| 储层含油性识别中ANN和GA融合的模糊规则提取 |
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| 引用本文： | 郭海湘,诸克军,高思维,孙涵.储层含油性识别中ANN和GA融合的模糊规则提取[J].系统管理学报,2008,17(6). |
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| 作者姓名： | 郭海湘 诸克军 高思维 孙涵 |
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| 作者单位： | 中国地质大学经济管理学院,武汉,430074 |
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| 基金项目： | 国家自然科学基金，高等学校博士学科点专项科研基金，湖北省教育厅人文社会科学研究项目 |
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| 摘 要： | 提出一种基于ANN和GA融合的自学习自适应的模糊规则提取算法,用来对油层进行识别.其方法是:首先运用人工神经网络(ANN)对训练样本进行有导师学习,网络的输入是测井属性,输出表达为网络权值和输入的函数Ψk=f(xi(WG1)ij,(WG2)jk)(其中:Ψk代表含油性类别Ck的判别函数;C1为干层;C2为水层;C3为差油层;C4为油层).然后,以Ψk作为遗传算法(GA)中的适应度函数提取对应于类别Ck的模糊规则.最后,通过某油田oilsk81和oilsk83油井的实证研究表明,该方法能够有效地识别储层的含油性.
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| 关 键 词： | 人工神经网络 遗传算法 模糊规则 储层识别 测井属性 |
Extracting Fuzzy Rules Based on Fusion of ANN and GA in Reservoir for Recognizing Oil-bearing Characteristics |
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| GUO Hai-xiang,ZHU Ke-jun,GAO Si-wei,SUN Han.Extracting Fuzzy Rules Based on Fusion of ANN and GA in Reservoir for Recognizing Oil-bearing Characteristics[J].Systems Engineering Theory·Methodology·Applications,2008,17(6). |
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| Authors: | GUO Hai-xiang ZHU Ke-jun GAO Si-wei SUN Han |
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| Institution: | School of Management and Economics;China University of Geosciences;Wuhan 430074;China |
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| Abstract: | This paper proposed a self-adapting algorithm(ANN-GA-Cascades) for extracting fuzzy rule,which is based on fusion of ANN and GA and used for recognizing oil-bearing characteristics in reservoir.Firstly,supervised learning of training sample is performed by using neural networks,with the inputs being hte simples well-logging attribute set,and the outputs being corresponding oil-bearing characteristics C_k(C_1 denotes dry layer,C_2 denotes water layer,C_3 denotes inferior oil layer and C_4 denotes oil layer).... |
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| Keywords: | artificial neural networks genetic algorithm fuzzy rules reservoir well logging |
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