Advanced Resource Estimation and Simulation – Perth & Online

Taking your resource estimation knowledge to the next level

Course presenter: Ian Glacken – Executive Consultant and Dr Gregory Zhang – Senior Consultant

Enhance your resource estimation skills with our practical 3-day Advanced Resource Estimation and Simulation course.

Led by industry experts Ian Glacken and Dr. Gregory Zhang, this comprehensive program equips you with advanced techniques including recoverable resource generation, multiple indicator kriging, conditional simulation, and change of support. Plus, each attendee receives a FREE temporary Supervisor software license.

Course content:

  1. Kriging refresher:
    • Ordinary, simple, indicator, cokriging: applications and advantages
    • Dispersion variance and the change of support
  2. Tonnage-grade prediction:
    • Mining tonnage-grade curve prediction from sample data
    • Tonnage-grade curves of mining blocks: large block versus small block estimates
    • Global vs. local changes of support
    • The limitations of change of support techniques
  3. Non-linear estimation and recoverable resources:
    • Why recoverable resources
    • Principal recoverable resource estimation techniques
  4. Simulation techniques:
    • Overview and principles of conditional simulation
    • Conditional simulation of single and multiple variables
    • Multivariate simulation
    • Grade risk vs geological risk
    • Case studies of simulation in mining

Key learning points:

  • Review of kriging equations and methods
  • Application of non-linear kriging approaches
  • Predicting tonnage and grade during mining operations – global and local approaches
  • Estimation of recoverable resources using three techniques
  • Assessment of grade and geological risk through advanced simulation methods

Hands-on experience: Benefit from practical exercises using GSLIB-style software and Supervisor software, utilising real-world datasets provided by Snowden Optiro.

Benefits for attendees:

  • Practical insights into mining and mineral resource estimation
  • Optimization of grade and geological data
  • Hands-on experience with industry-standard software
  • Enhanced understanding of key concepts and best practices

Explore kriging equations thoroughly, followed by an examination of various kriging methods and their practical applications. Discover the advantages of non-linear kriging approaches, including single and multiple indicator kriging.

Delve into the concept of dispersion variance and its implications for estimating recoverable resources. Gain insights into predicting tonnage and grade during mining operations using sample data (global change of support) or large block estimate (local change of support). The course covers three primary recoverable resource techniques in detail: uniform conditioning, multiple indicator kriging, and conditional simulation.

Assess grade and geological risk through advanced simulation techniques. Explore methods such as sequential Gaussian simulation, sequential indicator simulation, turning bands, and more. Delve into categorical simulation for modeling geological features and multivariate simulation techniques for analyzing multiple variables.

Benefit from hands-on activities using GSLIB-style software and Supervisor software with real-world datasets provided by Snowden Optiro. Enhance understanding of key concepts and best practices throughout the course.

All attendees receive a free temporary Supervisor software licence.

Duration (in days)

3

Price in AU Dollars

In-house /Online or Onsite training is a cost-effective way of getting your whole team trained. Please contact us for a quote or further information. 

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Book Event

Advanced Resource Estimation and Simulation
Available Tickets: Unlimited

This practical 3-day Advanced Resource Estimation course shows you how and when to apply techniques such as co-kriging, multiple indicator kriging, conditional simulation and change of support. Each attendee will receive a FREE temporary Supervisor software license. You will receive a quote and payment details upon registration.

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