气井井下油管泄漏地面声波检测试验研究

doi:10.16265/j.cnki.issn1003-3033.2017.02.022

中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (2): 121-126.doi: 10.16265/j.cnki.issn1003-3033.2017.02.022

气井井下油管泄漏地面声波检测试验研究

刘迪¹, 樊建春¹ 教授, 梁政伟¹, 张喜明¹, 吕宁贻¹, 文敏²

1 中国石油大学(北京)机械与储运工程学院,北京 102249
2 中海油研究总院,北京 100027

收稿日期:2016-11-21 修回日期:2017-01-04 出版日期:2017-02-28 发布日期:2020-11-22
通讯作者: 樊建春(1964—),男,陕西汉中人,教授,主要从事安全检测与监控、石油石化安全技术、机械设备状态监测与故障诊断等方面的研究。E-mail:fjc688@126.com。
作者简介:刘迪 (1991—),男,陕西汉中人,博士研究生,研究方向为安全监测与智能诊断工程。E-mail:liudi1521087@163.com。
基金资助:
中海油综合科研项目(YXKY-2015-ZY-09)。

Experimental study on ground detection of gas well down-hole tubing leak based on acoustic method

LIU Di¹, FAN Jianchun¹, LIANG Zhengwei¹, ZHANG Ximing¹, LYU Ningyi¹, WEN Min²

1 College of Mechanical and Transportation Engineering, China University of Petroleum-Beijing 102249, China
2 China National Offshore Oil Corp. Research Institute, Beijing 100027, China

Received:2016-11-21 Revised:2017-01-04 Online:2017-02-28 Published:2020-11-22

摘要/Abstract

摘要： 为探究井下油管泄漏声波法检测技术及方法,开展油管泄漏室内试验。在分析油管泄漏声波产生机制的基础上,提出油管泄漏声波地面检测技术及其实施方式。搭建室内全尺寸油管泄漏检测系统,并进行一系列模拟试验;在时频域内分析试验采集的声波信号,结果表明,油管泄漏声波信号时域绝对均值(AMV)及有效值(RMS)特征随着泄漏孔径及压差的增加而增大;该信号是宽频信号,其能量主要集中在1~130 Hz;检测信号的时域特征AMV和RMS、频域分布特征、自相关分析主峰值等,可作为判断泄漏发生的特征量;利用自相关分析能实现单探头对井下油管泄漏的检测与定位,具有较高精度。

关键词: 井下油管, 泄漏声波, 自相关分析, 特征频率, 绝对均值(AMV), 有效值(RMS)

Abstract: In order to research the method of leak detection for down-hole tubing based on acoustic method, experiments were conducted after designing and setting up the full-size tubing leak system. On the basis of analyzing leak acoustic waves generating mechanism of tubing strings, a ground detection mechanism and an implementation way were presented. The signals measured in the experiments were analyzed in time and frequency domain. The results indicates that the time domain characteristics AMV and RMS of leaking acoustic wave signals are increasing with the increase in both orifice diameter and pressure difference,that the frequency domain distribution of leak acoustic waves is widely and mainly centralized in 1-130 Hz,that the main peak value of auto-correlation coefficients as well as the ASL and RMS characteristics and the frequency domain distribution of detecting signals can be used to judge the occurrence of leakage,and that using auto-correlation analysis the detection and localization of down-hole tubing leakage can be achieved with a high accuracy.

Key words: down-hole tubing, leakage acoustic waves, auto-correlation analysis, characteristic frequency, absolute mean value (AMV), root mean square (RMS)

中图分类号:

X924.2

刘迪, 樊建春, 梁政伟, 张喜明, 吕宁贻, 文敏. 气井井下油管泄漏地面声波检测试验研究[J]. 中国安全科学学报, 2017, 27(2): 121-126.

LIU Di , FAN Jianchun , LIANG Zhengwei , ZHANG Ximing , LYU Ningyi , WEN Min. Experimental study on ground detection of gas well down-hole tubing leak based on acoustic method[J]. China Safety Science Journal, 2017, 27(2): 121-126.

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气井井下油管泄漏地面声波检测试验研究

Experimental study on ground detection of gas well down-hole tubing leak based on acoustic method

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