Tag Archives: AI

BHP targets more mineral discoveries with SensOre JTA pact

SensOre says it has welcomed a wholly-owned subsidiary of BHP as a client for its Data Cube and Discriminant Predictive Targeting® (DPT®) technology.

SensOre and BHP reached agreement on a Letter of Intent in May 2020 and confirmed this in a Joint-Targeting Agreement (JTA) on September 18, SensOre said.

The JTA envisages a phased process training the DPT technology on commodity-specific deposit types and applying the knowledge gained to a pre-determined search space. SensOre stands to benefit through fees for the targeting exercise and potential success-based payments on certain discoveries resulting from the technology, it explained.

Richard Taylor, CEO of SensOre, said: “The JTA is a very positive development for SensOre that has come to fruition over many months of discussion.

“The vast data challenge of cleaning and integrating massive geoscience datasets has in the past been an obstacle to applying big data and machine learning advances to mineral exploration. Through agreements like this, we believe SensOre’s DPT technology will be part of a new wave of discovery in mature markets.”

SensOre aims to become the top performing minerals targeting company in the world through the deployment of artificial intelligence and machine-learning technologies, specifically its DPT workflow. SensOre collects all available geological information in a terrane and places it in a multi-dimensional hypercube or Data Cube, with its big data approach allowing DPT predictive analytics to accurately predict known endowment and generate targets for further discovery, it says.

SensOre recently committed to a joint project with the Commonwealth Scientific and Industrial Research Organisation looking at automation and efficiency in big data cleaning and processing solutions for the mineral resource sector.

KPMG KIC winner proposes new way to improve mineral extraction

A team from the Indian Institute of Technology (Indian School of Mines) has been crowned champions of KPMG’s KPMG Ideation Challenge (KIC) 2020 for developing a solution that brings disruptive innovation to the mining industry.

The solution, KPMG says, could help enable safer and more sustainable extraction of minerals and metals.

The 17th annual KIC took place on August 24-25, 2020, with the hackathon-style competition taking place virtually for the first time. It gathered both science, technology, engineering and mathematics (STEM) and business students to help solve real-world business issues with artificial intelligence and other emerging technology-based tools and solutions.

Out of more than 8,000 applicants across 19 countries, 17 student teams were chosen from 500 leading universities to advance to the final phase of the event. The top three finalist teams were the Indian Institute of Technology (Indian School of Mines) from Dhanbad, India, Zhejiang University in China, and University of Florida in the US.

Team NAVACHARITAM (Technology Replaces Repetitiveness) from the Indian Institute of Technology was announced as the KIC winner.

The team’s solution, which used a custom algorithm, sensor imaging and drone technology, is designed to more precisely pinpoint the exact location of minerals to be extracted, resulting in considerable reductions of air pollution, time and cost, as well as improvements to worker safety. The winning team members (pictured above) are: Sanchit Kumar, Varnika Kumari, Parth Hetamsaria and Srajan Gupta. The team is currently in the process of patenting their solution.

Phil Thornley, Partner with KPMG Australia and a Lead Practitioner with KPMG’s Global Lighthouse Center of Excellence for Data, AI and Emerging Technologies, said: “The panel of judges selected the student team from the Indian Institute of Technology because they addressed a problem with global relevance – safety and sustainability in the mining industry – and developed a solution that was commercially and technically viable. This technology shows great promise; it has the potential to offer significant safety, environmental and cost benefits.”

The winning team will receive $50,000 in seed funding to bring their idea to market with coaching and guidance from KPMG professionals. All participating teams retain intellectual property rights for their ideas and solutions, according to KPMG.

Nokia’s Jadoul on keeping miners safe amid COVID-19

Workplace safety is a major objective of every mining company on the planet, but with the COVID-19 pandemic, for the first time perhaps, the primary danger may simply be getting too close while talking to our fellow team members, Marc Jadoul*, Strategic Marketing Director at Nokia, says.

