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基于Rough Set理论的油层识别方法
引用本文:陈遵德.基于Rough Set理论的油层识别方法[J].地球物理学进展,1998,13(4):52-59.
作者姓名:陈遵德
作者单位:江汉石油学院物探系
基金项目:国家自然科学基金,湖北省自然科学基金
摘    要:本文简介了智能信息处理中新出现的Rough Set(RS)理论,讨论了RS理论进行决策分析的方法,提出了将连续属性离用化的最优化思想,并探讨了RS理论用于测井数据判别油水层的问题。判别结果表明;本方法具有速度快,易实现,可优选属性等特点,且判别符合油水层的问题,判别结果表明:本方法具有速度快,易实现,可优选属性等特点,且判别符合率优于手工方法与BP网络方法,具有实用价值。

关 键 词:智能信息处理  RS理论  油水层识别  电阻率测井

IDENTIFICATION METHOD OF OIL AND WATER BASED ON ROUGH SET THEORY
Chen Zunde Dept. of Geophysical Prospecting,Jianghan Petroleum University,Jingzhou,Hubei.IDENTIFICATION METHOD OF OIL AND WATER BASED ON ROUGH SET THEORY[J].Progress in Geophysics,1998,13(4):52-59.
Authors:Chen Zunde Dept of Geophysical Prospecting  Jianghan Petroleum University  Jingzhou  Hubei
Institution:Chen Zunde Dept. of Geophysical Prospecting,Jianghan Petroleum University,Jingzhou,Hubei 434102
Abstract:This paper first introduces briefly the Rough Set( RS ) theory,which is a new theory in intelligent data processing;discusses the method of decision analysis based on RS ;advances an optimization idea of continuous attributes discretization;and explores the problem of oil and water beds identification with RS theory as well as logging data. The result shows that the method has the characteristics of fast computation,easy realization and attributes optimazation available etc.,and that the identifing tally ratio of the method is better than both the manual and the BP network methods. Therefore,the method is applicable
Keywords:Intelligent data processing  Rough Set theory  Identification of oil and water  Resistivity  Acoustic time  Logging curve  Artificial neural network
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