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Estimation of States and Parameters of a Drift-Flux Model with Unscented Kalman Filter

机译:带有无味卡尔曼滤波器的漂移通量模型的状态和参数估计

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We present a simplified drift-flux model (DFM) describing a multiphase (gas-liquid) flow during drilling. The DFM uses a specific slip law, without flow-regime predictions, which allows for transition between single and two phase flows. With this model, we design an Unscented Kalman Filter (UKF) for estimation of unmeasured states, production parameters and slip parameters using real time measurements of the bottom-hole pressure and liquid and gas rate at the outlet. The performance is tested against the Extended Kalman Filter (EKF) by using OLGA simulations of typical drilling scenarios. The results show that both UKF and EKF are capable of identifying the production constants of gas from the reservoir into the well, while the UKF has better convergence rate compared with EKF.
机译:我们提出了一种简化的漂移通量模型(DFM),用于描述钻井过程中的多相(气液)流动。 DFM使用特定的滑移定律,无需进行流态预测,从而可以在单相和两相流之间进行转换。使用此模型,我们设计了无味卡尔曼滤波器(UKF),用于通过实时测量井底压力以及出口处的液体和气体速率来估算未测状态,生产参数和滑动参数。通过使用典型钻井场景的OLGA仿真,针对扩展卡尔曼滤波器(EKF)对性能进行了测试。结果表明,UKF和EKF都能够识别从储层到井的天然气生产常数,而UKF的收敛速度比EKF更好。

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