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BHP Olympic Dam's transformation to live implicit modelling and innovative solutions to working in data dense environments

机译:BHP奥林匹克大坝的转型为在数据密集环境中工作的隐含建模和创新解决方案

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Effective use of live data informing real-time decision making is becoming increasingly prevalent within the mining industry, as users seek to leverage more value from their investment in geological data collection. This remains the core of the ongoing project to modernise the data handling and modelling processes at Olympic Dam. This paper describes the innovative transformation of the Olympic Dam geological model from sound practice to leading edge, enabled by industry leading model management and database solutions. Traditionally holistic model updates of Olympic Dam were problematic due to the size of the deposit and the vast quantity of historical data. Explicit modelling methods were inflexible and time intensive, leading to delays in model releases. However, initial implementations of implicit modelling methods were hampered by computational limitations in processing of the very large data sets. A new approach to allow data segregation and manageable data handling was required.
机译:随着用户寻求利用他们对地质数据收集的投资的更多价值,可以有效地利用实时数据的实时决策变得越来越普遍。这仍然是正在进行的项目的核心,以使奥林匹克大坝的数据处理和建模过程现代化。本文介绍了由业界领先的模型管理和数据库解决方案启用了奥林匹克水坝地质模型的创新转变。由于存款的规模和大量的历史数据,传统的整体模型更新是有问题的。显式建模方法是不灵活和时间密集的,导致模型版本延迟。然而,通过在处理非常大的数据集的计算限制,通过计算限制阻碍了隐式建模方法的初始实现。一种允许数据隔离和可管理数据处理的新方法。

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