摘要
在气田开发规划产量分配优化模型的基础上,引入一种具有自适应选择、自适应交叉与自适应变异操作的自适应遗传算法对模型的求解进行了研究,并运用MATLAB6.0编写算法程序,选取开发规划产量分配优化模型中的定成本产量最大模型,实例分析该算法在气田开发规划产量分配优化模型中的具体应用,并与传统遗传算法和SUMT方法进行结果对比,取得了较好的效果。
Based on the production distribution optimization model for gas field development planning,a kind of self-adaptation genetic algorithm(AGA) was inducted for model resolution.This kind of AGA was characterized by self-adapted selection,self-adapted cross and self-adapted variation operation.MATLAB6.0 was applied for algorithm routine edition,and the maximum production model for fixed cost was selected among the production distribution optimization models for development planning.Examples was used to analyze the application of this algorithm to the production distribution optimization model for gas field development planning,and the application results were compared to those of SGA and SUMT methods.The application results of AGA method were better.
出处
《大庆石油地质与开发》
CAS
CSCD
北大核心
2006年第3期45-47,共3页
Petroleum Geology & Oilfield Development in Daqing
基金
四川省自然科学基金资助项目(2004A150)
关键词
自适应
遗传算法
开发规划
产量分配
优化模型
self-adaptation
genetic algorithm
development planning
production distribution
optimization model
