Overview
Description
Principles of sampling and the study of the major methods for mineral reserve estimation including polygonal, inverse distance squared and geostatistical. Grade tonnage curves for normal and log normal distribution. Variograms and kriging of mineral reserves.
Requirements
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring
Terms
spring
Attributes
Standard
Learning Outcomes
- identify traditional approaches of the mineral reserve estimation using manual designing of cross-sections and summarizing by spreadsheets.
- recognize the concept of block model and geostatistical methods of resource estimation.
- interpret characteristics of the drill hole data and apply statistics and probability science to evaluate their distribution function, outliers and geological domains.
- apply mining software, Surpac, to create a comprehensive block model and wireframe modeling of the geological features and apply estimation methodologies of reserve estimation such as nearest neighbor, inverse distance, Kriging and conditional simulation.
- evaluate the quality of the estimations and standard codes of the mineral reserve estimation reports.