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NONLINEAR MOVING HORIZON OBSERVER FOR ESTIMATION OF STATES AND PARAMETERS IN UNDER-BALANCED DRILLING OPERATIONS

机译:欠平衡钻井作业中状态和参数的非线性移动地平线观测器

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It is not possible to directly measure the total mass of gas and liquid in the annulus and geological properties of the reservoir during petroleum exploration and production drilling. Therefore, these parameters and states must be estimated by online estimators with proper measurements. This paper describes a nonlinear Moving Horizon Observer to estimate the annular mass of gas and liquid, and production constants of gas and liquid from the reservoir into the well during Under-Balanced Drilling with measuring the choke pressure and the bottom-hole pressure. This observer algorithm based on a low-order lumped model is evaluated against Joint Unscented Kalman filter for two different simulations with low and high measurement noise co-variance. The results show that both algorithms are capable of identifying the production constants of gas and liquid from the reservoir into the well, while the nonlinear Moving Horizon Observer achieves better performance than the Unscented Kalman filter.
机译:在石油勘探和生产钻探过程中,无法直接测量环空中的气态和液态总质量以及储层的地质特性。因此,这些参数和状态必须由在线估算器通过适当的测量来估算。本文介绍了一种非线性移动层位观测器,用于估计欠平衡钻进过程中气阻和井底压力,从而估算气态和液态的环形质量,以及从储层进入井中的气态和液态的生产常数。针对低和高测量噪声协方差的两个不同模拟,针对联合无味卡尔曼滤波器评估了基于低阶集总模型的观察器算法。结果表明,两种算法都能够识别出从储层到井中的气体和液体的生产常数,而非线性“移动水平观测器”的性能要优于“无味卡尔曼”滤波器。

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