摘要
智能油田建设的发展对油井生产管理提出了更高的要求,需要研发与之相适应的智能化运行管理支撑系统。从适应未来智能油田发展需求出发,将态势感知技术引入油田开发领域,提出了构建基于多源信息融合的油井态势感知系统。首先,分析了传统油井生产管理方式的不足;然后,给出了该系统的总体结构和主要功能,主要包括油井工况诊断、产液量计量、动液面计算、智能变频优化控制、生产趋势预测等功能。在此基础上,结合油气生产领域的技术现状,深入研究了油井态势感知系统所需要的几项关键技术,为系统构建提供相应的理论依据和技术支持,从而实现对油井运行状态的全面掌控和生产趋势的准确预判。该系统的研究、设计对油田生产具有重要的指导意义。
The development of intelligent oilfield construction puts forward higher requirements for oil well production management and it is necessary to research an intelligent operation management support system that is compatible with it.On the basis of the needs of future intelligent oilfield development,the situational awareness technology is introduced to oil well development,and an oil well situational awareness system based on multi- source information fusion is proposed.Firstly,the deficiency of traditional oil well production management is analyzed,and then the overall architecture of the system and the main functions are given,mainly including the oil well condition diagnosis,liquid producing quantity measurement,calculation of dynamic liquid level,intelligent optimization control,production trend prediction,etc.On this basis,combining with the technology status in the field of oil and gas production,several key techniques for oil well situational awareness system are researched,and provides theoretical basis and technical support for the system construction.The research has important guiding significance to oilfield production.
作者
张立婷
李世超
郑东梁
石硕
曾鹏
ZHANG Liting;LI Shichao;ZHENG Dongliang;SHI Shuo;ZENG Peng(Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China)
出处
《自动化仪表》
CAS
2019年第9期52-54,共3页
Process Automation Instrumentation
关键词
多源信息融合
油井生产管理
态势感知
关键技术
工况诊断
产液量
动液面
智能变频
Multi- source information fusion
Oil well production management
Situational awareness
Key technology
Working condition diagnosis
Liquid yield
Dynamic liquid level
Intelligent frequency conversion
