Improving Financial Operations in Mining

When KPIs are measured in silos. Every department hits its targets—while the mine misses its goals. Our last discussion on silos in mining education sparked an overwhelming response. Many of you pointed out these silos don’t stop at education—they shape how mining companies operate. Here’s what you shared: ✅ Geologists model resources but often miss downstream mining and processing needs. ✅ Mine engineers focus on moving tonnes but don’t always consider processing constraints. ✅ Metallurgists optimize recovery but lack insight into ore variability, setting them up to fail. But siloed KPIs hurt operations. Mining succeeds by maximizing metal recovery and throughput at the lowest cost. Yet, companies break this into departmental KPIs that reward local efficiency at the expense of overall performance. Here’s how that plays out: 📍Mining teams hit targets by extracting more tonnes—whether the plant can process them or not. ⚡Processing teams cut energy costs, even if it reduces throughput and recovery. 🔧 Maintenance minimizes downtime but defers repairs, leading to bigger failures later. 💸 Procurement buys the cheapest equipment, causing breakdowns and lost productivity. Each team hits its targets—while the mine falls short. Why does this happen? Company culture. Organizations set siloed KPIs because they manage operations in silos—separating budgets, encouraging competition instead of collaboration, and rewarding local wins over profitability. And they ignore one critical principle: 👉 Culture eats strategy for breakfast. Success depends on aligning incentives so every team works toward the same goal. This is where value-chain thinking matters. Mining must align every step of the process, from geology to the final product. ✅ Geologists must provide data that mining and processing teams can act on. ✅ Mine engineers must optimize feed prep for plant performance. ✅ Metallurgists must balance smelter requirements with environmental goals. This isn’t new—it’s Follow the Money 101. Yet teams optimize for their own success, not the mine’s profitability. The result? ❌ Poor communication disguised as “alignment meetings” that fail to drive real change.  ❌ Departmental KPIs that create trade-offs rather than shared wins.  ❌ Budgets that encourage departments to hoard resources instead of collaborating. How do we break free from siloed thinking? 1️⃣ Align KPIs with overall performance. ✅ Measure teams by their contribution to mine-wide success. ✅ Reward mining teams for delivering the right ore, not just more ore. 2️⃣ Break down budget silos. ✅ If cost savings in one area increase costs elsewhere, it’s a hidden expense. ✅ Empower managers to spend where it actually delivers results. 3️⃣ Build cross-functional teams. ✅ Use shared KPIs that require collaboration. ✅ Get geologists, engineers, and metallurgists aligned before problems arise. Until leaders fix this, the mine will keep falling short. What do you think? Let’s discuss.

Mining companies should treat resource drilling like option portfolios. Conventional drill planning is one of the largest sources of value destruction in the sector. A mining company that hedges its gold price or negotiates a streaming deal is acting like a bank. When that same company plans a $10m drilling program, it does not see it as an investment and thus underestimate the full cost of the program and its built in inefficiencies.  The most capital-intensive decision in the resource cycle is routinely made without the analytical frameworks that govern far smaller allocations of shareholder capital. The trouble starts with the curve of diminishing returns. Every resource conversion program follows one. The first holes generate enormous value, upgrading geological knowledge from speculation to confidence. Each subsequent hole contributes less. As a result, additional drilling confirms what is expected without changing a single decision the company will make. That’s how every metre drilled consumes resources that could create more value if drilled elsewhere. Real options theory explains it perfectly. The framework treats each drill hole as a purchased option on geological information. The cost is fixed. The upside is that a single hole can transform the economics of a deposit. But like any option, its value depends on what you already know. The first hole into an unexplored zone is a cheap call on enormous potential. The fiftieth into a well-defined block is an expensive premium paid for negligible incremental knowledge. The mining industry buys both at the same price The chain of resource classification makes the stakes concrete. An inferred ounce of gold carries a fraction of the market value assigned to a measured one. Each upgrade unlocks financing gates that were previously shut: streaming deals, project debt, and bankable feasibility. The drilling required to achieve each upgrade is the premium paid for that financial option. Pay it efficiently, and you create extraordinary leverage. Overshoot and you consume budget that could have opened floodgates at another opportunity. Objectivity's DRX was built around understanding and communicating the value of decreased returns - where many AIs tell you where to drill, we also tell you when it may be time to stop drilling. By generating multiple optimised drill plans across a range of budgets, and capabilities (e.g U/G vs surface, wedged vs. actively deviated)  and plotting them as an investment curve, it makes the options structure of a drilling program explicit. The steepest part of the curve shows where each dollar generates maximum classification uplift. The flattening region shows where you are overspending. The distance between an existing plan and DRX shows how much value conventional planning leaves behind - we call this the value triangle. Meet us at PDAC to learn more. Booth 623.

