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.

47

Training

5

Application fields

2

Available formats

4

Levels

Sector All Bioresources Energy Environment Mining Subsurface
Learning levels All CFSG Expertise Foundation Software Practice
Format All Hybrid Online
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
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

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

Dec. 7-10, 2026 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

May 17-19, 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

June 14-17, 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

June 21-23, 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