In the mining industry, we are going to have to adapt our business practices to accommodate the current pandemic, and we have to be better prepared for similar events in the future. The pandemic has led to a re-thinking of certain safety protocols, procedures and personal protection, and it is accelerating the adoption of recent innovations that will improve workplace safety in other ways as well.

As the world has re-opened the economy, organisations such as the Center for Disease Control (CDC) in the US and the World Health Organization (WHO) have published recommendations for how to operate manufacturing and other business operations while still practicing social distancing and other aspects of workplace safety. These include having office employees telework where possible, staggering shifts to reduce the number of workers using lunch, break and washrooms at the same time, increasing physical space between employees in the workplace, wearing masks and even downsizing operations if necessary.

Given COVID-19’s ability to be spread by individuals who do not show symptoms, it is generally acknowledged that tracking contacts will be a key way to identify those who might have been exposed to a sick employee. Knowing the cost to the business of having to shut down a facility due to illness, management will need to work with public health authorities to implement practices that allow for the quick identification of suspected contacts, allow for testing and quarantine of workers in the case of an outbreak in their operation and, in some jurisdictions, be able to show compliance with these practices.

Marc Jadoul, Strategic Marketing Director at Nokia

The technologies needed to do this are not so far away. In fact, they already exist in industries where operating environments have residual risks or require robust control measures in ways that are similar to what will be needed to protect people from contracting the virus. Some of these practices have already been implemented in mines as well as nuclear facilities and high-tech chip fabricators. With some adaptation, it is not hard to see how these technologies can be adapted more broadly to make the mine workplace of the future nearly virus-free.

From a larger safety management perspective, the ultimate goal is to create a real-time, dynamic picture of what is happening with people, assets and environmental conditions at all times – what is known as ‘situational awareness’. It is crucial for conducting forensic analysis to understand the pattern of interactions and identify possible transmission paths so as to limit exposure and trigger remediation protocols, including testing and quarantining. Much of this already exists, but simply needs to be adapted to the current outbreak.

The ultimate objective of situational awareness is having 360° visibility of people, assets, infrastructure and environmental conditions. Because what you don’t see, you can’t manage. Which is important, not only for saving lives, but also for preventing productivity losses and increasing operational efficiency.

This full digital awareness of everything going on in the workplace is the main thrust of Industry 4.0, which brings together several technology streams: low-powered IoT sensors, artificial intelligence (AI) and machine learning, edge computing and next-generation wireless connectivity. These technologies combine to allow for the automation of repetitive processes, improved efficiency of operations, preventative maintenance of assets, quality control and enhanced situational awareness.

Applying these technologies to deal with COVID-19 will help to solve many of the new workplace constraints identified above. For instance, there are types of digital smart personal protective equipment (PPE) that incorporate wearable sensors and communications devices. They communicate with the operations control centre and could be used to trace employee movements, enforce geo-fenced areas deemed too dangerous for entry, or sense environmental contaminants and warn employees who have had excessive exposure to leave the area and follow decontamination protocols.

With some small adjustments, smart PPE and wearables could be deployed in many operations to enforce safe distancing between employees, using software to digitally map out work zones. They could warn employees when they are entering crowded areas or no-go zones. They could improve safety and efficiency during mustering and evacuation. And they could also enable management to forensically track past exposure of employees to those who have tested positive for the virus.

With the ongoing spread of COVID-19, mining companies need to find ways to enforce physical distancing among miners in order to keep operations open and miners safe

If sifting through location data for all the employees in a large mine sounds like a nightmare, this is where AI comes to the rescue. Sophisticated analytics software already exists that can analyse location data to look for correlations. It isn’t much of a stretch to adapt this software to smart PPE data that tracks worker movements in the facility – as long as unions and laws allow for it. This kind of software also exists to analyse video footage from CCTV cameras. All of this analysis can be used to trace infection vectors and to re-assure health authorities that protocols are being enforced on the job site.

