摘要
针对火山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 。
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.
出处
《特种油气藏》
CAS
CSCD
2002年第1期14-17,共4页
Special Oil & Gas Reservoirs
关键词
火山岩
岩性识别
模糊数学
测井参数
油气储层
volcanics
lithology identification
fuzzy mathematics
logging parameter
