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.