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Operational failure model for semi-submersible mobile units in harsh environments

机译:恶劣环境下半潜式移动设备的运行故障模型

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摘要

The Semi-submersible Mobile Unit (SMU) plays a vital role in the development of offshore oil and gas fields. Extreme weather conditions such as high winds, waves, and icy conditions impose an extraordinary load on the platform. This paper presents a detailed operational failure model considering the wind and wave combined loading of extreme weather conditions. The model is developed in a probabilistic framework using the Bayesian network (BN) to assess the operational risk quantitatively. The BN represents conditional dependencies of the weather effects and the operational characteristics of the SMU. The proposed model is tested and validated using a well-known accident - the Ocean Ranger. The model predicts a very high probability of operational failure (capsizing) in the prevailing weather conditions, which is confirmed by the fateful event on Feb 15, 1982. The proposed model is a useful and reliable tool to develop and monitor the operational failure envelope of the SMU in given environmental conditions. This work helps to promote safe and reliable offshore development.
机译:半潜式移动单元(SMU)在海上油气田的开发中起着至关重要的作用。极端天气条件(例如大风,大浪和冰冷条件)在平台上施加了非同寻常的负载。本文提出了一种考虑极端天气条件下风浪联合载荷的详细运行故障模型。该模型是使用贝叶斯网络(BN)在概率框架中开发的,以定量评估操作风险。 BN表示天气影响和SMU的运行特征的条件依赖性。所提出的模型是使用众所周知的事故-Ocean Ranger进行测试和验证的。该模型预测了在当前天气条件下极有可能发生操作故障(倾覆)的可能性,这在1982年2月15日的重大事件中得到了证实。所提出的模型是一种有用且可靠的工具,可用于开发和监控作业的故障范围在给定的环境条件下使用SMU。这项工作有助于促进安全可靠的海上开发。

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