Description
Introduction
This advanced-level training course is designed for senior geologists, resource geologists, and mining engineers who require in-depth knowledge of resource estimation methodologies, advanced geostatistical techniques, and regulatory compliance. The course covers complex estimation techniques, uncertainty quantification, and economic evaluation of mineral resources for phosphate, gold, and bauxite deposits.
Date
Day | Time | Price | Country |
|---|---|---|---|
Mon – Wed | 8:00 – 10:00 | $5/hrs | Turkey |
Tue – Thu | 18:00 – 19:00 | $5/hrs | Turkey |
Wed – Fri | 20:00 – 21:00 | $5/hrs | Turkey |
Sat – Sun | 18:00 – 19:00 20:00 – 21:00 | $8/hrs | Turkey |
This Training Course Will Highlight
- Advanced geostatistical methods and grade estimation techniques.
- 3D modeling and resource estimation using industry-standard software.
- Economic evaluation of mineral resources and reserve conversion.
- Advanced risk assessment and uncertainty analysis in resource estimation.
- Compliance with JORC, NI 43-101, and SAMREC reporting standards.
Objectives
- Understand the fundamentals of mineral resource estimation.
- Learn about classification systems (Measured, Indicated, Inferred resources).
- Gain knowledge of reporting standards and compliance requirements.
- Develop an understanding of sampling techniques and QA/QC in resource estimation.
- Recognize the importance of transparent and responsible mineral reporting.
Training Methodology
- Instructor-led lectures on mineral resource estimation principles.
- Practical demonstrations of sample collection and validation.
- Basic exercises in resource estimation calculations.
- Discussions on case studies from real-world mining projects.
- Interactive Q&A sessions on mineral reporting compliance.
- Case Study: Resource estimation process for a phosphate, gold, or bauxite deposit.
Organizational Impact
- Enhances compliance with international reporting standards.
- Improves resource estimation accuracy for exploration projects.
- Strengthens technical understanding of mineral classification.
- Supports better decision-making in mine planning.
- Reduces exploration risks through effective resource evaluation.
Personal Impact
- Develops fundamental skills in resource estimation and classification.
- Improves knowledge of regulatory compliance in mineral reporting.
- Strengthens understanding of sample integrity and QA/QC.
- Expands career opportunities in mineral exploration and mining.
- Builds confidence in interpreting and reporting resource estimates.
Who Should Attend?
- Entry-level geologists and mining engineers.
- Junior exploration staff in mining companies.
- Resource estimation analysts and junior mine planners.
- Government mining and geological survey personnel.
- Undergraduate geology and mining students.
- Technical staff involved in mineral reporting compliance.
- Professionals transitioning into the field of mineral resource evaluation.
Course Outline
Day 1
Advanced Data Management and Statistical Analysis in Resource Estimation- Handling large datasets – drill hole database management.
- Data validation techniques – outlier detection, declustering, and compositing.
- Exploratory data analysis – normality testing, probability plots, and trend analysis.
- Variogram modeling – understanding spatial continuity in mineral deposits.
- Multivariate statistical analysis for complex ore deposits.
- Variogram modeling for gold resource estimation.
Day 2
Advanced Grade Estimation Techniques- Comparison of estimation methods – IDW, Kriging, and conditional simulation.
- Ordinary Kriging (OK) vs. Indicator Kriging (IK) vs. Co-Kriging.
- Understanding estimation smoothing effects and bias minimization.
- Dynamic anisotropy in mineralized systems – advanced search ellipse settings.
- Validating estimation models through cross-validation and swath plots.
- Advanced Kriging-based estimation of a phosphate deposit.
Day 3
3D Block Modeling and Reserve Conversion- Developing detailed 3D geological models for resource estimation.
- Resource-to-reserve conversion – technical and economic considerations.
- Pit optimization and strategic mine planning using block models.
- Ore blending and stockpile management considerations.
- Calculating recoverable reserves based on processing constraints.
- Resource-to-reserve conversion for a bauxite deposit.
Day 4
Uncertainty Analysis and Risk Management in Resource Estimation- Monte Carlo simulation in resource estimation.
- Conditional simulation techniques for uncertainty quantification.
- Sensitivity analysis – impact of input variables on resource estimates.
- Comparing deterministic vs. probabilistic resource estimation approaches.
- Economic and financial risks associated with mineral resource estimates.
- Uncertainty assessment in a gold resource estimation project.
Day 5
Reporting Standards, Regulatory Compliance, and Investor Relations- Legal frameworks for mineral resource disclosure and compliance.
- Ensuring transparency and best practices in resource reporting.
- Creating effective resource statements for investors and stakeholders.
- Pitfalls in mineral resource reporting and how to avoid them.
- Emerging trends in resource estimation – AI, machine learning, and automation.
Cancellation policy
no refund is accepted
Certificate
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