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Geostatistical estimation analysis of typical Carlin gold deposit in Hunan province, China
Author(s) -
Shan-Yan Huang,
Yuling Xie
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/267/2/022033
Subject(s) - geostatistics , kriging , estimation , outlier , statistic , geology , variogram , computer science , data mining , mining engineering , statistics , spatial variability , mathematics , engineering , systems engineering
In this paper, 3D mining modelling software was used to construct the 3D geological model of Typical Carlin gold deposit in Hunan province of China, and the geostatistics theories are also involved for the resource estimation which offer references for additional exploration and mining plans. Access database was constructed for gold deposit, topo DTM, mineralised body models and grade models are constructed by Surpac, and also analysis of the spatial grade distribution in reality was completed with statistic softwares. By using of geostatistics, assay samples are composited and analysed statistically and outliers influence was reduced to certail level. Experimental Variation functions were constructed for the strike, dip and vertical directions. Certain attributes are estimated by Ordinary Kriging estimation method. Comparing to the traditional estimation methods, estimation under 3D block model can obtain more reliable analysis results, which have significant reference values for dynamic management of mine operation.

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