Incorporating fine-scale ground-penetrating radar data into the mapping of lateral variability of a laterite-type bauxite horizon

O. Erten, L. McAndrew, M. S. Kizil, E. Topal

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Ground-penetrating radar (GPR) offers an inexpensive and rapid method for delineating the laterite profiles by acquiring fine-scale data from the ground. In a case study, a GPR survey was conducted at the Weipa bauxite mine in Australia, in which numerous pick points corresponding to the depth to the bauxite/ironstone boundary were acquired from the ground. These pick points were subsequently merged with the available exploration borehole data using four prediction algorithms, including standard linear regression (SLR), simple kriging with varying local means (SKLM), Bayesian integration (BAY), and ordinary co-located cokriging (OCCK). The required structural inputs for the aforementioned algorithms were derived from the modelled auto and cross-semi-variograms. The cross-validation results suggest that the SKLM approach yielded the most robust estimates. The comparison of these estimates with the actual mine floor also indicates that the inclusion of ancillary GPR data substantially improved the estimation quality.

Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalTransactions of the Institutions of Mining and Metallurgy, Section A: Mining Technology
Volume124
Issue number1
DOIs
Publication statusPublished - Mar 1 2015

Keywords

  • Bauxite
  • Geostatistics
  • Ground-penetrating radar
  • Ironstone
  • Laterite
  • Weipa

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology

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