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.
Make resource classification more quantitative and defensible. Use kriging, simulations and uncertainty measures to apply auditable JORC criteria with greater confidence.
Turn spatial data into sound decisions. Learn to analyze datasets, map surfaces, model subsurface properties and quantify uncertainty with practical geostatistical workflows.
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.
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.
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.
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.
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.
Turn geostatistical knowledge into confident Isatis.neo practice. Import and explore real data, model variograms, run kriging, validate results and take your first steps with simulation.
Automate repetitive work without coding. Record tasks, add variables, loops and conditions, and turn everyday Isatis.neo operations into robust workflows you can reuse across projects.
Custom calculations · Python libraries · Data processing
Go beyond built-in formulas. Use the Isatis.neo Python Calculator to create custom data treatments, integrate Python libraries and turn project-specific logic into reusable calculations.
Need maintainable geostatistical automation? Learn Python fundamentals and use Isatis.py libraries to turn recurring technical tasks into clear, reusable scripts.
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