摘要
气测资料可以反映储层含油气性的好坏。选取储层含油气性构建参考序列,把储层对应的气测指标作为比较序列,利用均权灰色关联分析对不同气测指标与储层含油气性的相关分析,求得不同气测指标与储层含油气性的关联度,进而确定灰色关联分析模型中不同气测指标的权重。通过加权灰色关联分析,得到待识别储层与已知含油气性储层的关联度。建立适当的隶属函数,根据最大隶属度原则确定待判别储层的含油气性。实例分析表明,基于气测资料均权和加权灰色关联分析的储层含油气性模式识别法对数据量没有太高的要求,且计算方法简单,正判率高,实用性强。
There is a noticeable correlation between gas logging data and oil-bearing reservoirs. Reservoir oil-gas potential is considered as reference series and gas logging parameters are taken as comparison series. Correlation degree between gas logging parameters and oil-gas potential is obtained based on average weight grey correlation analysis. The weight of gas logging parameters in the weighted grey correlation analysis of tested reservoirs and unknown reservoirs are ascertained. Correlation degree between tested reservoirs and unknown reservoirs is obtained by weight grey correlation degree. Oil-gas potential of unknown reservoirs is recognized in the light of maximum subject degree. The case study shows that the method is simple in calculation and the result is reliable, it is practicable for recognizing oil-gas potential.
出处
《西南石油大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第6期68-70,共3页
Journal of Southwest Petroleum University(Science & Technology Edition)
基金
中国石油天然气集团公司创新基金(2002F70108)
关键词
灰色关联分析
储层含油气性
气测资料
模式识别
权重
grey correlation analysis
oil-gas potential
gas logging data
pattern recognition
weight
