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Recent Improvements in Subsea Wellhead Fatigue Monitoring Algorithm and Accuracy Using Verification and Calibration Techniques

机译:利用验证和校准技术,近期井口疲劳监测算法及准确性的最新改进

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Current subsea wellhead fatigue monitoring systems typically measure subsea BOP stack response and convert accelerations directly to the stress on various critical wellhead components using transfer functions. The veracity of this process relies on the accuracy of input data and the numerical modelling of the riser, subsea stack and wellhead conductor system. Poor representation of a real system could potentially yield an inaccurate calculation of transfer functions and consequently, imprecise estimation of the stress levels and predicted fatigue damage. The transfer function is strongly influenced by subsea stack system stiffness, which depends on dynamic soil response, stack hydrodynamic added mass and drag, location of the subsea stack fixity point, and stack-conductor system characteristic frequency. The latter two can be measured in the field and compared with predictions from numerical models. This paper evaluates the subsea wellhead fatigue monitoring algorithm and accuracy using verification and calibration techniques with field measurements. Important considerations for verification and calibration (e.g. soil property) are also discussed.
机译:电流海底井口疲劳监测系统通常使用传递函数将海底BOP堆叠响应和直接转换加速度转换为各种临界井口部件的应力。该过程的真实性依赖于输入数据的准确性和提升器,海底堆叠和井口导体系统的数值建模。实际系统的不良表示可能会产生对转移函数的不准确计算,从而估计应力水平并预测疲劳损伤。转移函数受海底堆叠系统刚度的强烈影响,这取决于动态土壤响应,堆叠流体动力学额外的质量和拖曳,海底堆叠固定点的位置,以及堆叠导体系统特征频率。可以在现场测量后两者,并与来自数值模型的预测相比。本文使用验证和校准技术评估了海底井口疲劳监测算法和准确性与现场测量。还讨论了验证和校准的重要考虑因素(例如土壤属性)。

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