Skip to content
  8 MIN READ
Home » Declining Ore Grades: Why Real-Time Analysis Is Now a Process Control Essential

Declining Ore Grades: Why Real-Time Analysis Is Now a Process Control Essential

Real-time analysis is essential to operator in control room
Photo credit: magnific.com

The Core Problem: Less Metal, More Complexity

Mining has always been a business of margins. But today, those margins are under pressure in a way that is structural and long-term rather than cyclical. Across base metals and precious metals alike, the industry is working with ore grades that are measurably lower than they were one or two decades ago. The richest and most accessible deposits have already been developed. What remains is often lower in grade, more variable in composition, and harder to process.

This trend is not happening in isolation. It coincides with a period of rising commodity demand driven by the global energy transition. Copper is essential for electrical infrastructure, EV batteries, and renewable energy systems. Gold prices have remained at historically elevated levels, making the reprocessing of old tailings financially attractive for the first time in many operations. Rare earth elements are in strong demand as countries seek to secure domestic supply chains. Nickel and manganese are critical for battery chemistries, including newer formulations that support higher energy density at lower cost.

The result is a paradox: commodity prices are supporting investment in mining, yet the ore bodies being developed require more precision and more careful process management to deliver acceptable returns. The economic tolerances are tighter, the cost of losing valuable metal to tailings is higher but for those who do well there will be a good profit. And the variability of incoming ore in grade, mineralogy, and particle size distribution makes process control more difficult than ever.

The answer to this challenge is not to work harder, it is to work with better information. And that is where online analysis enters the picture.

What Online Analysis Actually Does for a Processing Plant

In a traditional concentrator plant, process control decisions are based on laboratory assay results. Samples are collected from key points in the circuit and sent to a laboratory for analysis. Depending on the operation, results may come back in one to several hours. By the time the data reaches the metallurgist or process operator, the material that was sampled has long since moved through the plant.

This time lag is not merely inconvenient. In a flotation circuit processing ore with variable head grades, a delay of even 30 to 60 minutes between a change in the ore composition and a corrective action by the operator can result in meaningful losses. Reagent dosing may be wrong, air flow and stirring of flotation cells may be suboptimal, in worst case increasing cost while at the same time not increasing the output at all. The balance between recovery and concentrate grade may be drift in the wrong direction for a while before it is noticed.

Online analysis solves this by reducing the time from sampling to result to only minutes. Slurry from key sample points is continuously pumped to an on-stream analyzer, where the elemental composition is measured automatically and in real time. Results are delivered to the control room or directly to an automated control system within seconds after the result was calculated by the machine. Operators can see what is happening in the process right now, not what was happening an hour ago.

The practical benefits of this capability are well established. Faster detection of changes in head grade allows operators to adjust reagent additions before recovery drops. Monitoring concentrate grade in real time prevents off-specification product from reaching the final output. Watching tailings grade continuously makes it possible to confirm that recovery targets are being met, or to act immediately when they are not. Across all of these functions, the value comes from the same source: accurate, timely data enabling better decisions.

As mining operations look toward increasingly automated process control, where algorithms rather than individual operators adjust reagent and operating parameters in real time, the quality and frequency of online analysis data becomes the foundation on which that automation is built. A system that updates every 20 to 30 seconds enables a class of closed-loop process control that simply is not possible with laboratory analysis on a one- to two-hour cycle.

Xore Boxray: Built for the Realities of Process Control

Xore is a Swedish engineering company headquartered in Skellefteå, a region with deep roots in base metal mining, and one of the world’s leading suppliers of on-stream analyzers for the mining industry. Our Boxray product line is based on X-ray fluorescence (XRF) technology, which excites slurry samples with X-rays and measures the characteristic fluorescence radiation emitted by different elements. This allows simultaneous measurement of multiple elements along with percent solids in the slurry.

