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基于IEEMD-IGCC算法的管道泄漏点定位技术研究

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现用于检测油气管道发生泄漏情况的声波检测法有抗噪声能力弱、定位误差大的缺点,因此提出了一种基于IEEMD-IGCC算法的管道泄漏点定位方法.首先,在EEMD分解算法的基础上,通过计算每一次集合平均得到本征模态分量的自相关函数,判断该模态是否含有噪声分量,作为是否继续添加高斯白噪声的依据;随后,基于不同源目标进行广义二次互相关计算,进而获得时延值;最后,根据时差定位公式确定泄漏点位置.结果表明:经IEEMD算法的泄漏信号提取效果较好,与峭度系数的有效信息选取结果一致;重构信号不仅信噪比大、均方误差小,且计算成本大幅降低;IGCC算法下的时延值计算准确,减小了单次误差较大的可能性;IEEMD-IGCC算法对于不同工况下的适应性较好,最大绝对定位误差不超过30 m,极大提高了泄漏点定位精度.
Research on Pipeline Leakage Point Positioning Technology Based on IEEMD-IGCC Al-gorithm
The acoustic detection method currently used for detecting leakages in oil and gas pipelines has the disadvantages of weak noise resistance and large positioning errors.Therefore,a pipeline leakage point positioning method based on the IEEMD-IGCC algorithm is proposed.First,on the basis of the EEMD decomposition algorithm,the autocorrelation function of the eigenmode component is ob-tained by calculating the average of each set to determine whether the mode contains noise component,which is judged as the basis for whether to continue to add Gaussian white noise.Then,the generalized quadratic cross correlation is calculated based on different source targets,and the delay value is obtained.Finally,the location of the leakage point is determined according to the time-difference positioning formula.The results show that the leakage signal extracted by the IEEMD algorithm has a good effect,which is consistent with the effective information selection of the kurtosis coefficient.The reconstructed signal not only has a high signal-to-noise ratio and small mean square error,but also greatly reduces the calculation cost.The delay value calculated by the IGCC algorithm is accurate,and the possibility of a large single error is reduced.The IEEMD-IGCC algorithm has good adaptability to different working conditions,the maximum absolute positioning error is no more than 30 m,which greatly improves the positioning accuracy of leakage points.

oil and gas pipelinesleakage pointIEEMDIGCCpositioningadaptability analysis

李伟

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大庆油田有限责任公司第二采油厂

油气管道 泄漏点 IEEMD IGCC 定位 适应性分析

2024

油气田地面工程
大庆油田有限责任公司

油气田地面工程

影响因子:0.273
ISSN:1006-6896
年,卷(期):2024.43(6)