Abstract This paper presents a new cuttings transport model that captures the time-dependent effects of pipe rotation, drillpipe eccentricity and annulus blockage on hole cleaning. By integrating the time-dependent model with well construction data, the level of cuttings deposition along the trajectory of the wellbore can be simulated in real-time. The model recalculates its hole cleaning assessment at every time-step, and can use real-time drilling data at pre-determined time/depth intervals for calibration purposes. The integrated, real-time hole cleaning model was applied to a field case. Field data from an actual stuck pipe event was used to calculate the behavior of the cuttings profile in time along the wellbore. The data show that a high rate of penetration whilst sliding with a directional motor in the near-horizontal section of the well resulted in a significant amount of cuttings buildup around the bottom hole assembly (BHA). Unsurprisingly, the drillstring packed off and became stuck on the final trip out of the hole. Moreover, the casing-hole annulus packed off and caused induced losses while cementing because of the cuttings bed left in the hole. If the proposed time-dependent cuttings transport model had been utilized, these well problems and associated non-productive time (NPT) could have been better predicted and possibly avoided.

中文翻译：

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考虑井筒环空偏心、旋转和部分堵塞影响的时变岩屑输运建模

摘要 本文提出了一种新的岩屑输运模型，该模型可捕捉管道旋转、钻杆偏心和环空堵塞对井眼清洁的时间依赖性影响。通过将瞬态模型与建井数据相结合，可以实时模拟沿井眼轨迹的岩屑沉积水平。该模型在每个时间步重新计算其井眼清洁评估，并且可以使用预定时间/深度间隔的实时钻井数据进行校准。将集成的实时孔清理模型应用于现场案例。来自实际卡管事件的现场数据用于计算沿井眼的钻屑剖面的行为。数据显示，当在井的近水平部分使用定向马达滑动时，高渗透率导致井底组合 (BHA) 周围堆积大量钻屑。不出所料，钻柱在最后一次出井时被卡住了。此外，由于钻屑床留在井眼中，套管井眼环空在固井过程中被填塞并造成损失。如果使用了所提议的随时间变化的岩屑输运模型，这些井问题和相关的非生产时间 (NPT) 就可以更好地预测并可能避免。在固井过程中，由于钻屑床留在井眼中，套管井眼环空被填塞并造成损失。如果使用了所提议的随时间变化的岩屑输运模型，这些井问题和相关的非生产时间 (NPT) 就可以更好地预测并可能避免。在固井过程中，由于钻屑床留在井眼中，套管井眼环空被填塞并造成损失。如果使用了所提议的随时间变化的岩屑输运模型，这些井问题和相关的非生产时间 (NPT) 就可以更好地预测并可能避免。