油田开发规划非线性多目标优化模型研究

为了编制油田的效益规划，实现对利润、产量、成本、投资多个目标的合理决策。根据油田开发的实际情况。将油田的构成细分为9个部分。建立了利润、产量、成本和投资的非线性多目标优化模型，将利润、产量、成本、投资4种油田开发指标分成不同的优先级进行优化。采用ARMAX模型预测模型参数。用多项式拟合描述产量与工作量之间的非线性关系。在对多目标设置不同优先级的基础上，应用基于遗传算法的逐层非线性多目标算法。较快地得到最优解，对油田效益规划的编制具有重要意义。

Study on Non-Linear Multiple Objects Optimal Model for Oil Field Development Programming

For arranging a profit-centered oil field programme, by which multiple objects, profit, production, cost and investment, could be optimized, this thesis classifies oil fields in 9 sections according to practice on oil field development, as well establishes a non-linear multiple-objects optimized model, taking a priority level based consideration for the above mentioned multiple objects. AMARX predict model is used for parameters; multinomial fitting is used for describing non-linear relationship between production and workforce. After setting different priority level to objects, descendiblity non-linear order layer multiple objects arithmetic was used to get optimized solution with little time consuming. Techniques provided here are important to arranging a profit-centered programme for oilfields.