mineral value has been either discarded as waste or simply left in the ground because the technology didn't exist to treat such low-grade ore. That's changing as one of the world's oldest industries rapidly modernizes, combining innovations in traditional processing with new technologies such as bio-engineering and AI. This is a quiet revolution playing out in multiple laboratories, pilot plants and data centres around the world. But the promise is one of a much cleaner and more efficient sector, which may just mean the world isn't going to run out of copper after all. The opinions expressed here are those of the author, a columnist for Reuters.
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The mining industry is undergoing a quiet revolution, leveraging AI, biotechnology, and innovative waste management techniques to address challenges of falling ore grades and increasing demand for critical metals like copper.
The global shift away from fossil fuels has created an unprecedented demand for copper and other critical metals. However, the mining industry faces significant challenges in meeting this demand. Ore grades at existing copper mines are declining, new discoveries are becoming scarce, and development times for new mines can extend up to a decade
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.To address these challenges, the mining industry is turning to innovative solutions that increase efficiency and reduce waste. One promising approach is the re-mining of tailings ponds, which contain vast amounts of previously discarded metal. Between 1910 and 2010, approximately 100 million tons of copper never made it to market and now lies in these waste repositories
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.Several companies are exploring the potential of re-mining:
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.In addition to re-mining, companies are focusing on reducing waste production. Glencore Technology has improved its ISAMill grinder to handle coarser particle sizes, reducing water usage and tailings waste
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. The company's Albion Process for leaching can achieve copper recovery rates of over 99% and reduce operating costs by up to a third1
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.Biotechnology is also playing a role in revolutionizing the mining industry. Allonnia, a bio-ingenuity company, has developed D-Solve technology that uses microbes to selectively extract impurities from concentrates. In laboratory tests, this technology has shown the potential to improve nickel grades by 18% and reduce magnesium impurities by 40%
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Artificial Intelligence (AI) is emerging as a transformative force in the mining industry, integrating and optimizing various innovations. Major mining companies like Rio Tinto and BHP are already using AI for autonomous haulage systems and predictive maintenance
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.Generative AI, combined with "digital twin" technology, is being employed by BHP at its South Australian copper mine and the Escondida mine in Chile. These AI models inform blasting and blending strategies, identify challenging ore characteristics, and support mill control
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.Freeport-McMoRan, in partnership with McKinsey, has implemented AI to boost production at its North American operations. When trialed at the Baghdad mine in Arizona, this AI integration led to a 5%-10% increase in copper production. The company projects that rolling out this technology across its American operations could increase output by 90,000 tons annually – equivalent to building a new processing plant at a fraction of the cost and time
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.Source: Economic Times
The mining industry, often criticized for its environmental impact and inefficiency, is rapidly modernizing. By combining innovations in traditional processing with new technologies like bio-engineering and AI, the sector is moving towards cleaner and more efficient operations
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.This quiet revolution, unfolding in laboratories, pilot plants, and data centers worldwide, offers hope that the increasing demand for copper and other critical metals can be met sustainably. As the industry continues to evolve, it may well prove that the world isn't going to run out of copper after all
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