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International Mining Geology Conference 2019, 25-26 November 2019 Perth, Australia.

The book was held in Perth, Western Australia on 25-26 November 2019. It was jointly convened by the Australian Institute of Geoscientists (AIG) and the Australasian Institute of Mining and Metallurgy (AusIMM).The conference focused on the future of the industry and the impacts on mining geology and...

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Bibliographic Details
Corporate Authors: The Australasian Institute of Mining and Metallurgy, Knovel (Firm)
Format: eBook
Language:English
Published: Carlton, Australia: The Australasian Institute of Mining and Metallurgy (The AusIMM), 2019.
Subjects:
Mining geology.
Geological modeling.
Metallurgy.
Géologie minière.
Modèles en géologie.
Métallurgie.
metallurgy.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Matter
  • Part I. Keynote Presentations
  • 1. Resources beyond Earth: Enabling Future Exploration and the New Space Economy
  • 2. Exploration at Europe's Largest Zinc Mine at Boliden Tara Mines, Navan, Ireland: From Soil Geochemistry to Seismics
  • 3. Extracting Geological Information from Complex Drill Hole Data Sets, Rapidly and Consistently
  • 4. Toward Robust and Reliable Implicit Geological Models
  • 5. Domaining in Mineral Resource Estimation
  • Part II. Best Practice in Data Collection and Mining Geology
  • Now and Emerging
  • 6. Continuous Improvements in Mine Geology at Kanmantoo
  • 7. The Highly Vexed Issue of Reasonable Prospects for Eventual Economic Extraction (RPEEE)
  • Narrowing the Range of Practice
  • 8. Transparency and Standardisation in Metal Reconciliation Reporting
  • 9. The Importance of Assay Method and Accuracy
  • A Scandium Case Study
  • 10. The Importance of Deposit Specific Duplicate Sampling Protocols
  • 11. Application of Implicit Modelling Tools, Oyu Tolgoi Copper and Gold Mine, Southern Mongolia
  • 12. Measure while Drilling: A Case Study at Daunia Coal Mine
  • 13. The Use and Abuse of Metal Equivalents
  • 14. PhotonAssay
  • Efficient and Bulk Gold Analysis in the Modern World
  • Part III. Geological Modelling, Geometallurgical Modelling and Resource Estimation
  • Sound Practice to Leading Edge
  • 15. Automating Estimation Parameters: A Case Study Evaluating Preferred Paths for Optimisation
  • 16. Developing the Geological Model for Sunrise Dam Gold Mine
  • Insights from Exploration to Mining
  • 17. A Practical Assessment of Drill Hole Spacing at Olympic Dam
  • Juggling Cost vs. Revenue
  • 18. Application of Pluri-Gaussian Simulations and Conditional Simulation for Geological Modelling and Estimation of a Nickel Deposit in New Caledonia
  • 19. Machine Learning and Resource Geology
  • 20. Destroying the Distinction between Explicit and Implicit Geological Modelling
  • 21. Gold Grade Estimation Using Alteration-Based Indicator Kriging at Gwalia Mine, Western Australia
  • 22. Regolith Domain Modelling Using Multivariate Cluster Analysis at Mt Thirsty Co-Ni Deposit
  • 23. Deep Learning
  • A New Paradigm for Orebody Modelling
  • 24. BHP Olympic Dam's Transformation to Live Implicit Modelling and Innovative Solutions to Working in Data Dense Environments
  • 25. Simple Solutions for Solving Complex Problems
  • Combining MIK with OK Estimation Techniques at Olympic Dam
  • Part IV. Maximising Orebody Value and Driving Productivity Improvement
  • 26. Site Specific Longwall Cavity Formation
  • A Quantitative Study from an Typical Dataset
  • 27. What Controls High-Grade Copper Mineralisation at Olympic Dam?
  • 28. Financial Analysis: Closing the Loop in Valuing Mining Geology
  • 29. Drilling Plan Generation Based on Uncertainty Models
  • Definition of Uncertainty Thresholds, Error for a Determined Volume at Escondida Mine
  • 30. Newmont Goldcorp Tanami Operations
  • Value Added through Implementation of a New Web-Based Reconciliation Database
  • 31. Geometallurgical Application in an Underground Gold Operation
  • 32. Predicting Sulfide Mineral Abundances from Drill Core to Smelter Feed: Impact on the Olympic Dam Value Chain
  • 33. Optimal Blending Strategy for Coking Coal Given Geological Uncertainty
  • 34. Blast Induced Ore Movement: The Missing Step in Achieving Realistic Reconciliations
  • 35. Evolution of Mine Geology in Rio Tinto Iron Ore Including the Use of Geological Domains to Drive Improvements in Orebody Knowledge and Value
  • 36. Quantification of the Benefits of Innovation in Mining Grade Control
  • 37. The Implementation of Photogrammetry and Automated Data Analysis Functions at the Waihi Underground Gold Mine
  • Part V. Mine Value Chain Integration
  • It's Not Just about the Geoscience
  • 38. Goldilocks: Value of Information for Geoscience in Bulk Mineral Mining
  • 39. Applying Geophysics to Mining Geology Problems
  • 40. Are We Getting Enough 'T' into Our Geoscientists?
  • 41. Oxidising Value
  • Part VI. The Future of Mining and Mining Geology
  • Advances in Technology, AI and Automation
  • 42. Transforming Geoscience through Integrated Workflows at Olympic Dam
  • 43. A Golden Age for Optimisation in the Mining Industry
  • 44. Leveraging Technology and Geological Skill: Cracking the Lantern Code
  • 45. In-RC Rod Density
  • Enabling Data Acquisition in Unstable Ground
  • 46. The Application of Deep Learning to Extract Geological Information from Drill Core Imagery
  • Part VII. Poster Presentations
  • 47. Pit Mapping and Structural Modelling Using Adam Tech and Leapfrog Geo Software Solutions
  • 48. Green Data Collection and Mining Strategy for Sustainable-Best Practice in the Mining-Geology Sector in the Mindanao Region of the Philippines
  • 49. Can Old Tailings Disposals Become Mineral Resources? A Portuguese Case Study
  • 50. Grade Control Improvements Using Vulcan Integrates and Optimiser at the Oyu Tolgoi Copper-Gold Mine, Mongolia