摘要
储层含油性预测是油藏描述的重要内容之一。根据灰色系统理论，储层含油性预测可以看成是一个包合已知因素和未知因素的灰色过程。用灰色聚类分析方法对测井资料进行油气、水层识别的基本思路是，根据测井资料提取的储层含油性参数构造灰色决策矩阵，求取每种流体储集层的白化函数，最后根据灰色聚类方法来识别油、气、水层。该方法已成功地识别出Ｗ１４断块中的油气、水层。
Oil and gas prediction being important to reservoir description may be regarded as a grey process containing known and unknown factors. In prediction of oilbearing reservoirs, grey decision matrix is calculated by parameters. from log data,and white functions of each fluid in reservoirs are established, and oil-bearing(gas-bearing or water-bearing)formation in W14 fault block is recognized by using the grey polycategory.
出处
《江汉石油学院学报》
CSCD
北大核心
1996年第2期52-54,共3页
Journal of Jianghan Petroleum Institute
基金
中国石油天然气总公司"八五"重点科技攻关课题
关键词
测井解释
灰色系统
聚类分析
油气层识别
log interpretation
grey system
cluster analysis
oil and gas beds identification
