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One of the unavoidable steps for the next generation of Data Science and Artificial Intelligence technologies applied to mining
MiningMath empowers mining engineers to improve their strategic analysis through risk assessments, starting with importing and formatting their block model data. The essential requirements for using block model data effectively in MiningMath are:
Each block must include essential data such as coordinates, grade, and economic value (including processes and wastes). For detailed guidelines, refer to this documentation. For a comprehensive example in CSV format, download it here. Below is a concise illustration featuring a block model and two example blocks.
Certainly! MiningMath’s internal calculator allows users to manipulate their projects inside MiningMath, enabling field adjustments and creation. For example, different economic values can be defined for individual periods or to analyze how each constraint, such as the ore price, affects that year’s production and benefits or not the global project. Moreover, the use of derived fields combined with Decision Trees enables a broader view of your project and a deeper understanding of the impacts of each variable. This comprehensive approach can provide valuable insights, facilitating more informed decision-making and optimizing project outcomes.
MiningMath’s 3D Viewer enhances your workflow by providing comprehensive visualization of your block model from various angles. This tool allows for the filtering of any imported field, offering a quick and efficient overview of your data.
MiningMath’s 3D Viewer
Windows 64-Bit (x86_64) - 121 MB
Windows 64-Bit (x86_64) - 121 MB
With constant developments since 2013, MiningMath has reached a mature and robust state. We are the first and only single-step mining optimization engine available in the market!
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