Using multivariate statistical analyzes in geochemical data: Example of lead-zinc deposit


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Özer Atakoğlu Ö., Yalçın M. G.

The 6th Mediterranean International Conference of Pure & Applied Mathematics and Related Areas (MICOPAM 2023), Paris, Fransa, 23 - 27 Ağustos 2023, ss.300-305

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Paris
  • Basıldığı Ülke: Fransa
  • Sayfa Sayıları: ss.300-305
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Geostatistical methods are frequently used in the geochemical evaluation of mineral deposits. Geostatistical methods are preferred by researchers for reasons such as less error rates than traditional methods and being based on precise results. The most commonly used geostatistical methods are as follows: means, measures of variability, classification, regression and correlation analysis, analysis of variance, correlation function (variogram), estimation error variance, kriging and simulation. The aim of this study is to emphasize the importance of geostatistical methods in the evaluation of geochemical analyzes during the exploration and operation of mineral deposits. It is within the scope of the study to highlight the details of the multivariate data analysis, which is mostly preferred for geochemical analyzes containing large numbers of data, with examples in the literature. The error rates of traditional geometric methods such as polygon, triangle and section used in the calculation of reserve and grade of mineral deposits are higher than the error rates of the values calculated using geostatistical methods. In this respect, it is suggested as a result of the study that researchers who will work on the evaluation of mineral deposits should first turn to geostatistical methods.