西加里曼丹Kalan地区Remaja段铀矿化地质统计矿体模拟

R. C. Ciputra, M. Heriawan, H. Syaeful, Dhatu Kamajati, Putri Rahmawati
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引用次数: 0

摘要

在西加里曼丹卡兰的Remaja区,手工矿体建模通常需要很长时间,而且是主观的。另一方面,自动建模(隐式建模)速度更快、更客观,并带有不确定性因素。本研究旨在分析地统计序贯指标模拟(SIS)矿体模型与人工矿体模型的比较。岩性数据库作为变异分析和SIS模拟的输入。利用定向变异函数构造了具有定向数据的岩性实验变异函数。岩性的取向与其变异图的各向异性相对应。SIS在A块和B块进行,块大小分别为6×6×6 m3和5×5×5 m3。对模拟结果进行处理,得到岩性概率模型。采用最大概率法作为块体岩性,利用复合数据库直方图,在Eko Remaja隧道450层的地质图上对隧道沿线岩性进行了较好的验证。,以及钻孔沿线的岩性。地统计矿体模型的缺点是结果依赖于输入参数。同时,地统计矿体模型的优点是处理速度快,具有不确定性因素,模型的块大小考虑了品位数据之间的距离,可以直接用于品位估算。在定量上,地统计矿体模型与矿化带沿钻孔岩性的平均符合率高于人工矿体模型。
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Geostatistical Ore Body Modeling on Uranium Mineralization in Remaja Sector, Kalan Area, West Kalimantan
Manual ore body modeling on Remaja Sector, Kalan, West Kalimantan generally takes a long time and is subjective. On the other hand, automatic modeling (implicit modeling) is faster, objective, and equipped with uncertainty factors. This study aimed to analyze the comparison between the geostatistical Sequential Indicator Simulation (SIS) ore body model to the manual ore body model. The lithology database was used as input for variogram analysis and SIS simulation. The directional variogram was used to construct an experimental variogram for the lithology with orientation data. The orientation of the lithologies corresponds to the anisotropy of their variogram map. The SIS was carried out in  Block A and Block B with block sizes of 6×6×6 m3 and 5×5×5 m3 respectively. The simulation results were processed to produce a lithology probability model. By using maximum probability as block lithology, simulation results were well validated by the composite database histogram, the lithologies along the tunnel on the geological map of level 450 masl of Eko Remaja Tunnel., and the lithologies along boreholes. The weakness of the geostatistical ore body model was the results depending on the input parameters. Meanwhile, several advantages of the geostatistical ore body model were a faster processing process, equipped with an uncertainty factor, and the block size of the model has taken into account the distance between grade data so that it can be used directly for grade estimation. Quantitatively, the geostatistical ore body model had a higher average percentage of conformity to the lithology of the mineralized zone along the borehole than the manual ore body model.
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