About the Pit Optimization Study

A pit optimization model is a set of computerized data that mimics a real world pit and its surroundings conditions. Running an optimization involves predicting or analyzing the best shape for the pit scenario.

The Pit Optimization app contains only the tools appropriate for the current context and for the type of optimization that you are creating.

A pit optimization contains the following predefined categories that help you classify the objects stored in the pit optimization:

Pit Optimization

The Pit Optimization top-level container in the tree hosts the data categories of the pit optimization study.

Model

The Model category stores the context in which this particular pit optimization is run. For example, the Model category stores the site, the block model, and the terrain objects.

Scenario

The Scenario category stores the objects that provide the instructions for performing the optimization study. For example, the Scenario category stores data objects and the definition of the operational and economical assumptions required for estimating the reserve of the block model . The specifications are defined in a mining-oriented scenario.

Result

The Result category stores the results of the optimization study. For example, the Result category stores results data, pit analytics reports including a summary and detailed reports. These detailed reports can be a period report, a phase report, a period and phase report, and a bench report.

Scenarios must be stored with the block model. So that the source resource block model is not contaminated by the working attributes of the optimization study, you can create a dedicated block model, called the optimization block model. When the optimization block model is created, it contains all the attributes of the source block model. Result attributes are added when running the optimization scenarios.

See Preparing an Optimization Block Model.