All Levels · All Sectors · In-person or online

Applied Geostatistics Training

From the basics to advanced skills, including practical software experience: a program tailored to your sector and your level, delivered by practicing geostatisticians.

Training Catalog (PDF) – Mining Training Catalog (PDF) – Energy and Subsurface
12

Training

5

Sectors Covered

2

Available Formats

4

Levels

Secteur Tous Bioresources Energy Environment Mining Subsurface
Niveau d’apprentissage Tous Expertise Foundation
Format Tous Hybrid Online
Recoverable Resource Estimation by nonlinear geostatistics – Module 3: Simulations
Mining Expertise Hybrid

Recoverable Resource Estimation by nonlinear geostatistics – Module 3: Simulations

SIMULATIONS · CONDITIONAL EXPECTATION · RECOVERABLE ·

Capture the full range of possible outcomes. This module introduces two conditional simulation techniques for grades and shows you how to post-process them into accurate grade-tonnage curves. Join the training to quantify uncertainty and estimate recoverable resources with realism.

1.5 days EUR 790

Drill Hole Spacing Analysis – DHSA
Mining Expertise Hybrid

Drill Hole Spacing Analysis – DHSA

DHSA · SIMULATION · DRILLING OPTIMIZATION

Drill smarter, not more. This hands-on, two-day course teaches you to quantify grade uncertainty as a function of drill spacing and design optimal drilling meshes that balance cost, recovery, and dilution all in Isatis.neo. Join the training to improve resource classification and reduce geological risk.

2 days EUR 1100

Data analysis, mapping and subsurface property modeling with geostatistics
Bioresources Foundation Hybrid

Data analysis, mapping and subsurface property modeling with geostatistics

DATA ANALYSIS · MAPPING · SUBSURFACE

Harness geostatistical methods for insightful data analysis, accurate surface mapping, robust subsurface property modeling, and effective uncertainty quantification.

2 days EUR 1150

Machine Learning applied to geosciences and mining
Energy Expertise Online

Machine Learning applied to geosciences and mining

MACHINE LEARNING · MINERAL RESOURCE MODELING · ISATIS.NEO

Hands-on machine learning course for mining: define domains, run classification and regression, and link scikit-learn with Isatis.neo.

3 days EUR 1650

Mapping and estimation of contaminated volumes using geostatistics
Environment Foundation Hybrid

Mapping and estimation of contaminated volumes using geostatistics

MAPPING · VARIOGRAM · KRIGING

From sample to remediation: learn geostatistics to rigorously map contamination, quantify impacted volumes, and confidently manage uncertainty in your remediation plans.

3 days EUR 1650

Geostatistical inputs to resource classification
Mining Expertise Hybrid

Geostatistical inputs to resource classification

CLASSIFICATION · JORC · KRIGING

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.

3 days EUR 1350

Geological modeling by geostatistics
Energy Expertise Hybrid

Geological modeling by geostatistics

GEOLOGICAL MODELLING · GEOSTASTICAL MODELING COURSE · ISATIS.NEO

Learn to build realistic, uncertainty-aware geological models with advanced geostatistics Indicator Kriging, SIS, TGS, PGS and implicit modeling in Isatis.neo.

3 days EUR 1650

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

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.

4 days EUR 1100

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

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.

2 days EUR 1150

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

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

MULTIVARIATE RESOURCE ESTIMATION · KRIGING · PCA ·

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.

2 days EUR 1150