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The Second International Conference on Uncertainty Theory

作者： Yanjun FANG~1,Xiaoyu JI~2,Qing FANG~3,Shujiang QIAO~1,Haifeng WANG~1,Hongguo SUN~1 1.Exploration and development Research Institute,Daqing oilfield Company Ltd.,Daqing,Heilongjiang,China 2.School of Business,Renmin University of China 3.No.8 Oil Production Company of Daqing oilfield Company Ltd.,Daqing,Heilongjiang,China

There are many uncertain factors in oilfield development programming,which have a big effect on the programming *** 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 *** efficient algorithm based on genetic algorithm is *** 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 *** addition,an allocation method of production index,which combine with using the mathematical statistics and the expert's experience,is presented and can solve the difficult problem on how overall production goal is reasonably allocated to programming *** 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.

关键词： oilfield development programming Uncertainty Goal allocation Genetic algorithm Monte-Carlo simulation

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An Optimization Approach on Comprehensive Evaluation for oilfield development programming Projects

An Optimization Approach on Comprehensive Evaluation for Oil...

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The Tenth International Conference on Information and Management Sciences

作者： Yanjun Fang,Yanming Pang,Haifeng Wang,Jifeng Zhang,Lili Zhu Exploration and development Research Institute,Daqing oilfield Company Ltd.,Daqing,Heilongjiang,China

oilfield development programming is a complicated system engineering with multiple-discipline and *** are many technical indexes, economic indexes and social indexes in oilfield development programming,which are both contradictory and *** on analysis of characteristic of indexes on oilfield development and characteristic on oilfield development programming,Evaluation system on indexes is established objectively and comprehensively through employing the method on fuzzy clustering analysis. Weight values of indexes are determined by adopting the combination method with AHP and expert's experience. According to the method on TOPSIS,comprehensive evaluation and optimization is applied on development programming ***,sorting result of projects is gained,which may provide scientific basis for oilfield development programming and decision-making.

关键词： oilfield development programming Fuzzy clustering analysis AHP TOPSIS Comprehensive evaluation

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Multiobjective optimal models of output structure and its algorithm in oilfield development programming system

Xinan Shiyou Xueyuan Xuebao/Journal of Southwestern Petroleu...

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Xinan Shiyou Xueyuan Xuebao/Journal of Southwestern Petroleum Institute 2005年第2期27卷 53-56页

作者： Zhang, Jin-Liang Ding, Xian-Feng Liu, Zhi-Bin Southwest Petroleum Inst. Chengdu 610500 China

On the basis of the establishment of the correlative relationship of the development index of oilfield by use of functional simulation theory, such as differential simulation method and NN method, the authors researched the oilfield and set up the optimal distribution models of oilfield development programming with different goals, including maximum oil output minimum cost and maximum economic benefit, which solved the optimal distribution problems successfully with total output and the corresponding workload and other development indexes of oilfield. Considering the non-linear Multi-objective models with restrictions, we used the improved Hooke-Jeeves algorithm to solve it, and the application of the algorithm and the models to development programming in some oilfields which were in the mid-later stage has obtained satisfactory economic benefit.

关键词： Hooke-Jeeves algorithm Multi-objective oilfield development programming Optimal model Output structure

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Nonlinear programming for oilfield development based on maximum profit

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Shiyou Daxue Xuebao/Journal of the University of Petroleum China 2004年第1期28卷 111-113页

作者： Xiong, Fu-Li Zhang, Xiao-Dong Li, Shu-Rong Gai, Ying-Jie Coll. of Info. and Control Eng. Univ. of Petroleum Dongying 257061 China

According to the fact of oilfield development, the oil production and profit of an oilfield were divided into nine parts. Considering the restriction of investment and cost, a nonlinear programming model for oilfield development based on maximum profit was built. In order to get the optimal solution in the global, a kind of nonlinear optimal algorithm based on genetic algorithm was given and validated using the actual data of oilfield development, and a set of satisfactory solutions has been obtained.

关键词： Genetic algorithm Maximum profit Non-linear programming model oilfield development programming

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