Micromine Open Pit Optimization : A practical Example

Prepare a block model for pit optimization in Micromine by assigning classifications, setting display fields, and reviewing statistics and a block model report to validate inputs.

Explore open-pit optimization in Micromine by configuring the pit optimizer and importing a block model. Learn to set topography, density, and material bins to drive cost-aware pit design.

Learn how the open pit optimizer designs shells with slope restrictions defined by coordinates, wireframes, or a block model, sets regional costs, exclusions, and staging for multiple shells.

Explore how Micromine's pit optimizer generates reports from templates, stores scenarios in a pit optimization database, and exports staging points, shells, and block model attributes for open pit design.

Set up processing costs for an open pit, including $12 per ton and $1.5 per ton G&A, with high-grade 90% recovery and low-grade 89%, plus optional $40 per ounce costs.

Set up selling parameters by customer for gold, assign price 1200 per ounce and selling costs 85 per ounce, then run optimizer to generate shells and an ultimate pit design.

Color-code pitch shells, switch between 2d and 3d views, and use the pit optimizer to compare cash flows across best, worst, and constant-lag scenarios.

Analyze cash flows and scenarios in micro mine by configuring pit optimization inputs, running six reports, and comparing best, worst, and constant-lag cases to select the optimal pit shell.