An algorithm for quantifying regionalized ore grades


Tutmez B. , Tercan A. E. , Kaymak U.

JOURNAL OF THE SOUTH AFRICAN INSTITUTE OF MINING AND METALLURGY, cilt.108, ss.83-90, 2008 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 108 Konu: 2
  • Basım Tarihi: 2008
  • Dergi Adı: JOURNAL OF THE SOUTH AFRICAN INSTITUTE OF MINING AND METALLURGY
  • Sayfa Sayıları: ss.83-90

Özet

We present a novel, hybrid algorithm for quantifying the ore grade variability that has central importance in ore reserve estimation. The proposed algorithm has three stages: (1) fuzzy clustering, (2) similarity measure, and (3) grade estimation. The method first considers data clustering, and then uses the clustering information for quantifying the ore grades by means of a cumulative point semimadogram function. The method provides a measure of similarity and gives an indication of the regional heterogeneity. In addition, grade estimations can be obtained at different levels of similarity using a weighting function, which is the standard regional dependence function (SRDF).