Grade Estimation Case Studies

Improved ore grading accuracy with Vulcan

Ore grading at Cleveland Cliffs increased the consistency of the crude ore blend and in turn ensured predictable pellet quality. Since introducing Vulcan, 90% of crude ore has met quality targets.

Maptek Roy Hill smart mining partnership

Maptek and Australian iron ore producer Roy Hill are collaborating on deep learning, AI and immersive technologies to accelerate orebody knowledge and inform upstream planning.

Modelling geological variance

Maptek Vulcan is employed to visualise and analyse complex vein geometries, providing better understanding of gold distribution and grade.

Statistical framework for Potash grade

Potasio Rio Colorado explores for potash in Argentina. A Vulcan simulation helps define a statistical framework for quantifying grade uncertainty where data is scarce.

Simulating Zinc grades

A geostatistical approach sees the application of the Sequential Gaussian simulation module in Vulcan to study uncertainty in zinc grades for the Francisco I. Madero deposit in Mexico.

Good grades at Sino Iron

CITIC Pacific Mining uses Maptek Vulcan grade control tools to ensure that the most economically viable areas of the resource are delivered to the crushers.