Geovariances Minestis 2016 Minestis provides the geostatistics needed for reliable domain and resource modeling through a simplified and secure approach. It makes the recommended resource evaluation techniques (like uniform conditioning or conditional simulations) easy to implement by non-experts in geostatistics. Minestis takes you through every step of your resource modeling project, from data loading and domain definition to variography and resource evaluation All-in-one workflow for mineral resource estimation. Access limited to the only parameters you need to control, which ensures model coherence. JPG - 40.6 kb Minestis workflow Minestis handles simple and complex geological domain geometries Easy load of ready built grade shells or geological surfaces. Automatic sample clustering in domains Implicit domain modeling. External constraints can be set to refine the different domain envelopes (contact points between domains, points inside/outside domain, surfaces, gradients). Consistency between geological domains verified. Uncertainty assessment on the domain envelopes. JPG - 56.7 kb Minestis - Domain validation Minestis estimates and reports your resources in an efficient way Complete data analysis process with statistics production (histograms, swath-plots, cross-plots), drillhole length regularization, data declustering (statistics help define the best declustering window size), structural analysis on raw and Gaussian transformed grades. Facilitated variogram modeling thanks to variogram automatic fitting. Support correction and Information Effect are taken into account. Block estimation through ordinary kriging with moving neighborhood. Kriging Neighborhood Analysis helps derive relevant neighborhood parameters. Recoverable resource estimation at global and local scales from Uniform Conditioning (UC), Localized Uniform Conditioning (LUC) and Turning Bands conditional simulations. Panel and SMU size definition, block kriging, UC/LUC and simulations are run in one hit for each domain. Report of tonnage, metal, grade and/or benefit figures for each defined cutoff and for either panel or SMU support, by domain or over the whole study area.