检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:连承波[1] 李汉林[1] 钟建华[1] 蔡福龙[2] 张军涛[3]
机构地区:[1]中国石油大学地球资源与信息学院,山东东营257061 [2]中国科学院地质与地球物理研究所,北京100029 [3]南京大学地球科学系,江苏南京210093
出 处:《中国石油大学学报(自然科学版)》2008年第1期29-32,共4页Journal of China University of Petroleum(Edition of Natural Science)
基 金:中国石油天然气集团公司创新基金项目(2002F70108)
摘 要:为了探讨储层含油气性评价的有效方法,将灰色关联分析用于储层含油气性气测解释。气测资料与储层含油气性具有较强的相关性,通过气测参数之间的相关分析,可以确定相对独立的储层含油气性气测解释参数。选取储层含油气性构造参考序列,把储层对应的气测参数当作比较序列,利用均权灰色关联分析求得不同气测参数与储层含油气性的关联度,进而确定待识别储层与已知含油气性储层加权灰色关联分析模型中不同气测参数的权重。将待识别储层对应的气测参数当作比较序列,利用加权灰色关联理论进行相关分析,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,并根据最大隶属度原则确定待识别储层的含油气性。分析结果表明,基于气测资料均权和加权灰色关联分析储层含油气性模式识别方法对数据量没有太高的要求,且计算方法简单,正判率高。In order to study the effective method of interpreting oil-bearing reservoirs, grey correlation analysis was used to interpret oil-bearing reservoirs based on gas logging data. There is a noticeable correlation between gas logging data and oil- bearing reservoirs. The effective parameters were determined based on correlation analysis. The oil-gas potential of reservoirs was considered as reference series and gas logging parameters were taken as comparison series. Correlation degree between gas logging parameters and oil-gas potential was obtained based on average weight grey correlation analysis. The weights of gas logging parameters in the weighted grey correlation analysis of tested reservoirs and unknown reservoirs were ascertained. Gas logging parameters of tested reservoirs were considered as reference series and unknown reservoirs were taken as comparison series. Correlation degree between tested reservoirs and unknown reservoirs was obtained. Oil-gas potential of unknown reservoirs was identified in the light of maximum subject degree. The analysis results show that the method is simple in calculation and the result is reliable.
分 类 号:TE122.2[石油与天然气工程—油气勘探]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.249