Resource and Block Modeling - Gems - 3 Days

Who Should Attend

The Resource and Block Modeling course is a comprehensive three-day course designed for mining and resource industry professionals including mine planners, mining engineers, geoscientists, geologists, and managers from exploration to operations. It is ideally suited to those from industry who wish to gain a more in depth and hands-on knowledge of modern resource modeling software tools and theory.

Course Description

Software: Geovia Gems

The Resource Modelling course is a three-day course for resource geologists, geoscientists, and mining engineers who want to update their knowledge of resource estimation and classification techniques. The course includes review of basic statistics, review of drillhole compositing, basic geostatistical analysis, variography and search ellipsoids, block model setup and updating, single and multiple folder block models, inverse distance estimation, theory of kriging, application of kriging, change of support, cross validation, and NI-43-101 resource classification into measured, indicated, and inferred categories. This course will also explore different methods of categorizing and reporting volumes and tonnages for resources. Participants will complete a resource modeling project. The project covers all the required steps from basic statistical analyses, experimental variogram calculation, variogram modeling, search ellipsoid setup, grade estimation using inverse distance and kriging, cross validation of results, and finally resource classification. The modules for the course are as follows:
  • • 1: Basic Statistics
    • 2: Variograms
            • Lab01: Basic Statistics
            • Lab02: 2D Variography
             • Lab03: 3D Variography
             • Lab04: Indicator Variography
    • 3: Inverse Distance & Kriging Theory
            Lab05: Single Folder Block Model & Inverse Distance Squared Interpolation
             • Lab06: Partial Block Models & OrdinaryKriging Interpolation
    • 4: Numerical Rock Type Modeling
    • 5: Block Modeling & Interpolation
    • 6: Cross Validation and Resource Classification

Outcomes of the course include:

    By the end of this course, you should be able to:
        • Perform statistical analysis
        • Understand variogram concepts
        • Calculate experimental variograms and model variograms
        • Interpret variogram maps
        • Establish search ellipsoids
        • Create block model projects
        • Update block attributes for rock type and density
        • Understand kriging theory
        • Use inverse distance and kriging to estimate grade attributes
        • Use indicator kriging for numerical rock type modeling
        • Create partial block models
        • Cross validate the estimated block model values
        • Import and export block models
        • Classify resources based on NI 43-101 guidelines
        • Report volumes and tonnages using the block model with solids and/or surfaces.   

Module 1: Basic Statistics

• Understanding the Geological Domains
    o The Impact of Domains on Estimated Values
• Basic Statistics
    o Descriptive statistics
    o Histograms
    o Cumulative Probability Plots
    o Probability Plots
    o Bimodal Distributions
• Outliers
    o Outliers and top cuts o Methods for determining a top cut value
    o Histograms
    o Confidence interval
    o Percentile
    o Applying a top cut in GEMS
• Anisotropy
    o Viewing a Search Ellipse Sphere
    o Examples of Search Ellipse Parameters

Module 2 – Variograms

    • Variogram Concepts
        o What is a variogram?
        o Variogram Parameters
        o Linear (Downhole) variography
        o Omnidirectional and Directional Variography
        o Effect of nugget, range and discretisation
        o Creating and Viewing Experimental Variograms
        o Changing the Variogram Type
        o Summary: Steps to Create an Experimental Variogram
• Modeling a Variogram
    o Opening and Modeling an Experimental Variogram
    o Viewing Different Types of Variogram Models
    o Summary: Steps to Model an Experimental Variogram
    o Variogram modelling tips
• Variogram Maps
    o Calculating and Modeling the Primary and Secondary Variogram Map
    o Saving Variography Parameters to Profiles
• Other Geostatistical Considerations

Module 3 – Block Modeling

• Block Model Setup
• Define block model geometry and set up workspace
• Create additional attributes, folders and model mappings if required
• Initialise/check background values
• Create cell display profiles
• Block Model Interpolation
• Update rock type and density
• Display blocks
• Grade interpolation using Inverse Distance Squared
• Multi Folder Block Models
• Ordinary Kriging (trace blocks, search ellipse, variogram and kriging profiles)
• Block model manipulations
• Visual validation
• Other validation methods
• Partial block models
•Other Block Model Considerations