M分类法在储层流体识别中的应用  

Application of M Classification Method in Identification of Reservoir Fluid

作　　者：蒋炼[1] 贺振华[1] 黄德济[1] 文晓涛[1] 周茂林 

机构地区：[1]成都理工大学油气藏地质及开发国家重点实验室,四川成都610059 [2]川庆钻探工程公司地球物理勘探公司,四川成都610213

出　　处：《测井技术》2010年第4期356-359,共4页Well Logging Technology

摘　　要：生物礁滩储层存在测井流体识别困难的问题。应用适合生物礁滩储层流体识别的多元隶属函数M分类法,根据模糊数学的隶属函数和最大隶属原则,研究了该方法及其应用准则,建立了测井流体识别的模糊数学模型。根据多元隶属函数M分类法的原理,利用声波时差、岩性密度、中子孔隙度、浅侧向、自然伽马测井值分析和计算,对某油田生物礁滩储层段的70个油层、水层和干层进行了判别,最终解释结果符合率为85%,油层判别符合率为89.5%。It is difficult to identify fluids using log date in reef and beach reservoir. In order to resolve the problems, we find a proper method called multivariate membership grade function M classification to identify fluids in ×× oilfield. Researched are the method and its application principle according to membership function and maximum subordination principle in fuzzy mathe- matics, and established is mathematics model of identifying fluids using log data. Based on the principle of multivariate membership grade function M classification, and the analysis and calculation of log data（AC.DEN.CNL.RLLs.GR）, we processed 70 layers in several wells in reef and beach reservoir in an oilfield, the interpretation agreement rate of which is up to 84%, and the oil layer interpretation agreement rate of which is up to 93%.

关 键 词：测井应用 生物礁滩储层 流体识别 多元隶属函数 模糊理论 

分 类 号：P631.84[天文地球—地质矿产勘探]