摘要
随着自动化和智能化油气设备得到不断地更新和应用,设备不间断运行的可靠性与油田各个生产环节密切相关。为了解决在传统维护方式下设备因过度保养和事后维护而存在的维护成本高、利用效率低等问题,文章结合西南油气田集输管线上压缩机的日常维护场景,基于生产信息化建设所采集的大量设备状态信息,运用数据挖掘技术对压缩机工况进行分析诊断,从而实现对设备的预测性维护,以达到降本减耗、提高油气集输效率的目的。
as the automatic and intelligent oil-gas equipment are constantly updated and applied, the reliability of continuous operation of the equipmentis closely related to each production processin the oilfield.Combining with the daily maintenance scene of compressor on the gathering pipeline of Southwest Oil-Gas Filed, this paper that based on a large number of equipment status information collected in production information construction has used data mining to make an analytic diagnosis on the working condition of compressor to fulfill the predictive maintenance equipment and reduce cost, consumption, improve the oil and gas gathering and transferring efficiency, in order to solve the high maintenance cost and low utilization efficiency caused by excessive maintenance and posterior maintenance of the equipment in the traditional maintenance mode.
出处
《信息通信》
2016年第10期16-18,共3页
Information & Communications
关键词
大数据分析仓库
数据挖掘
预测性维护
天然气压缩机
big data analysis warehouse
data mining
predictive? maintenance
natural gas compressor
