GA与分层优化结合的掺水集油工艺参数优化OACSTPCD
Optimization of water blending and oil gathering process parameters by integrating Genetic Algorithm and hierarchical optimization
为降低进入特高含水阶段油田的掺水集油能耗,对掺水集油工艺参数进行优化.以掺水温度、掺水量、掺水压力为外层决策变量,加热炉和掺水泵运行方案为内层决策变量,以掺水集油工艺综合能耗最低为目标函数,建立掺水集油工艺参数优化模型.提出了一种遗传算法(Genetic Algorithm,GA)与分层优化结合的求解策略,将掺水温度作为染色体上的基因,先优化个体对应加热炉和掺水泵运行方案,得到个体对应的最小集油能耗,再通过种群的不断迭代进化,得到掺水集油工艺的最…查看全部>>
To minimize the energy consumption of water blending and oil gathering system in oil fields that have entered the ultra-high water cut phase,an optimization of the operational parameters of water blending and oil gathering process was conducted.The optimization model of the operating parameters of the water blending and oil gathering process was developed with water blending temperature,volume,and pressure as the outer-layer decision variables,and the operat…查看全部>>
成庆林;谢宁;孟岚;孙巍;李治东;刘悦
东北石油大学提高采收率教育部重点实验室,黑龙江 大庆 163318东北石油大学提高采收率教育部重点实验室,黑龙江 大庆 163318大庆油田工程有限责任公司,黑龙江 大庆 163000东北石油大学提高采收率教育部重点实验室,黑龙江 大庆 163318东北石油大学提高采收率教育部重点实验室,黑龙江 大庆 163318东北石油大学提高采收率教育部重点实验室,黑龙江 大庆 163318
集油能耗掺水集油工艺工艺参数分层优化GA
Oil gathering energy consumptionWater blending and oil gathering processOperating parametersHierarchical optimizationGenetic Algorithm
《天然气与石油》 2024 (3)
31-39,9
国家自然科学基金资助项目"原油罐储多环节关联加热维温体系的㶲传递描述与特性分析研究"(52074089)
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