摘要
讨论了油田开发规划的措施结构优化问题,基于二层多目标规划原理,将油田企业视为一个二层系统(上层为油田公司,下层为各个采油厂,且2个层面相对独立),以总措施产量最大、总效益最好为目标,建立了油田开发规划的二层多目标措施结构优化模型,并给出了适用于该模型的改进的Pareto多目标遗传算法的设计和实现步骤。该优化模型成功解决了油田公司措施产量分配问题、采油厂各分项措施产量对应的各项工作量及其他开发指标的最优构成问题。
This paper discusses the problem of measure structure in oilfield development programming. Based on the bi-level muhiple objective programming theory, we regard the oilfield enterprise as a hi-level system. The upper one is the oilfield company and the lower one is each oil production plant, which are opposite to each other. The optimized measure structure model of oilfield development programming is established taking the maximal measure output and the best benefit as the objects. It also supplies the algorithm design and the implementation steps with an improved Pareto multiple objective genetic algorithm which is adapted to the model. This model successfully solves the problems how to distribute the measure output of the oilfield company and the optimal construction on each workload and other development indexes corresponding to the measure output of subentry production.
出处
《断块油气田》
CAS
2008年第2期49-51,共3页
Fault-Block Oil & Gas Field
基金
“油气藏地质及开发工程”国家重点实验室开放基金资助(PLN0304)
关键词
油田开发
二层多目标规划
措施结构
遗传算法
oilfield development, bi-level multiple objective programming, measure structure, genetic algorithm.