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