One of the important enablers of Industry 4.0 use cases is the existence of highly reliable, secure wireless connectivity. The key to end-to-end awareness of operations is ubiquitous connectivity. Because of privacy concerns, that connectivity should be very secure. To support video and the large amount of data that can be generated within a fully automated facility, it also has to have bandwidth capacity as well as be able to support low latency edge computing. Geo-positioning and geo-fencing services for employees and mobile machines need more precise coordinates than can be provided by GPS – and need to work underground and in-building as well as on surface.

Delivering all these essential capabilities is fortunately available with today’s 4.9G/LTE and tomorrow’s 5G industrial wireless networks. Early generation wireless technologies, such as Wi-Fi, were designed for connectivity to best-effort networks. They are not highly reliable, secure or capable of providing mobility and geo-positioning services. Cellular-based 4G services, on the other hand, have been used in public mobile networks for a decade and have never been compromised. 5G is designed to be even more secure and has a number of features, like ultra-low latency, that are specifically intended for industrial automation use cases.

COVID-19 is likely to be a reality we have to live with for several years. If we are lucky and develop a vaccine quickly, it may be a short-term problem. But the scientists have been warning us about the possibility of pandemics of this nature for decades. This will not be the last. The good news is that the same Industry 4.0 technologies that are transforming our workplaces can be harnessed in this fight. Industrial IoT, edge computing, AI/machine learning and industrial-strength wireless networking will play a key role in ensuring the safety of our workers and our ability to come out of this crisis stronger than before.

*Marc Jadoul leads Nokia’s marketing efforts for the mining industry, working with key stakeholders across the business to evangelise digital technologies for creating safer, more efficient and productive mines

Yamana lets GoldSpot loose on Cerro Moro exploration database

Following recent successes at El Peñón, GoldSpot Discoveries Corp has been reengaged by Yamana Gold  to use machine learning to identify new drilling targets at the Cerro Moro gold and silver mine, in Argentina.

Yamana has commissioned GoldSpot’s team of geologists and data scientists to examine its entire database and look for previously unrecognised data trends to identify areas of potential mineralisation at depth and on a regional scale, it said. By engaging GoldSpot, Yamana seeks to minimise exploration risk and mitigate exploration and drilling costs, the company added.

“GoldSpot will use its geoscience and machine science expertise to clean, unify and analyse exploration data from Yamana’s Cerro Moro mine and produce 2D and 3D targets for the exploration program,” GoldSpot said. “GoldSpot will also deliver new geophysical, geochemical and geological products produced through the reprocessing of the satellite images and other relevant layers which will help interpretations and mineralisation models.”

Denis Laviolette, Executive Chairman and President of GoldSpot, said the new contract with Yamana validates its work, thus far. “Yamana has been an incredible supporter of GoldSpot and we are proud to be a part of their digital transformation,” he said.

GoldSpot was previously commended for its use of machine learning technology to improve exploration targeting and also contribute to the meaningful increases in mineral resource inventory at Yamana’s El Peñón mine.

Henry Marsden, Senior Vice President, Exploration, at Yamana, said in February: “The collaborative AI process undertaken with GoldSpot has allowed Yamana’s exploration team to leverage many years of multidisciplinary exploration data and is playing a significant role in the current exploration targeting process at El Peñón. We are pleased with the progress that our partnership with GoldSpot has yielded so far and look forward to continued success.”

Augmentir AI solution helps HOLT CAT optimise maintenance, repair and service ops

Augmentir Inc is to work with HOLT CAT, the largest Caterpillar machine and engine dealer in the US, to create, it says, an artificial intelligence-led platform for its maintenance, repair and service operations.

Augmentir calls itself a leading provider of AI-based connected worker software for industrial companies, while HOLT CAT sells, services and rents Cat equipment, engines and generators for construction, mining, industrial, petroleum and agricultural applications.

“With the selection and rollout of Augmentir’s connected worker software platform, HOLT CAT continues its commitment to delivering innovation in heavy equipment and engine service and repair,” Augmentir said.

Augmentir’s software platform will allow HOLT CAT to move from paper-based to digital, augmented work instructions for service, maintenance, and repair procedures; accelerate onboarding and training times for new technicians; provide instant training for novice technicians; and improve overall efficiency and tracking using Augmentir’s AI-based operational insights, it said.

