首页 | 本学科首页   官方微博 | 高级检索  
     检索      

气测参数信息的提取及储层含油气性识别
引用本文:连承波,钟建华,李汉林,赵永军,蔡福龙,张军涛.气测参数信息的提取及储层含油气性识别[J].地质学报,2007,81(10):1439-1443.
作者姓名:连承波  钟建华  李汉林  赵永军  蔡福龙  张军涛
作者单位: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,南京,210093
基金项目:国家自然科学基金项目(编号40503003),中国石油天然气集团公司创新基金项目(编号2002F70108)联合资助成果
摘    要:储层含油气性是评价储层的重要指标,而气测资料与储层含油气性具有较强的相关性。利用R型因子分析对大量气测参数优化组合降维分析,在气测参数大部分信息不丢失的情况下,提取少数几个因子得分意义下的气测解释综合参数,根据其方差贡献的相对大小确定权重。在试油证实的层位中,分别选取油层样品、油水同层样品、含油水层样品和干层样品对应的气测解释参数构造参考序列,把待识别样品对应的气测解释综合参数当作比较序列,进行加权灰色关联分析,得到已证实储层与待识别储层的关联度。建立适当的隶属函数,根据最大隶属度原则确定待判储层的含油气性。实例分析表明,该方法计算简单,正判率高,实用性强。

关 键 词:气测  R型因子分析  灰色关联分析  含油气性  识别
修稿时间:2007-03-16

Extraction of Gas Logging Information and Identification of Oil-bearing Reservoirs
LIAN Chengbo,ZHONG Jianhu,LI Hanlin,ZHAO Yongjun,CAI Fulong,ZHANG Juntao.Extraction of Gas Logging Information and Identification of Oil-bearing Reservoirs[J].Acta Geologica Sinica,2007,81(10):1439-1443.
Authors:LIAN Chengbo  ZHONG Jianhu  LI Hanlin  ZHAO Yongjun  CAI Fulong  ZHANG Juntao
Institution:1. School of Earth Resources and Information, China Petroleum University, Shandong, 257061;2. Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing , 100029 ;3. The Department of Earth Science, Nanjing University, Nanjing , 210093
Abstract:Oil-gas potential is one of the important parameters for evaluating reservoirs.There is noticeable pertinence between gas logging data and oil-bearing reservoirs.Gas logging combined with parameters was extracted based on R-factor analysis,and the weights were ascertained based on the variance of gas logging combined with the parameters.Gas logging combined with parameters of tested reservoirs was considered as a reference series and unknown reservoirs were taken as comparison series.Correlation function of tested reservoirs and unknown reservoirs was established.Oil-gas potential of unknown reservoirs can be identified based on the light of maximum subject degree.The case suggests that the method is simple in calculation and the result is reliable.
Keywords:gas logging information  R-factor analysis  grey correlation analysis  Identification  oil-gas potential
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《地质学报》浏览原始摘要信息
点击此处可从《地质学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号