Drill Hole Spacing Analysis – DHSA | Training course
Unlock the power of drill-hole spacing analysis to optimize your sampling strategy and maximize resource confidence.
Objectives
Make smarter drilling decisions by mastering geostatistical simulations. Learn how to quantify grade uncertainty as a function of drill spacing and production volume, and design optimal drilling meshes that balance costs, recovery, and dilution. Gain practical skills to improve resource classification, support strategic mining decisions, and effectively reduce geological risk.
Course content
Theory
– Review of Turning Bands Simulation (TBS)
– Principles of DHSA
– Recovery versus dilution: evolution of uncertainty as a function of drillhole spacing
– An introduction to the panel as a production domain.
Practice in Isatis.neo
– Review of kriging and its smoothness properties.
– Review of TBS and scenario reduction.
– Overview of the DHSA workflow.
– Defining the production period and calculating associated uncertainties.
– Optimizing the Grade Control hole density for improved mining recovery and dilution control.
– Optimizing drillhole spacing.
Outlines
- Balanced learning approach: The course combines theory with practical applications, ensuring concepts are understood and applied effectively.
- Hands-on software training: Engage in computer-based exercises using Isatis.neo software, reinforcing learning through real-world data scenarios.
- Personalized feedback: Receive individualized guidance and feedback from experienced trainers during online sessions to support your learning journey.
- Comprehensive resources: Access detailed course materials, including documentation, journal files, and datasets, to reinforce learning and facilitate application post-training.
Who should attend
This course is designed for mining professionals – including resource, exploration, and mine geologists, as well as mining engineers and consultants – who aim to develop cost-effective sampling strategies and optimize drill programs to achieve more reliable short-term grade estimations, greater classification confidence, and reduced risk.
Prerequisites
This course covers advanced concepts in geostatistics. Participants are recommended to have a foundational understanding of variography and kriging. The course Mineral Resource Estimation by Linear Geostatistics provides an excellent foundation.