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DEVELOPMENT OF A NEW METHODOLOGY FOR RISER DEFORMED SHAPE PREDICTION/MONITORING

机译:上升变形预测/监测新方法的开发

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Ocean environmental conditions, such as waves, winds, and currents, are getting harsher due to climate change. This means that oil and gas production platforms in the ocean may experience unexpectedly large environmental loads bigger than previous design loads. Also, many platforms are reaching the end of their design lives. Ensuring riser integrity is one of the most important issues for platform safety and service-life extension. Currently, monitoring sensors are deployed on risers, and structural evaluation methods are utilized to examine riser integrity. However, there are some limitations to the structural evaluation methods. Furthermore, platform operators continue to seek for more direct and cost-effective riser monitoring method due to the low price of oil. In this study, the Multi-Sensor Fusion (MSF) system is proposed to surmount technical and economic obstacles in real-time riser-monitoring technology. The MSF system is validated for TLP (tension-leg platform) risers by using numerical sensors and numerical-simulation tools.
机译:由于气候变化,海浪,风和洋流等海洋环境条件变得越来越严峻。这意味着海洋中的石油和天然气生产平台可能会遇到意料之外的大环境负载,而该环境负载要比以前的设计负载大。而且,许多平台都将达到其设计寿命的尽头。确保立管的完整性是平台安全和使用寿命的最重要问题之一。当前,监视传感器被部署在立管上,并且结构评估方法被用于检查立管的完整性。但是,结构评估方法存在一些局限性。此外,由于石油价格低廉,平台运营商继续寻求更直接和更具成本效益的立管监控方法。在这项研究中,提出了多传感器融合(MSF)系统,以克服实时立管监控技术中的技术和经济障碍。通过使用数值传感器和数值模拟工具,MSF系统已针对TLP(张力腿平台)立管进行了验证。

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