摘要
针对深层潜山碳酸盐岩地层岩性识别成功率低的状况 ,应用模糊数学原理 ,建立模糊数学识别碳酸盐岩岩性模式。识别和划分深层潜山碳酸盐岩地层岩性 ,以便进一步深入研究深层潜山碳酸盐岩油气藏储层。选择反映深层潜山碳酸盐岩岩性特征的测井参数 ,在取心资料标定下 ,确定阈值 ;利用所建岩性识别模式 ,对碳酸盐岩岩性进行分类 ,依据最大隶属原则 ,识别碳酸盐岩岩性。应用实地研究资料 ,识别十种碳酸盐岩岩性 ,并与岩心鉴定统计分析结果对比 ,符号一致性达 94%以上 ,表明该方法识别深层潜山碳酸盐岩岩性精度较高 。
In accordance with low success ratio of lithology identification in carbonate formation, a made of Identifying lithology of carbonate rocks through fuzzy mathematics has set up. 8 logging parameters reflecting lithology of carbonate rocks were selected and threshold values were determined.Lithologies of carbonate rocks were classified by using this identification made and maximum subordination principle. Using field data identified 10 types of carbonate rocks, and they were compared with the result of core analysis, showing 85% consistency. Therefore this method has higher accuracy for identification of carbonate lithology, and is quite promising in geological application.
出处
《新疆石油学院学报》
CAS
2003年第3期35-39,共5页
Journal of Xinjiang Petroleum Institute
基金
国家 973研究项目G1 9990 4 331 1 2
关键词
碳酸盐岩
岩性
识别
模糊数学
测井参数
carbonate rocks
lithology
identification
fuzzy mathematics
logging parameters
