Ordinary cokriging of additive log-ratios for estimating grades in iron ore deposits
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/366667
Tipus de documentText en actes de congrés
Data publicació2011
EditorCIMNE
Condicions d'accésAccés obert
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Abstract
Risk assessment and economic evaluation of mining projects are mainly affected by the determination of
grades and tonnages. In the case of iron ore, multiple variables must be determined for ore characterization
which estimation must satisfy the original mass balances and stoichiometry among granulometric fractions
and chemical species.
Models of these deposits are generally built from estimates obtained using ordinary kriging or cokriging,
most time using solely the global grades and determining the ones present at different granulometric
partitions by regression. Alternative approaches include determining the totality of the chemical species and
distributing the closing error or leaving one variable aside and determining it by difference afterwards,
adding up the error of previous determinations. Furthermore, the estimates obtained are outside the interval
of the original variables or even exhibiting negative values. These inconsistencies are generally overridden
by post-processing the estimates to satisfy the closed sum condition and positiveness.
In this paper, cokriging of additive log-ratios (alr) is implemented to determine global grades of iron,
silica, alumina, phosphorous, manganese and loss by ignition and masses of three different granulometric
partitions, providing better results than the ones obtained through cokriging of the original variables, with all
the estimates within the original data values interval and satisfying the considered mass balances.
Key words: iron ore, additive log-ratios, cokriging, compositional data, geostatistics
CitacióBoezio, M.N.M.; Costa, J.F.C.L.; Koppe, J.C. Ordinary cokriging of additive log-ratios for estimating grades in iron ore deposits. A: CODAWORK 2011. "Proceedings of CoDaWork'11: 4th international workshop on Compositional Data Analysis, Egozcue, J.J., Tolosana-Delgado, R. and Ortego, M.I. (eds.) 2011". Barcelona: CIMNE, 2011, ISBN 978-84-87867-76-7.
ISBN978-84-87867-76-7
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