西南石油学院学报2001，Vol.23Issue(2)：9-13,5.
鲕粒碳酸盐岩储层的测井识别研究
THE STUDY ON RECOGNIZING OOLID RESERVOIR FROM WELL LOGGING INFORMATION
摘要
Abstract
Based on well logging response characteristic of oolid reservoirand electrical- lithologic database from log parameters of lithology, automatic classifying formation is realized. By gray conjunction method, oolid formation of each well profile is identified and the log recognition pattern for oolid reservoir is established by combining reservoir parameters and then the programs is developed. The application shows that this method has higher resolution and is able to classify oolid reservoirs of thicker than 0.5 meter and improves the prediction precision in vertical and horizontal direction.关键词
鲕滩储层/测井识别/储层解释分类
能源科技引用本文复制引用
夏宏泉,杨华斌,朱仕军,刘红歧,张贤辉,任兴国,胡振平..鲕粒碳酸盐岩储层的测井识别研究[J].西南石油学院学报,2001,23(2):9-13,5.基金项目
“九五”国家重点科技攻关项目“四川盆地准南地区天然气 勘探新领域研究和勘探目标评价”(96-110-补2)。 （96-110-补2）
