Leak detection and location for natural gas pipelines based on acoustic waves

LIU Cuiwei; LI Xuejie; LI Yuxing; LIU Guangxiao; QIAN Haocheng; CAO Pengfei

doi:10.3969/j.issn.0438-1157.2014.11.060

您当前的位置：

首页 >

文章列表页 >

Leak detection and location for natural gas pipelines based on acoustic waves

更新时间：2025-12-10

- Leak detection and location for natural gas pipelines based on acoustic waves
- CIESC Journal Issue 11, Pages: 4633-4642(2014)
- 作者机构：
  
  中国石油大学储运与建筑工程学院,山东,青岛,266580
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2014.11.060
  CLC： E973TE88
- Online First：05 November 2014，
  
  Published：05 November 2014
- 稿件说明：
移动端阅览
LIU Cuiwei, LI Xuejie, LI Yuxing, et al. Leak detection and location for natural gas pipelines based on acoustic waves[J]. CIESC Journal, 2014, (11): 4633-4642.
DOI：

LIU Cuiwei, LI Xuejie, LI Yuxing, et al. Leak detection and location for natural gas pipelines based on acoustic waves[J]. CIESC Journal, 2014, (11): 4633-4642. DOI： 10.3969/j.issn.0438-1157.2014.11.060.

摘要

为研究输气管道音波法泄漏检测技术的基本原理和应用方法

从而为音波法泄漏检测技术在输气管道上的推广使用提供理论和实践基础

首先根据现场实验工况建立仿真模拟模型

对泄漏音波产生机理进行分析与验证;其次根据仿真模拟结果完成现场实验

并对现场实验数据进行了时频联合分析

包括短时傅里叶变换、小波变换、Hilbert-Huang变换和广义S变换

提取可用于远距离传播的音波信号特征;然后应用可远距离传播的信号特征

对长距离输气管道的泄漏进行检测

取得了较好的效果;最后采用提取的音波特征量进行泄漏定位

定位精度高.研究结果表明

通过信号处理得到泄漏音波信号特征可以用于长距离输气管道泄漏检测.

Abstract

In order to study the principle and technologies of acoustic leak detection for natural gas pipelines

an acoustic method is applied. A simulation model is established based on the field conditions to analyze and verify the generation mechanism of leakage acoustics. The field experiments are carried out based on the simulation results and measured signals are processed by joint time-frequency analyses including short time Fourier transform

wavelet transform

Hilbert-Huang transform and Generalized S transform to extract the characteristics that propagate a long distance. The characteristics are applied to detect the leak of long distance pipeline with satisfactory results. Finally the characteristics are used to locate leakages. The results show that the characteristics extracted by signal-processing from leakage acoustic signals can be applied to leak detection for long-distance natural gas pipelines.

关键词

Keywords

references

Views

637

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Leak localization method for gas pipeline based on TPE-XGBoost modeling

Simulation and optimization of battery performance based on the electrochemical model

An adaptive variable-step homotopy-based algorithm for process simulation with cyclic streams

Study on online detection method of particulate matter in natural gas pipeline based on microwave technology

Intrusion detection of industrial control system based on grey wolf optimization integrated random black hole

Related Author

JIA Wenlong

CHEN Junzhe

LI Changjun

LIU Yong

XIE Wen

ZHAO Jing

DONG Shuchen

LI Gaoyang

Related Institution

College of Petroleum and Natural Gas Engineering, Southwest Petroleum University

School of Petroleum Engineering, Chongqing University of Science and Technology

Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power, College of Environmental and Chemical Engineering, Shanghai University of Electric Power

School of Chemical Engineering, East China University of Science and Technology

State Key Laboratory of Chemical Engineering, Zhejiang University

⁰