模糊聚类在苏德尔特油田岩性识别中的应用  

APPLICATION OF FUZZY CLUSTERING IN THE LITHOLOGY IDENTIFICATION OF SUDERTE OILFIELD

作　　者：苗洪波[1,2] 马继明[2] 唐振兴[1,2] 毕广武[3] 郑克艳[2] 

机构地区：[1]中国地质大学资源学院,湖北武汉430074 [2]吉林油田公司勘探开发研究院,吉林松原128000 [3]大庆油田有限责任公司勘探开发研究院,黑龙江大庆163712

出　　处：《大庆石油地质与开发》2009年第6期47-51,共5页Petroleum Geology & Oilfield Development in Daqing

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%.

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 

分 类 号：TE121[石油与天然气工程—油气勘探]