燕山大学学报Issue(3)：250-253,277,5.DOI:10.3969/j.issn.1007-791X.2013.03.012
基于地震属性相关主成分分析的储层预测
Reservoir prediction based on correlation principal component analysis with seismic attributes
摘要
Abstract
The relation between seismic attributes and predicted object is not considered in extracting principal components by seis-mic attribute principal component analysis, so an improved principal component is proposed. It demand the principal components must represent the structure of data space and keep max correlation between seismic attributes and predicted object, the relation is gotten by optimized algorithm. The numbers of seismic attribute principal compents is gotten from Kanal rule. This method can eliminate the noise and get correct relation between seismic attributes and predicted objects. The computation is made on theory data and practical data, the result shows this method is better than seismic attribute principal component alalysis.关键词
地震属性/储层预测/反演Key words
seismic attribute/reservoir prediction/inversion分类
天文与地球科学引用本文复制引用
井西利,王明利..基于地震属性相关主成分分析的储层预测[J].燕山大学学报,2013,(3):250-253,277,5.基金项目
国家自然科学基金资助项目（41174116）；河北省自然科学基金资助项目 （）
