Mining Extraction

Reduce your operational costs

Low head grades contribute significantly to costs in the mineral processing plant. By sending mine blocks containing uneconomical ore to the plant, the mining operation effectively reduces the head grade further, which contributes to a greater overall cost in mineral processing. An increase in operating costs combined with reducing ore quality is driving process improvement at the mine site. The ability to artificially improve the head grade through selective processing is a key value driver.

Unique ZEISS quantitative EDX based technology further simplifies your workflow through the ability to use automated mineralogy data to calibrate the mass spectrometer. This enables high throughput screening of specimens.

  • Identify the relative grade and texture of an individual mine block at the mine site to direct the feedto individual stockpiles that supply particular process streams (blending strategy) or even straight to waste to artificially
    increase head grade (early gangue rejection);
  • Rapidly characterize mine blocks to enable them to be processed intelligently
  • Effectively increase the head grade and improve the quality of the feed going to individual mineral processing streams using high throughput, quantitative EDX-based automated mineralogy on mine block samples at the plant
  • Generate data time-dependent data on-site.

Material handling and comminution represent some of the largest costs in the mining lifecycle, but are also areas where the largest gains can be made in reducing operational costs. Robust geometallurgical and mine models will help guide mine strategy, reduce feed contamination and optimize blending strategy.

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