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油田措施配置随机动态目标规划
Random dynamic goal planning matching for measures in oil field.
【摘要】 针对油田开发实际中存在的随机现象和动态特征 ,建立了油田措施的目标随机动态规划模型 ,并采用具有擅长全局搜索和高度鲁棒性特点的遗传算法进行求解。应用结果表明 ,该模型给出了各项稳产措施的增油量、增水量及生产费用 ,使措施配置更能反映实际生产动态。该方法是油田开发方案调整的极为有力的工具。
【Abstract】 Random dynamic goal planning model is built in view of random phenomenon and dynamic feature existed in the development practice of oil field. The solution is obtained by Genetic Algorithm which have property of searching the situation taken as a whole and highly stability. The application results show that the model gives incremental oil, incremental water and production cost of every stable production measure, which can reflect actual producing performance better. This method is a powerful tool for the adjustment of development program in oil field.
【关键词】 措施规划;
随机规划;
动态规划;
遗传算法;
开发方案;
【Key words】 measure planning; random planning; dynamic planning; Genetic Algorithm; development program;
【Key words】 measure planning; random planning; dynamic planning; Genetic Algorithm; development program;
【基金】 中国石油天然气集团公司“九五”攻关项目子课题
- 【文献出处】 油气地质与采收率 ,Oil & Gas Recovery Techinology , 编辑部邮箱 ,2001年01期
- 【分类号】TE323
- 【被引频次】13
- 【下载频次】114