2024 12th International Geostatistics Congress
September 2-6, 2024
Azores, Portugal
Updating Simulated Multi-attribute Geological and Geometallurgical Orebody Models Using High-Order Statistics Considering Production Data of Multiple Support Scales
Liam Findley
High-order Stochastic Simulation vis Semidefinite Programming
Lingqing Yao
2024 Optimization Days
May 6-8, 2024
Montreal, Canada
Adaptive risk-aversion for optimizing robust supply/value chains
Yassine Yaakubi
2024 CIM Connect
May 12-15, 2024
Vancouver, Canada
Optimizing for Sustainability by Integrating Progressive Reclamation and Waste Management in the Simultaneous Stochastic Optimization Framework for Mining Complexes
Zach Levinson
2024 3rd Digitalization in Mining
May 29-30, 2024
Toronto, Canada
Learning and Stochastic Optimization for Industrial Mining Complexes
Yassine Yaakubi
Strategic Insight: Simultaneous Stochastic Optimization of Mining Complexes: Integrating ESG into long-term production scheduling
Zach Levinson
2023 Informs Annual Meeting
October 15-18, 2023
Phoenix, Arizona
Integrated machine learning and optimization for the simultaneous stochastic optimization of mining complexes
Yassine Yaakubi
Production planning in mining complexes: A stochastic programming and reinforcement learning approach for connecting short- and long-term production schedules
Zach Levinson
APCOM 2023
June 25-28, 2023
Rapid City, SD
Reinforcement Learning Applied to Shovel Allocation and Grade-Control for Short-Term Production Planning of Industrial Mining Complexes
Joao Pedro De Carvalho
Stochastic Optimization for Long-term Planning of a Mining Complex with In-pit Crushing and Conveyance Systems
Liam Findlay
IAMG 2023: The 22nd annual conference of the IAMG
August 05 – August 12, 2023
Trondheim, Norway
High-order simulation of processing responses applied to adaptive and reinforcement learning-based short-term planning of industrial mining complexes
Joao Pedro De Carvalho
Simultaneous stochastic optimization of mining complexes and geostatistical simulations: Key aspects and interactions
Roussos Dimitrakopoulos
IAMG 2022 International Association for Mathematical Geosciences
August 29 – September 3, 2022
Nancy, France
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S10 Mining geostatistics, optimization and geometallurgy
Wed Aug 31st 09:50 (local time)
High-Order Block-Support Simulation and its Benefits to the Simultaneous Stochastic Optimization of Mining Complexes
Joao Pedro De Carvalho
S01 Beyond Gaussianity: what is the status of the GANs, MPS, Cumulants or Copula approaches?
Fri Sep 2nd 15:05 (local time)
A Multiple-Point Statistical Descriptor Measuring High-Order Spatial Data Consistency
Lingqing Yao
2022 IFAC Symposium on Control, Optimization and Automation in Mining, Mineral and Metal Processing
August 15 – 17, 2022
Montreal, QC
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A Data-Driven Approach for the Simultaneous Stochastic Optimization of Mining Complexes
Yassine Yaakoubi
Geometallurgical prediction models of processing plant indicators for stochastic mine production scheduling
Christian Both
2022 Optimization Days (JOPT)
May 16 – 18, 2022
Montreal, QC
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Session 1: TA2 – Optimization of industrial mining complexes under uncertainty I.
May 17, 2022 10:30 AM – 12:10 PM
10:30 AM – 10:55 AM
Self-learning Hyper-heuristics for the Optimization of Industrial Mining Complexes
Yassine Yaakoubi
10:55 AM – 11:20 AM
Actor-Critic Reinforcement Learning Applied to Adaptive Shovel Fleet Management in Industrial Mining Complexes
An actor-critic reinforcement learning framework for simultaneously optimizing a short-term production schedule in a mining complex with an uncertain supply
Zachary Levinson
Session 2: TB2 – Optimization of industrial mining complexes under uncertainty II.
