应用粗集理论优选地震属性的方法研究
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摘要
随着地震属性技术的发展,利用地震属性进行储层预测已成为十分有效的方法。由于目前地震属性种类繁多和具有不确定因素,而且属性选择对地震属性的模式识别有直接影响,因此对地震属性进行优化选择是十分必要的。基于粗集理论及其区别矩阵的频率约简算法对地震属性进行约简,能在保留属性代表的知识信息的情况下,删除冗余属性,减少数据量。这种方法能比较方便地找出属性核,并能有效地得到地震属性约简结果,减小了约简难度。
Along with the development of seismic attributes technology,using seismic attributes to predict reservoir has become a very effective method.The seismic attributes have many types and uncertain factors,and the choice of seismic attributes has a direct impact on pattern recognition,so it is very necessary to optimize seismic multi-attributes.In the paper,seismic attributes are optimized by the Rough Set theory and the Discernibility Matrix Attributes Frequency Reduction Algorithm,which can retain the knowledge information,delete redundant attributes and reduce data.This method can be relatively easy to find the attributes core,obtain seismic attributes reduction results and decrease the reduction difficulty.
Along with the development of seismic attributes technology,using seismic attributes to predict reservoir has become a very effective method.The seismic attributes have many types and uncertain factors,and the choice of seismic attributes has a direct impact on pattern recognition,so it is very necessary to optimize seismic multi-attributes.In the paper,seismic attributes are optimized by the Rough Set theory and the Discernibility Matrix Attributes Frequency Reduction Algorithm,which can retain the knowledge information,delete redundant attributes and reduce data.This method can be relatively easy to find the attributes core,obtain seismic attributes reduction results and decrease the reduction difficulty.
引文
[1]刘麟,阳芳.地震属性在勘探阶段中的应用[J].石油物探,2004,43(增):34-39.
[2]陈遵德.储层地震属性优化方法[M].北京:石油工业出版社,1998.
[3]温书亮,刘志斌,何峰.地震多属性聚类分析技术及其在渤海某区块油气预测中的应用[J].天然气工业,2007,27(增A):273-274.
[4]高隽.智能信息处理方法导论[M].北京:机械工业出版社,2004.
[5]陈遵德.基于Rough set理论的油层识别方法[J].地球物理学进展,1998,13(4):52-59.
[6]Pawlak Z.Rough set[J].International Journal of Comput-er and Information Science,1982,11(5):341-356.
[7]Pawlak Z.Rough set-theoretical aspects of reasoning a-bout data[M].Kluwer Academic Publishers,1991.
[8]张文修,吴伟志,梁吉业,等.粗糙集理论与方法[M].北京:科学出版社,2001.
[9]张力木.基于粗糙集的有序问题及数据约简的研究[D].吉林长春:吉林大学硕士学位论文,2005.
[10]魏艳,尹成,丁峰,等.地震多属性综合分析的应用研究[J].石油物探,2007,46(1):42-47.
[2]陈遵德.储层地震属性优化方法[M].北京:石油工业出版社,1998.
[3]温书亮,刘志斌,何峰.地震多属性聚类分析技术及其在渤海某区块油气预测中的应用[J].天然气工业,2007,27(增A):273-274.
[4]高隽.智能信息处理方法导论[M].北京:机械工业出版社,2004.
[5]陈遵德.基于Rough set理论的油层识别方法[J].地球物理学进展,1998,13(4):52-59.
[6]Pawlak Z.Rough set[J].International Journal of Comput-er and Information Science,1982,11(5):341-356.
[7]Pawlak Z.Rough set-theoretical aspects of reasoning a-bout data[M].Kluwer Academic Publishers,1991.
[8]张文修,吴伟志,梁吉业,等.粗糙集理论与方法[M].北京:科学出版社,2001.
[9]张力木.基于粗糙集的有序问题及数据约简的研究[D].吉林长春:吉林大学硕士学位论文,2005.
[10]魏艳,尹成,丁峰,等.地震多属性综合分析的应用研究[J].石油物探,2007,46(1):42-47.
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