辽宁工程技术大学学报（自然科学版）2012，Vol.31Issue(4)：445-451,7.
煤层气田地面集输系统的气井生产状态自动判识
Automatic discriminant analysis of gas-well production status in an gas collection system at coal-bed methane field
摘要
Abstract
In a multi-inlet passageway and scalable gas collection system, there are still some problems of low efficiency and inaccurate data in gas-well monitoring and management. This paper proposes a new discrimination method of gas-well production status based on temporal data sequence analysis to automate the determination of the gas-well measurement. Firstly, an adaptive autoregressive model (AR) is applied as a filter to exactly determine the switch time between two gas wells. Secondly, the Jensen-Shannon divergence (JSD) is used to discriminate the production status of gas wells and obtain the operating state of the equipment. The field test results in a CBM field show that the rotation measurement time and the production status can be accurately discriminated, even in a complex production condition. Therefore, its application can reduce labor force for system patrolling or manual logging in field and improve the management efficiency.关键词
煤层气/集输工艺/阀组/轮换计量/自适应AR模型/JSD方法/气井生产状态/自动判识Key words
coal-bed methane/ gas collection technology/ control valve bank/ rotation measurement/ adaptive autoregressive model/ Jensen-Shannon divergence/ gas-well production status/ automatic discrimination分类
能源科技引用本文复制引用
张晓萌,吕泽锋,陈仕林,芮小平,宋现锋,琚宜文,侯泉林..煤层气田地面集输系统的气井生产状态自动判识[J].辽宁工程技术大学学报（自然科学版）,2012,31(4):445-451,7.基金项目
国家科技重大专项课题资助项目(2011ZX05039-004 （）
2011ZX05039-003) （）
