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Advances in Applied Strategic Mine Planning

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Cover of 'Advances in Applied Strategic Mine Planning'

Table of Contents

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    Book Overview
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    Chapter 1 Beyond Naïve Optimisation
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    Chapter 2 Optimal Mining Principles
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    Chapter 3 The Global Optimiser Works—What Next?
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    Chapter 4 Blasor—Blended Iron Ore Mine Planning Optimisation at Yandi, Western Australia
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    Chapter 5 Roadblocks to the Evaluation of Ore Reserves—The Simulation Overpass and Putting More Geology into Numerical Models of Deposits
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    Chapter 6 Quantification of Risk Using Simulation of the Chain of Mining—Case Study at Escondida Copper, Chile
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    Chapter 7 A Risk Analysis Based Framework for Strategic Mine Planning and Design—Method and Application
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    Chapter 8 Mining Schedule Optimisation for Conditionally Simulated Orebodies
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    Chapter 9 Stochastic Mine Planning—Methods, Examples and Value in an Uncertain World
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    Chapter 10 The Value of Additional Drilling to Open Pit Mining Projects
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    Chapter 11 Stochastic Optimisation of Long-Term Production Scheduling for Open Pit Mines with a New Integer Programming Formulation
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    Chapter 12 Stochastic Long-Term Production Scheduling of Iron Ore Deposits: Integrating Joint Multi-element Geological Uncertainty and Ore Quality Control
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    Chapter 13 Stochastic Mine Planning—Example and Value from Integrating Long- and Short-Term Mine Planning Through Simulated Grade Control, Sunrise Dam, Western Australia
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    Chapter 14 A New Methodology for Flexible Mine Design
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    Chapter 15 Direct Net Present Value Open Pit Optimisation with Probabilistic Models
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    Chapter 16 Simultaneously Optimizing Open-Pit and Underground Mining Operations Under Geological Uncertainty
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    Chapter 17 Combining Optimisation and Simulation to Model a Supply Chain from Pit to Port
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    Chapter 18 Network Linear Programming Optimisation of an Integrated Mining and Metallurgical Complex
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    Chapter 19 Open Pit Transition Depth Determination Through Global Analysis of Open Pit and Underground Mine Production Scheduling
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    Chapter 20 Consideration for Multi-objective Metaheuristic Optimisation of Large Iron Ore and Coal Supply Chains, from Resource to Market
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    Chapter 21 Application of Conditional Simulations to Capital Decisions for Ni-Sulfide and Ni-Laterite Deposits
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    Chapter 22 Simulation of Orebody Geology with Multiple-Point Geostatistics—Application at Yandi Channel Iron Ore Deposit, WA, and Implications for Resource Uncertainty
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    Chapter 23 New Efficient Methods for Conditional Simulations of Large Orebodies
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    Chapter 24 Transformation Methods for Multivariate Geostatistical Simulation—Minimum/Maximum Autocorrelation Factors and Alternating Columns Diagonal Centres
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    Chapter 25 Strategies for Mine Planning and Design
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    Chapter 26 Planning, Designing and Optimising Production Using Geostatistical Simulation
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    Chapter 27 Geometallurgical Modelling and Ore Tracking at Kittilä Mine
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    Chapter 28 Predicting Mill Ore Feed Variability Using Integrated Geotechnical/Geometallurgical Models
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    Chapter 29 Using Grade Uncertainty to Quantify Risk in the Ultimate Pit Design for the Sadiola Deep Sulfide Prefeasibility Project, Mali, West Africa
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    Chapter 30 Applicability of Categorical Simulation Methods for Assessment of Mine Plan Risk
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    Chapter 31 Cut-off Grade Based Sublevel Stope Mine Optimisation
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    Chapter 32 Classification of Mining Methods for Deep Orebodies
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    Chapter 33 Grade Uncertainty in Stope Design—Improving the Optimisation Process
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    Chapter 34 Strategic Optimisation of a Vertical Hoisting Shaft in the Callie Underground Mine
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    Chapter 35 Strategic Underground Mine Access Design to Maximise the Net Present Value
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    Chapter 36 Production Schedule Optimisation—Meeting Targets by Hedging Against Geological Risk While Addressing Environmental and Equipment Concerns
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    Chapter 37 A Stochastic Optimization Formulation for the Transition from Open-Pit to Underground Mining Within the Context of a Mining Complex
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    Chapter 38 An Open-Pit Multi-Stage Mine Production Scheduling Model for Drilling, Blasting and Excavating Operations
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    Chapter 39 Optimising the Long Term Mine Landform Progression and Truck Hour Schedule in a Large Scale Open Pit Mine Using Mixed Integer Programming
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    Chapter 40 Solving a Large SIP Model for Production Scheduling at a Gold Mine with Multiple Processing Streams and Uncertain Geology
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    Chapter 41 Stochastic Optimisation of Mineral Value Chains—Developments and Applications for the Simultaneous Optimisation of Mining Complexes with Uncertainty
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    Chapter 42 Sensor Based Real-Time Resource Model Reconciliation for Improved Mine Production Control—A Conceptual Framework
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    Chapter 43 On the Joint Multi Point Simulation of Discrete and Continuous Geometallurgical Parameters
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    Chapter 44 Geologically Enhanced Simulation of Complex Mineral Deposits Through High-Order Spatial Cumulants
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    Chapter 45 Optimising a Mineral Supply Chain Under Uncertainty with Long-Term Sales Contracts
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Title
Advances in Applied Strategic Mine Planning
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-69320-0
ISBNs
978-3-31-969320-0, 978-3-31-969319-4
Editors

Roussos Dimitrakopoulos

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 20%
Student > Master 16 14%
Researcher 10 9%
Student > Bachelor 9 8%
Student > Doctoral Student 6 5%
Other 16 14%
Unknown 35 30%
Readers by discipline Count As %
Engineering 53 46%
Earth and Planetary Sciences 6 5%
Environmental Science 3 3%
Materials Science 2 2%
Economics, Econometrics and Finance 2 2%
Other 7 6%
Unknown 42 37%