| 神经网络的CO2吞吐候选井模糊优选方法 |
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| 引用本文： | 侯天江,郑云川,孙雷,陈挺,李兵,李仕伦.神经网络的CO2吞吐候选井模糊优选方法[J].西南石油大学学报（自然科学版）,2005,27(5):33-36. |
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| 作者姓名： | 侯天江 郑云川 孙雷 陈挺 李兵 李仕伦 |
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| 作者单位： | 1.西南石油学院石油工程学院,四川 成都 610500; 2.中石化中原油田分公司 |
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| 摘 要： | CO2吞吐候选井的优选和综合评价是二氧化碳吞吐项目成功的基础。在综合评价权重的确定中不管是层次分析法还是模糊层次分析法都带很大的主观性,这里将模糊综合评判方法与神经网络技术相结合,通过神经网络的自学习方法来获得评价参数权重,使权重能反应客观事实。实践证明该方法在CO2吞吐候选井的优选和综合评价中切实可行。
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| 关 键 词： | CO2吞吐 神经网络 模糊数学 模糊优选 综合评价 |
| 收稿时间： | 2004-11-22 |
THE FUZZY OPTIMUM SCREENING METHOD OF CO2 HUFF AND PUFF CANDIDATE OIL W ELL VIA NEURAL NETWORKS |
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| HOU Tian-jiang ZHENG Yun-chuan SUN Lei et al.THE FUZZY OPTIMUM SCREENING METHOD OF CO2 HUFF AND PUFF CANDIDATE OIL W ELL VIA NEURAL NETWORKS[J].Journal of Southwest Petroleum University(Seience & Technology Edition),2005,27(5):33-36. |
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| Authors: | HOU Tian-jiang ZHENG Yun-chuan SUN Lei |
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| Affiliation: | Southwest Petroleum Institute, Chengdu Sichuan 610500, China |
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| Abstract: | The screening and comprehensive evaluation of CO2 huff and puff candidate oilwell is the base of the project'success. In the comprehensive evaluation progress ofdetermination ofweight by either analytical hierarchy process or fuzzy analytical hierarchy process is ofmuch subjectivity, we integratemethod of neural networks and fuzzy comprehensive evaluation, obtain the evaluation parameterweightwhich reflecting the effect of the importance of each parameter to CO2 huff and puff by self-teach-ingmechanism of neural network., so that the weightwould reflect the fact. The field application indicates that thismethod ispracticable in screening and comprehensive evaluation of CO2 huff and puff candidate oil well |
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| Keywords: | CO2 huff and puf f neuralnetworks fuzzy mathematics fuzzy optmi um screening comprehensive evaluation |
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