GOCAD® Mining Suite

Targeting Workflow Module
Earth modelling and 3D-GIS solutions for mineral exploration
Summary
The Targeting Workflow provides 2D and 3D mineral potential modelling
solutions for exploration geoscientists. Multiple exploration criteria can be
combined using a variety of knowledge and data-driven methods tohighlight prospective ground. Quantitative analysis and advanced visualization tools are used to identify and rank drillhole targets. A unique
workflow interface dynamically guides the user through an expert process
yielding reliable and repeatable results for better, faster decision making.
GOCAD Mining Suite Targeting Workflow is an extension of Paradigm™
GOCAD, the world's most sophisticated geological modelling platform,adapted specifically for the mining industry and available exclusively from
Mira Geoscience.

© 2004 Xstrata Copper. All rights reserved

The workflow is designed to guideusers through the mineral exploration
targeting expert thought processThis is a step-by-step approach:2.

Choose a modelling approach as knowledge
or data-driven
Identify a series of exploration criteria, represented as evidential properties on a 2D or 3Dgrid object, that characterizes prospective
ground for a specific ore deposit model3.

Choose a prediction model space as a subsetof the exploration volume

4.

Reclassify exploration criteria into binary or
multi-class properties depending on thechosen modelling approach

5.

Quantitatively combine exploration criteria
into high potential areas for mineralization in
the form of binary classes (Boolean Logic),mineral potential indices (Index Overlays) or
posterior probabilities (Weights-of-Evidence)

6.

Analyze outputs, identify and rank drillholetargets* GOCAD® is a registered trademark of Paradigm™

1.

Key Features

Modelling approaches» Boolean Logic» Index Overlay» Multi-Class Index Overlay» Weights-of-Evidence

Model definitions» 2D and 3D rectilinear grids» 2D and 3D stratigraphic grids» Automated generation of prediction model
volumes based on the spatial distribution ofevidential properties

Evidential properties» Support for scalar properties» Support for binary, multi-class (discrete) andcontinuous properties

Reclassification methods» Cut-offs and ranges» Manual, percentiles and quantiles» Contrast curves (cumulative and noncumulative cut-off intervals)» Automated Jenk’s Natural Breaks

Targeting» Allows for refinement of prediction models byintersecting with other sub-regions(e.g. untested ground)» Reports on prediction model statistics» Creates high potential regions (groups of cells)
based on prediction model cut-off values» Isolates and ranks clusters of high potential cells» Spreadsheet-like display of clusters and individual
cells dynamically linked with the 3D visualization» Creates a cluster centroid and drillhole target list
as visual objects

Workflow benefits» Increased productivity» Ease of use» Repeatability» Knowledge transfer» Audit trail via automatic
workflow study report generation

Pre-combination of evidential properties» Available for Boolean Logic, Index Overlay andWeights-of-Evidence models» Based on Boolean operators

Weights and scores» Defined manually from expert knowledge forIndex Overlay methods» Automatically computed for Weights-ofEvidence models© 2004 Xstrata Copper. All rights reservedPrediction model generation» Allows for generation of several prediction
models within a given workflow study» Based on a user-defined list of evidential
properties...Montreal Vancouver Brisbane Perthwww.MiraGeoscience.com@MiraGeoscience

info@mirageoscience.com