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机构地区:[1]石油大学石油工程系,北京102200 [2]大庆油田设计院总体室,大庆163712
出 处:《石油大学学报(自然科学版)》2000年第2期25-29,共5页Journal of the University of Petroleum,China(Edition of Natural Science)
基 金:国家"九五"攻关项目!(96 101010803)
摘 要:由于三次采油开发方式具有集中配制、分散注入的特点 ,所以聚合物配制站必须在空间和时间上对几个区块提供共享服务 ,以提高综合利用率 ,由此带来了聚合物配制站的优化布局问题。从数学规划和系统工程的角度出发 ,应用网络流规划方法建立了存储模型和选址模型混合的优化布局模型 ,编制了专用的大规模组合优化算法程序。该程序在给定各个区块生产时间和中转站布局的条件下 ,以投资最省为目的 ,优选出配制站个数、规模和位置 ,并绘出配制站与中转站的服务网络图。以聚合物驱油条件下大庆油田的萨中油田为规划对象进行了数值计算 ,与人工规划结果对比表明 ,该模型可节约投资 3%~ 5 % ,并能辅助三次采油规划人员进行优选配制站的方案布局。Most of water flooding oilfields in china undergo their high water decline periods at present. The polymer flooding or ASP flooding becomes an industry to improve the recovery of these fields. Because of the special characters of this development method, the polymer stations must be shared among several reservoirs in space and development time in order to upgrade their service efficiency. The location of the polymer station is a new emerged problem. Applying the theory of the network flow, an optimal decision model is developed. It is a hybrid model of inventory model and location model. Furthermore, the tailored algorithm is programmed. When the developing time and the location of injecting stations in reservoirs are given, this program can give the construction scale, location and the service network of injecting stations for minimized investment. An example for locating polymer station proves that the model is reasonable, and 3 % ~5 % investment can be saved by using this model.
分 类 号:TE357.46[石油与天然气工程—油气田开发工程]
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