Brandon Acosta, Vice President of Enterprise Operations for HOLT CAT, said the company needed a software platform that could help it reduce on-boarding time for new technicians and help to reduce the variability in its standard job times.

“The Augmentir platform provides us with an easy-to-use set of tools to deliver rich guided procedures to our technicians helping them perform at their peak,” he said.

“Furthermore, as we continue along our journey with Salesforce Field Service Lightning, we truly believe that the seamless connectivity of Augmentir with that platform will empower our technical staff within one end-to-end digital environment; not just what to do, but how to do it.”

Augmentir’s Connected Worker Platform is a suite of AI-powered tools designed to help manufacturing and service teams improve operations, close skills gaps, capture “tribal knowledge”, and drive continuous improvement efforts, according to the company.

“The platform provides tools to help teams author and publish digital work instructions and workflows and also provides an industrial collaboration solution to support remote work scenarios,” Augmentir says. “In addition, the platform delivers AI-based organisation-wide insights and recommendations that focus on improving the quality and productivity of frontline workers.”

Russ Fadel, CEO and Co-Founder of Augmentir, said: “Our AI-based Connected Worker platform helps industrial companies to intelligently close skills gaps so that the entire workforce can perform at its peak. Additionally, our AI-based True Opportunity™ system helps companies identify the areas of largest capturable opportunity and make recommendations on how to capture them.”

With this selection, HOLT CAT believes it will be able to utilise the Augmentir platform in other areas of its remanufacturing and rebuild operations, and also implement a more seamless integration across its business systems and workflows, according to Augmentir.

Windfall Geotek adds drones to AI-driven exploration tech offering

Mining technology services company, Windfall Geotek, says it has launched a new drone-based solution for artificial intelligence (AI) driven digital exploration in mining.

A services company using AI with a portfolio of gold, copper and zinc properties in Quebec, Canada, Windfall Geotek has been using AI and advanced knowledge-extraction techniques since 2005 in the mining sector. EagleEyeTM leverages this experience, it said.

Michel Fontaine, President and CEO of Windfall Geotek, said: “Our new services have allowed us to bring to market the survey, sensor, and AI-driven software for digital exploration. Our ability, in the mining sector, to find targets is directly tied to the quality of the source data we receive from our customers.

“EagleEye will allow us to work more closely with our customers, generating a better return for their investors with our CARDSTM AI-generated targets.”

Windfall’s CARDS (Computer Aided Resources Detection System) solution consumes open data from around the world to identify a high statistical probability of target identification within known areas of interest, the company said.

Don Moore, CEO of Playfair Exploration, a previous user of Windfall Geotek’s technology, said: “Windfall Geotek’s experience in collecting and analysing data has been proven over the past 15 years. We recently worked closely with Michel and his team on a great project in Finland.”

EagleEye will begin tests in mining sector with the acquisition and analysis of survey data. The company plans to partner with operators of leading surveying companies to obtain geophysical data and generate potential drill targets using drones, modified sensors, and the CARDS AI software system, it said.

Exyn drones help Rupert Resources map Pahtavaara gold mine

Exyn Technologies says it has completed a successful mission for Rupert Resources at its historic Pahtavaara gold mine in northern Finland.

By harnessing Exyn’s autonomous drones, Rupert Resources was able to produce highly detailed 3D models of the mine, which is otherwise completely inaccessible to traditional CMS tools or even manually piloted drones, Exyn said.

“Rupert Resources needed to plan for a potential restart of operations by estimating tonnage previously removed from the mine, as well as calculating the remaining ore in heavily restricted areas,” the company said.

Exyn’s fully autonomous aerial robots mapped 30 stopes in three days with a single drone. In addition, Exyn mounted a version of its robot to a car to scan all access drifts which, together with the stope maps, provided a complete mine map in under four days.

Jukka Nieminen, Managing Director of Rupert Finland, said: “Rupert is actively seeking new technologies where we think big gains can be made in terms of safety, productivity and accuracy.