Sustainable profits create sustainable mines. Mine is losing money? It means it’s not accounting for all costs, including sustaining capital (SustEx). Many mines only consider operating costs (OpEx) when setting cut-off grades. This might make the deposit look larger and more profitable initially, but it’s misleading. Using just OpEx ignores the ongoing capital expenses required to keep the mine running. For example, when mines set a lower cut-off grade, they include lower-grade material, which reduces overall margins and cash flow. Imagine a mine with a total cost of $150 per tonne and a gold value of $50 per gram. Setting a cut-off at 3 grams per tonne gives a decent margin if the average grade is 5 grams per tonne. But if 20% of the material is only 2 grams per tonne, the average grade drops, slashing margins and cash flow by 30%. Mines that don’t include SustEx in their cost basis often find themselves in a cash flow crunch, unable to fund necessary environmental protections. In Central America, one mine lowered its cut-off so much that all operating profits went just to meet SustEx needs, breaking even with no returns for investors. This lack of funds also means they can’t afford proper environmental measures, leading to both financial and environmental failure. Including all-in-sustaining costs (AISC) in financial planning ensures that only profitable material is mined, improving overall margins and cash flow. This allows the mine to remain financially healthy and capable of funding environmental measures. This approach aligns with economic and environmental sustainability, supporting both profitable operations and responsible mining practices. It’s why the industry now sees AISC as the best practice for reserve estimation and life-of-mine planning.

Are your gold mining investments underperforming? 📉 The problem might not be the ore body, but your processing circuit. Many mining operations leak profits without even knowing it. The culprit? An outdated, one-size-fits-all approach to gold recovery that allows valuable fine gold to be washed away with the tailings. This is a direct hit to your ROI. 💸 Maximizing returns isn't about digging more—it's about recovering more. A modern, multi-stage recovery circuit tailored to the specific gold particle size of your ore is the key to unlocking the true value of an asset. 🔑 Here’s how a strategic approach looks: - 🧐 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: It starts with the ore. Is the gold coarse or fine? This single characteristic dictates the entire equipment strategy. - ⚙️ 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲𝗱 𝗘𝗾𝘂𝗶𝗽𝗺𝗲𝗻𝘁: Instead of a single, inefficient machine, a 'team' of specialized equipment is used. For fine gold, Centrifugal Concentrators use G-force to capture microscopic particles. For coarser, placer gold, high-capacity Spiral Chutes and Jigs are deployed to ensure no nugget is left behind. - ✨ 𝗧𝗵𝗲 𝗙𝗶𝗻𝗶𝘀𝗵𝗶𝗻𝗴 𝗧𝗼𝘂𝗰𝗵: A Shaking Table acts as the final purifier, cleaning the concentrate to a high percentage, ready for smelting. In my role at Kenosa International Minerals, I advise partners on precisely these types of strategic decisions. With over two decades of experience in facilitating major mineral deals and sourcing high-stakes mining equipment, I've seen firsthand that the most profitable operations are not the biggest, but the smartest. 🧠 They understand that the right equipment isn't a cost—it's a high-return investment. 📈 Ignoring your processing circuit could lead to millions in lost revenue. Don't let it happen to you. ⚠️ #MiningInvestment #GoldTrading #ROI #MineralProcessing #ExtractiveIndustries #Commodities #GoldMining #InvestmentStrategy #MiningEquipment #DueDiligence

The value of an integrated mine-to-market operation is lost to one core problem: mining systems are all stuck in silos. It’s fascinating to me when an entire industry is sitting on an obvious opportunity but is held back by problems that are, in hindsight, completely solvable. The mining sector’s struggle with the mine-to-market value chain is a perfect example of this. The potential is vast but realizing it depends on fixing two foundational issues: the organizational structure and, more critically, the underlying data and technology architecture. The organizational challenge is well understood. Professionals are often educated in rigid disciplinary silos, which they carry into their careers.  But the real enforcer of these silos is the technology itself. The tech landscape at most mines is a chaotic patchwork of disconnected, standalone systems. The fleet management software doesn't talk to the asset health platform, which has no connection to the ERP. This creates "data islands," where critical information is stored in isolated databases, making a holistic view of the operation impossible. Getting data from one system to another often means a tedious, manual process of exporting spreadsheets at the end of a shift, a technical limitation that makes any kind of intelligent, real-time coordination a fantasy. An integrated technology architecture, acting as a digital central nervous system, directly solves these problems. By connecting these disparate systems, it creates a "digital twin" of the entire operation, from the mine face to the customer's port. Call it a virtual model where you can run diagnostics, identify bottlenecks, and pinpoint the root causes of chronic issues like unoptimized and disconnected scheduling. Mind you, we are not trying to fix what's broken. Instead, we are building a smarter system. With this integrated view, you can finally achieve true margin optimization. In the nearest future we’ll have AI agents that can run thousands of simulations against this live data, testing the impact of on-the-ground operations, changing commodity prices or even shifting customer demand. This allows a company to shift from being a reactive producer just trying to hit tonnage targets to a proactive seller that can tailor its production plan to maximize profit in real-time. The system will also screen for operational risks by simulating the impact of potential equipment breakdowns or weather conditions. Going a step further, the AI can proactively predict equipment failures weeks in advance, turning operational risks into manageable business decisions.    The next generation of mining titans won't be the ones with the richest geological deposits. They will be the ones with the cleanest, most integrated data.

