References
- Abzalov MZ. 2013. Measuring and modelling of dry bulk rock density for mineral resource estimation. Appl Earth Sci. 122:16–29.
- Arroyo CE. 2014. Caracterização geometalúrgica e modelagem geoestatística da Mina de Brucutu – Quadrilátero Ferrífero (MG). Tese de Doutorado. Universidade Federal de Ouro Preto.
- Arseneau GJ. 2014. Estimating bulk density for mineral resource reporting. Vancouver: SRK Consulting (Canada) Inc, p. 1–8.
- Benter A, Moore W, Antolovich M. 2013. Laboratory measurement of fragmented ore bulk density using ground penetrating radar. Min Technol. 122(4):250–255.
- CIM. 2019. Estimation of mineral resources and mineral reserves best practise guidelines. CIM Council. November 29.
- Coombes J. 2008. The art and science of resource estimation – a practical guide for geologists and engineers. Subiaco: Coombes Capability. p. 174.
- Crawford KM. 2013. Determination of bulk density of rock core using standard industry methods [Master's report]. Michigan Technological University.
- Dias PM. 2012. O uso da densidade nas estimativas de teores de cobre e os impactos observados na reconciliação [Dissertação de Mestrado]. Universidade Federal do Rio Grande do Sul.
- Dominy S, Noppe M, Annels A. 2004. Errors and uncertainty in mineral resource and ore reserve estimation: the importance of getting it right. CIM.
- Goycoolea M, Espinoza D, Moreno E. 2015. Comparing new and traditional methodologies for production scheduling in open pit mining. In: Application of Computers and Operations Research in the Mineral Industry – Proceedings of the 37th International Symposium, APCOM 2015, SME, Englewood, CO, p.352-359.
- Hopper T, Neville T, Birt B. 2018. Continuous dry bulk density evaluation using borehole magnetic. Resonance and density measurements. AEGC 2018, Sydney.
- Jamalan S, Rashidinejad F. 2017. Compare methods of fix lead, Milawa NPV and Milawa balance algorithm in optimizing the production of open pit mines. Open J Geol. 7:603–607.
- Laine E. 2003. Kriging estimation of block densities in Ahmavaara PGE-deposit. Application of computers and operations research in the minerals industries, South Africa.
- Lerchs H, Grossmann IF. 1965. Optimum design of open pit mines. Can Min Metall Bull. 58(633):17–24.
- Lipton T. 2001. Measurement of bulk density for resource estimation. In: Mineral resources and ore reserves estimation, the AusIMM guide to good practice. Melbourne. p. 57–66.
- Lisboa MC. 2018. Impacto da incorporação da variável densidade na estimativa de reservas minerais de ferro: Mina de Brucutu [Dissertação Mestrado]. Universidade Federal de Ouro Preto.
- Madani H, Mohammadi AM. 1996. Geostatistical reserve estimation in Dorreh barite mine. In: International symposium on application of computers and operations research in the minerals industries. 24 ed. University Park, PN.
- Makhuvha M, Arellano M, Harney W. 2014. Determination of bulk density, methods and impacts, with a case study from Los Bronces Mine, Chile, 2014.
- Motta E, Moraes I, Apolônio P, Ribeiro D. 2016. Incorporating mineralogical and density parameters in ferrous resource evaluation using mineralogical norm calculation – MNC. 24th World Mining Congress. Rio de Janeiro: IBRAM. p. 209–220.
- Rupprecht SM. 2016. SAMREC CODE – the application of modifying factors. Southern African Institute of Mining and Metallurgy Conference, Johannesburg.
- Salinas I, Emery X. 2012. Estimacion de recursos en un yacimiento de fierro. Santiago: Departamento de Ingeniería de Minas, Universidad de Chile.
- Sinclair AJ, Blackwell GH. 2002. Bulk density. In: Applied mineral inventory estimation, Cambridge: Cambridge University Press. Cap. 15, p. 294–300.
- Vasconcelos JA. 2012. Estudos de caracterização e concentração de Itabirito Compacto do compexo Serra Azul, MG. Tecnol Metal Mater Miner. 9(2):89–94.
- Yamamoto JK. 2005. Comparing ordinary kriging interpolation variance and indicator kriging conditional variance for assessing uncertainties at unsampled locations. In: Sean Dessureault, Rajive Ganguli, Vladislav Kecojevic, Jami Girard Dwyer, editors. Application of computers and operations research in the mineral industry. Leiden: Balkema. p. 265–272.