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Assessing geological uncertainty of a cement raw material deposit, southern Vietnam, based on hierarchical simulation
International Journal of Mining Science and Technology ( IF 11.7 ) Pub Date : 2020-06-12 , DOI: 10.1016/j.ijmst.2020.05.022
Trong Vu , Carsten Drebenstedt , Tran Bao

Resource modeling plays a crucial role in raw material quality management for cement manufacturing. Research has shown that geological uncertainty in resource modeling is inevitable and results in risk to future extraction planning and operations of the cement plant. This study aims to assess the geological uncertainty and associated risk in modeling a cement raw material deposit in southern Vietnam. For this deposit, soil, clay, laterite, and limestone are the four primary rock types, controlling the occurrence and spatial distribution of chemical grades. In this study, hierarchical simulation method was used to evaluate the uncertainty. Rock types were first simulated, and the chemical grades conditioning to the rock types were then generated. The results demonstrated the capability of the hierarchical simulation approach to incorporate the uncertainty of rock types in resource modeling and to allow evaluating the risks in providing the desired raw material for the cement plant in the form of grade-tonnage curves.



中文翻译:

基于分层模拟评估越南南部水泥原料矿床的地质不确定性

资源建模在水泥生产的原材料质量管理中起着至关重要的作用。研究表明,资源建模中的地质不确定性是不可避免的,并给水泥厂未来的开采计划和运营带来风险。这项研究旨在评估越南南部水泥原料矿床建模的地质不确定性和相关风险。对于该矿床,土壤,粘土,红土和石灰石是四种主要岩石类型,它们控制着化学等级的发生和空间分布。在这项研究中,使用分层模拟方法来评估不确定性。首先模拟岩石类型,然后生成针对岩石类型的化学等级调节。

更新日期:2020-06-12
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