Flexibility and quality assessment to counter ground-problem delays in the design of deep underground hard rock mining systems

深层采矿面临着技术和运营方面的挑战，需要集中研究，以管理与格林菲尔德项目相关的风险。这些风险与“正常”采矿条件下较高的温度/压力有关。应对与深海采矿生产系统有关的风险的战略之一是加强对变量的控制和引进新技术。与地面有关的问题将是深矿井的一个特别重点，并将需要证明设计备选方案的合理性，以优化采矿系统的总体风险状况。在可行性阶段提出了适合采用哪些措施进行深海采矿的问题，在此阶段正在基础设施、方法和技术需求方面做出不可逆转的决定。拟议的工作评估的质量和灵活性评估在地下矿山的规划和设计的相互作用与地面问题的延误是生产系统的风险障碍。可采用质量措施，通过统计分析提高采矿作业的绩效，而统计分析要求在过程能力/绩效模拟分析中提供成本和不确定性数据。 通过应用真实的选项和过程模拟进行柔性评估，可以提供替代方案的合理性，从而提高生产系统的鲁棒性，以满足其目标和系统的优化。在这个研究项目的方法包括应用统计方法和真实的选项分析过程模拟建模，通过案例研究工作，地面问题的延误和潜在的替代，以改善其影响被认为是。提高质量和采用灵活性将对深部采矿系统的设计产生重大的资本和业务费用影响，而替代方案的合理性取决于地面问题的频率和影响。其结果将提供一个工具，评价替代品包含灵活性和质量的组成部分。

Deep mining faces technological and operational challenges that require intensive research focus to manage the risks associated with Greenfield projects. These risks are related to higher temperatures/stress compared to "normal" mining conditions. Among the strategies to counter the risk associated with mine production systems at depth is the greater control of variables and the introduction of new technologies. Ground-related problems will be a particular focus in deep mines, and will require the justification of design alternatives that optimize the overall risk profile of a mining system. The question of which measures are appropriate to be introduced for deep mining is posed at the feasibility stage, where irreversible decisions in terms of infrastructure, method and technology needs are being made. The proposed work evaluates the interaction of quality and flexibility assessment in the planning and design of underground mines with ground-problem delays being the risk impediment to the production system. Quality measures can be introduced to enhance the performance of mine operations through statistical analyses that require cost and uncertainty data in a process capability/performance simulation analysis. Flexibility assessment through the application of real options and process simulation can provide the justification of alternatives that improve the robustness of a production system to meet its targets and the optimization of a system. The methodology in this research project includes the application of statistical methods and real options analysis to process simulation modelling, through case study work where ground-problem delays and the potential alternative to ameliorate their impact are considered. Quality enhancement and introduction of flexibility will have important capital and operating cost implications in the design of deep mining systems with the justification of alternatives being a function of the frequency and the impact of ground problems. The result will provide a vehicle for the evaluation of alternatives containing both flexibility and quality components.