Acoustic emission analysis for internal valve leaks in gas and liquid pipelines

Sharifudin, Amirul Izzuddin (2022) Acoustic emission analysis for internal valve leaks in gas and liquid pipelines. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Valve is the essential component in pipeline structures which is widely used in oil and gas industries. Any damage to the valve will not only affect the whole pipeline structure but also the safety of the employees. Internal leakage in the valve is one of the most major problems in the industry and the inspection of this problem is very complex. In many cases, we need to minimise the shut down time frame in order to prevent losses in production. Therefore, an inspection technique that can be applied without dismantling the valves is preferable in industry. At the same time, Acoustic Emission technique is very effective in detecting internal leakage without dismantling the valves. However, this method requires advanced skills and knowledge on acoustic wave propagation. The acoustic emission has the feasibility for the leak inspection but the procedures and standards are still in the black box. Therefore, the fundamental study for acoustic emission is very important in order to perform a proper analysis on any structure. The aim of this study is to increase fundamental knowledge of Acoustic Emission technique to identify the suitable parameters to indicate internal valve leaks and analyse the parameters for indication of severity level in internal valve leaks. A total of 10 valves consisting of 2 gas valves and 8 water valves were analysed in this study. The data processing was conducted using LabView software to filter and plot the graph for analysis. The result from the analysis shows that amplitude and energy are suitable to be used as parameters for internal valve leaks because there are significant changes in both parameters when internal leaks occur. Amplitude and energy are also able to be used in severity analysis by comparing the differences between data from the valve’s body and the pipeline. The accuracy of severity analysis will be able to increase by using the average of several data from a sensor for future study.

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