The importance of being … consistentPosted on
The search for productivity improvements is pervasive in the mining industry and MRE software are no strangers to the quest for speed seen in all operational processes. But that quest, whilst valid and sound, should not come at the price of quality, optimality or consistency in the manner information is treated.
Resources Workflow, an integrated workflow for mineral resource modeling integrated into Isatis.neo Mining Edition, ensures consistency all along the estimation workflow:
- Consistency between geological modeling and resource estimation thanks to a fully integrated approach.
“Isatis.neo Mining Resource Workflow reconciles the geological model and the geostatistical block model in a dynamic way.” Institut des Sciences de la Terre, Sénégal.
- Consistency between original data values and their normal score transforms. While benefitting from variographic analysis in the gaussian space (where the impact of outliers is significantly reduced and the underlying variographic structure better revealed), users will only access the variogram in the real space for easier understanding and use. Isatis.neo Resources Workflow navigates to and fro in a totally transparent manner for users, allowing them to implement a change of support, kriging, uniform conditioning, and simulations in record time, all this with very few mouse clicks.
“Isatis.neo Mining Resource Workflow has allowed us to explore the value of Recoverable Resource Estimates, specifically via Conditional Simulations, across various industrial minerals. The structured workflow approach and tailored support from Geovariances have made these techniques accessible to a broad range of users and increased their use.” – Imérys, France.
- Consistency when reporting resources. Once the estimation process is over, all results end up within a single coherent report combining local and global resources, over the whole deposit, a specific domain, and/or a group of domains, for the support size of your choice (block or panel), for a given mineral or several correlated minerals, for the cut-off list of your choice, computed using any given methodology, kriging, uniform conditioning and/or simulations.
This ensures robust estimates are produced fast with no alteration of the level of confidence that can be put on the resources.
Nuclear Decommissioning (7)
Oil & Gas (6)
Contaminated sites (5)
Contaminated sites management
Drill hole spacing analysis
Ice content evaluation
Mineral resource estimation
Monitoring network optimization
Recoverable resource estimation
Soil contamination mapping
Spatial Sampling Density Variance
Water quality modeling