Targeting Strategy

Clancy deploys a model driven, probabilistic targeting methodology to define targets that are ranked by probability of success. The methodology uses a mineral systems approach to target definition, whereby the mineral system being targeted is divided into its essential components, and each of those components is attributed with robust estimates of probability.

The methodology has significant advantages over other targeting methods because:
• risk and uncertainty are incorporated into the targeting procedure;
• the component layers demand rigorous geological assessment of the mineral system and critical evaluation of the input datasets, improving the integrity and fidelity of the targeting;
• the scoring process is multiplicative, in contrast to additive methods, thus reducing the number of false positives;
• it provides an effective method of ranking targets and allows for comparisons of targets across project areas and/or geological provinces;
• it is scalable and can be deployed from tenement scale to province scale;
• it delivers a portfolio of targets referred to as the Target Bank.

The targets are ranked in classes and only targets in the highest ranked class (A-Class) are explored. As exploration progresses, the target models are updated to incorporate new data from field work (e.g. drilling) and target ranks are adjusted accordingly. Targets that are downgraded are shelved and the focus shifts to the next target in the Target Bank.

The logical outcome of this process is an operational focus on only the highest ranked targets. Provided that an adequate number of targets are tested annually, then the odds of making a discovery should be drastically improved.

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