Published January 15, 2019 | Version v1
Journal article

Pilot Point Optimization of Mining Boundaries for Lateritic Metal Deposits: Finding the Trade-off Between Dilution and Ore Loss

  • 1. Western Australian School of Mines Curtin University, Department of Mining and Metallurgical Engineering (Australia)
  • 2. University of Neuchâtel, Centre for Hydrogeology and Geothermics (Switzerland)

Description

Geological contacts in lateritic metal deposits (footwall topographies) often delineate the orebody boundaries. Spatial variations seen in such contacts are frequently higher than those for the metal grades of the deposit. Therefore, borehole spacing chosen based on the grade variations cannot adequately capture the geological contact variability. Consequently, models created using such boreholes cause high volumetric uncertainties in the actual and targeted ore extraction volumes, which, in turn, lead to high unplanned dilution and ore losses. In this paper, a method to design optimum ore/mining boundaries for lateritic metal deposits is presented. The proposed approach minimizes the dilution/ore losses and comprises two main steps. First, the uncertainty on the orebody boundary is represented using a set of stochastic realizations generated with a multiple-point statistics algorithm. Then, the optimal orebody boundary is determined using an optimization technique inspired by a model calibration method called Pilot Points. The pilot points represent synthetic elevation values, and they are used to construct smooth mining boundaries using the multilevel B-spline technique. The performance of a generated surface is evaluated using the expected sum of losses in each of the stochastic realizations. The simulated annealing algorithm is used to iteratively determine the pilot point values which minimize the expected losses. The results show a significant reduction in the dilution volume as compared to those obtained from the actual mining operation.

Additional details

Identifiers

Publishing Information

Journal Title
Natural Resources Research (New York, N.Y.)
Journal Volume
28
Journal Issue
1
Journal Page Range
p. 153-171
ISSN
1520-7439

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51107568
Subject category
S58: GEOSCIENCES;
Descriptors DEI
ALGORITHMS; ANNEALING; BAUXITE; BOREHOLES; COMPARATIVE EVALUATIONS; DEPOSITS; EXTRACTION; ITERATIVE METHODS; OPTIMIZATION; SIMULATION; STOCHASTIC PROCESSES; SURFACES; TOPOGRAPHY
Descriptors DEC
ALUMINIUM ORES; CALCULATION METHODS; CAVITIES; EVALUATION; HEAT TREATMENTS; MATHEMATICAL LOGIC; ORES; SEPARATION PROCESSES

Optional Information

Copyright
Copyright (c) 2019 International Association for Mathematical Geosciences