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Principles and Sensitivity Analysis of Automatic Calibration of MPD Methods Based on Dual-Gradient Drilling Solutions

机译:基于双梯度钻井解决方案的MPD方法自动校准原理及敏感性分析

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Dual-gradient drilling(DGD)solutions have been developed to work with greater margins while drilling in deep water environments by mirroring hydrostatic pressure conditions that are closer to the natural ones.Recent attempts have been undertaken to use DGD to actively control the downhole pressure and therefore turning them into managed pressure drilling(MPD)solutions.The pressure control strategy requires the knowledge of how pressure will change along the borehole as a function of the drilling parameters and therefore needs to use numerical hydraulic models.However,the accuracy of the prediction of pressure calculations depends on a certain number of parameters that are not necessarily well known.Some of those significant factors are well defined but are not necessarily measured as extensively as it would have been required.Others are subject to the actual downhole conditions and may change with time.Therefore,they are,in many instances,difficult to assess with enough certainty.As a result,it is necessary to constantly calibrate the downhole pressure calculations in order to match observed values at controlled positions.This calibration process is usually done manually by a human operator,leaving the possibility for possible misinterpretations of the actual calibration data and consequently a potentially erroneous control of the downhole pressure by the MPD control algorithm. In this paper,we review the sources of uncertainties that can affect the accuracy of the downhole pressure calculations.Thereafter,we explain how automatic calibration of the numerical models can be made in order to match reference measurements.The proposed method also allows for an evaluation of the accuracy by which the downhole pressure calculations can be made.In conjunction with the required precision to control the downhole pressure during a drilling operation,it is possible to assess whether additional measurements or working procedures should be implemented prior to an MPD dual-gradient operation with tight constraints.
机译:双梯度钻井(DGD)解决方案已经发展到具有更大利润的工作,而钻井通过镜像静水压力条件更接近自然ones.Recent尝试深水环境已经采取的使用DGD积极控制井下压力,因此把它们变成控制压力钻井(MPD)solutions.The压力控制策略要求的压力将如何沿钻孔改变作为钻探参数的函数的知识,并因此需要使用数值液压models.However,预测的准确度压力计算取决于一定数目的不一定被很好known.Some的是有严格规定的那些显著因素但不是那样广泛,因为它会一直required.Others一定测量的参数都受到实际的井下条件和可改变与时间。因此,他们在许多情况下,很难有足够的certainty.As一个评估结果,有必要不断地校准井下压力计算,以便在受控的positions.This校准过程通常是由一个操作人员手工完成匹配观测值,留给实际校准数据的可能误解的可能性,并因此潜在的错误控制由MPD控制算法井下压力。在本文中,我们审查可能影响井下压力calculations.Thereafter的精度不确定性的来源,我们将解释如何将数字模型的自动校准可以以匹配参考measurements.The提出建议的方法也允许评估精度通过该井下压力计算可与所需的精度来控制钻孔操作期间井下压力made.In结合的,可以评估是否附加的测量或工作程序应之前的MPD双梯度来实现有严格的限制操作。

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