An Optimal Method of Oilfield Development Programming Under Uncertainty
There are many uncertain factors in oilfield development programming, which have a big effect on the programming process. Based on analysis of the uncertainty, considering oilfield development programming is a typical multi-objective programming and optimization problems, this paper has formulated programming model on development programming, which is suitable for oilfield development rule and meets the combination characteristic of qualitative and quantitative. An efficient algorithm based on genetic algorithm is provided. Considering Comprehensively the uncertain factors, the probability of complete production goal or the achieved production as the probability is equal to 100％, are calculated by using Monte Carlo simulation technology. In addition, an allocation method of production index, which combine with using the mathematical statistics and the experts experience, is presented and can solve the difficult problem on how overall production goal is reasonably allocated to programming units. The application of the above methods in development programming of D Oilfield illustrates that the programming optimization methods are effective and can provide scientific basis for decision-making and management of oilfield development.
Oilfield development programming Uncertainty Goal allocation Genetic algorithm Monte-Carlo simulation
Yanjun FANG Xiaoyu JI Qing FANG Shujiang QIAO Haifeng WANG Hongguo SUN
Exploration and Development Research Institute, Daqing Oilfield Company Ltd., Daqing, Heilongjiang, School of Business, Renmin University of China No.8 Oil Production Company of Daqing Oilfield Company Ltd., Daqing, Heilongjiang, China
国际会议
The Second International Conference on Uncertainty Theory(ICUT)(第二届不确定理论国际会议)
拉萨
英文
80-85
2011-08-06（万方平台首次上网日期，不代表论文的发表时间）