| 改进的非支配排序遗传算法优化气举配气 |
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| 引用本文： | 罗银富,黄炳光 王怒涛 谢剑飞 依 呷. 改进的非支配排序遗传算法优化气举配气[J]. 西南石油大学学报(自然科学版), 2009, 31(2): 64-66. DOI: 10.3863/j.issn.1674-5086.2009.02.016 |
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| 作者姓名： | 罗银富 黄炳光 王怒涛 谢剑飞 依 呷 |
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| 作者单位： | 1.中海石油研究中心,北京 100027; 2.中国石油大学(北京)石油工程教育部重点实验室，北京 昌平 102249;3.西南石油大学石油工程学院,四川 成都 610500; 4.中国石油塔里木油田公司,新疆 库尔勒 841000 |
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| 摘 要： | 论述了气举优化配气的发展现状，提出了一种新的用分段线性函数表示的气举优化配气单目标和多目标模型。单目标模型以产油量最大为目标函数，而多目标模型以产油量最大且注气量最小为目标函数。以我国西部某油田某区气举井为例，进行了气举优化配气实例分析，给出了气举配气单目标模型的最优解和多目标模型的非支配解集，得到了最优配气方案下的产油量和注气量。
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| 关 键 词： | 气举优化配气 分段函数 遗传算法 多目标优化 |
IMPROVED NON-DOMINATED GENETIC ALGORITHM FOR SOLVING GAS LIFTING ALLOCATION OPTIMIZATION PROBLEM |
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| LUO Yin-fu,HUANG Bing-guang WANG Nu-tao XIE Jian-fei YI Ga. IMPROVED NON-DOMINATED GENETIC ALGORITHM FOR SOLVING GAS LIFTING ALLOCATION OPTIMIZATION PROBLEM[J]. Journal of Southwest Petroleum University(Seience & Technology Edition), 2009, 31(2): 64-66. DOI: 10.3863/j.issn.1674-5086.2009.02.016 |
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| Authors: | LUO Yin-fu HUANG Bing-guang WANG Nu-tao XIE Jian-fei YI Ga |
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| Affiliation: | 1.China Offshore Oil Research Center，Beijing 100027，China；2.MOE Key Laboratory of Petroleum Engineering，China University of Petroleum， Changping Beijing 102249，China；3.School of Petroleum Engineering，Southwest Petroleum University，Chengdu Sichuan 610500， China；4.Tarim Oilfield Company，CNPC，Korla Xinjiang 841000，China |
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| Abstract: | Authors of this paper clarify the developing situation of gas lifting allocation optimization.A new gas lifting allocation technology of single and multi-objective optimization are developed by using piece-wise linear function.The single objective model takes maximun deliverability as objective function and multiple objective function takes maximun oil deliverability and minimun gas deliverability as objective function.Taking gas lifting oil wells of block four in Zhongyuan Oilfield as an example，the gas lifting allocation optimization is verified with the optimal solution of single objective model and non-dominated solution sets of multi-objective model.Results show that the proposed method is effective for gas lifting allocation optimization.The oil deliverability and gas injection amount are acqured under the condition of optimal gas lifting allocation. |
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| Keywords: | gas lifting allocation optimization piece-wise linear function genetic algorithm multi-objective optimization |
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