Lerchs-Grossmann Weight

Calculate economic node weights for process/waste blocks; prepares weights but does not execute Lerchs–Grossmann closure or precedence slopes.

Description

An economic block weight is a contribution to a pit-value model.

An economic block weight is a contribution to a pit-value model. Processed blocks earn recovered payable metal revenue and incur processing costs; waste blocks still incur mining cost.1

The tool returns blockEconomicWeights, sumEconomicWeight. The computation uses supplied observations and parameters rather than acquiring measurements.

When to use Lerchs-Grossmann Weight

Use this for the following task: Calculate economic node weights for process/waste blocks; prepares weights but does not execute Lerchs–Grossmann closure or precedence slopes. Prepare observations and calibration parameters on the same unit and reporting basis.

How to use Lerchs-Grossmann Weight and understand its results

  1. Prepare the measured quantities and supplied model parameters. Match the units and align paired lists before calculating.
  2. Enter blockTonnes, blockGradeFractions, processingFlags, metalPricePerTonne, recoveryFraction, payableFraction, miningCostPerTonne, processingCostPerTonne according to the field table, then run the tool.
  3. Read blockEconomicWeights, sumEconomicWeight. Use the calculation below to interpret the selected mean or the model’s signs, units and comparison flags.
  4. Review the supplied assumptions and calibration before comparing or reporting the result.
Input fieldMeaningValue type and boundsRequirement
blockTonnesBlock tonneslist of numberRequired
blockGradeFractionsBlock grade fractionslist of numberRequired
processingFlagsProcessing flagslist of numberRequired
metalPricePerTonneMetal price per tonnenumberRequired
recoveryFractionRecovery fractionnumberRequired
payableFractionPayable fractionnumberRequired
miningCostPerTonneMining cost per tonnenumberRequired
processingCostPerTonneProcessing cost per tonnenumberRequired

Use aligned nonnegative block tonnages, grade fractions and binary processing flags. Price is positive; recovery and payable fractions lie in [0,1], and costs are nonnegative.

weight[i] = tonnes[i]×(processFlag[i]×(grade[i]×price×recovery×payable−processingCost)−miningCost)

The symbols and boundary conditions refer to the supplied fields and the implementation described above.

Output fieldMeaningValue type
blockEconomicWeightsBlock economic weightslist of number
sumEconomicWeightSum economic weightnumber
json
{
  "input": {
    "blockTonnes": [
      100,
      50
    ],
    "blockGradeFractions": [
      0.01,
      0
    ],
    "processingFlags": [
      1,
      0
    ],
    "metalPricePerTonne": 5000,
    "recoveryFraction": 0.8,
    "payableFraction": 0.9,
    "miningCostPerTonne": 5,
    "processingCostPerTonne": 10
  },
  "output": {
    "blockEconomicWeights": [
      2100,
      -250
    ],
    "sumEconomicWeight": 1850
  }
}

Limitations and assumptions

This prepares economic weights but does not run the Lerchs–Grossmann maximum-closure algorithm, impose slope precedence or discount a mining schedule. All money values must share a currency and basis.

Numerical inputs must be finite. Input-shape and calculation checks do not establish measurement quality or the validity of a supplied calibration.

Alternative or Complementary methods

Choose Floating Cone Value when you need its operation: Evaluate incremental value of a predefined floating cone excluding mined blocks; does not construct cone geometry or optimize pits. Choose Cut-Off Grade for the complementary operation: Derive a mass-fraction cut-off grade from caller cost, realized metal price and recovery; excludes capacity constraints, taxes and multi-metal credits.

Background reference: Surface Mining Technology: stripping ratios and pit layouts.

References

  1. Surface Mining Technology: stripping ratios and pit layouts — NPTEL, Indian Institute of Technology Kharagpur

Similar or alternative tools

  • Floating Cone Value

    Evaluate incremental value of a predefined floating cone excluding mined blocks; does not construct cone geometry or optimize pits.

  • Cut-Off Grade

    Derive a mass-fraction cut-off grade from caller cost, realized metal price and recovery; excludes capacity constraints, taxes and multi-metal credits.

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