All levels · All industries · In-person or online · Open-enrollment or in-house sessions

Training courses in applied geostatistics

From fundamental concepts to advanced methods and software proficiency: training courses designed and delivered by practising geostatisticians, alongside the prestigious CFSG programme from Mines Paris – PSL.

Training

Application fields

Available formats

Levels

Sector All Bioresources Energy Environment Mining Subsurface

Learning levels All CFSG Expertise Foundation Software Practice

Format All Hybrid Online

Mining Expertise Hybrid

Drill Hole Spacing Analysis – DHSA

Grade control · Mining dilution · Drilling optimization

Drill smarter, not more. Learn to quantify grade uncertainty by drill spacing and design cost-effective drilling meshes that improve resource classification and reduce geological risk.

2 days EUR 1,100

May 3-4, 2027 Details / Registration

Mining Expertise Hybrid

Recoverable Resource Estimation by nonlinear geostatistics – Module 1: Uniform Conditioning

Grade-tonnage curves · Localized Uniform Conditioning (LUC) · Change of support

Turn sparse sampling into reliable grade-tonnage curves. Master Uniform Conditioning to estimate grade, tonnage and metal above cut-off, and strengthen recoverable resource estimates.

1 day EUR 550

April 19, 2027 Details / Registration

Mining Foundation Hybrid

Mineral Resource Estimation by linear geostatistics – Module 2: multivariate context

Co-kriging · Cross-variogram · Universal kriging

Model multi-element deposits with consistency. Use PCA, kriging and cokriging to respect relationships between metals, oxides and elements, and improve multivariate resource estimates.

2 days EUR 1,100

April 7-8, 2027 Details / Registration

Mining Foundation Hybrid

Mineral Resource Estimation by linear geostatistics – Module 1: univariate context

Ordinary kriging · Kriging Neighborhood Analysis (KNA) · Variography

Build a strong foundation in mineral resource estimation. Follow the univariate workflow, from data analysis and variography to block modeling, kriging, validation and grade-tonnage curves.

2 days EUR 1,100

April 5-6, 2027 Details / Registration

Energy Mining Subsurface Expertise Hybrid

Geological modeling by geostatistics

GEOLOGICAL MODELLING · GEOSTASTICAL MODELING COURSE · ISATIS.NEO

Build realistic geological models that reflect complexity and uncertainty. Apply indicator kriging, SIS, TGS, PGS, and implicit modeling through hands-on workflows in Isatis.neo.

3 days EUR 1,650

Nov. 16-18, 2026 Details / Registration

Energy Mining Subsurface Expertise Hybrid

Machine Learning applied to geosciences and mining

Deep Kriging · Geometallurgical domains · Lithology classification

Put machine learning to work on real geoscience and mining challenges. Build, evaluate and apply classification and regression models by connecting scikit-learn with Isatis.neo.

3 days EUR 1,650

Oct. 12-14, 2026 Details / Registration

Bioresources Energy Environment Mining Subsurface Foundation Hybrid

Data analysis, mapping and subsurface property modeling with geostatistics

Spatial interpolation · Variography · Kriging

Turn spatial data into sound decisions. Learn to analyze datasets, map surfaces, model subsurface properties and quantify uncertainty with practical geostatistical workflows.

2 days EUR 1,100

April 26-27, 2027 Details / Registration

Environment Foundation Hybrid

An overview of geostatistics for radiological characterization

Site characterization · Soil remediation · Excavation volumes

Radiological contamination is spatially heterogeneous. See how geostatistics helps assess sampling, map uncertainty and evaluate affected volumes for decommissioning projects.

1 day EUR 550

On demand Details / Registration