# Mining and Minerals Engineering

## CSMM083 - Resource Estimation (2019)

MODULE TITLE CREDIT VALUE Resource Estimation 15 CSMM083 Prof Hylke J Glass (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 0 6 0
 Number of Students Taking Module (anticipated) 30
DESCRIPTION - summary of the module content

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.

AIMS - intentions 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.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

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.

SYLLABUS PLAN - summary of the structure and academic content of the module

- 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).

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
 Scheduled Learning & Teaching Activities Guided Independent Study 36 114
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
 Category Hours of study time Description Scheduled Learning and Teaching Activities 12 Lectures - delivery of taught resource estimation methodology and technique introduction Scheduled Learning and Teaching Activities 24 Tutorials - Excel exercises and tutorials, introduction to ISATIS software Guided Independent Study 114 Self-study. Suggested: partly in advance of module

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Basic Statistical Literacy Class Test (in the term before start of module) 1 Direct discussion
Resource Estimation Software Skills Continuous, during tutorials 4-9 Direct Discussion

SUMMATIVE ASSESSMENT (% of credit)
 Coursework Written Exams Practical Exams 0 100 0
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. 25
In-Class Test 1 25 1 hour 1-5 Module Leader/Tutor
Report on Resource Interpretation of a Dataset 75 10 pages 1-5 Module Leader/Tutor

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-assessment
In-Class Test 1 New In-Class Test 1-6 End of Term 2
Report on New Resource New report 1-6 Ref/Def Period

RE-ASSESSMENT NOTES

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

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

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:

Type Author Title Edition Publisher Year ISBN Search
Set Chiles, J. and Delfiner, P. Geostatistics: Modeling Spatial Uncertainty 2nd Edition Wiley Series in Probability and Statistics 2012 [Library]
Set Isaaks, E.H. and Srivastava, R.M. An Introduction to Applied Geostatistics Oxford University Press 1989 [Library]
Set Davis, J.C. Statistics and Data Analysis in Geology 2nd Edition John Wiley & Sons, New York 1986 [Library]
Set Webster, R. and Oliver, M.A. Geostatistics for Environmental Scientists John Wiley & Sons, New York 2007 [Library]
Set David, M. Geostatistical Ore Reserve Estimation, Developments in Geomathematics 2 Elsevier Science, Amsterdam 1977 [Library]
Set Swan, A.R.H. and Sandilands, M. Introduction to Geological Data Analysis Blackwell Science, Oxford 1995 [Library]
Set Clark, I. Practical Geostatistics 2nd Edition Ecosse North America 2000 [Library]
Set Rossi, M.E. and Deutsch, C.V. Mineral Resource Estimation Springer New York 2014 [Library]
CREDIT VALUE ECTS VALUE 15 7.5
PRE-REQUISITE MODULES None None
NQF LEVEL (FHEQ) AVAILABLE AS DISTANCE LEARNING 7 No Thursday 06 July 2017 Friday 19 July 2019
KEY WORDS SEARCH None Defined