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传统清管器跟踪定位技术受管道及周围环境条件限制不具有通用性,而基于差压法的清管器跟踪定位技术因所采集的压力信号变化灵敏、不受外界因素影响等优势获得了越来越多的关注,但针对该技术定位算法的研究较少。基于差压法的清管器在线跟踪定位技术,以中国石油管道公司长沙输油气分公司武汉输油站清管作业为例,提出了基于压力波的清管器在线定位算法。该算法的实现分为3步:1分析清管过程中采集的压力信号,将其划分5种信号状态,包括压力平稳状态、清管器通过阀室状态、压力升高状态、压力降低状态及清管器卡堵状态;2采用小波奇异性检测和相关性分析的方法实现不同压力信号状态的识别;3确定清管器在线定位算法,包括正常运行定位算法和卡堵定位算法。利用实采数据模拟清管过程验证该算法的有效性,结果表明该算法定位准确,可实现清管器清管的全过程监测。
The traditional pig tracking and positioning technology is not universal due to the restrictions of the pipeline and the surrounding environment, while the pigging tracking and positioning technology based on the differential pressure method is more sensitive to changes in the collected pressure signals and is not affected by external factors More and more attention, but less research on the technology of location algorithm. Based on the differential pressure method of on-line tracking and locating technology of pig, taking the pigging operation of Wuhan Gas Station of China National Petroleum Pipeline Company Changsha Oil & Gas Branch as an example, an online positioning algorithm of pig based on pressure wave was proposed. The implementation of this algorithm is divided into three steps: (1) Analyzing the pressure signals collected in the process of pigging, and dividing them into five kinds of signal states, including steady state of pressure, state of valve chamber, pressure rise and pressure drop Pigging state of the pig; 2 using wavelet singularity detection and correlation analysis method to identify the status of different pressure signals; 3 to determine the pig online positioning algorithm, including the normal operation of the positioning algorithm and the plugging positioning algorithm. The real data was used to simulate the pigging process to verify the effectiveness of the algorithm. The results show that the algorithm is accurate and can realize the whole process of pig pigging monitoring.