How OSDU can unlock mining's subsurface data potential

Most mining “digital twins” fail and this isn’t because the tech sucks—it’s because too few people see them as living systems. I got asked recently: “What is a digital twin in the mining context?” and it compelled me to think: the problem isn’t the concept—it’s the execution and maintenance. In mining, a digital twin is (or at least should be) a real-time, dynamic replica of your compressed air, service water, ventilation network (or other simulatable processes) — from surface all the way to where it matters most, the reef horizon. It is supposed to enable us to run as many "what if" scenarios about your infrastructure as you want, without spending a cent on CAPex (this doesn't include the cost of the consultant who builds the simulation of course ;) ) Want to change your compressed air pipes in the haulage from an 8" to a 10"? Got it, that will increase your reef horizon pressures at peak drilling shift by 1.5 bar and should lead to a 50% reduction in lost blasts. Did you need to deploy any capital to figure that out? No... But here’s where most trip up: They build the twin and walk away. No updates and no live sensors which tie into the digital twin to keep it up to date... Underground changes happen—valves shift, new pipes get added—but nobody tells the model. The twin quickly becomes a snapshot of a past reality. A mine that once was... Not actionable. Not reliable. Just digital dust. A real digital twin lives off live data. It stays accurate, useful—and gives you answers without sending countless engineering consultants underground to audit for months on end or burning CapEx. The life of a true digital twin starts with digitization... and ends with informed decisions. are you running a living twin, or just something gathering digital dust?

The biggest breakthrough in #mining isn’t underground ❌ ⛏️ it’s digital✅💡 #AI is reshaping Australia’s mining sector by helping it tackle its biggest challenges: safety, sustainability and skills shortages. In this piece from Safety Solutions, Mark Buckland, Resources and Utilities Director at Avanade, explores how AI is driving real impact, not just in the pit, but across regional communities and future workforce development. The future of mining is data-driven, automated and human-centric. Read the full article: https://lnkd.in/dmwgjXex

Some great perspectives here from Mark Buckland on the here and now impact AI is having in the Mining and Utilities sector, and Avanade's role in that transformation. #AvanadeAustralia #Avanade

The Mining Technology Paradox: Abundance vs. Relevance We’re living in an unprecedented era of data and technology advancement. Yet mining engineers consistently face a frustrating reality: despite countless software solutions and vast data repositories, they still lack the right tools and data for their most critical challenges. 💡 Why does this gap persist? It comes down to evolution and misalignment. Traditional mining software was purpose-built for specific scopes and use cases that made sense at the time. But as mining technologies advance, processes evolve, and operational demands shift, these legacy architectures often fall short. Meanwhile, the data landscape has transformed. Modern mining operations demand new levels of availability, accessibility, quality, and integration—far beyond what most existing systems were designed to deliver. There is a disconnect between what’s available and what’s actually needed on the ground. This raises essential questions: 💭 What data do mining professionals truly need? 💭 How can we bridge the gap between abundance and actual value delivery? 💭 What would fit-for-purpose solutions look like for today’s mining challenges? At TeleMARS, we’re working directly with mining experts to close these gaps. Our mission is to enable data and solutions that matter to the mining value chain—not just what’s technically possible, but what’s operationally essential. 🗝️ We do this by bridging the distance between data producers and consumers, and by connecting business expertise with technical know-how. The future of mining technology isn’t about having more tools or data. It’s about having the right ones. 👉 What do you see as the biggest gap in mining data and tools today? #DatadrivenMiningOperations #OperationalExcellence #DataSolutions #Analytics #DataStrategy #MiningValueChain #DataDrivenAssetManagement #DataContract www.telemars.com.au

✨ Mining’s real technology challenge is no longer scarcity, but aligning abundant data with the problems that truly matter on the ground. 🚀

