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A PETROLEUM PIPELINES LEAKAGE MONITORING SYSTEM

机译:石油管道泄漏监测系统

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摘要

The petroleum leakage has been a serious problem these years in China. The leakage, mostly caused by human destruction, lasting a short time with a large amount of loss, is not only an economic loss for the petroleum company, but environmental pollution, a public issue. Thus a monitoring system, which can identify the leakage and locate the leak point in real time, is required. One of the challenges is the sensitivity of the system. The system is expected to respond quickly to locate the point so that the security personnel can find and mend the orifice in time. Another challenge is the accuracy of the locating result. Because of the features of Chinese petroleum: high viscosity, high wax content and high freezing point, the sound wave speed in the oil is not a constant along the pipeline and the leak point calculated by the traditional negative pressure wave method are invalid. In this paper, a modified negative pressure wave method was put forward according to the variation of the wave speed. A wavelet-based algorithm applied to calculate the leak point gives fairly satisfied results. The data acquisition, signal processing and the structure of the pipeline leakage monitoring system (PLMS) were analyzed. The system has played a big role on the pipeline network in Shengli Oil Field and long pipelines of East China Oil Bureau.
机译:近年来,石油泄漏一直是中国的一个严重问题。泄漏主要是由人为破坏造成的,持续时间短且损失巨大,不仅对石油公司造成经济损失,而且对环境污染也是一个公共问题。因此,需要一种能够识别泄漏并实时定位泄漏点的监视系统。挑战之一是系统的敏感性。预计该系统将快速响应以定位该点,以便安全人员可以及时找到并修复孔口。另一个挑战是定位结果的准确性。由于中国石油的特性:高粘度,高蜡含量和高凝固点,沿管道的油中声波速度不是恒定的,并且传统负压波法计算的泄漏点是无效的。根据波速的变化,提出了一种改进的负压波法。应用于计算泄漏点的基于小波的算法给出了相当满意的结果。分析了管道泄漏监测系统(PLMS)的数据采集,信号处理和结构。该系统在胜利油田的管道网络和华东石油局的长输管道中发挥了重要作用。

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