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模糊数学识别火山岩岩性
引用本文:刘为付,孙立新,刘双龙,王艳丽.模糊数学识别火山岩岩性[J].特种油气藏,2002,9(1):14-17.
作者姓名:刘为付  孙立新  刘双龙  王艳丽
作者单位:1. 大庆石油学院石油勘探系,黑龙江,安达,151400
2. 中油大庆油田分公司试采油公司,黑龙江,大庆,163412
3. 中油大庆石油管理局钻井二公司,黑龙江,大庆,163000
摘    要:针对火岩地层岩性识别成功率低的状况,应用模糊数学原理,建立模糊数学识别火山岩岩性模式,识别和划分火山岩地层岩性,以便进一步深入研究火山岩油气藏储层,选择8个反映火山岩岩性测井参数,确定阈值;利用所建立的火山岩岩性识别模式,对火山岩岩性进行分类;依据最大隶属原则,识别火山岩岩性,应用实地研究资料,识别10种火山岩岩性,并与岩心鉴定统计分析结果对比,一致性达85%。表明该方法识别火山岩岩性精度较高,在地质上具有很好的应用前景。

关 键 词:火山岩  岩性识别  模糊数学  测井参数  油气储层
文章编号:1006-6535(2002)01-0014-04
修稿时间:2000年11月27

Identify lithology of volcanic rocks by fuzzy mathematics
LIU Wei fu\,SUN Li xin\,LIU Shuang long\,WANG Yan li\.Identify lithology of volcanic rocks by fuzzy mathematics[J].Special Oil & Gas Reservoirs,2002,9(1):14-17.
Authors:LIU Wei fu\  SUN Li xin\  LIU Shuang long\  WANG Yan li\
Affiliation:LIU Wei fu\+1,SUN Li xin\+2,LIU Shuang long\+2,WANG Yan li\+3
Abstract:In accordance with low success ratio of lithology identification in volcanic formation, a mode of identifying lithology of volcanics through fuzzy mathematics has been set up. 8 logging parameters reflecting lithology of volcanics were selected and threshold values were determined. Lithologies of volcanics were classified by using this identification mode and maximum subordination principle. 10 types of volcanics were identified by using field data, and they were compared with the result of core analysis, showing 85 % consistency. Therefore, this method has higher accuracy for identification of volcanic lithology, and is quite applicable.
Keywords:volcanics  lithology identification  fuzzy mathematics  logging parameter  
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