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REAL-TIME RISER FATIGUE MONITORING ROUTINE: ARCHITECTURE, DATA AND RESULTS

机译:实时上升器疲劳监测程序:架构,数据和结果

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Recently, the Modal Decomposition and Reconstruction (MDR) algorithm was developed to accurately estimate fatigue damage in marine risers based on measured acceleration and angular rates at several locations. The greatest benefit for drilling risers can be derived by incorporating the method in an online, fully automated system. In this way, fatigue damage estimates are available to the crew on the rig in real-time for risk quantification and mitigation. To this end, the MDR routine was implemented for online assessment of fatigue damage along the entire riser from acceleration and angular rate measurements at typically 5-10 elevations. This paper discusses the architecture, highlights some measured data and provides results for modes, stress and fatigue damage rate for the Chikyu drilling vessel during two scientific drilling campaigns. These campaigns occurred at the Shimokita site (1180-meter water depth) and the Nankai trough site (1939-meter water depth). To the authors' knowledge, realtime fatigue monitoring of the entire riser has not been accomplished previously. Robust incorporation of the MDR algorithm into an online computational environment is detailed, including incorporation of top tension and mud weight data from the rig, detection and removal of data errors, and streamlined flow of the data through the computational modules. Subsequently, it is shown by example how the measured accelerations and angular rates are used to determine excited modes, participating modes, stress distribution and fatigue damage along the entire Chikyu drilling riser in an online setting. The technology highlighted advances riser integrity management two steps forward by first using measured data at 5-10 locations and the MDR algorithm to reconstruct stress and fatigue damage along the entire riser, and secondly integrating this approach into a fully automated, real-time computational environment. As a result, drilling engineers are empowered with a tool that provides real-time data on the integrity of the drilling riser, enabling informed decisions to be made in adverse current or wave conditions. Measured data also serves as a benchmark for analytical model calibration activities, reducing conservatism in stress and fatigue in future deployments. Furthermore, cumulative fatigue damage can be tracked in each riser joint, enabling more effective joint rotation and inspection programs.
机译:最近,开发了模态分解与重建(MDR)算法,以基于在几个位置处测得的加速度和角速率,准确估算船用立管中的疲劳损伤。通过将这种方法集成到在线的全自动系统中,可以获得钻探立管的最大好处。这样,疲劳损伤估计值可实时提供给钻机上的工作人员,以量化和减轻风险。为此,实施了MDR例程,以便从通常在5至10个仰角处的加速度和角速率测量结果,在线评估整个立管的疲劳损伤。本文讨论了该体系结构,重点介绍了一些测量数据,并提供了两次科学钻探活动期间Chikyu钻井船的模式,应力和疲劳损伤率的结果。这些运动发生在下北田站(水深1180米)和南海海槽站(水深1939米)。据作者所知,整个立管的实时疲劳监测以前尚未完成。详细介绍了将MDR算法稳健地整合到在线计算环境中的方法,包括将钻机中的最高张力和泥浆重量数据整合,检测和消除数据错误,以及简化了通过计算模块的数据流。随后,通过示例显示了如何在在线设置中如何使用测得的加速度和角速率来确定整个Chikyu钻探立管的激振模式,参与模式,应力分布和疲劳损伤。该技术突出了提升立管完整性管理的两个步骤,首先是使用5-10个位置的测量数据,并使用MDR算法重构整个立管的应力和疲劳损伤,其次将这种方法集成到全自动的实时计算环境中。因此,钻井工程师可以使用一种工具来提供有关钻井立管完整性的实时数据,从而能够在不利的电流或波浪条件下做出明智的决策。测得的数据还可以用作分析模型校准活动的基准,从而减少将来部署中应力和疲劳的保守性。此外,可以在每个立管接头中跟踪累积的疲劳损伤,从而可以更有效地进行接头旋转和检查程序。

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