May 17, 2022 03:30 PM – 05:10 PM
Neural Networks meet Optimization: Computational Efficiency for Simultaneous Stochastic Optimization of Mineral Value Chains
(Will) Yi Jiang
CIM/ICM Convention + Expo
May 1 – 4, 2022
Vancouver, BC
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Stream: Transitions: The Digital Platform
Session: AI Driven Decisions
May 2, 2022, 11:00 AM – 12:15 PM
Artificial intelligence for self-learning mining complexes – mineral value chains: Concepts, advances, examples and challenges
Roussos Dimitrakopoulos
Stream: Operations
Session: Underground Mining I
May 2, 2022, 11:00 AM – 12:15 PM
Integrating the sublevel open stoping design and long-term mine production scheduling through a stochastic optimization model under multiple sources of uncertainty
Matheus Furtado e Faria
Stream: Operations
Session: Production Enhancements
May 2, 2022, 3:30 PM – 4:45 PM
Data-driven geometallurgical prediction models of plant performance indicators for mine production dcheduling
Christian Both
Stream: Operations
Session: Production Optimization
May 3, 2022, 2:00 PM – 3:15 PM
Stochastic optimization of long-term mine production scheduling with an in-pit crushing and conveyance system
Liam Findlay
2022 SME Annual Conference & Expo
February 27 – March 2, 2022
Salt Lake City
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Stochastic optimization of long-term production schedules with in-pit crushing and conveyance systems
Liam Findlay
CIM Mining 4.0: The Digital Mining Symposium
November 1-3, 2021
Virtual
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Learn to perturb: a deep self-learning metaheuristic based on simulated annealing for the optimization of industrial mining complexes
Yassine Yaakoubi
An Actor-critic Approach to Integrate Short-term Stochastic Production Planning Updating to Mining Fleet Allocation in Mining Complexes
November 2nd, 14:10 EDT.
João Pedro de Carvalho
APCOM
August 29 – September 2, 2021
South Africa
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Self-learning infill drilling for strategic mine planning: Simultaneously optimizing the value of additional information in a mining complex under grade uncertainty
Zachary Levinson
Smart equipment allocation decisions and short-term stochastic production planning updating in mining complexes through reinforcement learning
João Pedro de Carvalho
Geostats2021
July 12-16, 2021
Toronto, Ontario, Canada
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A training image free high-order simulation framework based on statistical learning
Lingqing Yao
High-order geostatistical simulation of geological units: Application at the Saramacca gold deposit, Suriname
Daniel Morales
Effects of high-order simulations on the simultaneous stochastic optimization of industrial mining complexes
João Pedro de Carvalho
European Conference on Operational Research 2021
July 11-14, 2021
Athens, Greece
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Stochastic mathematical programming for integrated optimization of sublevel open stoping design and production scheduling in underground mines
Matheus Furtado e Faria
Learn to Perturb: A Deep Reinforcement Learning Approach to Adaptive Simulated Annealing for Optimizing Industrial Mining Complexes
Yassine Yaakoubi
CIM 2021
May 3-6, 2021
Virtual
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Particle Filtering for Continuous Updating of High-Order Stochastic Simulations
Angel Prior
Stochastic Sublevel Stoping Optimization and Lane-based Cut-off Grade Assessment
Matheus Furtado e Faria
Simultaneous Production Scheduling and Mine-to-Port Transportation Optimization under Material Supply Uncertainty
Mélanie LaRoche-Boisvert
Effects of Geostatistically Simulated Geological Units on Life-of-Mine Optimization of a Gold Deposit
Daniel Morales
Integrating Geometallurgy into Short-Term Stochastic Production Scheduling for Mining Complexes
Christian Both
PDAC
March 7-10, 2021
Virtual
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SME 2021
March 1-5, 2021
Virtual
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Integrating Geometallurgy in Short-Term Stochastic Production Scheduling: Predicting Comminution Performance using Sensor and Production Data in Mining Complexes
Christian Both
CIM
May 3-6, 2020
Vancouver, British-Columbia, Canada
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SME 2020
February 23-26, 2020
Phoenix, Arizona, USA
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Mining & Exploration: Operations: Mine Planning & Optimization I
