K-MINE Module

Pit Optimizer

  • for mining engineers and experts in strategic planning.
  • for other professionals responsible for strategic planning of mining operations.
K-MINE Pit Optimizer: Streamline Your Strategic Mining Planning 1

Optimal Final Boundary in No Time

Identify the most profitable blocks from the total set of blocks and create as many envelopes as you need, based on the price adjustment factor and a host of other parameters. The module is based on the advanced Pseudo Flow algorithm, which is derived from the Lerchs-Grossmann concept.

With experience and the aid of built-in tools, a K-MINE user can determine the optimal final boundary in no time.

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Data Visualization at Any Stage

The K-MINE Pit Optimizer module enables data visualization at any stage of a pit optimization project, offering detailed insights into relevant aspects.

As part of the K-MINE environment, the Pit Optimizer module allows for the visualization of additional data using its standard functionality.

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Data Analysis Using Graph View

The Pit Optimizer module provides various options for analyzing data from a successful pit optimization project. The most illustrative method, available by default, is through an embedded graph. You can customize this graph’s view settings using standard table functionality.

Resultant surfaces, block sets, and detailed tabular data, exportable to word processors, form an integral part of this data analysis

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Wireframes + Tabular Information

Surfaces/wireframes are key deliverables of the K-MINE Pit Optimizer module.

By comparing them, you can assess the deposit’s development potential under various conditions.

Additionally, you gain access to comprehensive tabular information regarding rock quality and quantity, as well as the cost components of the pit optimization process.


In the Scheduling section of the K-MINE Pit Optimizer module, you can create a mining schedule and compare it with several versions automatically generated by the program using the available data. The desired version ideally fall between the best and worst scenarios, leaning towards the best scenario.

The scheduling results are presented in a manner similar to the optimal boundaries as surfaces/wireframes and detailed tabular data.

Formulas View

The K-MINE Pit Optimizer module handles input data in various ways, enabling consideration of numerous aspects and nuances of the production cycle at all stages. Many parameters can be represented as formulas, illustrating the relationships between them.

Several methods can set the resultant angles of the final pit boundary. These methods describe the deposit’s features in detail and allow for the creation of highly accurate constructions.

Sensitivity Analysis

Developed as part of the K-MINE software, the Pit Optimizer module is continually enhanced to add more value. Sensitivity analysis is a crucial aspect of strategic planning, and the Pit Optimizer effectively addresses this need.

By running multiple iterations of a final boundary project under various conditions, you can ascertain the impact of different parameters on the final pit size.

Discounted Cash Flow Analysis

Through the iteration method in the K-MINE Pit Optimizer module, you can identify the optimal parameter values that yield the most beneficial outcome for your company. Discounted cash flow analysis is applicable to both pit optimization and scheduling.

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Start Your Project With K-MINE

    Frequently Asked Questions

    What kind of licenses does K-MINE provide and how much do they cost?

    K-MINE offers two types of licenses: monthly or annual subscriptions and perpetual licenses. Please contact the K-MINE team to learn about the pricing for each module.

    How can information be transferred from one module to another?

    K-MINE is a standalone application with a single database, so no data transfer is necessary. Different teams can access data according to their user rights.

    Is K-MINE cloud-based software?

    No, K-MINE is a desktop application. However, upon request, our team can install it on a Windows server and set up a cloud infrastructure.