摘要
根据油田开发的实际情况 ,将油田的产量和利润细分为 9个部分 ,以获得最大利润为目标 ,同时综合考虑了成本、投资等约束 ,建立了油田开发非线性规划数学模型。为了能够获得全局最优解 ,给出了基于遗传算法的非线性规划求解算法。利用某油田的实际开发数据 ,对提出的优化方法进行了验证 ,并给出了一组最优解。
According to the fact of oilfield development, the oil production and profit of an oilfield were divided into nine parts. Considering the restriction of investment and cost, a nonlinear programming model for oilfield development based on maximum profit was built. In order to get the optimal solution in the global, a kind of nonlinear optimal algorithm based on genetic algorithm was given and validated using the actual data of oilfield development, and a set of satisfactory solutions has been obtained.
出处
《石油大学学报（自然科学版）》
CSCD
北大核心
2004年第1期111-113,共3页
Journal of the University of Petroleum,China(Edition of Natural Science)
关键词
利润最大化
油田开发
遗传算法
产量
投资
目标函数
maximum profit
oilfield development programming
non-linear programming model
genetic algorithm