Adaptive Simultaneous Optimization of the Long Term Plan of a World-Class Copper Mining Complex
Fernanda Del Castillo
Simultaneous Stochastic Short-Term Production Scheduling and Fleet Management Optimization for Mining Complexes
Christian Both
Mining & Exploration: Innovation & Technology: Data Science and Machine Learning Applications in Mining
Artificial Intelligence in Mineral Deposit Models Real-Time Updating: A Self-Learning Actor-Critic Framework
Ashish Kumar
Mining & Exploration: Operations: Mine Planning & Optimization II
Simultaneous Production Scheduling and Transportation Optimization from Mines to Port under Uncertain Material Supply
Mélanie LaRoche-Boisvert
Towards Real-Time Mining: Using Reinforcement Learning to Integrate Production Planning with Truck Dispatching Decisions
João Pedro de Carvalho
Optimizing the Mine Production Scheduling Accounting for Stockpiling and Investment Decisions under Geological Uncertainty
Zayneb Brika
Mining & Exploration: Geosciences: Resource Estimation
High-Order Geostatistical Simulation of Geological Domains at a Gold Deposit
Daniel Morales
IAMG
August 10 – 16, 2019
Pennsylvania, USA
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Multiple Point Statistics
High-order stochastic simulation through statistical learning and kernel Hilbert space embedding
Lingqing Yao
Mining Modeling
High-order block-support simulation, application in the production optimization of a gold mining complex and comparisons
João Pedro de Carvalho
Machine Learning and Optimization Methods
Actor-critic reinforcement learning for updating minerals supply variability with sensor production
Ashish Kumar
SOMP
June 29 – July 5, 2019
Bochum, Germany
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Panel Discussion on Research Funding
Roussos Dimitrakopoulos
Aachen International Mining Symposia: Mines of the Future
June 13 – June 14, 2019
Aachen, Germany
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Joint stochastic short-term production scheduling and fleet management optimization for mining complexes
Christian Both
GERAD Optimization Days
May 13 – 15, 2019
Montreal, Canada
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Solving stochastic large-scale mixed integer linear problems for industrial production scheduling
Zayneb Brika
A metaheuristic solution approach for large-scale stochastic mixed integer non-linear optimization of mineral value chains
Christian Both
CIM
April 28 – May 1, 2019
Montreal, Canada
Preliminary Program
Website
Artificial Intelligence in Mining Forum
Artificial intelligence for mining complexes: self learning, deep neural networks and real-time adaptation of production scheduling
Roussos Dimitrakopoulos
Smart Mineral Value Chains
Chair: R. Dimitrakopoulos (Professor, McGill University)
Smart Optimization of Mining Complexes: Developing dynamic models for long- and short-term plans
Fernanda Del Castillo and Ashish Kumar
SME Mining Finance
April 28 – May 1, 2019
New York City, USA
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Real-Time General Assembly
March 26-27, 2019
Freiburg, Germany
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Program
Keynote Address “Simultaneous optimization of mining complexes and mineral value chains under uncertaint metal supply and market demand”
Roussos Dimitrakopoulos
PDAC
March 3-6, 2019
Toronto, Canada
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SME
February 24-27, 2019
Minneapolis, USA
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Geostatistics in the Era of Big Data
Chairs: A. Jewbali (Newmont Mining Corporation, Greenwood Village, CO), L. Allen (Newmont Mining Corporation, Greenwood Village, CO)
Effects of High-order Simulations on the Long-term Optimization of Mining Complexes
João de Carvalho
High-Order Stochastic Simulation via Statistical Learning
Lingqin Yao
Smart Mining Complexes and Mineral Value Chains
Chairs: M. Godoy (Newmont Mining Corp, Greenwood Village, CO), R. Dimitrakopoulos (COSMO Lab, McGill University, Montreal)
Developing a Dynamic Model to Optimize Mineral Value Chains under Uncertainty
Fernanda Del Castillo
Self-Learning Mining Complex: A Fast Mechanism Using Search Tress and Reinforcement Learning
Ashish Kumar
Simultaneous Stochastic Optimization of a Gold Mining Comples Focusing on Waste Management and Cut-off Grade Optimization
Zachary Levinson
Simultaneous Stochastic Optimization of an Open-Pit Gold Mining Complex with Supply and Market Uncertainty
Ziad Saliba
Incorporating Geological and Equipment Performance Uncertainty While Optimizing Short-Term Mine Production Schedules
Matthew Quigley
