Orbody modelling and strategic mine planning. Uncertainty and risk management models (AuaIMM)/ Моделирование рудных тел и стратегическое планирование горных работ. Модели управления неопределенностью и рисками

‘Orebody modelling and strategic mine planning’ are arguably the backbone of our industry and represent an intricate, complex and critically important part of mining ventures. They have a profound effect on the value of a mine, as well as determining the technical plan to be followed from mine development to mine closure.
It is most gratifying to introduce the second revised edition of this Spectrum Series volume on the above topic, following the depletion of all copies of the first edition within about a year of its publication. The present volume includes new developments since the first edition, ranging from integrated mine evaluation and mine management under uncertainty presented by DeBeers, to BHP Billiton’s recent efforts in jointly optimising ore extraction and in-pit dumping, to the stochastic simulation of orebody geology or wireframes with multi-point spatial statistics. Undoubtedly, this edition is a reaffirmation of the continuing commitment to our field of work by a large number of individuals, mining companies and professional organisations.
Uncertainty and risk management models are the underlying themes of this volume. Several of the papers presented refer to the staggering statistics of mining risk and the recognised importance to strategic mine planning of geological ore reserve risk. The reality is that few projects perform as expected due to problems in orebody modelling and ore reserve estimates. Surveys suggest that nearly three quarters of mining projects fail to meet expectations, leading to capital investment losses in the order of hundreds of millions of dollars. The aim of this volume is to foster not only an understanding of the adverse effects of risk, but also address the potential limitations encountered in traditional methods and demonstrate how to technically manage risk to perform better. Adding value to the industry means demonstrating how the quantification of uncertainty and risk management can be used to capture maximum upside potential while minimising downside risk in assessing the value of mining assets. <...>

Beyond Naïve Optimisation

Integrated Mine Evaluation — Implications for Mine Management

Using Real Options to Incorporate Price Risk into the Valuation of a Multi-Mineral Mine

Roadblocks to the Evaluation of Ore Reserves — The Simulation Overpass and Putting More Geology into Numerical  Models of Deposits

Quantification of Risk Using Simulation of the Chain of Mining — Case Study at Escondida Copper, Chile

Integrated Strategy Optimisation for Complex Operations

Simulation of Orebody Geology with Multiple-Point Geostatistics — Application at Yandi Channel Iron Ore Deposit, WA and Implications for Resource Uncertainty

New Efficient Methods for Conditional Simulation of Large Orebodies

A Practical Process for Geostatistical Simulation with Emphasis on Gaussian Methods

Conditional Simulation by Successive Residuals — Updating of Existing Orebody Realisations

Fractal-Based Fault Simulations Using a Geological Analogue — Quantification of Fault Risk at Wyong, NSW, Australia

The Use of Conditional Simulation to Assess Process Risk Associated with Grade Variability at the Corridor Sands Detrital Ilmenite Deposit, Mozambique

Risk Management Through the Use of 2D Conditional Co-Simulation at an Underground Gold Mine in Western Australia

Pseudoflow, New Life for Lerchs-Grossmann Pit Optimisation
Large-Scale Production Scheduling with the Fundamental Tree Algorithm — Model, Case Study and Comparisons

Multi-Mine Better Than Multiple Mines

Blasor — Blended Iron Ore Mine Planning Optimisation at Yandi, Western Australia

Joint Ore Extraction and In-Pit Dumping Optimisation

Optimisation in the Design of Underground Mine Access

Open Pit Optimisation — Strategies for Improving Economics of Mining Projects Through Mine Planning

Network Linear Programming Optimisation of an Integrated Mining and Metallurgical Complex

Application of Conditional Simulations to Capital Decisions for Ni-Sulfide and Ni-Laterite Deposits

Grade Uncertainty in Stope Design — Improving the Optimisation Process

Strategic Mine Planning at Murrin-Murrin, Western Australia — Implementing NetVal

Development and Application of Whittle Multi-Mine at Geita Gold Mine, Tanzania

Assessing Underground Mining Potential at Ernest Henry Mine Using Conditional Simulation and Stope Optimisation

Optimising Open Pit Design with Simulated Orebodies and Whittle Four-X — A Maximum Upside/Minimum Downside Approach

Incorporating Grade Uncertainty in the Decision to Expand the Main Pit at the Navachab Gold Mine, Namibia, Through the Use of Stochastic Simulation

Orebody Modelling, Mine Planning, Reserve Evaluation and the Regulatory Environment

Diamond Resources and Reserves — Technical Uncertainties Affecting Their Estimation, Classification and Valuation

Koniambo Lateritic Ni-Co Deposits, New Caledonia — A Case Study from Geological Modelling to Mineral Resource Classification

The Value of Additional Drilling to Open Pit Mining Projects

Quantification of Geological Uncertainty and Risk Using Stochastic Simulation and Applications in the Coal Mining Industry

Risk Assessment in Strategic and Tactical Geomechanical Underground Mine Design

Geotechnical Risk Considerations in Mine Planning

Mine Design in Western Australia — A Regulator’s Perspective

A Practical Application of an Economic Optimisation Model in an Underground Mining Environment

The Use of Extractive Blending Optimisation for Improved Profitability

Optimising the Strategic Mine Plan — Methodologies, Findings, Successes and Failures

Optimising Multiple Operating Policies for Exploiting Complex Resources — An Overview of the COMET Scheduler

Integrating Multiple Simulations and Mining Dilution in Open Pit Optimisation Algorithms

Hybrid Pits — Linking Conditional Simulation and Lerchs-Grossmann Through Set Theory

Global Asset Optimisation

A Multi-Stage Approach to Profitable Risk Management for Strategic Planning in Open Pit Mines

A New Efficient Joint Simulation Framework and Application in a Multivariable Deposit

Modelling the Geometry of Geological Units and its Uncertainty in 3D from Structural Data — The Potential-Field Method

Planning, Designing and Optimising Production Using Geostatistical Simulation

Mining Schedule Optimisation for Conditionally Simulated Orebodies

Stochastic Optimisation of Long-Term Production Scheduling for Open Pit Mines with a New Integer Programming Formulation

Uncertainty and Risk Management in Research and Development