“Exyn achieved accurate assessment of the volume of remaining stopes at Pahtavaara with an unprecedented level of detail, and obviously the use of remote technologies means that this was achieved with a greatly reduced degree of risk. We have no hesitation in recommending this technology.”

Exyn’s autonomous drones are built on the exynAI™ platform, enabling aerial robots to fly intelligently without a human pilot using a multitude of high-tech sensors and AI-based software, the company says. The system operates without the need for GPS or external communications, and is deployed as an all-in-one software and hardware package.

Raffi Jabrayan, Director of Markets & Industries, Exyn Technologies, said: “Our mission with Rupert presented some of the most difficult and seemingly impossible challenges to navigating, analysing, and assessing a mine – which therefore makes it exemplary in demonstrating the heights of Exyn’s capabilities.

“Our AI-based software and state-of-the-art sensors were able to get the job done quickly and safely, proving once again that no exploration task is impossible for Exyn drones.”

Minerva to show AME Roundup crowd what TERRA AI software can do

Minerva Intelligence says it will be showcasing its TERRA mining artificial intelligence software at the 2020 AME Roundup Conference next week in Vancouver, Canada.

Minerva’s core competency is combining machine intelligence with human intelligence to produce explainable, rapid conclusions that enable cost-effective decision-making, it says.

Its TERRA suite uses this knowledge to put together a range of software applications that helps “clients harmonise and utilise poorly-structured or legacy data, produces new and precise auditable geological targets for 92 different mineral deposit types, optimises underused 3D drilling data, and provides rapid, intelligent discovery of documents”, it said.

Minerva says it has carried out a number of projects for government agencies focused on generating public domain exploration targets to promote mining within their jurisdictions. It recently updated a project from 2004 carried out in Canada’s Yukon territory, with analysis of the exploration areas highlighted by the project showing a very good correlation with claims held for exploration today, 15 years after the study.

Minerva will be showcasing this technology at Roundup’s Innovation Hub, an area reserved for conference invitees to display the latest innovations in the mineral exploration sphere. Minerva will be demonstrating its advanced augmented reality technology as well as the TERRA product suite at the hub, it said.

The 2020 AME Roundup Conference will be held on January 20-23 at Vancouver’s Convention Center.

Startups Seglico and Miqrotech win I’MNOVATION awards

Startups from Uruguay and the US are due to provide innovative safety and environmental solutions for mining as part of Ennomotive’s Acciona I’MNOVATION program.

The program, which aims to create an impact in industries such as mining, renewable energy, and Smart Cities by solving innovation challenges with the help of startups, closed on November 28, with Miqrotech and Seglico chosen to build a pilot of their technologies after winning.

Over 160 technological startups from all over the world submitted entries, with 20 of them selected as finalists from countries such as Chile, Uruguay, Brazil, Germany, Spain, Canada, the US, and Australia.

Two mining challenges particularly stood out, and their goal was to improve worker’s safety and protect the environment in this industry, Ennomotive said.

The Uruguay-based startup, Seglico, with its occupational safety management solution, was the winner of the challenge about monitoring the health parameters of mining and construction workers. This company has an app that registers in a smartphone the vital signs captured by the worker’s wearables, according to Ennomotive.

The US-based startup, Miqrotech, is to provide a sensorisation solution for tailings and copper concentrates pipes, which has already been successfully implemented in the oil and gas sector. This company, headquartered in Tampa, Florida, uses IoT devices to monitor different parameters such as pressure, temperature, or humidity in the pipes to predict leakage using an AI system, Ennomotive said.

Currently, the winning startups are in the middle of a piloting process that will go on until May 2020 where they will adapt their technologies and undergo real tests on site, according to the organisation.

To read more about the winning startups, follow this link: https://www.ennomotive.com/winning-startups-acciona/

Sandvik showcases digital mining developments in Brisbane

Last week, close to 300 leaders from the mining, construction and quarrying industries from Australia, Japan and Indonesia met in Brisbane, Australia, for a two-day summit, hosted by Sandvik, to showcase best practice examples of digitalisation.

