Editorial office of ACTA PETROLEI SINICA ›› 1994, Vol. 15 ›› Issue (S1): 105-109.DOI: 10.7623/syxb1994S1014

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APPLYING MATHEMATICAL STATISTIC ANALYSIS METHODS TO THE CLASSIFICATION OF RESERVOIR

Yao Meng, Xu Zhangyou, Xiong Qihua, Wei Ping   

  1. University of Petroieum, Beijing
  • Online:1994-12-25 Published:2013-07-08

数理统计分析方法在储层分类中的应用

姚萌, 徐樟有, 熊琦华, 魏萍   

  1. 石油大学 北京
  • 作者简介:姚萌,1959年生.1988年毕业于石油大学(北京)研究生部.现为石油大学(北京)讲师.通讯处:北京昌平水库路.邮政编码:102200.

Abstract: The,rational classification of reservoir is the reservoir comprehensive evalua-tion so far,many parameters of reservoir were put forward by some experts and scholars,but it has been very difficult to determine that which parameters can be use and how to usethem.In this peper,on the basis of using many parameters of reservoir,the poly-step regression analysis method,R-model factor analysis method and Q-model gathering analysismethod are used to reservoir classification in Kong 1 section of Zaonan oil field.It was verified that the application of mathematical statistic analysis methods to reservoir classificationis practical.

Key words: Zaoyuan oiifield, Kongdian formation, reservoir description, physical property of oil reservoir, formation parameter, multivariate statistical analysis, regression analysis

摘要: 合理地对储层进行分类是评价储层的基础.至今为止,许多专家学者提出了很多储层分类的参数,但应该应用哪些参数以及如何应用这些参数一直是个很难解决的问题.本文从众多可用于储层分类的参数中,用多元逐步回归分析、合理地选出储层分类的主因子参数;最后用Q型聚类分析,对枣南油田孔一段储层进行了综合分类,为储层综合评价提供了基础成果,表明了数理统计分析方法在储层综合分类中的应用是可行的.

关键词: 枣南油田, 孔店组, 储集层描述, 油层物性, 地层参数, 多元统计分析, 回归分析