| 基于主成分分析的核Fisher判别方法在油水识别中的应用 |
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| 引用本文： | 徐正光,王淑盛,刘冀伟,王志良,史立峰.基于主成分分析的核Fisher判别方法在油水识别中的应用[J].北京科技大学学报,2005,27(1):126-128. |
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| 作者姓名： | 徐正光 王淑盛 刘冀伟 王志良 史立峰 |
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| 作者单位： | 1. 北京科技大学信息工程学院,北京,100083
2. 建筑材料工业信息中心,北京,100835 |
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| 摘 要： | 根据测井数据结构复杂和交集严重的特点,将主成分分析思想应用到剔除奇异点和寻找两类样本的交集中,并在交集中应用核Fisher判别方法,进行油水判别,弥补了Fisher线性判别方法的不足.通过将主成分分析和核Fisher判别方法这两种理论有机的结合起来,提高了利用测井数据识别油水层的鉴别能力,实际应用中证明了本方法的实用性和有效性.
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| 关 键 词： | 主成分分析 奇异点 核 主成分分析 Fisher method 线性判别方法 油水识别 应用 layer water problem recognition factor analysis primary based kernel 有效性 鉴别能力 油水层 数据识别 利用 结合 两种理论 |
| 修稿时间： | 2003年10月24日 |
Application of kernel Fisher method based on primary factor analysis to recognition problem between oil layer and water layer |
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| XU Zhengguang,WANG Shusheng,LIU Jiwei,WANG Zhiliang,SHI LifengInformation Engineering School,University of Science and Technology Beijing,Beijing ,ChinaInformation Center of Building Material Industry,Beijing ,China.Application of kernel Fisher method based on primary factor analysis to recognition problem between oil layer and water layer[J].Journal of University of Science and Technology Beijing,2005,27(1):126-128. |
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| Authors: | XU Zhengguang WANG Shusheng LIU Jiwei WANG Zhiliang SHI LifengInformation Engineering School University of Science and Technology Beijing Beijing ChinaInformation Center of Building Material Industry Beijing China |
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| Institution: | XU Zhengguang,WANG Shusheng,LIU Jiwei,WANG Zhiliang,SHI LifengInformation Engineering School,University of Science and Technology Beijing,Beijing 100083,ChinaInformation Center of Building Material Industry,Beijing 100835,China |
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| Abstract: | The idea of primary component analysis was applied to eliminating the singular point and selecting the intersection of raw log data sets according to the characteristics of raw log data. Then kernel Fisher method was used in the intersection, which remedy the shortcoming of linear differentiate methods. By combining the two method, primary component analysis and kernel Fisher, the differentiate capability was improved and the practicability is testified in application. |
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| Keywords: | primary factor analysis singular point kernel Fisher |
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