摘要
利用测井数据中的自然伽玛、中子、声波和密度测井曲线所蕴含的岩性信息,用模糊聚类算法实现岩性的自动划分。该方法识别准确度高,可靠性强。通过对川西坳陷十八口井的实际应用,此方法在低孔低渗的致密碎屑岩岩性划分中取得了良好的效果。
Using gamma ray log,neutron log,density log and sonic log,with the algorithm of fuzzy clustering,we can realize lithology recognition.This method is reliable and accurate.By the application of the method in eighteen wells in the western depression of Sichuan basin,it achieves good effect in the recognition of low permeability and low porosity tight clast of the western depression of Sichuan basin.
出处
《物探化探计算技术》
CAS
CSCD
2006年第4期319-321,共3页
Computing Techniques For Geophysical and Geochemical Exploration
基金
国家863计划(2001AA136020-1)
关键词
模糊聚类
岩性划分
模式识别
致密碎屑岩
川西坳陷
fuzzy clustering
lithology recognition
pattern recognition
tight clast
the western depression of Sichuan basin
