基于遗传算法进行水驱凝析气藏动态拟合分析

Dynamic fitting for water flooding condensate gas reservoir with modified genetic algorithm

本文通过建立水驱凝析气藏动态拟合数学模型,用改进的遗传算法对单井生产动态数据进行拟合,能较快速度搜索出全局最优解,并准确拟合出单井的相关参数,可对单井进行动态储量及气水关系分析、见水时间预测和得到气藏废弃压力及最终采收率。实例应用表明,拟合效果好且较准确,适用性强。

Dynamic fitting mathematical model was established for water flooding condensate gas reservoir to fit the dynamic data of single well with modified genetic algorithm.It can seek the overall optimal solution rapidly and fit the parameters of single well accurately.It can also be used to analyze dynamic reserve of single well and gas-water relation,predict water breakthrough,abandonment pressure and final efficiency of recovery of gas reservoir.The practices have proved good results in fitting effect and feasibility.