产量构成非线性优化模型的研究与应用

Non-linear optimal modeling of production manipulation and its application

将油田产量构成分解为 9部分 ,以总产量的利润之和最大为最优目标 ,以平均吨油成本不大于规定成本作为成本约束条件 ,以各产量部分投资之和不超过总投资作为投资约束条件 ,以 9个决策变量要满足其上下限为决策变量约束条件 ,建立了产量构成非线性优化模型 ,可用于求得规划期内每年总产量和各部分产量及其成本、利润等指标。应用油田开发历史数据 ,用带有外部激励的自回归滑动平均模型预测优化模型参数 ,用最小二乘法多项式拟合产量与工作量之间的非线性关系 ,用遗传算法求解非线性模型。对某油田产量构成非线性优化结果符合该油田的实际。表 1参

The purpose of non linear optimal modeling of production manipulation is to get the maximum combined profit from all 9 production components under various conditions. Besides a maximum profit, certain conditions must be met: ①average cost must be under a given limit; and ②the gross investment for all production components is less than a preset budget. Given an oil field, a non linear optimal model can be established to satisfy these conditions as well as the annual productivity and profit goals per administrative requirements for a multi year planning period. With such a model, annual production and cost distribution for all 9 components can be programmed and manipulated to realize the maximum profit.