Optical fiber negative pressure wave pipeline leakage monitoring system

2017 ◽  
Vol 46 (7) ◽  
pp. 722002
Author(s):  
赵 林 Zhao Lin ◽  
王纪强 Wang Jiqiang ◽  
李 振 Li Zhen
Author(s):  
Zhuang Li ◽  
Shijiu Jin ◽  
Likun Wang ◽  
Yan Zhou

The petroleum leakage has been a serious problem these years in China. The leakage, mostly caused by human destruction, lasting a short time with a large amount of loss, is not only an economic loss for the petroleum company, but environmental pollution, a public issue. Thus a monitoring system, which can identify the leakage and locate the leak point in real time, is required. One of the challenges is the sensitivity of the system. The system is expected to respond quickly to locate the point so that the security personnel can find and mend the orifice in time. Another challenge is the accuracy of the locating result. Because of the features of Chinese petroleum: high viscosity, high wax content and high freezing point, the sound wave speed in the oil is not a constant along the pipeline and the leak point calculated by the traditional negative pressure wave method are invalid. In this paper, a modified negative pressure wave method was put forward according to the variation of the wave speed. A wavelet-based algorithm applied to calculate the leak point gives fairly satisfied results. The data acquisition, signal processing and the structure of the pipeline leakage monitoring system (PLMS) were analyzed. The system has played a big role on the pipeline network in Shengli Oil Field and long pipelines of East China Oil Bureau.


2017 ◽  
Vol 865 ◽  
pp. 580-585 ◽  
Author(s):  
Chen Ding ◽  
Guo Dong Wu ◽  
Liu Peng ◽  
Guang Ming Cao ◽  
Gou Zhao ◽  
...  

Negative pressure wave positioning method is a technique for pipeline leakage detection and location, which is widely used in various fields. Wireless sensor technology has the advantages of low power consumption, easy networking and high positioning accuracy, which is the preferred technology for wireless location. This paper discusses a pipeline monitoring system based on negative pressure wave and wireless sensor. This system combines the advantages of high positioning accuracy, wide application range and small nodal volume. In order to prove the practicality, reliability and accuracy of this system, experimental results and comparison with other method are given, positioning error within 5%.


Author(s):  
Dongliang Yu ◽  
Laibin Zhang ◽  
Liang Wei ◽  
Zhaohui Wang

The appearance of a rupture, leak or damage in the long-distance oil & gas pipeline, which could cause a leak, usually generates a non-linear & chaotic negative pressure wave signal. By properly interpreting the negative pressure wave signature, it is possible to detect a leak along the pipeline. Most traditional noise reduction methods are established based on the linear system, which are not in line with the actual non-linear & chaotic situation. Therefore, the weak negative pressure wave signals, generated by small leaks, are often filtered out and cause false alarm and failure alarm. In order to resolve the problem, this paper uses the non-linear projective algorithm for noise reduction. First, the weak negative pressure wave signal series would be reconstructed using delay coordinates, in the high dimensional phase space, the background signal, the negative pressure wave signal and the noise signal are separated into different sub-spaces. Through the reconstruction of sub-spaces, the weak pressure wave signal can be isolated from the background signal as well as the random noise component reduced.


2013 ◽  
Vol 313-314 ◽  
pp. 1225-1228 ◽  
Author(s):  
Chun Xia Hou ◽  
Er Hua Zhang

Pipeline leak lead to huge economic losses and environmental pollution. Leak detection system based on single sensor negative pressure wave often causes false alarm. In this paper the double sensor method is adopted to exclude false alarm by determining the propagation direction of the pressure wave. In order to remove the inverse coherent interference caused by pump running, the phase difference of primary low frequency component is used to identify the sign of the time delay between the double sensors. The experiment shows the mothod is effective.


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