2D Resource Estimation

Get a sound and complete presentation of 2D geostatistical resource estimation

Objective

Narrow vein precious metal deposits (Gold, Silver), tabular deposits (Manganese, Coal, Bauxite, Uranium…) are by definition geometries where one dimension (across strike) plays a particular role as its order of magnitude is smaller than the other two (along strike and down dip) and generally not amenable to selective mining. In these situations, resorting to sound 2D estimation proves particularly adapted to produce robust estimates to evaluate the mining project.

Several aspects must then be considered: preparation of the dataset, generation of the estimates and localisation of the results in 3D.

Key Features

The course focuses on all aspects specific to the geostatistical resource estimation of 2D geometries (definition of the study variables, variography, estimation set-up, neighbourhood analysis) with minor emphasis on the geometrical aspects of the problem.

Practical application will be illustrated using Isatis software and a tutorial based on real mining data set.

 

Who should attend

This course is aimed at resource geologists and mining engineers wanting to develop their understanding of the concepts, applications and benefits of 2D Estimation.

Course content

Refresher on linear geostatistics

  • Exploratory data analysis
  • Variography and linear estimation

Definition of the study variables and estimation

  • Defining Ore thickness and Accumulation variables
  • Exploratory data analysis to decide on the estimation strategy:
    • Independent kriging of the study variables;
    • Co-kriging of study variables; or
    • Approximation via kriging of thickness and residuals.
  • Variography and estimation
  • Reconstruction of grade estimates and standard deviation
  • Mapping of results

Automation of testing and reporting in Isatis

  • Journal Files

Prerequisites

None, albeit basic notions of linear geostatistics (domaining, variography) may prove useful.