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Analytical Modeling of a Synthetic VMS Deposit Data: a Proxy Tool for Education and Initial Research
Mining, Metallurgy & Exploration ( IF 1.9 ) Pub Date : 2021-01-14 , DOI: 10.1007/s42461-020-00377-5
Viktor Lishchuk , Elena Haller , Olof Martinsson , Tobias E Bauer

Freely accessible and non-confidential real-life geological data sets from mineral deposits are desirable for the wide range of applications in research and education. However, publicly available statistical data are limited in their number and quality—they contain reduced information about geological, geophysical, geotechnical, chemical, mineralogical, and other relevant properties of deposits. This makes such data insufficient for scientific purposes. However, the amount of geological knowledge obtained for a variety of deposits in the past allows the construction of an idealized synthetic ore body model using analytical approach. Such a model could be used for education purposes and testing basic scientific theories, e.g., visualization of deposit structure; teaching sampling strategies; testing new algorithms for mine planning; or comparing geostatistical modeling methods. This paper presents an analytical approach to simulate volcanic massive sulfide (VMS) deposits and shows how synthetic deposit model can be constructed and further used for studying sampling with drilling and simulating folding and faulting.



中文翻译:

综合VMS沉积数据的分析模型:用于教育和初步研究的代理工具

对于研究和教育中的广泛应用,从矿床中免费获取和非机密的现实生活地质数据集是理想的。但是,可公开获得的统计数据的数量和质量受到限制-它们包含的有关地质,地球物理,岩土工程,化学,矿物学和其他相关储藏属性的信息减少了。这使得这些数据不足以用于科学目的。但是,过去获得的各种矿床的地质知识数量允许使用分析方法构建理想的合成矿体模型。这样的模型可以用于教育目的和测试基本的科学理论,例如,可视化存款结构;教学抽样策略;测试用于矿山规划的新算法;或比较地统计建模方法。本文提出了一种模拟火山状大块硫化物(VMS)沉积物的分析方法,并展示了如何构建合成沉积物模型,并将其进一步用于研究钻井采样以及模拟褶皱和断层。

更新日期:2021-01-14
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