摘要
油田措施规划是一种提高油田措施增产效果的重要手段。引入随机机会约束目标规划理论,同时考虑措施增油量、措施增油成本等目标,建立了油田措施随机机会约束目标规划模型,并给出了融随机模拟、神经网络、遗传算法于一体的混合智能算法。最后给出一个实例来说明该模型与方法的有效性。
Measures programming is an important way to improve the effect of incremental measures. Based on the theory of sto- chastic chance-constrained goal programming, a stochastic chance-constrained goal programming model is put forward for incremental measures programming of Oilfield, which uses the increasing output and cost as objectives. At the same time, the process of its hybrid intelligent algorithm including stochastic simulation, genetic algorithm and artificial neural network is also provided. Finally, an example is given to illustrate the validity of the model and approach.
出处
《西华大学学报（自然科学版）》
CAS
2009年第1期50-52,共3页
Journal of Xihua University:Natural Science Edition
基金
山东省自然科学基金(Y2003H01)
国家社会科学基金(05BJY050)
中国石油大学引进人才科研基金项目(Y070602)
关键词
措施
随机机会约束目标规划
模型
混合智能算法
灵敏度分析
measures programming
stochastic chance-constrained goal programming
model
hybrid intelligent algorithm
sensi-bility analysis
