Detecting Blockages and Valve Status in Natural Gas Pipelines

Detecting Blockages and Valve Status in Natural Gas Pipelines
复制标题

检测天然气管道中的堵塞和阀门状态

DOI:
10.1115/ipc2010-31247
复制
发表时间:
2010
影响因子:
2.4
通讯作者:
Chris Lewis
Chris Lewis
中科院分区:
工程技术3区
文献类型:
--
作者:
Xuesong Wang;B. Lennox;G. Short;J. Turner;K. M. Lewis;Z. Ding;K. Dawson;Chris Lewis

文献摘要

被引文献

相似文献

本文将提供一种新的声反射法,已开发的功能,如工业气体填充管道的堵塞和泄漏检测的概述。该技术的基本概念是将声脉冲注入管道,然后测量该信号沿管道沿着长度传播时产生的反射。无论管道的内部横截面积在哪里变化,都会产生反射。通过了解气体中的声速,可以确定飞行时间,并且可以识别横截面积变化的位置。该技术是非侵入性的,可用于准确检测许多管道特征,如孔,堵塞和其他物体,包括阀门,甚至焊接接头。本文将介绍实验室试验和现场试验的结果,这些结果将表明该技术在检测和定位长度超过10km且含有高压气体的工业管道中的堵塞和阀门状态方面的准确性。特别是,将提供测试的细节,其中该方法用于识别含有高压气体的活动海上管道中的阀门状态。将讨论与检测含有流动气体的管道中的异常相关的困难,并将描述合适的信号处理方法,这些方法应使该技术能够作为海上天然气管道的连续监测工具应用。
This paper will provide an overview of a novel acoustic reflectometry method that has been developed to detect features, such as blockages and leakages in industrial gas-filled pipelines. The basic concept of the technique is to inject a pulse of sound into a pipeline and then measure the reflections produced as this signal travels along the length of the pipe. Wherever the internal cross sectional area of the pipeline changes then there will be a refection produced. With knowledge of the speed of sound in the gas, the time of flight can be determined and the location of the change in cross sectional area can be identified. The technique is non-invasive and can be used to accurately detect many pipeline features, such as holes, blockages and other objects including valves and even welding joints. The paper will present the results from laboratory tests and field trials which will show the accuracy of the technique in detecting and locating blockages and valve status in industrial pipelines with lengths exceeding 10km and containing high pressure gas. In particular, details of a test where the method was used to identify valve status in a live offshore pipeline, containing high pressure gas will be provided. The difficulties associated with detecting abnormalities in pipelines containing flowing gas will be discussed and suitable signal processing methods will be described which should enable the technique to be applied as a continuous monitoring tool for offshore gas pipelines.© 2010 ASME