The success of complex DFN models largely depends on the underlying geological assumptions used to build them, and there is often large uncertainty associated with conventional data inputs.

The RockMass Eon can collect higher precision data to reduce the uncertainty in the input data.

The software development team at Itasca Consulting Group, Inc. worked closely with RockMass to streamline the workflow of developing higher confidence and statistically backed DFN models, using the Glencore Kidd Operations in Timmins, Canada as a case study.