An algorithm for quantifying regionalized ore grades

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Atıf İçin Kopyala

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

JOURNAL OF THE SOUTH AFRICAN INSTITUTE OF MINING AND METALLURGY, cilt.108, sa.2, ss.83-90, 2008 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 108 Sayı: 2
• Basım Tarihi: 2008
• Dergi Adı: JOURNAL OF THE SOUTH AFRICAN INSTITUTE OF MINING AND METALLURGY
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
• Sayfa Sayıları: ss.83-90
• İnönü Üniversitesi Adresli: Evet

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).