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Assessment of Uncertainties and Parameter Estimation in a Offshore Gas Pipeline

机译:在海上天然气管道中评估不确定性和参数估计

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Natural gas has a great importance in actual economy, and its transport is done usually through pipeline networks. The operation of a gas pipeline uses numerical models for calculation of intermediate properties, prediction of future behavior and estimation of the integrated flow capacity. These models are based on physical assumptions, closure laws and field measurements of boundary conditions such as pressure, flow, temperature and composition of the natural gas. This paper presents a development proposed for state and parameter estimation based on the implementation of an extended Kalman filter, in order to determine appropriate values for the flow parameters and use of complementary measurements in the boundary conditions. These results are compared to the ones obtained by using the Equal Error Fraction Method. It was found reduced pressure and flow systematic errors when the Kalman filter was used to estimate parameters.
机译:天然气在实际经济方面具有重要意义,其运输通常通过管道网络完成。 气体管道的操作使用用于计算中间特性的数值模型,预测未来行为和集成流量的估计。 这些型号基于物理假设,闭合法律和边界条件的磁场测量,例如压力,流量,温度和天然气的组成。 本文提出了基于扩展卡尔曼滤波器的实现的状态和参数估计的开发,以便确定流量参数的适当值和在边界条件下使用互补测量。 将这些结果与使用相同误差分数法所获得的结果进行比较。 当Kalman滤波器用于估计参数时,发现减压和流动系统误差。

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