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针对油田传统人为安排措施工作计算量大、耗时多且经济效益不高的缺点,建立了以经济效益最大化为目标,以年度增注目标、增产目标、含水目标、递减目标以及保持注采平衡为约束条件的多目标综合调整方案优化模型,并提出一种量子混合蛙跳算法求解优化模型,计算不同工作量组合实施效果,优选出满足目标和约束条件的综合调整方案作为实施方案,取得了很好的实际应用效果.
Aiming at the shortcomings of large amount of calculation, time-consuming and low economic efficiency, the traditional artificial arrangement measures in the oilfield are established. The goal of maximizing economic benefits is to set the target of annual replenishment, target of increasing production, target of moisture content, target of decreasing, Aiming at the optimization model of multi-objective comprehensive adjustment scheme with constraint as balance, a quantum hybrid frog leaping algorithm is proposed to solve the optimization model, and the effect of different workload combination is calculated, and the comprehensive adjustment plan that satisfies the goal and constraint conditions is selected as the implementation plan. A very good practical application.