The short workshop for ISME
Thursday 25th September, 2014
VNU University of Science
Revenue: R. 421, T1 building, 334 Nguyen Trai, Thanh Xuan, Hanoi
Time: 9:00-11:45 (morning course); 14:00-16:45 (afternoon course)
DRAFT
The contents
- Objective of the workshop
- Morning course: Resource assessments
- Afternoon course: Geostatistics
Objective of the workshop
International Symposium on Mineral Exploration (ISME) has the short courses
on related topics for younger generations of students as an additional program.
It is great opportunity to touch cutting edge of mineral exploration techniques,
and to understand background and general ideas of high performance
engineering. We present a couple of courses; resource assessment in the
morning and geostatistics in the afternoon. Both instructors are world famous
leading scientists for the edge field for each.
We hope the younger generations can see the contents and aware of the
importance to promote the next resource explorations.
Coupled with main sessions of ISME, join together the workshop on mineral
exploration on Thursday 25 Sep !
Morning course
Quantitative Mineral Resource Assessments:
An integrated approach to planning for exploration
Don Singer, USA
Course Objectives
Quantitative mineral resources assessments (called QRA) are designed to
provide government and industry decision-makers with information about
undiscovered resources. By their nature, these assessments reflect a great
deal of uncertainty and, possibly, risk (that is, probability of loss). An important
benefit of quantitative assessments is that the uncertainty is stated explicitly,
which allows us to identify its sources and possibly reduce both uncertainty and
risk. Among the possible sources of uncertainty in amounts of economic
resources are: number of undiscovered deposits, possible locations of these
deposits, possible grades and tonnages of the deposits, adverse effects of
cover, chances of discovery, beneficiation opportunities, mining methods and
costs, timing of investments and production, and prices of metals.
The course will rely on advanced modelling and practical examples from the
book: Singer, D.A., and Menzie, W.D., 2010, Quantitative Mineral Resource
Assessments—An Integrated Approach: Oxford University Press, New York,
219 p.
Course Outline
Introduction
An integrated approach to assessment is necessary to provide decisionmakers with unbiased information about the expected value and
probabilities of other values of undiscovered mineral resources.
A short statistical review
Descriptive models
Mineral deposit models are the keystone in combining diverse
geoscience information on geology, mineral occurrences, geophysics,
and geochemistry used in resource assessments and mineral
exploration.
Grade and tonnage models
Frequency distributions of tonnages and average grades of well-explored
deposits of each type are models for grades and tonnages of
undiscovered deposits of the same type in geologically similar settings.
Deposit density models
Estimates of the number of undiscovered deposits can be derived from
counts of known deposits per unit area in explored control regions.
Guides on construction and proper use of these models will be provided.
Delineation
How to delineate tracts in a consistent way will be presented, as well as
determining when subdivision of tracts is desirable.
Estimation of number of undiscovered deposits
Principles of estimation of the number of deposits in an integrated
assessment are provided. Also, guidelines for estimation of numbers
and how to identify suspicious estimates will be provided.
Overview of neural networks
An overview of neural networks will be followed by consideration of the
most widely used form–feedforward networks and probabilistic neural
networks.
Digital versions of related papers and files will be provided to course
participants.
Instructor
Donald A. Singer was formally with the U.S. Geological Survey where his
research focused on developing methods of quantitatively assessing
undiscovered mineral resources. His published papers cover resource
assessments, deposit models, quantitative methods, and exploration strategies.
Recent interests include improving exploration strategies in covered areas and
economics of resources. The Society of Economic Geologists awarded him its
1999 Silver Metal, the U.S. Department of the Interior awarded him its
Distinguished Service Award in 2005, and the International Association for
Mathematical Geology selected him as 2010 Matheron Lecturer. He received
his MSc and PhD from The Pennsylvania State University. He is now a private
consultant and Honorary Professor at the University of Queensland, Brisbane,
Australia
Afternoon course
INTRODUCTION TO APPLIED GEOSTATISTICS
JORGE KAZUO YAMAMOTO*
* Institute of Geosciences, University of São Paulo, Brazil.
Course Objectives
1) To introduce students to the use of geostatistical tools for spatial data
analysis;
2) To introduce students to the most popular geostatistical estimation
method (ordinary kriging) and determination of associated uncertainties;
3) To introduce students to the theory and applications of stochastic
simulation techniques with emphasis on sequential methods.
Course Outline
1) Basic concepts (sample and population, sampling methods, random
variables and regionalized variables);
2) Calculation and modeling experimental semivariograms (types of
semivariograms, semivariogram models, anisotropies and behavior next
to the origin);
3) Ordinary kriging and associated measures of uncertainty (kriging
variance, interpolation variance and the proportional effect);
4) Stochastic simulation (sequential methods, random walk, sequential
Gaussian simulation, simple kriging and ordinary kriging options, Monte
Carlo sampling of the conditional cumulative distribution function).
Instructor
Jorge Kazuo Yamamoto was graduated in geology from the University of Sao
Paulo in 1976. He was researcher geologist at Technological Research Institute
of Sao Paulo from 1977 to 1989. In 1989 he moved to the Institute of
Geosciences of the University of Sao Paulo, as an assistant professor. After his
Ph. D. in 1991, he becomes Associate Professor in 1995 and Full Professor in
1996. He was Department Head from 1995 to 1999, Vice Director from 1999 to
2003 and Director of the Institute of Geosciences from 2003 to 2007. He has
been working on uncertainty measurements for both continuous and discrete
variables. At the Institute of Geosciences he teaches geostatistics and mineral
exploration.