摘要
管道输送是石油工业中常见的运输方式,其安全监测受国内外研究者的广泛关注,人工侵入事件的识别与报警是其重要研究方向之一。基于光纤传感技术,可以采用同沟铺设的光缆对管道沿线进行监测,获得包括侵入事件在内的各种信号,然而传统分布式光纤震动传感器记录的信号缺少相位信息,无法定位事件。在此使用分布式光纤声波传感器,利用10 km埋地光缆记录了两个不同场地的人工侵入事件信号,采用长短窗比值法识别出这些信号。依据多道时差技术进行网格搜索定位侵入事件,根据定位结果对事件危险性进行评估。试验初步探索了利用分布式光纤声波传感技术开展侵入事件的识别与报警的可行性。
Pipeline transportation is the most common means used in the petroleum industry, and its safety monitoring has attracted wide attention from the domestic and foreign researchers. The detection and alarm of intrusion events is one of the most important objects of pipeline research. Based on the optical fiber sensing technology, the pipeline can be monitored with the optical cables in the same trench to acquire various signals including intrusion events. However, no phase information is provided in the signals recorded by the traditional distributed fiber-optic vibration sensor, and thus the event cannot be located. Herein, the intrusion event signals at two different places along the 10 km buried pipeline were recorded with the distributed fiber-optic vibration sensor, and the signals were identified with the STA/LTA method. Based on the arrival time differences, the events were located through grid search, and the hazards of the event were evaluated according to the locating result. Additionally, the feasibility of the detection and alarm of intrusion event with the distributed optical fiber acoustic sensing technology was explored preliminarily by tests.
作者
林融冰
曾祥方
包丰
谢军
宋政宏
张宫博
LIN Rongbing;ZENG Xiangfang;BAO Feng;XIE Jun;SONG Zhenghong;ZHANG Gongbo(Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences//State Key Laboratory of Geodesy and Earth's Dynamics;College of Earth and Planetary Sciences,University of Chinese Academy of Sciences;Key Laboratory of Computational Geodynamics,Chinese Academy of Sciences(CAS))
出处
《油气储运》
CAS
北大核心
2021年第5期545-553,560,共10页
Oil & Gas Storage and Transportation
基金
国家自然科学基金资助项目“基于分布式光纤声波传感器系统的沉积盆地城市高分辨率浅层结构成像”,41974067。
关键词
管道监测
侵入事件
信号识别
长短窗比值法
信号定位
pipeline monitoring
intrusion event
signal recognition
STA/LTA
signal localization
