Bottleneck Analysis

Bottleneck Analysis is the process of creating scenarios to conduct extensive searches for solutions with fewer violations while preserving the NPV and geometries. Seeking solutions with fewer violations is important for optimizing mining operations and reducing risks. This allows for the discovery of more efficient and sustainable solutions that meet specific constraints and needs of the mine.

In Bottleneck Analysis, after analyzing a desirable scenario it is possible to identify the constraint/s with demanding requirements that directly impact the optimization results and cause significant violation issues. Then, scenarios should be created by relaxing these demanding parameters, enabling users to make decisions to mitigate risks and ensure project viability.

Example

Dataset: Preinstalled Marvin deposit. It can also be downloaded here.

Consider the base scenario overview and the respective decision tree built for a Bottleneck Analysis depicted below.

The graphs below depict a comparative analysis of the results for the scenarios in the decision tree.

This analysis shows that the minimum average constraint of CU, production dump and vertical rate of advance are all restricting the base scenario. When relaxing these parameters, there is an increase of approximately 5% in the cumulative NPV, while the productions are still kept within their limits.

MiningMath

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Example

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