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|Type:||Artigo de evento|
|Title:||Collocated Co-kriging Application As An Aid Of Longterm Planning Of The Iron Mines Of Carajás|
|Abstract:||The specification of some variable has become essential for the prediction of the quality of the products in the long-term planning. However, there is not enough information for appropriate geostatistical modeling for many of those variables. A solution was the use of co-estimates techniques for variables with little information. Collocated Co-Kriging, as formulated, explores the cross spatial correlation usually existing two or more variables. The data configuration is heterotopic as the product was considered waste in the past. This methodology was applied to the iron mines of Carajás aiming at the quantification of the recovery of the so-called Pellet recovery through another variable, Over Flow recovery, improving the prediction of the quality of the products for the long-term mine planning. The first step in this methodology is to make Statistical Analysis of recovery, objective is to find out the best correlation with variable. The next step is to estimate the Over Flow from Ordinary Kriging, this estimation is the secondary variable. From this information, the Collocated Co-Kriging is calculated. The major variable is the Pellet's recovery and secondary variable is the kriging Over Flow recovery. © 2005 Taylor & Francis Group.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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