摘要
以油田措施增产最大化为目标,兼顾成本、措施量等目标,建立了油田措施配置的随机机会约束规划模型,并给出了模型的混合智能算法。实例表明,该模型理论基础严格,求解方法科学有效,并具有一定的智能性,为油田措施配置提供了新的决策依据。
A stochastic chance-constrained programming model is put forward for incremental measures program of Oilfield, which uses the most increasing output as objective and takes both cost and work quantity into account.At the same time, the process of its hy-brid intelligent algorithm is also provided. A real example testifies the efficiency,practicability and intellectual ability of this method, which provides a new decision basis for the incremental measures program of oilfield.
出处
《微计算机信息》
北大核心
2007年第3期192-193,共2页
Control & Automation
基金
山东省自然科学基金(Y2003H01)
关键词
措施配置
随机机会约束规划
模型
混合智能算法
Measures program, Stochastic chance-constrained programming, Model, Hybrid intelligent algorithm
