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

Applied Geostatistics Courses

From fundamentals to advanced methods and software, taught by practicing experts or as part of the CFSG program from Mines Paris – PSL.

2027 training catalog for mining 2027 training catalog for oil & gas and subsurface 2026 training catalog for mining

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 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

July 7-8, 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

July 19, 2027 Details / Registration

Mining Expertise Hybrid

Recoverable Resource Estimation by nonlinear geostatistics – Module 2: Multiple Indicator Kriging and Conditional Expectation

Multi-gaussian kriging · Indicator kriging · MIK

Turn deposit data into confident, recoverable resource estimates. Learn to select and apply the right nonlinear method, from Multiple Indicator Kriging to Conditional Expectation.

1.5 days EUR 790

July 20-21, 2027 Details / Registration

Mining Expertise Hybrid

Recoverable Resource Estimation by nonlinear geostatistics – Module 3: Simulations

Conditional simulation · Sequential Gaussian Simulation (SGS) · Direct Block Simulation

Go beyond a single estimate and capture the full range of possible grade outcomes. Learn to apply conditional simulation and post-processing to quantify uncertainty and produce realistic recoverable resource estimates.

1.5 days EUR 790

July 21-22, 2027 Details / Registration

Mining Expertise Hybrid

Recoverable Resource Estimation by nonlinear geostatistics – Module 4: Advanced multivariate modeling

Decorrelation · Multivariate imputation · Heterotopic data

Keep complex multivariate estimates coherent. Use PCA, MAF and PPMT to decorrelate variables, impute missing assays and preserve sum or ratio constraints in estimation and simulation.

1 day EUR 550

July 23, 2027 Details / Registration

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

August 2-3, 2027 Details / Registration

Mining Expertise Hybrid

Geostatistical inputs to resource classification

JORC · Kriging efficiency · Inferred, Indicated, Measured

Make resource classification more quantitative and defensible. Use kriging, simulations and uncertainty measures to apply auditable JORC criteria with greater confidence.

2,5 days EUR 1,350

August 9-11, 2027 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

Sept. 27-28, 2027 Details / Registration

Energy Mining Subsurface Expertise Hybrid

Geological modeling by geostatistics

Implicit modeling · Plurigaussian simulation (PGS) · Facies modeling

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

October 4-6, 2027 Details / Registration

Energy Mining Subsurface Expertise Hybrid

Multiple-Point Statistics simulations (MPS) with Isatis.neo

Stochastic simulation · DeeSse · Training image

Model complex geological patterns beyond traditional two-point methods. Learn MPS simulation with DeeSse in Isatis.neo, from training images to realistic uncertainty-aware realizations.

4 half days EUR 1,100

October 18-21, 2027 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

November 15-17, 2027 Details / Registration

Environment Foundation Hybrid

An overview of geostatistics for contaminated site characterization

Site characterization · Soil remediation · Excavation volumes

Pollution does not vary uniformly across a site. See how geostatistics can improve sampling, integrate available information, and quantify uncertainty in impacted zones.

1 day EUR 550

On demand Details / Registration