Mining Complex Optimization with Supply Material Uncertainty
Luis Montiel
IAMG Conference
Septemer 4-8, 2018
Olomuc, Czech Republic
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Invited Speaker – IAMG2018 William Christian Krumbein Medallist
Roussos Dimitrakopoulos
SOMP Conference
July 1-7, 2018
Beijing, China
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CIM Conference
May 7-10, 2018
Vancouver, Canada
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Simultaneous Stochastic Optimization of Mining Complexes and Mineral Value Chains: New Digital Technologies, Examples and Comparisons
Roussos Dimitrakopoulos
Dynamic Optimization Of Mineral Value Chains Under Uncertainty
Fernanda Del Castillo
Stochastic Mining Supply Chain Optimization: A Study Of Integrated Capacity Decisions
Iain Farmer
Strategic Mine Planning Under Supply Material Uncertainty And Example From A Gold Mine
Luis Montiel Petro
The Next Wave Of Digital Developments In Mining
James MacNeil
SME Mining Finance
April 30, 2018
New York City, USA
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Real-Time General Assembly
April 17-18, 2018
Germany
PDAC
March 4-7, 2018
Toronto, Canada
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SME
February 25-28, 2018
Minneapolis, USA
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APCOM
August 9-11, 2017
Denver CO, USA
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IFORS
July 17-21, 2017
Quebec City, Canada
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CIM Convention
April 30 – May 3, 2017
Montreal, Canada
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SME trends in Mining Finance
April 30 – May 3, 2017
New York, USA
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PDAC Convention
March 5-8, 2017
Toronto, Canada
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SME Conference & Expo
February 19-22, 2017
Denver CO, USA
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SMART FIELDS
November 9-10, 2016
Stanford, USA
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CIM Convention
May 1-4, 2016
Vancouver, Canada
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SME Conference: Mining Finance
April 27-28, 2016
New York, NY
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SME’s 4th Current Trends in Mining Finance Conference
April 25, 2016
NYC, NY
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New technologies for the smart management of technical risk
Presentation given by R. Dimitrakopoulos
Real-Time – 2nd General Assembly
Lisbon, Portugal
April 19-20, 2016
OPTIMA 2015 Conference
October 18-20, 2015
Antofagasta, Chile
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OMOC
October 6-9, 2015
Toronto, Canada
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Keynote Presentation 1: Smart Mining Complexes and Value Chains: A technological perspective on risk management and sustainability
Roussos Dimitrakopoulos
Canada Research Chair (Tier I)
Sustainable Mineral Resource Development and Optimisation Uncertainty
Director of the COSMO Laboratory, McGill University, Montreal, Canada
Case Study Presentation 2: Application of stochastic mine optimization technique for determining optimal open pit to underground mining transition depth at a large gold mine
James MacNeil
Senior Research Assistant
COSMO
Stochastic Mine Optimization Laboratory
IAMG 2015 Conference
September 7-10, 2015
Freiberg, Germany
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SIAM 2015 Conference
June 29-July 2, 2015
California, USA
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INFORMS
June 14-17, 2015
Montreal, Canada
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APCOM 2015 Conference
May 24-27, 2015
Fairbanks, Alaska
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PDAC
March 3-4, 2015
Toronto, Ontario
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SME Annual Conference & Expo
February 14-18, 2015
Denver, Colorado
Ore Reserve and Optimization in Strategic Mine Planning: From single mines to mining complexes and mineral value chains under metal supply
Short Course given by R. Dimitrakopoulos
Orebody Modelling and Strategic Mine Planning 2014
Integrated mineral investment and supply chain optimisation
November 24 – 26
Perth, Western Australia
MININ 2010 – IV Conference International on Mining Innovation
June 23 – June 25, 2010 (3 days)
Santiago, Chile
Energie und Rohstoffe 2009
September 8 – September 9, 2009 (2 days)
Stochastic resource modelling and mine planning optimization: Modern geostatistics and optimization tools for the mining industry.
