基于声学激励的天然气管道水合物凝聚监测及定位技术
[Abstract]:With the rapid development of global economy and the continuous increase of population, the global energy demand and consumption are increasing. The use of natural gas produces less pollution and more energy than other fossil fuels. Pipeline transportation is the most common method for transporting natural gas in industry, so pipeline safety is very important. Natural gas pipelines usually have the characteristics of large diameter, long distance and high pressure. When there is a low temperature and high pressure environment in the gas pipeline at the same time, the natural gas hydrate is easy to form, which increases the risk of pipeline blockage, and then seriously affects production and leads to safety accidents. Therefore, how to remove hydrate condensation effectively and timely is an urgent problem in industry. At present, the industry mainly relies on five methods for gas hydrate blocking pipeline: dehydration method, pressure method, heating method, mechanical method and chemical method. In order to solve the above problems, the gas hydrate agglomeration monitoring and location technology based on acoustic excitation is studied in this paper. The main work is as follows: 1. The propagation characteristics of acoustic wave in the pipeline are studied. 2. A gas hydrate (leakage) safety detection system in natural gas pipeline is constructed. The software is mainly based on LabVIEW, system, which consists of loudspeakers, microphones, power amplifiers and multi-function data acquisition cards. According to the existing experimental conditions, a series of simulation models are established by using COMSOL multi-physical field simulation software. The simulation results verify the principle and feasibility of the experiment. 4. A series of experiments are carried out on the experimental pipeline by using the detection system. Comparing the experimental results with the simulation results, the two results are in good agreement with each other. It is further proved that this method can locate the abnormal situation in the pipeline, and the accuracy of the localization is high. 5. In order to distinguish the reflected signals better, A detection signal feature extraction method based on wavelet packet is proposed. The results of signal analysis and feature extraction show that there are obvious differences between the characteristic vectors of the reflected signals caused by hydrate condensation and leakage, which lays a foundation for subsequent pattern recognition.
【学位授予单位】:天津科技大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TE88
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