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Improved Genetic Algorithm for Injection Production Parameters Optimized Design of Steam Soak Well

机译:改进的注射生产参数遗传算法优化设计蒸汽浸泡

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He development effect of steam soak well is influenced by the combination of the following parameters: injection speed, dryness fraction of steam, cyclic steam injection volume, soaking time and bottom hole flowing pressure. Take the advantage of annealed genetic algorithm which characterize with the traits of fast search and globally optimization. Based on the mathematical model of the output of the steam soak well, and optimize injection production parameter of the steam soak well which is aimed at the cycle average daily profit maximum, and make the field application.
机译:他的蒸汽浸泡井的发展效果受以下参数的结合影响:注射速度,蒸汽干燥级数,循环蒸汽喷射体积,浸泡时间和底部孔流动压力。利用退火遗传算法的优势,其特征在于快速搜索和全局优化的特征。基于蒸汽浸泡井输出的数学模型,优化蒸汽浸泡的注射生产参数,其旨在瞄准循环平均日期利润,使现场应用。

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