Adaptive Simulated Annealing Genetic Algorithm for Optimizing Injection Production Parameters of Steam Flood Well

摘要：

The development effect of steam flood well is influenced by the combination of the following parameters: injection speed, dryness fraction of steam, temperature of injection steam, and bottom hole flowing pressure. Taking the advantage of adaptive simulated annealing genetic algorithm with the characteristic of fast search and globally optimization, and combine with the mathematical model of the steam flood well. Maximization of the vaporliquid interface factor is the target to optimize injection production parameter of the steam flood well, the results of the optimization shows that cumulative oil production increases obviously.

关键词： Steam flood Injection production parameter Adaptive simulated annealing genetic algorithm Optimization procedure

作者: Tianjian SUN Junfeng SHI Xinghe YU

作者单位: School of Energy Resources, China University of Geosciences (Beijing), Beijing, China RIPED of PetroChina,Beijing,China

会议类型: 国际会议

会议名称: 2011 International Conference on Mechatronics and Materials Processing(2011年机电一体化与材料加工国际会议 ICMMP)

会议地点: 广州

会议语种:英文

页码: 1855-1859

在线出版日期: 2011-11-18（万方平台首次上网日期，不代表论文的发表时间）