Workshop given by R. Dimitrakopoulos
September 7th & 8th, 2009 (2 days)
Mining Geostatistics Revisited
Presentation given by R. Dimitrakopoulos
September 9th, 2009 (5:00 PM)
Referent: Prof. Roussos Dimitrakopoulos
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2009 IAMG Conference
August 24 – August 27, 2009 (4 days)
Stanford, California
Conference program and agenda:
August 24-27
The conference program will consist of traditional IAMG topics as well as some new topics not featured in past conferences. Three keynote speakers will present at the conference
- Matheron Lecturer, Emeritus Professor Jean-Laurent Mallet, Nancy School of Geology, former director of the gOcad research consortium, “GeoChron: A Mathematical framework for sedimentary geology
- Distinguished Lecturer, Professor Roussos Dimitrakopoulos, McGill University, “High-order Geostatistics: Simulating complex, non-Gaussian geological and environmental phenomena”
- Vistelius Prize Recipient, Professor Guillaume Caumon, School of Geology CRPG, Nancy Universite, “Towards 5D Geological Modeling”
The conference consists of plenary as well as parallel session. Several sessions feature presentations in line with the conference theme as well as Stanford’s tradition in Geostatistics
- Large-scale computing and geosciences
- Frontiers in Geostatistics
- Multi-scale Modeling
- Geomathematics and Energy Resources
Six student have been selected to compete in the student paper contest with a cash prize of $500 provided by Schlumberger Oil Services.
Workshops
(August 28) 8:30am-5:15pm
The day after the main presentation, several workshops will run in parallel on Campus. Registration for these workshops will be separate from the main conference. Workshops will only take place if enough interested participants sign up
- Workshop I: Multiple-point geostatistics: modeling with training-image based algorithms
Instructor: Alexandre Boucher, Stanford University
- Workshop II: Computational texture analysis with MTEX
Instructors: Helmut Schaeben, TU Bergakademie Freiberg and Ralf Hielscher, Helmholtz Zentrum MŸnchen
- Workshop III: Streamline Simulation for Geoscientists: Theory and Applications to Geological Modeling and Uncertainty
Instructor: Darryl Fenwick and Marco Thiele, Stanford University
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AUSIMM Orebody Modelling and Strategic Mine Planning Conference
March 16 – March 18, 2009 (3 days)
Perth, Western Australia
This event will be a three-day symposium highlighting the latest advances, technologies, practices and concerns in the field. Closing date for the submission of abstracts is July 21, 2008.
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Australia-Latin America Mining Summit 2009: Innovation, Simulation, Logistics, Optimization and Risk Management & Planning in Mining
February 23 – February 27, 2009 (5 days)
Syndey, Australia
SME Annual Meeting & Exhibit and CMA 11th Annual National Western
February 22 – February 25, 2009 (4 days)
Denver, Colorado
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Strategic vs. Tactical Approaches in Mining 2008
September 28 – October 1, 2008 (4 days)
Quebec City, QC
In collaboration with Université Laval, the University of Witwatersrand and the Australian Centre for Geomechanics and Xstrata, the principal sponsor, this third international seminar targets everyone involved in mine management and operations, who have decision making responsibility.
SME Annual Meeting & Exhibit: New Horizons/New Challenges
February 24 – February 27, 2008 (4 days)
Salt Lake City, Utah
Risk Assessment for Ore Reserves and Mine Planning: Stochastic Simulation Application for the Mining Industry
Practice of Stochastic Simulation for Risk Management in Mining
- Resource/reserve classification (large gold deposit)
- Cost effective drilling programs(lateritic nickel deposit)
- Assessing risk in recoverable reserves and meeting project production schedules ahead of mining (gold deposit)
- Risk based optimal design for sublevel open stoping(underground coppermine)
- Product quality management and production scheduling with uncertainty (iron ore deposit)
- Recoverable reserves, future data and mine design (gold and copper deposits)
- Selecting a mine design using both metal and market uncertainty(gold and copper deposits)
CIM Conference & Exhibition: Energy and Mines
April 29 – May 2, 2007 (4 days)
Montreal
Strategic Mine Planning for Risk Assessment
(session chaired by Roussos Dimitrakopoulos and Kostas Fytas, professor at Université LavaL)
- Maximiser – beyond pit optimization; M. Kelly, Gemcom Software International
- Assessing the impoact of windfall taxes on minin gprojects with flexible DCF and Real Option Monte Carlo simulation – an example from Mongolia; M.R. Samis, AMEC Americas, D. Laughton, David Laughton Consulting Ltd., M. Paduada, McGill University
- Mine planning efficiency: a quest for improvement; N. Vukovich, Phelps Dodge Mining Company
- Due diligence and audits of mine waste facilities – the basics; M.P. Davies, D. Bleiker, L.letourneau, AMEC Earth and environmental Ltd.
