首页> 外文会议>Offshore Technology Conference >Subsea Wellhead and Riser Fatigue Monitoring in a Strong Surface and Submerged Current Environment
【24h】

Subsea Wellhead and Riser Fatigue Monitoring in a Strong Surface and Submerged Current Environment

机译:在强地面和水下环境中的海底井口和立管疲劳监测

获取原文

摘要

A drilling campaign was recently undertaken by Shell Oil Company in a region with high surface andsubmerged currents. The water depth ranged from 5500–7000 ft at the various well sites in the region.Strong surface currents with maximum speeds of 4.5–5.0 knots were measured using an Acoustic DopplerCurrent Profiler (ADCP). In addition, submerged currents with maximum speed of around 1.5 knots wererecorded. High fidelity Subsea Vibration Data Loggers (SVDLs) were used to monitor the in-situ riser andBOP stack vibrations due to the arduous current environment, as well as wave and vessel-driven motions.A semi-analytical method was developed to estimate wellhead fatigue damage directly using themeasured BOP stack motion data. High quality vibration data from the SVDLs were used in conjunctionwith analytical transfer functions to directly compute stress time histories and S-N fatigue damage at anylocation of interest in the conductor/wellhead/BOP system. The method was utilized in a larger fatiguereconstruction scheme that was applied to subsea wellhead and riser fatigue monitoring activities duringdrilling operations in the region. ADCP data was correlated to the SVDL data to determine the source ofvibrations at low and high frequencies.Simultaneous ADCP and SVDL data were also used to calibrate SHEAR7 v4.2 parameters. In betweenSVDL deployments, wellhead and riser stress and fatigue values were determined using the calibratedSHEAR7 models, driven by the measured current profiles. Wellhead motions were tabulated from ROVvideo and used to validate vibration reconstruction from the SVDL data and predictions from SHEAR7simulation. Using these methods, stress and fatigue life consumption estimates are robust to unavailabilityof ADCP data and/or ROV video and/or data from one or more SVDLs.Normalized vibration, stress and fatigue consumption are presented over the riser deployment period.It was found that moderate speed submerged currents, which extend over a broad range below typicalfairing depths, lead to significantly higher wellhead stress and fatigue life consumption rate comparedhigher speed surface currents. The sensitivity of a typical wellhead and BOP stack to lower-frequencyvibrations was examined. It is shown that because the submerged currents are of a lower speed, they excitemodes that are closer in frequency to the “flagpole” mode of the casing/wellhead/BOP subsystem, leadingto higher wellhead motion and stress.The methods introduced herein provide rapid turn-around of raw data to fatigue consumption, enablinginformed decisions to be made in adverse conditions. The methodology is easily extendable to real-timefatigue monitoring using a cabled system or acoustic modem to transmit data to the surface. In addition,the significance of regional submerged currents for wellhead stress and fatigue is highlighted, as well asconsiderations for vibration mitigation.
机译:壳牌石油公司最近在一个地表高, 淹没的水流。该地区各个井场的水深范围为5500-7000英尺。 使用声波多普勒测量了最大速度为4.5–5.0结的强表面电流 电流探查器(ADCP)。此外,最大速度约为1.5节的淹没水流 记录下来。高保真海底振动数据记录仪(SVDL)用于监测现场立管和 由于恶劣的电流环境以及波浪和船只驱动的运动,防喷器堆的振动。 开发了一种半分析方法,可以直接使用 测量的BOP堆栈运动数据。结合使用了来自SVDL的高质量振动数据 具有分析传递函数,可在任何时间直接计算应力时间历史和S-N疲劳损伤 导管/井口/防喷器系统中感兴趣的位置。该方法用于较大的疲劳 重建方案应用于海底井口和立管疲劳监测活动期间 该地区的钻井作业。将ADCP数据与SVDL数据相关联,以确定来源 低频和高频振动。 同时使用ADCP和SVDL数据校准SHEAR7 v4.2参数。在两者之间 使用已校准的SVDL部署,井口和立管应力和疲劳值 SHEAR7模型,由测得的电流曲线驱动。井口运动由ROV制成表格 视频,并用于根据SVDL数据和SHEAR7的预测验证振动重建 模拟。使用这些方法,压力和疲劳寿命消耗估算对于不可用是可靠的 ADCP数据和/或ROV视频和/或来自一个或多个SVDL的数据。 在立管部署期间显示了归一化的振动,应力和疲劳消耗。 发现中等速度的淹没电流,其范围比典型值低 整流罩深度,导致井口应力和疲劳寿命消耗率显着提高 更高的表面电流。典型的井口和防喷器组对低频的敏感性 检查振动。结果表明,由于淹没电流的速度较低,因此它们会激发 频率与套管/井口/ BOP子系统的“旗杆”模式更接近的频率, 更高的井口运动和压力。 本文介绍的方法可快速将原始数据转换为疲劳消耗,从而实现 在不利条件下做出明智的决定。该方法很容易扩展到实时 使用电缆系统或声学调制解调器进行疲劳监测,以将数据传输到地面。此外, 强调了区域淹没流对井口应力和疲劳的重要性,以及 减振的注意事项。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号