遗传算法在优化油田开发中的应用

常规优化技术由于不能很好地处理多变量优化问题及目标函数可能不连续、不可微,而不被采用,而通常所采用的规则井网布井方式又缺乏灵活性、风险性较大。针对这一问题将遗传算法应用于优化油田布井当中,以使油田获得最大累积产量为目标对油井位置进行了优化，同时以使油田获得最高经济效益为目标对井数进行了优化,取得了一定成果。

Application of Genetic Algorithm to Optimized Oilfield Development

Conventional optimizing techniques are often not adopted due to being unable to properly deal with multi-variable optimization and due to possibly discontinuous and non-differentiable objective function. Also, regular well patterns appear to be more risky to use for lacking of flexibility. In view of these issues, this paper suggests that genetic algorithm can be applied for well pattern and well number optimizations in order to get maximum cumulative production and best economic benefits. Study shows that this technique is certain of effectivity.