Geostatistical Modeling of Ore Grade In A Laterite Nickel Deposit

Waterman Sulistyana Bargawa, Simon Pulung Nugroho, Raden Hariyanto

Abstract


Reserve modeling is one of the essential aspects of exploration activity. Reserve modeling of ore commodities has classic challenges such as grade distribution and quantity of the ore reserve. This study introduced a novel reserve modeling protocol incorporated kriging methods for nickel laterite deposits. The study parameters consist of geological modeling and statistical analytic using the ordinary kriging method and nearest neighbor polygon. This study shows that the ordinary kriging method has a conservative estimation compared to the nearest neighbor polygon. Besides, the rectangular drilling pattern is the most suitable drilling pattern for the exploration activity of this study. 


Keywords


reserve modeling, nickel laterite, geostatistics, kriging

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References


Krzemień, A. Fernández, P. R., Sánchez, A. S., and Álvarez, I. D., 2016. Beyond the pan-European standard for reporting of exploration results, mineral resources and reserves, Resources Policy September Volume 49 Pages 81-9.

Porwal, I. Álvarez, G., Markwitz, V., Craig, T. C. M., and Mamuse, A., 2010. Weights-of-evidence and logistic regression modeling of magmatic nickel sulfide prospectivity in the Yilgarn Craton, Western Australia Ore Geology Reviews Volume 38, Issue 3Pages 184-196 A.

Putzolu, I., Abad, G., Balassone, M., Boni, L., and Santoro, 2020. Parent rock and climatic evolution control on the genesis of Ni-bearing clays in Ni-Co laterites: New inferences from the Wingellina deposit (Western Australia) Ore Geology Reviews Volume 120 Article 103431 F.

Scarciglia, F., Critelli, S., Borrelli, L, Coniglio, S., and Perri, F., 2016. Weathering profiles in granitoid rocks of the Sila Massif uplands, Calabria, southern Italy: New insights into their formation processes and rates, Sedimentary Geology Volume 336 Pages 46-67.

Ding, Y., Cui, W., Zhang, S., Hui, H., and Song, Y., 2019. Multi-state operating reserve model of aggregate thermostatically-controlled-loads for power system short-term reliability evaluation, Applied Energy Volume 241Pages 46-58.

Hadji, R., Boumazbeur, A., Limani, Y., Baghem, M., and Demdoum, A., 2013. Geologic, topographic and climatic controls in landslide hazard assessment using GIS modeling: A case study of Souk Ahras region, NE Algeria Quaternary International Volume 302 Pages 224-237.

Bargawa, W. S., 2016. Mineral Resource Estimation Using Weighted Jackknife Kriging. Conference proceedings, in AIP Conf. Proc. 1755, 2016, pp. 120001-1-120001-6.

Zulkarnain, I., and Bargawa, W. S., 2018. Classification of Coal Resources Using Drill Hole Spacing Analysis (DHSA). Journal of Geological Resource and Engineering 6, pp. 151-159.

Bargawa, W. S., and Tobing, R. F., 2020. Iron ore resource modeling and estimation using geostatistics, AIP Conference Proceedings 2245, 070016

Yuan, S., Zhou, W. T., Li, Y. J., and Han, Y. X., 2020. Efficient enrichment of nickel and iron in laterite nickel ore by deep reduction and magnetic separation, Transactions of Nonferrous Metals Society of China Volume 30, Issue 3, Pages 812-822.

Ramesh, S. V., Teegavarapu, V., and Chandramouli, 2005. Improved weighting methods, deterministic and stochastic data-driven models for estimation of missing precipitation records Journal of Hydrology Volume 312, Issues 1–4Pages 191-206.

Ilyas, A., Kashiwaya, K., and Koike, K., 2016. Ni grade distribution in laterite characterized by geostatistics, topography, and the paleo-groundwater system in Sorowako, Indonesia Journal of Geochemical Exploration Volume 165 Pages 174-188.

Jiang, J., and Zhu, Y., 2017. Geology and geochemistry of the Jianchaling hydrothermal nickel deposit: T–pH–fO2–fS2 conditions and nickel precipitation mechanism Ore Geology Reviews Volume 91 Pages 216-235.

Guo, X., and Dias, D., 2020. Kriging based reliability and sensitivity analysis – Application to the stability of an earth dam Computers and Geotechnics Volume 120 Article 103411.

Coombes, J., 2008. The Art and Science of Resource Estimation. Coombes Capability, Perth.




DOI: https://doi.org/10.31098/ess.v1i1.123

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Copyright (c) 2020 Waterman Sulistyana Bargawa, Simon Pulung Nugroho, Raden Hariyanto

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