{"product_id":"mineral-resource-estimation-9789401776509","title":"Mineral Resource Estimation","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eMineral resource estimation has changed considerably in the past 25 years: geostatistical techniques have become commonplace and continue to evolve; computational horsepower has revolutionized all facets of numerical modeling; mining and processing operations are often larger; and uncertainty quantification is becoming standard practice. Recent books focus on historical methods or details of geostatistical theory. So there is a growing need to collect and synthesize the practice of modern mineral resource estimation into a book for undergraduate students, beginning graduate students, and young geologists and engineers. It is especially fruitful that this book is written by authors with years of relevant experience performing mineral resource estimation and with years of relevant teaching experience. This comprehensive textbook and reference fills this need.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1  Introduction\u003c\/p\u003e\u003cp\u003e1.1  Objectives and Approach\u003c\/p\u003e\u003cp\u003e1.2  Scope of Resource Modeling\u003c\/p\u003e\u003cp\u003e1.3  Critical Aspects\u003c\/p\u003e\u003cp\u003e1.4  Historical Perspective\u003c\/p\u003e\u003cp\u003e1.5 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e2  Statistical Tools and Concepts\u003c\/p\u003e\u003cp\u003e2.1  Basic Concepts\u003c\/p\u003e\u003cp\u003e2.2  Probability Distributions\u003c\/p\u003e\u003cp\u003e2.3  Spatial Data Analysis\u003c\/p\u003e\u003cp\u003e2.4  Gaussian Distribution and Data Transformations\u003c\/p\u003e\u003cp\u003e2.5  Data Integration and Inference\u003c\/p\u003e\u003cp\u003e2.6  Exercises\u003c\/p\u003e\u003cp\u003e2.7 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e3  Geological Controls and Block Modeling\u003c\/p\u003e\u003cp\u003e3.1  Geological and Mineralization Controls\u003c\/p\u003e\u003cp\u003e3.2  Geologic Interpretation and Modeling\u003c\/p\u003e\u003cp\u003e3.3  Visualization\u003c\/p\u003e\u003cp\u003e3.4  Block Model Setup and Geometry\u003c\/p\u003e\u003cp\u003e3.5  Summary of Minimum, Good and Best Practices\u003c\/p\u003e\u003cp\u003e3.6  Exercises\u003c\/p\u003e\u003cp\u003e3.7 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e4  Definition of Estimation Domains\u003c\/p\u003e\u003cp\u003e4.1  Estimation Domains\u003c\/p\u003e\u003cp\u003e4.2  Defining the Estimation Domains\u003c\/p\u003e\u003cp\u003e4.3  Case Study: Estimation Domains Definition for the Escondida Mine\u003c\/p\u003e\u003cp\u003e4.4  Boundaries and Trends\u003c\/p\u003e\u003cp\u003e4.5  Uncertainties Related to Estimation Domain Definition\u003c\/p\u003e\u003cp\u003e4.6  Summary of Minimum, Good and Best Practices\u003c\/p\u003e\u003cp\u003e4.7  Exercises\u003c\/p\u003e\u003cp\u003e4.8 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e5  Data Collection and Handling\u003c\/p\u003e\u003cp\u003e5.1  Data\u003c\/p\u003e\u003cp\u003e5.2  Basics of Sampling Theory\u003c\/p\u003e\u003cp\u003e5.3  Sampling Quality Assurance and Quality Control\u003c\/p\u003e\u003cp\u003e 5.4  Variables and Data Types\u003c\/p\u003e\u003cp\u003e5.5  Compositing and Outliers\u003c\/p\u003e\u003cp\u003e5.6  Density Determinations\u003c\/p\u003e\u003cp\u003e5.7  Geometallurgical Data\u003c\/p\u003e\u003cp\u003e5.8  Summary of Minimum, Good and Best Practices\u003c\/p\u003e\u003cp\u003e5.9  Exercises\u003c\/p\u003e\u003cp\u003e5.10 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e6  Spatial Continuity\u003c\/p\u003e\u003cp\u003e6.1  Concepts\u003c\/p\u003e\u003cp\u003e6.2  Experimental Variograms and Exploratory Analysis\u003c\/p\u003e\u003cp\u003e6.3  Modeling 3-D Variograms\u003c\/p\u003e\u003cp\u003e6.4  Multivariate Case\u003c\/p\u003e\u003cp\u003e6.5  Summary of Minimum, Good and Best Practices\u003c\/p\u003e\u003cp\u003e6.6  Exercises\u003c\/p\u003e\u003cp\u003e6.7 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e7  Mining Dilution\u003c\/p\u003e\u003cp\u003e7.1  Recoverable vs. In-Situ Resources\u003c\/p\u003e\u003cp\u003e7.2  Types of Dilution and Ore Loss\u003c\/p\u003e\u003cp\u003e7.3  Volume-Variance Correction\u003c\/p\u003e\u003cp\u003e7.4  Information Effect\u003c\/p\u003e\u003cp\u003e7.5  Summary of Minimum, Good and Best Practices\u003c\/p\u003e\u003cp\u003e7.6  Exercises\u003c\/p\u003e\u003cp\u003e7.7 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e8  Recoverable Resources: Estimation\u003c\/p\u003e\u003cp\u003e8.1  Goals and Purpose of