MRE – Mineral Resource Estimation by linear geostatistics | Training course

Learn the fundamental concepts of geostatistics to estimate your resources confidently.

Objectives

MODULE 1: UNIVARIATE

  • Statistical and stationarity analysis of mineral and metal grade 
  • Understand the theory of variographical analysis 
  • Perform directional variogram modelling on the drillhole data 
  • Interpolate grade to the block space by block ordinary kriging 
  • Gain some insights about the weight distribution by kriging 
  • How to define a sound neighbourhood for interpolation 
  • Learn and practice the validation tools for estimated grade 
  • Generate grade-tonnage curves and tables
  • Create a basic workflow of mineral resource estimation in Isatis.neo 

MODULE 2: MULTIVARIATE

  • Learn the application of PCA in the mineral resource estimation 
  • 3D modelling of a non-stationary grade variable by trend-based variants of kriging 
  • Perform cross-variogram modelling on the correlated grades 
  • Perform cross-covariance modelling on the correlated grades (purely heterotopic datasets) 
  • Jointly interpolate the correlated grades to the block space by ordinary cokriging, collocated cokriging and rescaled cokriging, implemented in Isatis.neo 

APPLICATION DOMAIN

  • Estimating short-term resources 
  • Primary estimation of long-term resources 
  • Producing resource model for mining design 
  • Spatial analysis of drillhole data 
  • Single and multi-variate geostatistics 

Who should attend

Professionals seeking a sound theoretical and practical knowledge of mining geostatistics. 

Course content

MODULE 1: UNIVARIATE

  • The importance of geostatistics in Mineral Resource Estimation 
  • Extrapolatory Data Analysis (EDA) and spatial analysis of data 
  • Stationarity analysis 
  • Regularizing data: compositing and declustering 
  • Variographical analysis: variogram cloud and parameters of experimental variogram 
  • Variogram modelling: automatic, semi-automatic, manual and interactive 
  • Theory of kriging and mining related variants: ordinary and block 
  • Kriging Neighbourhood Analysis (KNA) 
  • Cross-validation 
  • Validation of estimation 
  • Grade-tonnage table and curves 

MODULE 2: MULTIVARIATE

  • Principal Component Analysis (PCA) 
  • Kriging non-stationary variable: kriging with external drift or universal kriging 
  • Cross-variogram and cross-covariance 
  • Ordinary cokriging 
  • Collocated cokriging 
  • Rescaled cokriging 

TRAINING MATERIALS:

  • Theory: Slides will be communicated. 
  • Practice: Training licence of Isatis.neo geostatistical software will be attributed to the participants; as well as a typical mining dataset. 

Prerequisites

  • This training is prepared for geologists who want to discover geostatistical tools frequently used in the Mineral Resource Estimation. 
  • Basic knowledge of resource concepts would be appreciated: grade, tonnage, cut-off, etc. 
  • To extend your knowledge, we recommend that you also attend the complementary advanced short course Recoverable Resource Estimation