Ore Reserve Estimation – Models and Reality
(session chaired by Roussos Dimitrakopoulos)
- Learning the right lessons: myths and realities of resrouces estimates at Busang; R. Srivastava, FSS Canada
- A practical and efficient method for the simulation of recoverable reserves; R. Peattie
- Decision-making using an integrated evaluation model versus sensitivity analysis and Monte Carlo simulation; G. Nicholas, M. Rendall, S. Coward, MRM R&D, DeBeers; M.Thurston, De Beers Canada Inc.
- Reality of orebody models: from reconciliation to increased complexity when predictions meet reality: I. Douglas, Newmont Mining Corporation
SME Annual Meeting & Exhibit and Colorado Mining Association 109th National Western Mining Conference
February 25 – February 28, 2007 (4 days)
Denver, CO
Operations Research: Strategic Mine Planning: New Advances
(session chaired by Roussos Dimitrakopoulos)
- BlasorPlus- A generalized strategic mine planning optimization tool; M. Menabde, P. Stone and B. Law, BHP Billition, Melbourne (Australia); B. Baird, BHP BIllition, Santiago (Chile)
- A study of the impact of price uncertainty to a mining project valuation; M. Zhang and P. Stone, BHP Billition, Melbourne (Australia); R. Middleton, University of Newcastle, NSW (Australia); M. Menabde, BHP Billition, Melbourne (Australia)
- Optimization of investment decisions for open pit mines: D. Kamzolkin and N. Grigorenko, Moscow State University, Moscow (Russia); M. Menabde, BHP Billition, Melbourne (Australia)
- Joint ore-extraction and in-pit dumping optimization; M. Zuckerberg, P. Stone, R. Pasyar and E. Mader, BHP Billiton, Melbourne (Australia)
- Data mining, mining data: integrated unit cost variations; S. Desseureault, University of Arizona, Tuscon and R. Ganguli, Univeristy of Alaska-Fairbanks, Fairbanks
- Managing grade risk in stope design optimization: probabilistic mathematical programming model and application in sublevel stoping; N. Greico, AMEC, Oakville, Ontario (Canada) and R. Dimitrakopoulos, McGill University, Montreal, QC (Canada)
- An equipment selection application using the AHP method; M. Yavuz, Eskisehir Osmangazi University, Eskisehir (Turkey)
Operations Research: Strategic Mine Planning: Dealing With Uncertainty
(session chaired by Roussos Dimitrakopoulos)
- Interaction of grade and ratio simulations in assessing uncertainty for ore routing determinations for the gold quarry deposit; L. Allen, Newmont Mining Corp., Englewood, CO (USA) and M. Baumann, Newmont Mining Corp., Carlin, NV (USA)
- Long- and short-term production scheduling at LKAB’s Kiruna mine; M. Martinez, A. Newman and M. Kuchta, Colorado School of Mines, Golden, CO (USA)
- Stochastic production scheduling through the concept of future data; A. Jewbali, Rio Tinto Iron Ore, Perth (Australia)
- Production scheduling of iron ore deposits under joint multi-element uncertainty; R. Dimitrakopoulos, McGill University, Montreal, QC (Canada) and J. Benndorf, Washington Group Deutschlan GmbH, Theissen (Germany)
- Improving the robustness and confidence of underground mine design; M. Newton, Datamine Corporate Ltd., Tring (UK)
- Assessing the uncertainty due to grades and the grade shell limits for the West Leville Underground Deposit; R. Perry, Newmont Mining Corp., Englewood, CO (USA) and C. Deutsch, University of Alberta, Edmonton, AB (Canada)
- In pursuit of operations excellence; G. Westerdale and A. Lith, Washington Group Internationl, Denver, CO (USA)
- Truck dispatching – optimization of truck assignments under complex mining and process constraints; K. Dagdelen, Colorado School of Mines, Golden, CO (USA)
INFORMS (Institute for Operations Research and the Management Sciences): Annual meeting
November 4 – November 8, 2006 (4 days)
Pittsburg, PA
Energy, Natural Resources & The Environment
- Production Scheduling with Uncertain Supply: Example from Mining Orebodies by Roussos Dimitrakopoulos
