Understanding and modelling the influences of plant operational parameters on equipment life cycle costs

了解工厂运行参数对设备生命周期成本的影响并对其进行建模

• 批准号: 238671-2013
• 负责人: Hall, Robert
• 金额: $ 1.68万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=547057
• 关键词: Understanding; modelling; influences; plant; operational

During a meeting with a senior executive of a major Canadian mining company the applicant was informed that their worldwide maintenance costs were 1.25 billion dollars. Historically mining has struggled to optimize maintenance activities, due in part to a lack of understanding/modelling of the link between operational practices and equipment life cycle. The applicant spent a one year sabbatical during which extensive time was spent working with the processing plant reliability group of a major oil sands company. During this tenure it became apparent that there is limited understanding and practically no models that allow maintenance decision makers to incorporate the influence of plant operational parameters on equipment maintenance and reliability. In fact this is true of mining process plants in general. An interesting observation with regards to oil sands is the integration of two industries oil production and mining. In your typical oil processing plant the operating environment is stable and plants will run for years without major outages. In a typical mining processing plant the equipment is subjected to a significantly more variable operating environment and consequently a higher frequency of maintenance outages. When you combine a mining environment with an oil processing plant the result is an extremely variable operating environment and plant maintenance costs in excess of 4 billion dollars per year for the existing operations in Fort McMurray, Alberta Given the significance of maintenance costs to the mining industry and the general lack of understanding/modelling of the link between operational parameters and equipment reliability, this research will focus on developing a fundamental understanding of the parameters and their influences and then work towards developing models and simulations to predict the influence of these operational parameters on plant process equipment reliability with the overriding goal of using this information to reduce equipment life cycle costs. To facilitate the research data from an oil sands operation has been/is being collected and will be used to develop the methodology and test the results. The methodology will then be applied to traditional mining operations.

在与一家加拿大主要矿业公司的高级主管会议上，申请人被告知他们的全球维护成本为12.5亿美元。从历史上讲，采矿一直在努力优化维护活动，部分原因是对操作实践与设备生命周期之间的联系缺乏了解/建模。申请人花费了一年的休假，在此期间，花费了很长的时间与一家主要油砂公司的加工厂可靠性组一起工作。在这个任期期间，很明显，理解力有限，实际上没有模型可以使维护决策者能够纳入工厂操作参数对设备维护和可靠性的影响。实际上，一般而言，采矿工艺工厂都是如此。关于油砂的一个有趣的观察是，两个工业的石油生产和采矿的整合。在您典型的石油加工厂中，操作环境稳定，工厂将在没有大量停电的情况下运行多年。在典型的采矿工厂中，该设备经历了更可变化的操作环境，因此维护中断频率更高。 When you combine a mining environment with an oil processing plant the result is an extremely variable operating environment and plant maintenance costs in excess of 4 billion dollars per year for the existing operations in Fort McMurray, Alberta Given the significance of maintenance costs to the mining industry and the general lack of understanding/modelling of the link between operational parameters and equipment reliability, this research will focus on developing a fundamental understanding of the parameters and their influences and then work towards developing models and simulations为了预测这些操作参数对植物过程设备可靠性的影响，并使用此信息降低设备生命周期成本的压倒性目标。为了促进来自油砂运营的研究数据，已经/正在收集，并将用于开发方法并测试结果。然后，该方法将应用于传统的采矿业务。