摘要
苏德尔特油田兴安岭群岩性复杂，测井响应差别较小，在岩性类别方面存在交互性和模糊性，使得识别困难。为了更好地开展储层研究和流体识别工作，探索其主要岩性的分类及识别方法成为关键问题，选取6个对岩性反应敏感的测井参数，应用模糊数学原理对其主要岩性进行分类，并在建立岩性模式基础上依据最大隶属原则识别岩性。与此同时，通过编制程序实现了对岩样的自动识别与分类。实践证明，岩性识别的应用效果较好，符合率达到90.1%。
Xing＇ anling Group of Suderte oilfield is characterized by complicated lithology, rather less differential of well logging response and furthermore there are alternating and fuzzy properties in lithological classification, so it is difficult to identify. In order to well carry out reservoir study and fluid identification, the classifying and identif- ying method to explore its main lithology becomes the key problem, six well logging parameters with well-responded lithology are chosen and then the main lithology is classified by fuzzy mathematical principle. And moreover, the li- thology is recognized by maximum subordinate principle on the basis of the established lithology mode. At the same time, the automatic recognition and classification for the core samples have been realized with the help of the com- piled programs. The practice proves that the practical effects of above lithology identification are much better and the coincidence ratio can reach 90. 1%.
出处
《大庆石油地质与开发》
CAS
CSCD
北大核心
2009年第6期47-51,共5页
Petroleum Geology & Oilfield Development in Daqing
关键词
兴安岭群
岩性识别
模糊聚类分析
交会图
最大隶属原则
Xing＇ anling Group
lithology identification
fuzzy clustering analysis
erossplot
maximum subordinate principle
