摘要
天然气管道中运行压力是反映管道运行状态的重要参数,随着生产现场信息化程度不断提高,信息处理技术也广泛用于天然气管道运行管理。为了有效解决压力监控报警限值与实际运行的测量数据有较宽幅度的差值,对在差值范围内出现的异常情况因不报警、不易及时发现而导致处置延误等问题开展分析研究。根据天然气管道运行压力的数据特性,以数字滤波算法为基础对其采集的实时数据进行大数据分析处理,结合测量不确定度评定方法,建立压力的动态趋势模型,用所选测量点的历史数据验证动态趋势模型建立的方法和符合率;利用动态趋势模型进行管道输送实时监控,以提高管道运行压力预警的灵敏度和准确性,推进管道运行管理向程控化、智能化发展。
Operating pressure of natural gas pipelines are important parameters to reflect operation state of pipeline.Information processing technology has been wildly applied in the operation and management of natural gas pipeline with the continuous improvement of informationization degree of production field.In order to effectively solve the problem that when the difference between pressure monitoring alarm limitation and actual operating measurement value is relatively wide,the abnormal conditions among the range of the difference cannot cause alarm,cannot be found easily and lead to disposal delay,analysis and study are conducted.According to the data characteristics of natural gas pipeline operation pressure,and based on the digital filtering algorithm,the real-time data collected by operation pressure are analyzed and processed.A dynamic trend model is set up combined with the evaluation method of measurement uncertainty,and the historical data of selected measurement points is used to verify the establishment method and coincidence rate of the model.The model is used to conduct realtime monitoring on pipeline transportation to improve the sensitivity and accuracy of pipeline operation pressure and make the operation management easy to control and be intelligent.
作者
傅敏
宋晓健
范劲松
张建刚
李彭
FU Min;SONG Xiaojian;FAN Jinsong;ZHANG Jiangang;LI Peng(Chongqing Gas Mine of Southwest Oil and Gas Field Company,CNPC)
出处
《油气田地面工程》
2019年第A01期154-158,共5页
Oil-Gas Field Surface Engineering
关键词
天然气管道
运行监控
数据处理
数字滤波算法
动态趋势模型
应用与评价
natural gas pipeline
operation and monitoring
data processing
digital filtering algorithm
dynamic trend model
application and evaluation
