Resource Estimation - 2019 entry

This module introduces key methods for resource estimation, providing the learner with an appreciation of the context of resource estimation and an in-depth understanding of the collection and processing of data which underpins characterisation of a mineral deposit. The influence of geological controls and the concept of uncertainty in resource estimation are discussed. The module features an integrated combination of lectures and tutorials designed to make the learner familiar with the resource estimation process. Explanatory exercises in Excel and an introduction in using ISATIS software, the industry-reference software for geostatistics, form part of the module.

This module aims to provide the student with an overview of the practice of resource estimation, which involves the collection and geologically-informed interpretation of data with a view to identifying the size of the resource. The student should gain an in-depth appreciation of geostatistical techniques and the uncertainty associated with resource estimation. Knowledge of the inner workings of geostatistical techniques is reinforced with Excel exercises, while becoming familiar with professional software (ISATIS) for resource estimation and analysis of uncertainty.

On successful completion of this module, you should be able to:

Module Specific Skills and Knowledge:

1 Appreciation on fundamental statistical and mathematical concepts;

2 Understanding of resource classification;

3 Appreciation of all aspects associated with data interpretation;

4 Overview of resource estimation workflow;

Discipline Specific Skills and Knowledge:

5 Analyse and interpret data relevant for resource estimation;

6 Perform resource assessment on a practical and advanced level;

Personal and Key Transferable/Employment Skills and Knowledge:

7 Work with Excel spreadsheets for data interpretation and optimisation tasks;

8 Work with Excel macros to understand the principles underlying geostatistical techniques;

9 Work with ISATIS to gain insight into industry-reference software for resource estimation.

- Introduction to relevant statistical and mathematical concepts;

- Overview of resource classification, data collection;

- Exploratory data analysis;

- Geological controls, declustering, compositing;

- Overview of basic estimation techniques;

- Variography- modern estimation techniques (kriging);

- Conditional simulation techniques;

- Tutorials on exploratory data analysis and resource estimation (Excel);

- Tutorials on resource estimation and simulation techniques (Excel);

- Tutorials on use of resource estimation professional software (ISATIS).

Candidates are expected to reach the same level of achievement as those required in regular assessment.

Basic Reading:

Please visit the module portal on ELE: http://vle.exeter.ac.uk/

Web based and Electronic Resources:

Type "Geostatistics" into Google to access a wealth of websites.

Reading list for this module: