
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.
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.
Open pit optimization is a process that is used to determine the most efficient way to mine a deposit. The goal of optimization is to maximize the amount of ore that can be extracted from the deposit while minimizing the cost of mining. The process of optimization involves creating a mathematical model of the deposit and then using algorithms to find the best way to mine it.
Some companies skip the optimization part and jump directly from block modeling to open-pit design, assuming that digitizing contours around the high grades will allow them to maximize the NPV. This course will teach you why that practice is wrong and what is the best way to get raw shells that you can use for a detailed design later.
This course is designed for mining engineers , geologists, or geoscientists in general who wish to learn about how to optimize open-pit mines using Micromine, even though Micromine is used in this course but the same process can be applied with any Mining Package.
By the end of this course students will be familiar with the open pit optimization process and to generate the ultimate pit shell and analyze multiple shells using Micromine's pit analyzer.