小波降噪算法在CO<sub>2</sub>管道中的泄漏精确定位

陈兵; 祖江涛; 毕鉴; 王香增

doi:10.16152/j.cnki.xdxbzr.2025-05-002

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小波降噪算法在CO₂管道中的泄漏精确定位

碳捕集、利用与封存 | 更新时间：2025-10-31

- 小波降噪算法在CO₂管道中的泄漏精确定位
- The precise location of CO₂ pipeline leakage based on wavelet noise reduction
- 西北大学学报（自然科学版） 2025年55卷第5期页码：956-969
- 作者机构：
  
  1.西安石油大学机械工程学院，陕西　西安　710065
  2.陕西延长石油〔集团〕有限责任公司，陕西　西安　710000
- 作者简介：
  
  陈兵，女，教授，从事CCUS管输安全技术、油气田地面集输技术和石油石化装备腐蚀与防护技术研究，bchen@xsyu.edu.cn。
- 基金信息：
  
  国家重大工程延长石油碳捕集和驱油封存一体化示范项目子项基金资助项目(ycsy2015ky-B-02);陕西省重点研发计划(2022SF-233);西安石油大学研究生创新项目立项基金资助项目(YCS23114184)
- DOI：10.16152/j.cnki.xdxbzr.2025-05-002
  中图分类号： X937
- 收稿：2025-01-13，
  
  纸质出版：2025-10-25
- 稿件说明：
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陈兵, 祖江涛, 毕鉴, 等. 小波降噪算法在CO₂管道中的泄漏精确定位[J]. 西北大学学报（自然科学版）, 2025,55(5):956-969.

CHEN Bing, ZU Jiangtao, BI Jian, et al. The precise location of CO₂ pipeline leakage based on wavelet noise reduction[J]. Journal of northwest university (natural science edition), 2025, 55(5): 956-969.
陈兵, 祖江涛, 毕鉴, 等. 小波降噪算法在CO₂管道中的泄漏精确定位[J]. 西北大学学报（自然科学版）, 2025,55(5):956-969. DOI： 10.16152/j.cnki.xdxbzr.2025-05-002.

CHEN Bing, ZU Jiangtao, BI Jian, et al. The precise location of CO₂ pipeline leakage based on wavelet noise reduction[J]. Journal of northwest university (natural science edition), 2025, 55(5): 956-969. DOI： 10.16152/j.cnki.xdxbzr.2025-05-002.

摘要

负压波法适合碳捕获、利用与封存（carbon capture utilization and storage，CCUS）技术的CO

管道泄漏定位检测，但超临界CO

管输周边环境及管内高压产生的噪声，影响了定位的准确性。为此，选择小波变换对含噪声的压力信号进行分解降噪，采用TGNET模拟软件建立CO

管道泄漏模型，通过对比Botros的激波管泄放试验验证了泄漏模型的可行性。使用该泄漏模型对含噪声的压力信号进行小波降噪，再对降噪后的数据进行压差转化和互相关分析，最终得到各组压力传感器接收到压力信号的具体时间差。该泄漏模型还应用到了延长油田360 000 t/a超临界CO

管输方案，对人为设定的泄漏口压力噪声进行小波降噪和互相关分析。研究表明，经小波降噪后的压力信号更为稳定、精确，能够得到准确的时间差，为后续负压波法精确定位泄漏点位置提供了依据。

Abstract

Negative pressure wave method is suitable for CO

pipeline leakage location detection in CCUS technology

but the noise generated by the surrounding environment and the high pressure in the supercritical CO

pipeline affects the positioning accuracy. In this paper

the wavelet transform was applied to decompose and denoise the pressure signal with noise

and the CO

pipeline leakage model was established by TGNET simulation software

the feasibility of the leakage model was verified by comparing the shock tube discharge test of Botros. The leakage model was used to denoise the pressure signal with noise using wavelet denoising method

then

the denoised data was processed using the pressure difference conversion and cross-correlation analysis. Finally

the specific time difference of the pressure signal received by each group of pressure sensors was obtained. The leakage model was also applied to the 360 000 t/a supercritical CO

pipeline transportation scheme in Yanchang Oilfield

and the wavelet noise reduction and cross-correlation analysis of artificially set leakage port pressure noise were carried out. The research shows that the pressure signal

after wavelet denoising is more stable and accurate

and the accurate time difference can be obtained

which provides a basis for the subsequent negative pressure wave method to accurately locate the leakage point.

关键词

Keywords

references

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DOI：10.16152/j.cnki.xdxbzr.2025-05-002

摘要

Abstract

关键词

Keywords

references

小波降噪算法在CO₂管道中的泄漏精确定位

The precise location of CO₂ pipeline leakage based on wavelet noise reduction