The estimation of important parameters at Choghart mine stockpile is accomplished by sampling specific parameters that allow detection of useful parts of the Low Grade stockpile. Huge amount of low grade broken rocks near the open pit can causes some environmental problem. Therefore, determination of dump parameters became important in this mine. In this research the estimation of Fe and P was fulfilled in low grade stockpile of Choghart. The Estimation of these two parameters (Fe & P) can be used for mapping the error distributions and then prediction of specific areas for more sampling. This paper outlines a Geostatistics method to perform in order to have a data set consistent with the Geostatistical model to be used in the estimation of unknown values. This estimate consist of following steps: preparing database, separating statistical homogenous region, trend analysis, variography and estimation via ordinary Kriging method. Identifying the variogram modeling revealed a high nugget effect. To reduce the nugget effect, the stockpile is divided into three homogenous zones. Geostatistical estimation technique showed that the amount of reserve in this stockpile is equal to 1.4 million tons at 40% of Fe and 0.52% P. © 2009 All Rights Reserved by the International Multidisciplinary Scientific GeoConference SGEM.

The estimation of Fe and P in low grade stockpile of choghart iron mine of Iran

Kasmaee S.;
2009

Abstract

The estimation of important parameters at Choghart mine stockpile is accomplished by sampling specific parameters that allow detection of useful parts of the Low Grade stockpile. Huge amount of low grade broken rocks near the open pit can causes some environmental problem. Therefore, determination of dump parameters became important in this mine. In this research the estimation of Fe and P was fulfilled in low grade stockpile of Choghart. The Estimation of these two parameters (Fe & P) can be used for mapping the error distributions and then prediction of specific areas for more sampling. This paper outlines a Geostatistics method to perform in order to have a data set consistent with the Geostatistical model to be used in the estimation of unknown values. This estimate consist of following steps: preparing database, separating statistical homogenous region, trend analysis, variography and estimation via ordinary Kriging method. Identifying the variogram modeling revealed a high nugget effect. To reduce the nugget effect, the stockpile is divided into three homogenous zones. Geostatistical estimation technique showed that the amount of reserve in this stockpile is equal to 1.4 million tons at 40% of Fe and 0.52% P. © 2009 All Rights Reserved by the International Multidisciplinary Scientific GeoConference SGEM.
9th International Multidicsciplinary Scientific Geoconference and EXPO - Modern Management of Mine Producing, Geology and Environmental Protection, SGEM 2009
503
508
Kasmaee S.; Gholamnejad J.; Bafghi A.Y.
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/693792
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact