摘要
潜油电泵的智能选型对浅海油田的石油开采具有现实意义。在智能选型系统中建立相关的计算模型并完成电机表面流速、挂泵深度、井底流压等多项参数的计算。利用计算机进行数值计算、绘图及数据存储,将石油勘探、钻井、完井、采油过程中产生的数据有机地结合在一起,构建利用计算机平台处理的潜油电泵机组智能选型设计模型。从而提高工作效率、节省大量的资金,使浅海油田的石油开采从传统方式向智能化迈进一步。
The intelligent shaping system of submersible pump has practical significance for oil production in shallow sea oil fields.The related computation model in the intelligent shaping system is built to compute the flow speed of motor surface,pump depth,bottomhole flow pressure,etc.Taking the capacities of computer for numerical computation,plotting and large-capacity data storage,this system combines the data from oil exploration,well drilling,well completion and oil production process to build an intelligent shaping design model of submersible pump with computer platform processing.The design and realization of the intelligent shaping system for submersible pump improve work efficiency,save heavy money,move closer to the global advanced ranks for the shallow sea oilfield development.
出处
《计算机与现代化》
2012年第11期127-129,133,共4页
Computer and Modernization
关键词
潜油电泵
人工智能
模式识别
特性曲线
submersible pump
artificial intelligence
pattern recognition
characteristic curve