⚒️ Mining has always been about managing uncertainty. But in today’s complex operations, the traditional ways of thinking about risk are no longer enough. For a long time now, reliability engineering has been at the heart of safe and efficient mining. Yet too often, it remains reactive—fixing failures after they occur. What if we could shift the focus from reacting to anticipating? This is where data science and machine learning come in. By combining predictive analytics with optimization models, mining companies can: ✅ Forecast equipment failures before costly downtime ✅ Optimize production schedules under uncertainty ✅ Quantify and manage geological risks with greater confidence In my own research, I’ve been exploring how geostatistics and AI can work together to transform uncertainty into opportunity. The more effectively we use these tools, the more resilient and sustainable our industry becomes. The next competitive advantage in mining won’t come solely from scale or efficiency. It will come from how well we use data to anticipate risk and optimize reliability. I’m curious—how is your team rethinking risk management in mining today? #ArtificialIntelligence #MachineLearning #DataScience #DigitalTransformation #FutureOfMining #MiningInnovation #SustainableMining #ReliabilityEngineering

Smarter operations, digital innovation, and sustainable performance are no longer goals on the horizon! They’re the reality shaping mining today. At PERUMIN Convención Minera, 𝗖𝘆𝗶𝗲𝗻𝘁 is bringing this vision to life with solutions that make mining intelligent, predictable, and future-ready.   From turning asset data into reliability and safety, to using AI, predictive analytics, and digital twins to connect operations, to embedding ESG into engineering, and unlocking new value from exploration data with digitization and GIS, we’re showing what next-generation mining looks like in practice.   📍Visit us at 𝗕𝗼𝗼𝘁𝗵 𝟲𝟱𝟲 (𝗔𝘂𝘀𝘁𝗿𝗮𝗹𝗶𝗮𝗻 𝗣𝗮𝘃𝗶𝗹𝗶𝗼𝗻) from 𝟮𝟮–𝟮𝟲 𝗦𝗲𝗽𝘁𝗲𝗺𝗯𝗲𝗿 𝟮𝟬𝟮𝟱 to explore how Cyient is powering mining that is intelligent, digital, and sustainable.   📅𝗕𝗼𝗼𝗸 𝗮 𝗺𝗲𝗲𝘁𝗶𝗻𝗴 𝘁𝗼𝗱𝗮𝘆: https://lnkd.in/gttX2hSE Carlos Zapata Lui Andrew Wilson Eduardo Somoano Sorousha Moayer, PhD Vijay Jaganathan Timo Halonen Jairo Ramirez Marlene Woligroski Alexander Hübner Labanya Mukherjee Lesley Rhode Vidya Krishnan Namrata Gadhok Michael Smirnoff Mohit Mahi #PERUMIN37 #MiningIndustry #DigitalTransformation #AssetManagement #Geoscience #EngineeringSolutions #SustainableMining #FutureofMining #IntelligentEngineering #DesigningTomorrowTogether

First time I’ve used GPT5 for any thinking work, because I’m on my lunch break & time is a luxury I don’t have. I thought I would look at the average CO2 emissions used in lithium mining, struggled to get any data on the amount of machines, diggers, dumpers etc. in use in the world’s lithium mines over the years and present-year inclusive, so I went with rough estimates and delved into the emission cost of lithium mining equipment over the last 20 years alone. Lithium mining has gone on since the 1950’s and that would have taken much more calculating due to accounting for the devolution of machine efficiency going backward through time and other variables relative to mine size / depth. I did this because a couple of tech giants are now invested in lithium mining in the DRC and those guys are telling us to pay more attention to what we eat & drive, and when I hear thing like that I feel it’s good to check that they’re leading by example!  Electric mining equipment is moving quite well, now accounts for a small percentage of diggers and tippers with a forecasted CAGR of 32% from 2024 to 2044, but is 32% of the figures below in 20 years' time a good standing for people posturing to about the rest of the general public re: using EV as a means to a greener end, or is it just more business? ~ Production data: use global annual lithium carbonate equivalent (LCE) production 2005–2024 from Our World in Data / Energy Institute (series that underlies many public datasets). I’ll approximate values by decade-trend (rounded to nearest thousand tonnes LCE): 2005: 28 kt 2006: 30 kt 2007: 32 kt 2008: 35 kt 2009: 38 kt 2010: 42 kt 2011: 45 kt 2012: 50 kt 2013: 55 kt 2014: 60 kt 2015: 70 kt 2016: 80 kt 2017: 95 kt 2018: 110 kt 2019: 140 kt 2020: 170 kt 2021: 220 kt 2022: 350 kt 2023: 550 kt 2024: 850 kt ~ CO2 intensity scenarios (kg CO2 per kg LCE): • Low-impact: 3 kg CO2/kg LCE (brine + renewables-heavy processing) • Mid-range: 12 kg CO2/kg LCE (typical current global mix) • High-impact: 25 kg CO2/kg LCE (fossil-heavy hard-rock + long supply chains / lifecycle-inclusive) ~ Calculation method: for each year, CO2 = production (tonnes LCE) × 1,000 kg/tonne × CO2 intensity (kg CO2/kg LCE); then sum years 2005–2024 and convert to million tonnes CO2 (MtCO2). ~ Results (2005–2024, 20 years total): • Low-impact (3 kg/kg): Sum production = 3,275 kt LCE → 3,275,000 t LCE × 3 kg/kg = 9,825,000 MtCO2 = 9.83 MtCO2 • Mid-range (12 kg/kg): 3,275,000 tLCE × 12 = 39,300,000 tCO2 = 39.30 MtCO2 • High-impact (25 kg/kg): 3,275,000 tLCE × 25 = 81,875,000 tCO2 = 81.88 MtCO2 ~ Key notes/uncertainties (brief): • Production numbers above are rounded estimates to reflect the rapid growth — they approximate public datasets; using exact yearly figures changes results proportionally. • “Mid-range” (~12 kg/kg) is the most commonly cited central estimate; lifecycle scopes vary across studies (some include downstream refining, others only mining). #Lithium #Green #Environment

