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Earth Sciences & Geography - Geology | Ore Reserve Estimation and Strategic Mine Planning - Stochastic Models and Optimizations with

Ore Reserve Estimation and Strategic Mine Planning

Stochastic Models and Optimizations with Case Studies

Dimitrakopoulos, Roussos

2016, 325 p.

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  • State-of-the-art technologies for risk-based orebody modelling and mine planning, optimization and risk management
  • Conditional simulation framework founded upon new fast and efficient methods for enhancing metal recovery and mine profitability
  • New uncertainty-based optimization formulations for mine design and production scheduling, capturing upside potential and minimizing downside risk of a mine/project

The mining business faces, perhaps more than any other, continual risk in producing metals and raw materials under fluctuating market demand. At the same time, the greatest uncertainty driving the risk and profitability of mining investments is the geological variability of mineral deposits.  This supply uncertainty affect the prediction of economic value from the initial valuation of a mining project through mine planning, design and production scheduling. Is this important? A World Bank survey, for example, shows 73% of mining projects failed in North America alone due to problems in their ore reserve estimates, leading to losses of billions in capital investment over a decade.

This book is the first of its kind, presenting state-of-the-art stochastic simulation and optimization techniques and step-by-step case studies. Quantification of geological uncertainty through new efficient conditional simulation techniques for large deposits, integration of uncertainty to stochastic optimization formulations for design and production scheduling and the concurrent management of risk are shown to create flexibility, options and oportunities, increase asset value, cashflows and return on investment.

New approaches introduced include resource/reserve risk quantification, cost-effective drilling programs, pit design and long-term production scheduling optimization with simulated orebodies, ore reserve classification, geologic risk discounting, waste managing and demand driven scheduling, risk assessment in meeting project production schedules ahead of mining, risk based optimal stope design, options valuation when mining. Applications include commodities such as gold, copper, nickel, iron ore, coal and diamonds.

 

Audience

This book will be of interest to mine planning engineers, resource and mine geologists, resource and financial analysts, mining engineers, mining project, mine managers.

Content Level » Research

Keywords » Conditional simulation - Ore reserves - Risk analysis - Stochastic optimization - Strategic mine planning

Related subjects » Applications - Fossil Fuels - Geology - Physical & Information Science

Distribution rights 

Distribution rights for North, South America: Society for Mining, Metallurgy and Exploration (SME)

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