Training Session: Mineral Resource Assessment Through Geostatistical Analysis

This practical online session is built for exploration and resource geologists, mine planning engineers, and technical leaders who need higher confidence in resource estimates. We’ll walk an end-to-end geostatistical workflow—from data validation and compositing to variography, KNA, kriging strategy, and resource classification—using examples aligned to JORC/NI 43-101 (and related codes).

Session Agenda

1. Introduction – Goals, workflow map, and how each stage affects classification and reporting confidence.
2. Statistical Analysis & Geological Domain Validation – Descriptive stats, distribution checks, contact tests, and domain boundary verification.
3. Composite Length Analysis – Selecting composite length, sensitivity checks, and effects on variance/variograms.
4. Outlier & Top-Cut Strategy – Detecting outliers, selecting capping approaches, and documenting mean/variance impacts.
5. Spatial Analysis & Declustering – Cell declustering, swath plots, and removing clustered drilling bias.
6. Anisotropy Mapping – Building anisotropy maps and defining geology-aligned search ellipsoids.
7. Variogram Analysis & Cross-Validation – Experimental variograms, nested structures, diagnostics (ME, MAE, RMSE, QQ).
8. KNA (Kriging Neighbourhood Analysis) – Discretization, block size decisions, avoiding negative weights, optimal sample counts.
9. Kriging Methods – When/how to use SK, OK, lognormal kriging, non-stationary SK, KED, and cokriging—key assumptions and pitfalls.
10. Resource Classification – Practical proxies (kriging variance, slope of regression, drill spacing, pass counts) combined with geological confidence.

Who Should Attend

Resource/exploration geologists, geostatisticians, mine planning engineers, technical managers, QA/QC specialists, and consultants responsible for block models and reporting.

Session Format

Delivered live online (two hours) with an interactive Q&A. Advance registration is required. Session recordings will not be publicly available afterward.

Participation Guidelines

Register early (limited seats). Bring questions and, if possible, a short description of your deposit style and data challenges to map concepts to your context. A stable internet connection is recommended for live demo segments.