Validation of Au grade estimation models in a sector of the Golden Hill deposit

Authors

Keywords:

model validation, estimation models, Au grade, Geostatistical simulation, tonnage-grade curves, Golden Hill goldfield.

Abstract

Validation of grade estimation models in the mineral resource estimation process guarantees the quality and reliability of results and the correct definition of mineral reserves in the most objective mining planning possible. This research presents the results of the validation of Au grade estimation models in Three Hills sector of the Golden Hill gold deposit (Las Tunas province), used as a case study. We worked with the information obtained in the detailed exploration and exploitation exploration campaigns, as well as with the estimation models of the Au grade; these models were compared with the standard curves of grade, tonnage and metal quantity, obtained by Geostatistical simulation for 10 simulated equiprobable Au grade scenarios. A procedure is proposed that allows validating the Au grade estimation models in similar deposits, based on the loss or excess of the amount of metal between the tonnage-grade curves, those obtained in the estimation models in two moments (stages 1 and 2) of exploitation exploration and the average predictive standard curves of simulated grade, tonnage and amount of metal. It is shown that stage 1 model should not be considered for defining gold resources, since it undervalues the estimates, although the stage 2 model is close to the simulated pattern-curves, it must also be reworked.

Downloads

Download data is not yet available.

References

Abzalov, M. 2016: Applied Mining Geology. Vol. 12. Springer Nature.

Arias del Toro, J. A. 2008: Influencia de la red de exploracion en la determinacion del potencial recuperable de menas lateriticas niqueliferas en un sector del yacimiento Pinares Oeste. Tesis de Maestría. Universidad de Pinar del Rio Hermanos Saiz Montes De Oca.

Arisaca, J. E. 2012: Metodologías de validación para modelos de recursos. MineSight Applications Perú S.A.C.

Deutsch, C. V. y Journel, A. G. 1998: Geostatistical Software Library and User's Guide. Second Edition. Oxford University Press.

Freites, J. G. 2016: Herramientas para validar el modelo de bloques interpolado. Consulta: 18/05/2019. Disponible en: http://www.cursosgeomin.com.ve/herramientas-validar-modelo-bloques-i.

Journel, A. G. y Huijbregts, C. J. 1978: Mining Geostatistics. Centre de Geostatistique Fontainebleau, France: Academic Press.

Lopes, J. A.; Fernandes, J. B. y Vanzela, G. A. 2011: Risk Quantification In Grade-Tonnage Curves And Resource Categorization. In A Lateritic Nickel Deposit Using Geologically Constrained Joint Conditional Simulation. Journal of Mining Science, 47.

López-Kramer, J. M.; Pimente-Olivera, H.; Arce-Blanco, M.; Pérez-Aragón, R. O.; Santa Cruz-Pacheco Sarlabous, M.; Peñalver-Hernández, L. L. y Gallardo-Eupierre, E. 2021: Los Gossans con Oro y Plata del Archipiélago Cubano. La Habana: Instituto de Geología y Paleontología.

Pincock, A. H. 2010: How Good Are Your Resource (Block) Model Estimates? Pincock Perspectives Issue 102.

Remy, N.; Boucher, L. y Wu, I. 2009: Applied geostatistics with sgems a user’s guide. New York: Cambridge university press.

Rossi, M. E. y Deutsch, C. V. 2014: Mineral Resource Estimation. New York-London: Springer Dordrecht Heidelberg.

Sama, A. R. 2016: Validation of resource model and improving confidence. Consulta: 18/05/2019. Disponible en: https://www.linkedin.com/pulse/validation-resource-model-improving.

Vila-Placeres, G.; Guilarte-Lores, E.; Sánchez-Silva, Y.; Carmenates-Nieves, H.; Martínez-Mejías, M.; Espinosa-Labrada, R. y García-Quintana, D. 2018: Informe de Exploración de Explotación UEB Oro Golden

Published

2022-10-05

How to Cite

Arias-del Toro, J. A., Carballo-Peña, A., & Estévez-Cruz, E. (2022). Validation of Au grade estimation models in a sector of the Golden Hill deposit. Minería & Geología, 38(2), 99–115. Retrieved from https://revista.ismm.edu.cu/index.php/revistamg/article/view/2181

Issue

Section

Geología

Most read articles by the same author(s)

<< < 1 2 3 > >>