摘要
石油注采生产过程积累了丰富的注入率和产出率等历史数据。利用大量的历史数据建立石油容量模型和生产率模型,基于上述两个模型,构造出石油注采生产过程优化问题。提出一种基于修改增广Lagrange乘子法和改进遗传算法的混合优化方法对石油注采生产过程优化问题进行求解。最后采用一组数据进行数值仿真以验证模型和优化方法的有效性。
In petroleum fields, production and injection rates are the most abundant data. A capacitance model and an oil production rate model were constructed based on the historical data. An optimization problem was formulated based on the proposed model of capacitance and oil production rate by maximizing profits. A novel hybrid optimization method was proposed to globally solve the formulated optimization problem by combing the modified augmented Lagrange multiplier method and the improved genetic algorithm. Finally, the simulation was performed to validate the proposed model and optimization method by using a set of data.
作者
龙文
梁昔明
LONG Wen;LIANG Ximing(Guizhou Key Laboratory of Economics System Simulation,Guizhou University of Finance and Economics,Guiyang 550025,Guizhou,China;School of Science,Beijing University of Civil Engineering and Architecture,Beijing 100044,China)
出处
《铜仁学院学报》
2018年第6期81-86,共6页
Journal of Tongren University
基金
国家自然科学基金(61463009)
贵州省科学技术基金(黔科合基础[2016]1022)
贵州省普通高等学校科技拔尖人才支持计划项目(黔教合KY字[2017]070)
