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Predictive Condition Monitoring for Subsea Pumping Systems

机译:海底抽水系统的预测状态监视

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For subsea pumps, regular maintenance is required (in the order of every 5 years or so). Being able to plan this intervention to be "just in time" will reduce downtime, and optimize production enhancement. Being able to state with certainty whether a pump e.g. can be allowed to run one extra year (i.e. 6 years instead of 5) gives reduced downtime. Such techniques have been applied to topside systems for a long time, and are now being extended to subsea systems. A data monitoring system with algorithms for monitoring certain Key Performance Indicators for a pumping system has been developed and applied, and is used to determine "time to service". Three subsea pumping systems are used as real examples, with results from system testing and operation. Subsea data networks with "self-healing" capabilities are briefly described.
机译:对于海底泵,需要定期维护(每5年左右一次)。能够将此干预计划为“及时”,将减少停机时间,并优化产量。能够确定陈述泵是否可以允许再运行一年(即6年而不是5年),从而减少了停机时间。这样的技术已经长期应用于上层系统,并且现在被扩展到海底系统。已经开发并应用了具有用于监视泵系统某些关键性能指标的算法的数据监视系统,该系统用于确定“服务时间”。以三个海底抽水系统为例,并获得了系统测试和运行的结果。简要介绍了具有“自我修复”功能的海底数据网络。

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