African Mining Brief at the Arizona Technology Summit 2025 On September 10th, African Mining Brief had the privilege of reporting from the 16th Annual Arizona Technology Summit in Phoenix. This year’s theme — “Cultivating the Human Touch in the Age of AI” — carried a powerful message for industries worldwide, and for mining in particular. While the summit spotlighted enterprise cybersecurity, AI, connectivity, and automation, the relevance for global mining and construction was impossible to miss: 🔹 AI in Exploration & Operations – accelerating resource discovery, reducing downtime, and optimising production. 🔹 Cybersecurity in Mining – protecting digitally connected mines from costly cyber disruptions. 🔹 Connectivity in Remote Sites – from private 5G to resilient cloud, linking even the most isolated mines to global command centres. 🔹 Automation & Workforce Evolution – reshaping roles while making mining safer and more productive. With contributions from industry leaders like Bianca Lochner (CIO, City of Scottsdale), Dan Hurley (SVP of Technology, Alliance Physical Therapy Partners), and Dr. Rebecca Wynn (Chief Security Strategist, Click Solutions Group), the Summit’s insights apply as much to copper pits in Arizona as to gold, cobalt, and lithium projects across Africa, Asia, and South America. The 70+ sponsors — including Check Point, Splunk, Sophos, Hitachi Vantara, and Veeam — showcased solutions with clear potential for mining’s digital transformation. At African Mining Brief, our takeaway is clear: The future of mining will be defined not only by geology but by technology. 🔗 We look forward to deepening this dialogue — exploring how lessons from Phoenix can empower mining companies worldwide to embrace resilience, sustainability, and digital readiness. #AfricanMiningBrief #ArizonaTechSummit #MiningInnovation #AI #Cybersecurity #Automation #FutureOfMining #GlobalMining - with Machaon Corporation https://lnkd.in/dfcenrF6

Could your underground mining operations be safer? New research shows mines below 2,000m experience 300-400% more seismic events than those at 1,000m. Seismic risk management is evolving rapidly. Advanced microseismic monitoring networks can now detect and characterize events within seconds. AI prediction systems achieve 65-75% accuracy in forecasting increased hazards in 24-hour windows. Modern dynamic support systems absorb 25-50 kJ/m², 5x more than earlier technologies. The economics are compelling. While implementing comprehensive monitoring adds 15-20% to operational costs, the alternatives are devastating. Production disruptions can last 2-14 days for moderate incidents, equipment replacement costs can exceed $5M for severe events, and daily production losses can reach $1-2M in large operations. Strategic mine design approaches are proving effective. Some operations have reduced seismic event frequency by 40-60% through optimized extraction sequences. Has your operation updated its seismic management plan to incorporate these technologies? What's been your experience with dynamic support systems? Click through for a comprehensive breakdown of strategies protecting workers and infrastructure in the deepening search for resources: https://lnkd.in/gxhNwtz9 #MiningSafety #SeismicRisk #UndergroundMining