The Digitalization in Mining event, on December 3-4, allowed Sandvik to demonstrate its latest digital offering and introduce participants to the latest innovations across its product portfolio, including process optimisation with OptiMine®, information management through My Sandvik digital services and autonomous operation with AutoMine ̶ together with the latest equipment in underground and surface drilling, loading and hauling, crushing and screening and the rock tools management system.

During the event Sandvik also announced two product launches: AutoMine Access API, which gives mines the power to connect non-Sandvik equipment to AutoMine, and its first Stage V compliant underground loaders for hard-rock mining applications.

Jim Tolley, Vice President, Sales Area Australia Pacific, Sandvik Mining and Rock Technology, said digitalisation is helping companies to grow and optimise their operations. “Our partners were keen to join us at this event because they know that digitalisation has a critical part to play in making their mines sustainable for the future.”

Day one of the event featured speakers from mining companies across Australia, as well as leaders in mining technology, process optimisation and automation. They explained the benefits their organisations have gained by implementing automation and process optimisation solutions, as well as the accompanying change in mindset, according to Sandvik.

The following presentations set the program for the day, followed by a panel discussion:

  • Shaping the Industry Digital Ecosystem (Sandvik);
  • Holistic Perspective, Focusing on Productivity, Safety and Optimised Machine Performance (Byrnecut);
  • Developing the Mine of Tomorrow (Barminco Ltd);
  • Machine Learning  ̶  Keeping it Real with Case Studies from across the Mine Value Chain (PETRA Data Science);
  • Capturing Opportunities for Digital and other Product Technology Solutions (Rio Tinto);
  • Automation Technology to Improve Efficiency and Consistency in Longwall Development Operations (Glencore);
  • Direction of Technology and Automation (Newcrest); and
  • Data Privacy, Rights and Control (Sandvik).

Pat Boniwell, Managing Director, Byrnecut Australia, said the industry will improve productivity, safety and optimise machine performance through a more “fundamental understanding” of the individual processes that make up our operations.

“New technology, automation, data transfer and analysis will all assist us in increasing the utilisation of our resources,” he said. “Data is essential, but if it is not being looked at then we are just gathering data for the sake of it. We need to continue to increase the levels of engagement between all stakeholders.”

He concluded: “We are doomed to failure unless we take our people with us and are prepared to question and be challenged.”

PETRA CEO, Penny Stewart, meanwhile, homed in on machine learning, which, she said, powers “digital twin prediction, simulation and optimisation to increase mine productivity, efficiency and yield, by showing engineers and supervisors how to reproduce their ‘best performance’ 24 hours a day, seven days a week”.

She added: “PETRA’s MAXTA™ Suite digital twin applications provide platform agnostic software-as-service operational decision support across the mine value chain ̶ from resource engineering through to processing plant set point optimisation.”

Day two of the event began with a presentation on sustainability by Henrik Ager (pictured), President, Sandvik Mining and Rock Technology, explaining how critical it is for long-term performance.

“Driving productivity and greenhouse gas efficiency together is going to be key for us at Sandvik, improving productivity and greenhouse gas efficiency will be the best way for us to add value for our customers,” he said. “My view is that the more we link our sustainability targets to normal business targets and find ways to combine them to achieve a common good, the better chance we have to deliver on them.”

Also, during the second day, delegates had the opportunity of a virtual visit to several Sandvik customers, including: Northparkes Mine (Australia), Resolute Mining Syama mine (West Africa), RedBull Powder Company (New Zealand) and Aeris Resources Tritton mine (Australia).

Harry Hardy, General Manager Customer Accounts, Applications Engineering and Marketing, Sandvik Mining and Rock Technology, Sales Area APAC, said the company often gets asked for reference cases and data to illustrate the value and payback of digital solutions. “Over the two days of the conference, our customers were able to share their own experiences and quantitatively demonstrate how our solutions have helped increase their productivity, reduce their production costs and increase their safety.”