All levels · All industries · In-person or online · Inter-company or in-house sessions

Training course catalog on applied geostatistics

From discovery to software practice: programs tailored to your sector, delivered by practicing geostatisticians.
44

Training

5

Application fields

2

Available formats

4

Levels

Sector All Bioresources Energy Environment Mining Subsurface
Learning levels All 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

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

May 10-12, 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

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