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Block Model Conformation Method: Subregions Redistribution of Batches (SRB)
Block Model Conformation Method: Subregions Redistribution of Batches (SRB)

Description of the operational mechanism and appropriate use cases for the Subregion Redistribution of Batches (SRB) conformation approach.

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Written by René
Updated over a week ago

What is the SRB Conformation Method?


The SRB Conformation Method, or Subregion Redistribution of Batches, is a specialized block model conformation approach designed to improve the accuracy and control of material distribution within distinct subregions of a stockpile model, which comes as an enhancement of the RRB Conformation Method. This feature is integrated into our stockpile modeling tool to address issues related to the unwanted movement of materials between subregions, ensuring that materials stay within their designated areas. Users have the flexibility to select the SRB conformation method on a per-stockpile basis, allowing them to tailor the modeling process to specific requirements. By preventing inaccuracies in material distribution and enhancing subregion-specific inventory management, the SRB Conformation Method significantly enhances the precision and reliability of stockpile representations.

Key Steps to Understand the SRB Conformation Method

  1. Conceptualize Subregions: Begin by understanding the concept of subregions within the Stockpile and Inventory Optimization App. Subregions are distinct areas or zones configured within the stockpile block models, each with its own characteristics and density scale.

  2. Original RRB Conformation: Recognize that SRB is a specialized variant of the original RRB (Relative Redistribution of Batches) conformation method. RRB is a conformation method used for redistributing materials within stockpiles for more accurate modeling.

  3. Mass Inventory calculation: The SRB Conformation Method offers two configuration options for measuring mass inventory:

    • Using Geospatial Material Movements Data: This approach utilizes a separate density scale for each subregion, enabling precise control over material distribution, under the assumption that the geospatial material movements data is reliable.

    • Using scan volume and fixed material density: This option enables precise adjustments to stockpile mass inventory while preserving density integrity. It addresses challenges related to geospatial data quality issues by utilizing scan survey volumes and fixed-realistic material densities for calculations. With this approach, sites can mitigate inaccuracies in geospatial data and ensure more accurate inventory calculations.

  4. Prevention of Lateral Material Movement: The SRB Conformation Method ensures that material stays within its designated subregion and strictly restricts lateral material movement between subregions. This prevents the mixing of materials that belong to different subregions and maintains the integrity of subregion-specific material distributions.

  5. Fallback to Original RRB: Recognize that if SRB conformation is configured, and there are stockpiles that have no subregions defined, those stockpiles are conformed using the original RRB method. This ensures consistency and flexibility in the modeling process.

By following these key steps, you can gain a comprehensive understanding of the SRB Conformation Method and how it allows for precise control over material distribution within subregions while considering density limits and unassigned materials.

When to use the SRB Conformation Method?

  1. Material Quality Control and Precision: Choose SRB when you need strict separation between different material qualities and precise allocation within dedicated subregions. This method ensures accurate isolation of various material qualities, grades, or characteristics within their respective subregions.

  2. Preventing Material Mixing: Employ SRB when there is a risk of material mixing between subregions. It effectively restricts lateral material movement, ensuring materials remain in their designated areas.

  3. Existing RRB with Subregions: If your site already utilizes the RRB (Relative Redistribution of Batches) method with subregions defined, consider implementing SRB. SRB offers enhanced capabilities for precise material distribution within subregions, potentially improving modeling accuracy. Evaluate SRB's suitability for your specific stockpile modeling needs to optimize the process.
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Benefits of the SRB Conformation Method

  1. Enhanced Material Control and Isolation: SRB provides precise control over material allocation within subregions, ensuring that different material qualities, grades, or characteristics remain accurately separated. This level of control prevents unwanted mixing or contamination, preserving the integrity of material characteristics and distributions.

  2. Improved Modeling Precision: By maintaining strict separation and control over material distributions, SRB contributes to higher modeling precision. This precision results in more accurate stockpile representations.

  3. Optimization of Existing RRB Implementations: If you're already using the RRB (Relative Redistribution of Batches) method with subregions defined, implementing SRB can optimize your stockpile modeling process, potentially leading to more precise and controlled results.

How to Implement the SRB Conformation Method

Before utilizing the SRB Conformation Method, it's essential to confirm that subregions have been appropriately configured within the application. This can be done by accessing the site configuration page. Aditionally, please reach out IntelliSense.io support team to configure the SRB Conformation Method (whether using geoespatial material movements data or rescaling the mass to calculate the stockpile mass inventories) or selecting the best alternative option that suits your operational needs.

Other Model Conformation Methods

In addition to the SRB Conformation Method, the Stockpile and Inventory Application offers various other conformation methods such as the Relative Redistribution of Batches (RRB) previoulsy mentioned, Local Density Adjustment (LDA) and the Hybrid GPS-Scan Driven Conformation approach. These conformation methods are designed to cater to different site requirements and scenarios, allowing you to choose the most suitable approach.
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  • Note: Each conformation method can be configured to align with your stockpile modeling needs. Whether you prioritize topography precise alignment, material mix preservation, data quality or other factors, our application allows you to tailor the conformation method accordingly.

Conclusion

The SRB Conformation Method empowers precise control over stockpile modeling at a subregion level, ensuring meticulous material quality separation, modeling accuracy, and informed decision-making. It's a valuable tool to consider, and our application provides various conformation methods, including SRB, tailored to your specific needs. Explore these options to enhance your stockpile modeling capabilities with subregion-level precision.

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