Sandvik rolled out Rotary Geo this month — software that reads data off rotary blasthole drills to flag changes in rock hardness. Here’s what this really means: the drill bit has always been the most honest geologist on site. It doesn’t publish press releases. It just grinds through rock, and how much energy it burns doing it tells you exactly what’s down there. Sandvik has finally packaged that basic truth into a product.
The software runs on Sandvik’s i-series rotary drills fitted with TIM3D navigation, pairing an onboard analysis algorithm with their iLink Data Interface. No extra hardware, no retrofitting, no rig-down time. That matters more than the marketing suggests — the graveyard of mining tech is full of promising gadgets that died because crews wouldn’t bolt them onto machines or wait on installation windows.
The mechanics are straightforward. As each hole advances, Rotary Geo records drilling parameters and calculates specific energy — energy consumed per unit volume of rock. Higher specific energy, harder rock. Simpler still: it’s a proxy for ground conditions, delivered hole by hole. This isn’t the first time we’ve seen this circus — measurement-while-drilling has been kicking around the industry for decades. The difference is that the data pipelines finally caught up with the concept, and now the analysis happens onboard instead of in a consultant’s spreadsheet three weeks later, when the pit has already moved on.
The practical uses are where the value lives. Teams can adjust drilling parameters in real time, tighten up blast designs, and right-size explosive loading. Engineers can fold the results into longer-range planning. Anyone who’s spent time around a mine knows what happens when blast design is built on stale or generalized geology: poorly fragmented muck, digability problems at the shovel, boulders choking the crusher, and energy costs ballooning downstream. Bad fragmentation is a tax you pay at every subsequent stage of the process. Software that trims that tax, even modestly, pays for itself quickly.
The iLink interface lets crews pull results hole-by-hole immediately after drilling. That speed matters in specific conditions — and the origin story here is telling. Sandvik developed the thing with a customer dealing with heavy groundwater, where explosive charges had to go in fast after drilling before holes flooded. In wet ground, the window between drilling and loading is measured in hours, sometimes less. Traditionally you either sent samples off for assay and hoped, or you guessed. Guessing with explosives and groundwater is how you end up with misfires, wet holes that won’t detonate properly, and a re-drill bill nobody wants to sign.
During development testing, the customer’s geology team verified the algorithm’s interpretations against their own models. The results flipped two assumptions: softer rock where the geologists expected hard ground, and harder rock where they expected mixed conditions. That’s the quiet, unglamorous value proposition. Not a revolution — a correction. Geology models are interpolations from sparse drill cores, and any tool that adds thousands of additional data points across a blast pattern will find the places where the model and the ground disagree. The ground wins every time. Better to find out from a software readout than from a shovel operator cursing through a patch of unbroken cap rock.
The data is georeferenced and visualized onboard, so operators can watch rock conditions shift across a pattern and adjust as they go. For full-pattern analysis across larger datasets, everything flows into the My Sandvik Onsite platform database.
Now, my skeptical take, because there’s always one. First, this is vendor-developed, vendor-verified — at least so far, tested in collaboration with a single customer under specific ground conditions. Specific energy as a hardness proxy is sound physics, but it’s sensitive to things other than rock: bit wear, feed pressure, operator behavior, hole deviation. The algorithm presumably accounts for some of this, but “presumably” is doing a lot of work until multiple operations publish independent validation across varied geology. Ask for the confusion matrix, not the case study.
Second, watch the platform economics. The hardware story is clean — no additional equipment on i-series drills. But that means you’re in Sandvik’s ecosystem, buying Sandvik iron, running Sandvik software, storing data on Sandvik’s platform. Interoperability and data portability are the questions to ask before you’ve got three years of blast history locked in a proprietary database. I’ve watched enough vendor lock-in plays to know the subscription usually arrives after the adoption.
Third, don’t let anyone sell this as autonomy or AI-driven mining. It’s measurement and interpretation — useful, incremental, and honestly valuable precisely because it isn’t oversold. The mining tech space has cycled through more hype waves than I care to count: the blockchain-in-supply-chain nonsense, the drone everything era, the autonomous-haul truck valuation froth. The stuff that actually stuck — better sensors, better data plumbing, faster feedback loops — was never sexy. It just quietly cut costs per tonne, which is the only metric a mine manager answers to.
For operators evaluating this: the math to run is simple. Estimate your current cost of blast-quality variance — rework, dilution from overbreak, secondary breaking, mill throughput swings from inconsistent feed. Compare that against the software cost and the integration effort on an existing i-series fleet. If you’re not already running i-series drills with TIM3D, add the upgrade cost and rerun the numbers. Payback in wet-ground or hard-rock operations with meaningful geology variance should be short. In uniform, soft, dry ground, the case is thinner — you’re buying insurance against a risk you barely carry.
Bottom line: good tool, sensible application, honest problem being solved. Just do your own diligence before treating a vendor’s development partner success story as proof at scale.
Source: https://im-mining.com/2026/11/12/sandvik-rotary-geo-turns-drilling-data-into-rock-insights/