Estimation\u003c\/p\u003e\u003cp\u003e8.2  Kriging Estimators\u003c\/p\u003e\u003cp\u003e8.3  CoKriging\u003c\/p\u003e\u003cp\u003e8.4  Block Kriging\u003c\/p\u003e\u003cp\u003e8.5  Kriging Plans\u003c\/p\u003e\u003cp\u003e8.6  Summary of Minimum, Good and Best Practices\u003c\/p\u003e\u003cp\u003e8.7  Exercises\u003c\/p\u003e\u003cp\u003e8.8 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e9  Recoverable Resources: Probabilistic Estimation\u003c\/p\u003e\u003cp\u003e9.1  Conditional Distributions\u003c\/p\u003e\u003cp\u003e9.2  Gaussian-based Kriging Methods\u003c\/p\u003e\u003cp\u003e9.3  Indicator Kriging\u003c\/p\u003e\u003cp\u003e9.4  Summary of Minimum, Good and Best Practices\u003c\/p\u003e9.5  Exercises\u003cp\u003e9.6 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e10  Recoverable Resources: Simulation\u003c\/p\u003e\u003cp\u003e10.1  Simulation versus Estimation\u003c\/p\u003e\u003cp\u003e10.2  Continuous Variables: Gaussian-based Simulation\u003c\/p\u003e\u003cp\u003e10.3  Continuous Variables: Indicator-based Simulation\u003c\/p\u003e\u003cp\u003e10.4  Simulated Annealing\u003c\/p\u003e\u003cp\u003e10.5  Simulating Categorical Variables\u003c\/p\u003e\u003cp\u003e10.6  Co-simulation: Using Secondary Information and Joint Conditional Simulations\u003c\/p\u003e\u003cp\u003e10.7  Post Processing Simulated Realizations\u003c\/p\u003e\u003cp\u003e10.8  Summary of Minimum, Good and Best Practices\u003c\/p\u003e\u003cp\u003e10.9  Exercises\u003c\/p\u003e\u003cp\u003e10.10 Reference\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e11  Resource Model Validations and Reconciliations\u003c\/p\u003e\u003cp\u003e11.1  The Need for Checking and Validating the Resource Model\u003c\/p\u003e\u003cp\u003e11.2  Resource Model Integrity\u003c\/p\u003e\u003cp\u003e11.3  Resampling\u003c\/p\u003e\u003cp\u003e11.4  Resource Model Validation\u003c\/p\u003e\u003cp\u003e11.5  Comparisons with Prior and Alternate Models\u003c\/p\u003e\u003cp\u003e11.6  Reconciliations\u003c\/p\u003e\u003cp\u003e11.7  Summary of Minimum, Good and Best Practices\u003c\/p\u003e\u003cp\u003e11.8  Exercises\u003c\/p\u003e\u003cp\u003e11.9 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e12  Uncertainty and Risk\u003c\/p\u003e\u003cp\u003e12.1  Models of Uncertainty\u003c\/p\u003e\u003cp\u003e12.2  Assessment of Risk\u003c\/p\u003e\u003cp\u003e12.3  Resource Classification and Reporting Standards\u003c\/p\u003e\u003cp\u003e12.4  Summary of Minimum, Good and Best Practices\u003c\/p\u003e\u003cp\u003e12.5  Exercises\u003c\/p\u003e\u003cp\u003e12.6 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e13  Short Term Models\u003c\/p\u003e\u003cp\u003e13.1  Limitations of Long-term Models for Medium-term Planning\u003c\/p\u003e\u003cp\u003e13.2  Medium- and Short-term Modeling\u003c\/p\u003e\u003cp\u003e13.3  Selection of Ore and Waste\u003c\/p\u003e\u003cp\u003e13.4  Selection of Ore and Waste: Simulation-based Methods\u003c\/p\u003e\u003cp\u003e13.5  Practical and Operational Aspects of Grade Control\u003c\/p\u003e\u003cp\u003e13.6  Summary of Minimum, Good and Best Practices\u003c\/p\u003e\u003cp\u003e13.7  Exercises\u003c\/p\u003e\u003cp\u003e13.8 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e14  Case Studies\u003c\/p\u003e\u003cp\u003e14.1  The 2003 Cerro Colorado Resource Model\u003c\/p\u003e\u003cp\u003e14.2  Multiple Indicator Kriging: São Francisco Gold Deposit\u003c\/p\u003e\u003cp\u003e14.3  Modeling Escondida Norte’s Oxide Units with Indicators\u003c\/p\u003e\u003cp\u003e14.4  Multivariate Geostatistical Simulation at Red Dog Mine\u003c\/p\u003e\u003cp\u003e14.5  Uncertainty Models and Resource Classification: The Michilla Mine Case Study\u003c\/p\u003e\u003cp\u003e14.6  Grade Control at the San Cristóbal Mine\u003c\/p\u003e\u003cp\u003e14.7 Geometallurgical Modeling at Olympic Dam, South Australia\u003c\/p\u003e\u003cp\u003e14.8 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e15  Conclusions\u003c\/p\u003e\u003cp\u003e15.1  Building a Mineral Resource Model\u003c\/p\u003e\u003cp\u003e15.2  Assumptions and Limitations of the Models Used\u003c\/p\u003e\u003cp\u003e15.3  Documentation and Audit Trail Required\u003c\/p\u003e\u003cp\u003e15.4  Future Trends\u003c\/p\u003e\u003cp\u003e15.5 References\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eIndex\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53518284521815,"sku":"9789401776509","price":54.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/mineral-resource-estimation-9789401776509","provider":"Book Curl","version":"1.0","type":"link"}