首页 | 官方网站   微博 | 高级检索  
     

改进的蚂蚁算法在试井曲线拟合中的应用
引用本文:刘顺,姚军,白振强.改进的蚂蚁算法在试井曲线拟合中的应用[J].油气地质与采收率,2008,15(1):87-89.
作者姓名:刘顺  姚军  白振强
作者单位:1. 中国石油大学(华东)石油工程学院,山东,东营,257061
2. 中国石油大庆油田有限责任公司,勘探开发研究院,黑龙江,大庆,163712
基金项目:国家重点基础研究发展计划(973计划)
摘    要:通过将带可变邻域搜索的进化策略引入解决组合问题的蚂蚁算法,得到了可以用于解决连续优化问题的改进的蚂蚁算法,并给出了优化步骤.将改进的蚂蚁算法应用于试井曲线的拟合中,并编写了计算程序.改进的蚂蚁算法与遗传算法的对比结果表明,前者的收敛速度和收敛值以及在多局部最优解问题上均优于遗传算法,并具有较强的实用性.

关 键 词:改进的蚂蚁算法  试井  参数优化  遗传算法  改进  蚂蚁算法  试井曲线  曲线拟合  应用  curve  well  test  ant  colony  algorithm  improved  连续优化问题  最优解  局部  收敛速度  对比结果  遗传算法  计算程序  优化步骤  组合问题  进化策略  邻域搜索

Application of improved ant colony algorithm to well test curve match
Liu Shun,Yao Jun,Bai Zhenqiang.Application of improved ant colony algorithm to well test curve match[J].Petroleum Geology and Recovery Efficiency,2008,15(1):87-89.
Authors:Liu Shun  Yao Jun  Bai Zhenqiang
Abstract:The ant colony algorithm which can solve the combination problem was introduced to evolutionary strategy with searching variable neighborhood,the improved method which can ideally solve continuous optimizing problem was obtained and the optimizing processes were given.This improved ant colony algorithm has been applied to the fitting process of well test curves and the program has been made to calibrate well test model.The convergence speed and result and multi-local optimal solution of the improved ant col...
Keywords:improved ant colony algorithm  well test  parameter optimization  genetic algorithm  
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《油气地质与采收率》浏览原始摘要信息
点击此处可从《油气地质与采收率》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号