Two instruments define the Boxray range. The Boxray 24 is designed for large concentrator plants and complex circuits requiring high data throughput. It carries 24 individual measurement cells arranged in a carousel configuration, allowing a single analyzer to cover 24 separate sample streams, from flotation feed through multiple flotation stages, to concentrate and final tailings, with a full cycle completed in under eight minutes. Individual sample measurement times can be as short as 20 to 25 seconds. Because each stream has its own dedicated measurement cell, there is no risk of cross-contamination between high-grade concentrate samples and low-grade tailings samples, which is a genuine technical concern when a single cell is used for multiple streams.

The Boxray Compact is the more flexible option for operations that need fewer sample points or have space and budget constraints. It uses two measurement cells on a sled, with a multiplexing sampling system capable of handling up to 16 sample streams, eight to each cell. A dedicated third cell for an internal reference sample enables continuous self-calibration. The Boxray Compact is suitable not only for concentrator plants but also for hydrometallurgical applications including leaching solutions, electrolytes, and process water treatment.
Both instruments are designed for high availability in industrial environments. The secondary target excitation method used in the Boxray design requires lower radiation levels while maintaining high measurement quality, and the architecture minimizes the number of sensitive moving components. Remote access via LAN connection means that Xore’s service team, or the plant’s own technical staff, can monitor and troubleshoot the analyzer from anywhere in the world without requiring a site visit for routine diagnostics.

Two Applications in Practice

Flotation control at ultra-low head grades

At a large open-pit copper mine in northern Europe, the average head grade is approximately 0.2% copper — extremely low by any standard. A single Boxray 24 monitors the entire flotation circuit, measuring individual streams in as little as 25 seconds. Tailings grade runs below 0.05% copper, more than ten times lower than the feed, requiring very high detector sensitivity to measure reliably. The plant sustains copper recovery in the range of 85–90% with a single analyzer, where comparable operations using slower systems typically need multiple units to achieve the same coverage. For more details: Xore customer case study

Electrolyte monitoring in copper refining

At a world-class copper smelter, a Boxray Compact has monitored copper concentration in the electrolytic refinery’s sulphuric acid electrolyte for over 15 years. Maintaining electrolyte composition within its optimal window is critical for cathode quality and energy efficiency — something manual sampling at multi-hour intervals cannot reliably support. A second Compact on the same site monitors heavy metals in process water, providing both a tool for managing water reuse and a continuous compliance log for environmental regulators. Read the full story: Xore customer case study

A Future-Proof Investment

The economics of online analysis have always been straightforward to state, if sometimes difficult to quantify precisely. When copper is trading at current prices, a sustained improvement in recovery of even a fraction of a percent can represent millions of dollars per year in additional revenue at a large operation. The investment in an on-stream analyzer, including installation, commissioning, and maintenance, is typically recovered within a matter of a year when the system enables meaningful recovery improvements.

But the case for online analysis in 2026 goes beyond the direct recovery argument. As the industry moves toward automated and semi-automated process control, where algorithms adjust reagent dosing, air flow, and other parameters in response to real-time process data, the on-stream analyzer becomes the essential sensor at the heart of the system. A plant that invests in a high-performance analyzer today is building the data infrastructure that advanced process control will require tomorrow.

For operations processing declining ore grades which, in practice, means most operations globally, this is not a marginal efficiency gain. It is a fundamental requirement for remaining competitive. The ore bodies being developed now demand tighter process control than was needed when grades were higher. Online analysis is the tool that makes that control possible.

Xore’s Boxray analyzers have been developed specifically to meet the most demanding conditions in this space; very low detection limits, fast cycle times, high availability in industrial environments, and the capacity to monitor an entire processing circuit with a single instrument. Whether the application is copper flotation at ultra-low head grades, electrolyte control in a refinery, or environmental monitoring of process water, the underlying logic is the same: the quality of process decisions is limited by the quality and timeliness of process data.

Online analysis raises that ceiling.