Turn geostatistics into defensible resource classification. This course shows you how to assess estimate confidence with kriging, simulations, and uncertainty quantification then apply quantitative, auditable criteria to classify resources into Inferred, Indicated, and Measured under the JORC Code. Join the training to classify with confidence.
Take your estimation skills into the multivariate world. This module shows you how to model multi-element orebodies with PCA, kriging, and co-kriging producing consistent models that respect the real ratios between metals, oxides, and elements. Join the training to handle complex deposits with precision.
Mineral Resource Estimation by linear geostatistics – Module 1: univariate context
MRE · KRIGING · LINEAR GEOSTATISTICS
Build the foundation every resource geologist needs. In this hands-on module, you'll master the standard univariate workflow from data analysis and variography to block modeling, kriging, and validation and walk away able to produce reliable grade-tonnage curves for short-term resources. Join the training to estimate with confidence.
Multiple-Point Statistics simulations (MPS) with Isatis.neo
MULTIPLE POINT STATISTICS · KRIGING · ISATIS.NEO · DeeSse ENGINE
Learn Multiple-Point Statistics (MPS) simulation in Isatis.neo with the DeeSse engine model complex geology from training images. Hands-on training course.
Learn to build realistic, uncertainty-aware geological models with advanced geostatistics Indicator Kriging, SIS, TGS, PGS and implicit modeling in Isatis.neo.
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