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油田注水开发系统能耗整体优化方法 被引量:12

Global optimization method of energy consumption in oilfield waterflooding system
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摘要 为了解决注水开发系统能耗整体优化的问题,应用能量守恒定律及流体能量表征方法,建立了油藏系统能耗表征方法,阐述了表征方法分项物理意义。在此基础上,以阶段时间内吨油能耗最低为目标函数,以注水、油藏和举升3个系统能耗表征方法及油藏开发方案为约束条件,以注水系统单井采油量和注水量为决策变量,建立油田注水开发系统能耗整体优化模型。应用整体优化方法,借助数值模拟手段获取油藏相关参数,对某一注一采实际井组方案进行优化,得到最佳注采方案以及地层压力保持水平,验证了该方法的合理性。 In order to solve the global optimization of energy consumption in the oilfield waterflooding system,the character ization approach of energy consumption in the oil reservoir system is established by using energy conservation law and char acterization method of fluid energy. Physical meaning of each item for the characterization method is described. Based on the proposed model,the objective function is defined as the lowest energy consumption per ton of oil at certain stage. The characterization methods of energy consumption in the water injection system,oil reservoir system,lifting system and the oil reservoir development plan are considered as the constraint conditions. The oil production and water injection volume of single well in the water injection system are set as the decision variables. Then,global optimization model for energy con sumption of oilfield waterflooding system is proposed. The global optimization method is applied to the plan optimization of a certain injection-production well group. Reservoir parameters may be obtained through numerical simulation. The opti mal injection-production plan and formation pressure maintenance level are obtained,and the rationality of this method is verified.
作者 邴绍献 赵伟 李振泉 肖武 吕琦 侯春华 BING Shaoxian;ZHAO Wei;LI Zhenquan;XIAO Wu;Lü Qi;HOU Chunhua(Exploration and Development Research Institute,Shengli Oilfield Company,SINOPEC,Dongying City,Shandong Province,257015,China;Shengli Oilfield Company,SINOPEC,Dongying City,Shandong Province,257001,China)
出处 《油气地质与采收率》 CAS CSCD 北大核心 2019年第5期102-106,共5页 Petroleum Geology and Recovery Efficiency
基金 国家科技重大专项“胜利油田特高含水期提高采收率技术”(2016ZX05011-001)
关键词 注水开发 油藏系统 能耗 整体优化模型 地层压力保持水平 waterflooding oil reservoir system energy consumption global optimization model formation pressure mainte nance level
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