Canadian Operational
Research Society
Calgary Section
http://www.corscalgary.org/
PROFESSIONAL DEVELOPMENT
SEMINAR
When: Noon to 1:30 PM,
Friday, January 20, 2006
Room 217
TransCanada Tower
450 - 1 Street SW
(See attached map)
Andrew McGoey-Smith, PhD
TOPIC
Risk and decision analysis
for environmental projects
Abstract
The rapid development of the resource sector in
Canada and strong economic performance in general has provided a growing market
for environmental consulting companies like Golder. Most of this business at Golder Calgary has involved performance
of scientific and engineering field studies to support environmental impact
assessments for the oil sands sector.
A significant component of Golder’s business also involves interpreting
field data and assisting clients in making complex decisions often under
considerable uncertainty.
In this talk we describe how two classical methods
of operations research: Monte Carlo Simulation and Decision Analysis have been
used as part of a series of probabilistic risk assessments for land development
over an undermined area in Canmore. In
particular, we describe how a mathematical model was developed to predict
probability distributions for ground subsidence over a 50-year period from the
date of construction for several $30M+ subdivisions. We also describe the development of a consequence model for
quantifying potential building damage, which can be used for insurance
purposes. Finally, we describe how the
simulation was implemented using GoldSim and show how multi-criterion decision
analysis approach is sometimes required to choose the optimum strategy for risk
mitigation.
About the Speaker
ANDREW MCGOEY-SMITH has been with Golder Associates
in Calgary for over 2 years. He was
educated in England at the University of Manchester where he received his PhD
in Theoretical Chemistry. After working
in academic research as a postdoc in physics at the Universities of Waterloo
and Maryland, Andrew worked in hi-tech industry for 12 years first in Ottawa
and then Calgary. During his time in
industry, Andrew performed R&D in remote sensing technologies including
digital signal processing algorithm development. Later, he worked in system engineering on a large voice/data
communications program where he applied statistical design of experiments to
voice quality testing and developed both Monte Carlo and Discrete-Event
simulations for predicting system performance.
After leaving hi-tech, Andrew worked for the Alberta public service for
two years before joining Golder. At
Golder Andrew provides risk and decision consulting services to environmental
projects in the land development, transportation, government and oil and gas
sectors.