TY - GEN
T1 - Using large support data to improve grade prediction in underground mining
AU - Bassani, Marcel Antonio Arcari
AU - Machadob, Péricles Lopes
AU - Costa, João Felipe Coimbra Leite
AU - Rubio, Ricardo Hundeishaussen
PY - 2015
Y1 - 2015
N2 - In underground mining, grade data are informed at different support volumes. Drillhole data are defined at a quasi-point support while production data represent tons of ore mined during a period of time (stopes). From a geostatistical point of view, both data should be used to build a geostatistical model. However, the support difference must be considered. In this study, the block kriging approach is proposed to combine these two types of data. A synthetic underground mining case is presented. Two estimation scenarios were evaluated. The first considers only drillhole data while the second considers both drillhole and production data. Results showed that the use of production data improved grade estimation.
AB - In underground mining, grade data are informed at different support volumes. Drillhole data are defined at a quasi-point support while production data represent tons of ore mined during a period of time (stopes). From a geostatistical point of view, both data should be used to build a geostatistical model. However, the support difference must be considered. In this study, the block kriging approach is proposed to combine these two types of data. A synthetic underground mining case is presented. Two estimation scenarios were evaluated. The first considers only drillhole data while the second considers both drillhole and production data. Results showed that the use of production data improved grade estimation.
UR - http://www.scopus.com/inward/record.url?scp=84954223437&partnerID=8YFLogxK
M3 - Ponencia publicada en las memorias del evento con ISBN
AN - SCOPUS:84954223437
T3 - Application of Computers and Operations Research in the Mineral Industry - Proceedings of the 37th International Symposium, APCOM 2015
SP - 85
EP - 91
BT - Application of Computers and Operations Research in the Mineral Industry - Proceedings of the 37th International Symposium, APCOM 2015
A2 - Bandopadhyay, Sukumar
A2 - Chatterjee, Snehamoy
A2 - Ghosh, Tathagata
A2 - Raj, Kumar Vaibhav
PB - Society for Mining, Metallurgy and Exploration (SME)
T2 - 37th International Symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2015
Y2 - 23 May 2015 through 27 May 2015
ER -