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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对海底井口疲劳监测算法和精度的最新改进

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Current subsea wellhead fatigue monitoring systems typically measure subsea BOP stack response andrnconvert accelerations directly to the stress on various critical wellhead components using transfer functions.rnThe veracity of this process relies on the accuracy of input data and the numerical modelling of thernriser, subsea stack and wellhead conductor system. Poor representation of a real system could potentiallyrnyield an inaccurate calculation of transfer functions and consequently, imprecise estimation of the stressrnlevels and predicted fatigue damage. The transfer function is strongly influenced by subsea stack systemrnstiffness, which depends on dynamic soil response, stack hydrodynamic added mass and drag, locationrnof the subsea stack fixity point, and stack-conductor system characteristic frequency. The latter two canrnbe measured in the field and compared with predictions from numerical models. This paper evaluates thernsubsea wellhead fatigue monitoring algorithm and accuracy using verification and calibration techniquesrnwith field measurements. Important considerations for verification and calibration (e.g. soil property) arernalso discussed.
机译:当前的海底井口疲劳监测系统通常会测量海底BOP堆的响应,并使用传递函数将加速度直接转换为各种关键井口组件上的应力.rn该过程的准确性取决于输入数据的准确性以及热敏电阻,海底烟囱和井口的数值模型导体系统。实际系统的表示不当可能会导致传递函数的计算不准确,从而导致对应力水平的估计不准确以及预计的疲劳损伤。传递函数受到海底堆垛系统刚度的强烈影响,该刚度取决于动态土壤响应,堆垛水动力附加质量和阻力,海底堆垛固定点的位置以及堆垛导体系统的特征频率。后两个可以在现场进行测量,并与数值模型的预测结果进行比较。本文利用现场测量的验证和标定技术对海底井口疲劳监测算法和准确性进行了评估。还讨论了验证和校准的重要考虑因素(例如土壤性质)。

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