Understanding Non-ideal Pipeline Flow Dynamics

我们对内部设计的流量计进行的现场设备试验，以及客户讨论的支持，突出表明客户通常希望将我们的传感器安装在次优位置（附近的弯管和热分接传感器）。这降低了我们的传感器的准确性和泄漏检测能力，因为它们不再能预测流动湍流条件。本项目试图通过使用计算流体动力学来模拟常见的流动干扰物（弯管和热分接传感器）的湍流条件来解决这个问题。从建模中获得的数据将用于增强传感器软件中运行的数学算法，从而将传感器的精度提高到理想管道运行所能达到的水平，从而使我们能够为更全面的客户安装场景提供流量计量。

Field Equipment trials of our in-house designed flowmeters, supported by customer discussions, have highlighted that customers will often want to install our sensors in sub-optimal locations (nearby bends and hot-tap sensors). This reduces the accuracy and leak detection capability of our sensors because they can no longer predict the flow turbulence conditions.This project seeks to address this by using computational fluid dynamics to model the turbulence conditions for common disruptors of flow (bends and hot-tap sensors). Data from this modelling will be used to enhance the mathematical algorithms which run within the sensor software.This will improve the sensor accuracy to levels obtainable for an ideal pipeline run, thus enabling us to offer our flow metering for a more comprehensive range of customer installation scenarios.