Multiple-point statistical simulation of the ore boundaries for a lateritic bauxite deposit View Full Text


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Article Info

DATE

2019-02-21

AUTHORS

Y. Dagasan, O. Erten, P. Renard, J. Straubhaar, E. Topal

ABSTRACT

Resource estimation of mineral deposits requires spatial modelling of orebody boundaries based on a set of exploration borehole data. Given lateritic bauxite deposits, the spacing between the boreholes is often determined based on the grade continuity. As a result, the selected drill spacing might not capture the underlying (true) lateral variability apparent in the orebody boundaries. The purpose of this study is to investigate and address the limitations imposed by such problems in lateritic metal deposits through multiple-point statistics (MPS) framework. Rather than relying on a semivariogram model, we obtain the required structural information from the footwall topographies exposed after previous mining operations. The investigation utilising the MPS was carried out using the Direct Sampling (DS) MPS algorithm. Two historical mine areas along with their mined-out surfaces and ground penetrating radar surveys were incorporated as a bivariate training image to perform the MPS simulations. In addition, geostatistical simulations using the Turning Bands method were also performed to make the comparison against the MPS results. The performances were assessed using several statistical indicators including higher-order spatial cumulants. The results have shown that the DS can satisfactorily simulate the orebody boundaries by using prior information from the previously mined-out areas. More... »

PAGES

1-14

References to SciGraph publications

  • 2013-11. Modeling Combined Geological and Grade Uncertainty: Application of Multiple-Point Simulation at the Apensu Gold Deposit, Ghana in MATHEMATICAL GEOSCIENCES
  • 2009-08. Two-dimensional Conditional Simulations Based on the Wavelet Decomposition of Training Images in MATHEMATICAL GEOSCIENCES
  • 2006-01. Filter-Based Classification of Training Image Patterns for Spatial Simulation in MATHEMATICAL GEOSCIENCES
  • 2011-04. An Improved Parallel Multiple-point Algorithm Using a List Approach in MATHEMATICAL GEOSCIENCES
  • 2018. Simulation of Orebody Geology with Multiple-Point Geostatistics—Application at Yandi Channel Iron Ore Deposit, WA, and Implications for Resource Uncertainty in ADVANCES IN APPLIED STRATEGIC MINE PLANNING
  • 2017-09. Integration of multiple soft data sets in MPS thru multinomial logistic regression: a case study of gas hydrates in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2015-03. Multiple-point geostatistical simulation using enriched pattern databases in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2019-01. Pilot Point Optimization of Mining Boundaries for Lateritic Metal Deposits: Finding the Trade-off Between Dilution and Ore Loss in NATURAL RESOURCES RESEARCH
  • 2012-06. Multiple-point geostatistical modeling based on the cross-correlation functions in COMPUTATIONAL GEOSCIENCES
  • 2010-07. Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling in MATHEMATICAL GEOSCIENCES
  • 2002-01. Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics in MATHEMATICAL GEOSCIENCES
  • 2015-03. Reconstruction of porous media using multiple-point statistics with data conditioning in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2008-10. Optimization tools and simulation methods for designing and evaluating a mining operation in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2011-05. Validation Techniques for Geological Patterns Simulations Based on Variogram and Multiple-Point Statistics in MATHEMATICAL GEOSCIENCES
  • 2005. Beyond Covariance: The Advent of Multiple-Point Geostatistics in GEOSTATISTICS BANFF 2004
  • 2013-09. Spatial Prediction of Lateral Variability of a Laterite-Type Bauxite Horizon Using Ancillary Ground-Penetrating Radar Data in NATURAL RESOURCES RESEARCH
  • 2010-01. High-order Statistics of Spatial Random Fields: Exploring Spatial Cumulants for Modeling Complex Non-Gaussian and Non-linear Phenomena in MATHEMATICAL GEOSCIENCES
  • 2012. Multiple-Point Geostatistics for Modeling Lithological Domains at a Brazilian Iron Ore Deposit Using the Single Normal Equations Simulation Algorithm in GEOSTATISTICS OSLO 2012
  • 2007-02. Conditional Simulation with Patterns in MATHEMATICAL GEOSCIENCES
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