基于联合去噪方法的泄漏声源定位方法  

Localization of Sound Sources of Leakage Based on Joint Denoising Method

作　　者：吴奇兵 李豪杰 陈泽光 李文涛 江毅 刘可扬 陈明新 蔡宝平 葛伟凤 WU Qibing;LI Haojie;CHEN Zeguang;LI Wentao;JIANG Yi;LIU Keyang;CHEN Mingxin;CAI Baoping;GE Weifeng(CNOOC Safety&Technology Service Co.,Ltd.,Tianjin 300450,China;College of Mechanical and Electrical Engineering,China University of Petroleum,Qingdao 266580,Shandong,China;Safety&Environmental Protection Branch,CNOOC EnerTech,Tianjin 300450,China)

机构地区：[1]中海油安全技术服务有限公司,天津300450 [2]中国石油大学机电工程学院,山东青岛266580 [3]中海油能源发展股份有限公司安全环保分公司,天津300450

出　　处：《中国海洋平台》2024年第5期29-38,共10页China offshore Platform

基　　金：海油发展科技重大专项“海上石油设施本质安全一体化技术研究”(Ⅰ期)子课题“海上生产设备风险动态量化分析与控制技术研究”(编号:HFKJ-2D2X-AQ-2021-03);国家重点研发计划“深水生产系统泄漏检测及应急处置技术与装备”(编号:2022YFC2806100)

摘　　要：为了在水下含噪信号中提取管道泄漏产生的气泡声学信号并进行泄漏源定位,提出基于联合去噪方法的泄漏声源定位方法。提出改进的灰狼优化算法,能够更快更优地寻找变分模态分解(Variational Mode Decomposition,VMD)的最优参数;再提出结合参数优化的VMD算法和小波去噪算法的联合去噪方法,对水下泄漏信号进行去噪处理。为验证所提方法在实际水下环境存在水流噪声时的去噪效果,设计水下泄漏噪声干扰试验。结果表明,该方法可有效去除原始信号的噪声,最终完成信号时差的求取和泄漏源的定位。In order to extract the underwater acoustic signal generated by the pipeline leakage and locate the leakage source in noisy signals,a method of locating the leakage sound source based on a joint denoising method is proposed.An improved grey wolf optimization algorithm is proposed,which can quickly and optimally find the optimal parameters of the Variational Mode Decomposition(VMD).A joint denoising method combining VMD algorithm with parameter optimization and wavelet denoising algorithm is proposed to denoise the underwater leakage signals.To verify the denoising effect of the proposed method in actual underwater environments with water flow noise,an underwater leakage noise interference test is designed.The results show that the proposed method can effectively remove the noise of the original signal,and the signal time difference can be obtained and the leakage source can be located.

关 键 词：水下管道 气体泄漏 泄漏定位 改进的灰狼优化算法 变分模态分解 联合去噪方法 

分 类 号：TE95[石油与天然气工程—石油机械设备] TE973