Does technology make mining profitable? Governments are subsidising critical-mineral projects, rattled by China's grip on rare earths and processing. If a new commodity supercycle is forming, mining companies will need to decide what to spend on. Many will be tempted to develop technology in-house. The evidence suggests they should be careful about which kind. Recently, I bought a research paper with the analysis of 81,254 mining patents filed between 1970 and 2009, matched against the financial results of over 7,000 companies in 62 countries. Here is what I found. Mining companies with larger patent portfolios do tend to earn higher returns on assets. But the relationship is modest, and it is concentrated in a single technology area: mine operation. Patents in this field are associated with meaningfully higher profitability, and the effect roughly doubles during periods of high commodity prices, when even small cost savings per tonne translate into large gains across high volumes. This makes sense. Mining companies sell undifferentiated commodities at market prices. A tonne of copper from the USA is worth the same as a tonne from Chile. The only lever available is cost per unit of production, and operational technologies directly reduce it. Companies that improve how they dig, shore up, and ventilate are improving the one thing that feeds straight into margins. The picture is less encouraging elsewhere. Transport technologies show a negative association with profitability when developed in-house. These are general-purpose systems that mining companies lack the scale to build efficiently. Buying them is cheaper than building them. Blasting patents similarly drag on returns. Exploration, processing, metallurgy, refining, environmental tech show no statistically significant link to profitability at all. Spreading innovation efforts across many technology fields also hurts. Companies whose patents are distributed evenly across the nine categories earn lower returns than those that concentrate. The penalty grows for more recent patent portfolios. A mining company that tries to innovate in transport, automation, and environmental technology simultaneously is just diluting instead of hedging. The timing dimension matters as much as the technology choice. The innovation-to-profitability link is statistically insignificant for patents filed between 1970 and 1994, a period of mostly flat commodity prices. It becomes strong and significant for the 1995 to 2009 cohort, which coincides with the last supercycle. Cost-reducing innovation is an asset that appreciates when prices rise. Companies that had already built operational efficiency before the boom captured outsized returns during it. Those who started investing after prices spiked were too late. If another supercycle is coming, the mining companies best positioned to profit from it are those that spent the quiet years making their core operations fractionally cheaper.

🏗️ The Pulse of Comminution: Why the BWI is Your Plant’s Economic Engine In mineral processing, the Ball Mill Work Index (BWI) is far more than a laboratory result—it is the fundamental "grindability" metric that dictates the financial health of your entire operation. If you aren't monitoring your BWI, you aren't managing your margins. Here’s why: 🔬 The Science: Bond’s Law Rooted in the "Third Theory of Comminution," the BWI posits that energy required for size reduction is proportional to the new crack tip length created. W = 10 x Wi x [(1 / √P80) - (1 / √F80)] -W: Specific energy consumption (kWh/t) -Wi: Bond Work Index (kWh/t) -P80 / F80: Product and Feed size (microns) 🚀 4 Reasons BWI is Critical for Your Operation 1️⃣ OPEX Forecasting Comminution can account for 50% to 70% of a mine’s total energy consumption. BWI allows engineers to forecast power costs with precision. A small calculation error can lead to millions in unexpected annual electricity spend. 2️⃣ Equipment Sizing & CAPEX BWI is the "gold standard" for sizing ball and rod mills. It determines whether you need a 5MW or a 10MW motor. Get it wrong, and you risk under-sizing (missing targets) or over-sizing (wasting capital). 3️⃣ Operational Troubleshooting Is throughput dropping due to mechanical issues or harder ore? By comparing your Operating Work Index (real-time data) to your Lab Work Index, you can quantify efficiency. If the operating index is higher, your mill is underperforming. 4️⃣ Geometallurgy & Mine Planning Ore bodies are not uniform. Mapping BWI across a deposit allows for proactive blending, ensuring the plant maintains a steady production rate regardless of which zone is being mined. 💡 Pro-Tip for Process Engineers Don't forget the Efficiency Factors (EF)! Bond’s standard equation assumes "ideal" conditions. For real-world accuracy, always apply Rowland’s efficiency factors (like EF4 for dry grinding or EF5 for diameter scaling). The Bottom Line: Whether you are characterizing new material or optimizing an existing circuit, the BWI remains the most vital tool in our toolkit for driving efficiency and sustainability in mining. How often is your team reconciling Lab BWI with Plant performance? #MineralProcessing #MiningEngineering #Metallurgy #Comminution #BondWorkIndex #ProcessOptimization #SustainabilityInMining #MiningTech #Engineering