摘要
本文利用神经网络方法建立了采油厂的各开发指标与其影响因素的关联关系,然后把石油公司看成一个具有递阶性的二层系统,应用二层规划理论建立了油田产量构成二层规划模型。实例表明这种油田产量规划方法更具有合理性、实用性和科学性,可以使油田开发规划更适应开发和经济的发展,使其实现稳产、可持续性发展和更大的经济效益。
The incidence relation between each development index and the influencing factors in the oil production plant is established through neural network.Then the bilevel programming model about oilfield output system is built regarding the oil company as a hierarchical bilevel system.Cases show that this programming method is more reasonable,practical and scientific.It can make oilfield development project more adaptable to exploitation and economy development and realize stable,continuous development to obtain greater economic benefit.
出处
《石油工业计算机应用》
2008年第3期25-27,共3页
Computer Applications Of Petroleum
关键词
人工神经网络
二层规划模型
模拟退火算法
artificial neural network
bilevel programming model
simulated annealing algorithm
