摘要
针对海拉尔盆地贝尔凹陷储层岩性复杂的特点,进行了储层岩性识别方法研究,并利用钻井取芯资料确定岩性,进行岩性定名及标定测井资料。在进行标准化、归一化和方波化处理后,建立研究区复杂岩性储层测井识别的基础模型,并利用模糊联想记忆方法,对研究区储层岩性进行识别后,将研究区岩性划分为火山碎屑岩、火山碎屑沉积岩和沉积岩3大类、12小类。通过31口井的测井资料实际处理验证,岩性识别符合率平均达86.1%。
Owing to the complexity of the reservoir lithology in Beier depression of Hailaer Basin,the authors studied the method of the reservoir lithology identification,recognized the lithological characters and named them,and demarcated well logging data.After the standardization,normalization and squaring wave,the basic model of complex lithology reservoir well logging identification has been established in studied area.Using fuzzy associative memory,the lithological characters can be divided into 3 categories and 12 subcategories including pyroclastic,pyroclastic sedimentary and sedimentary rocks.The average accordance rate of lithological identification is 86.1% based on the validating of well logging data of 31 wells.
出处
《世界地质》
CAS
CSCD
2010年第3期473-478,共6页
World Geology
关键词
海拉尔盆地
模糊联想记忆
岩性识别
测井资料
Hailaer Basin
fuzzy associative memory
lithological identification
well logging data
