Application of geostatistical tools to assess geological uncertainty for Sinquyen Copper mine, Vietnam
Автор: Mai Ngoc Luan, Bui Xuan Nam
Журнал: Горные науки и технологии @gornye-nauki-tekhnologii
Рубрика: Геология месторождений полезных ископаемых
Статья в выпуске: 2, 2016 года.
Бесплатный доступ
Geostatistics-based estimators, i.e. ordinary kriging and simple kriging, are state-of-the-art estimation techniques widely used in the mining industry. However, the estimation result of kriging techniques is not able to cope with the well-known uncertainty of geological attributes in mineralization deposits. Moreover, the smoothing effect of kriging algorithms has led to over/under estimation in many circumstances. To overcome these drawbacks, the deterministic estimation result of kriging is usually followed by stochastic results provided by stochastic simulation. In this paper, the application of ordinary kriging and stochastic simulation are performed to build the resource model together with the uncertainty assessment of the Sinquyen copper mine.
Geostatistics, ordinary kriging, sequential gaussian simulation, ore resource estimation
Короткий адрес: https://sciup.org/140215864
IDR: 140215864
Список литературы Application of geostatistical tools to assess geological uncertainty for Sinquyen Copper mine, Vietnam
- Deutsch, C.V., & Journel, A.G. (1998). Geostatistical software library and user’s guide (GSLIB).
- Dimitrakopoulos, R., Farrelly, C. & Godoy, M. (2002). Moving forward from traditional optimization: grade uncertainty and risk effects in open-pit design. Mining Technology, 111(1), 82-88.
- Goovaerts, P. (1997). Geostatistics for natural resources evaluation. Oxford University Press, New York, NY.
- Mai Ngoc Luan (2013). Research and application of geostatistical tools to model mineral deposits or surface mine planning and design. Master thesis, Hanoi University of Mining and Geology, Vietnam.
- Mai Ngoc Luan, Bui Hoang Bac, Bui Xuan Nam (2013). Geostatistical approach to ore reserves estimation and 3D geological map for mineral deposits in Vietnam. Vietnam Mining Industry Journal, Issue No. 2/2013.