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Probabilistic Real-Time Trajectory Control Considering Uncertainties of Drilling Parameters and Rock Properties

机译:考虑钻井参数和岩石特性的不确定性的概率实时轨迹控制

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This work provides a probabilistic approach to proactively adjust drilling parameters (which can be uncertain) in real time to help ensure the actual drilling path overlaps the target drilling path to the maximum extent. The planned well path is initially adjusted by a probabilistic formation earth model (EM) for maximum production potential and then adjusted to help improve well path smoothness to allow the passage of tubular strings. Drilling parameters and EM data can be updated in real time during drilling operations. Considering the uncertainty associated with petrophysical properties and drilling parameters, the overlap probability between actual and target well paths was computed for current and to-be-drilled locations. All position-related data were described as distributions. The mean value and standard deviation were computed in real time. Overlapping probability (between actual and target well paths) was used as feedback for drilling parameter adjustments. This closed-loop feedback process enables proactive control of the actual well path. Here, it is illustrated using a horizontal well case study from a typical shale field. Based on log data, formation properties [Young's modulus, porosity (Φ), and total organic carbon (TOC)] are calculated using the real-time EM. At the current drill-bit location, those properties are described statistically as normal distributions rather than single values, as are the drilling parameters, including weight on bit (WOB), rotary speed (RPM), and flow rate (Q). Statistical methods are applied to quantify the uncertainty of the predicted actual well path. All position- related data are described as distributions. The drilling path simulation indicates that the trajectory resulting from using this new control method provides better reservoir access and maintains dogleg severity (DLS) at an acceptable level.
机译:这项工作提供了概率的方法,可以实时地调整钻井参数(这可能是不确定的),以帮助确保实际钻孔路径与最大程度的目标钻井路径重叠。计划的井路径最初由概率形成地球模型(EM)调节,以进行最大的生产电位,然后调整以帮助改善井的路径平滑度以允许管状串的通过。钻井参数和EM数据可以在钻井操作期间实时更新。考虑到与岩石物理特性和钻井参数相关的不确定性,计算实际和目标井路径之间的重叠概率,用于电流和钻孔位置。所有与位置相关数据被描述为分布。平均值和标准偏差实时计算。重叠概率(实际和目标阱路径之间)用作钻孔参数调整的反馈。该闭环反馈过程可以主动控制实际井路径。这里,使用来自典型页岩场的水平井案例研究。基于日志数据,使用实时EM计算形成性能[杨氏模量,孔隙率(φ)和总有机碳(TOC)]。在当前的钻头位置,这些属性在统计上描述为正常分布而不是单个值,以及钻孔参数,包括位(WOB)的重量,旋转速度(RPM)和流量(Q)。应用统计方法以量化预测的实际井道的不确定性。所有位置相关数据都被描述为分布。钻探路径仿真指示使用该新控制方法产生的轨迹提供了更好的水库访问,并在可接受的级别维护Dogleg严重性(DLS)。

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