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LEAK DETECTION USING DISTRIBUTED TEMPERATURE SENSING: AN IMPROVED CALCULATION METHOD

机译:利用分布式温度检测进行泄漏检测:一种改进的计算方法

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This paper presents an efficient calculation to determine the transient heat transfer in ground surrounding a liquid pipeline. This improved calculation method was applied to support a feasibility assessment regarding implementation of Distributed Temperature Sensing (DTS) fibre optic systems for detection of leaks on an oil pipeline spanning long distances and varied geological conditions. With DTS, a leak or rupture could be detected if a portion of the sensor that is soaked is heated or cooled by leaked fluid. In many scenarios the temperature difference of a small leak may approach the sensing limits of the technology; calculating this limit requires an accurate understanding of the expected thermal characteristics of the fluid and soil surrounding the pipeline to identify where the technology is suitable and to calibrate accordingly. The method discussed in this paper was developed for use in heavy oil pipelines, for which changes in temperature have a large effect on the fluid viscosity, and therefore on frictional pressure losses. The model predicts the temperature profile in the soil surrounding a pipeline, including a number of transient effects. The model and results obtained are useful to identify optimal placement of a DTS cable, given a target size of detectable leak, time of year, and a number of parameters specific to the pipeline design. Importantly, this approach addresses changing geological conditions along the length of a pipeline, allowing an assessment of coverage and performance year round for the line under the most conservative case.
机译:本文提出了一种有效的计算方法来确定液体管道周围地面的瞬态传热。该改进的计算方法被用于支持有关实施分布式温度传感(DTS)光纤系统的可行性评估,该系统用于检测跨越长距离和不同地质条件的输油管道上的泄漏。使用DTS,如果浸入的传感器的一部分被泄漏的流体加热或冷却,则可以检测到泄漏或破裂。在许多情况下,小泄漏的温差可能会接近技术的感测极限。计算此极限值需要准确了解管道周围流体和土壤的预期热特性,以识别该技术适合的位置并进行相应的校准。本文讨论的方法是为重油管道开发的,温度变化对流体粘度有很大影响,因此对摩擦压力损失也有很大的影响。该模型可以预测管道周围土壤的温度曲线,包括许多瞬态效应。给定可检测泄漏的目标大小,一年中的时间以及针对管道设计的许多参数,获得的模型和获得的结果可用于识别DTS电缆的最佳位置。重要的是,这种方法解决了沿管道长度变化的地质条件,从而允许在最保守的情况下评估管道的全年覆盖率和性能。

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