中山大学学报（自然科学版）Issue(3)：145-150,157,7.DOI:10.13471/j.cnki.acta.snus.2015.03.025
基于主成份的多重分形法在岩性识别中的应用
Multi-Fractal Method’s Application Based on Principal Component in Lithology Recognition
摘要
Abstract
In order to solve the problem that logging curve identifying complex reservoir lithology has multiplicity and uncertainty,this paper uses logs to build principal component variables and takes the principal components with the cumulative variance greater than 85% as input information,ensuring that input variables are minimum and information loss is minimal.and then simplifies the data structure to i-dentify lithology.Based on measured values of gamma ray (GR),deep resistivity (RES_BD),resistivi-ty (RES_BM),shallow resistivity (RES_BS),neutron porosity (TNPH),bulk density (RHOB)and interval transit time (DTCO)in deep-water reservoir of the Qiongdongnan Basin,seven integrated varia-bles were constructed.Principal component 1 and principal component 2,with the total explained vari-ance of 85.1 1 %,can effectively explain the comprehensive information of seven variables.Based on li-thologic data obtained from side-wall core,siltstone,mudstone,and fine sandstone can be identified on the cross plot of principal component 1 and principal component 2.Additionally,the multi-fractal method was used to analyze the spectral function curves.The sandstone corresponds to spectral function curve leaning right and mudstone corresponds to spectral function curves leaning left,which can be used as val-id evidence to distinguish sandstone and mudstone.关键词
琼东南盆地/深水区/岩性识别/主成份/多重分形/谱函数Key words
southeast Qiong basin/deep-water area/lithology identification/principal component/multifractal/spectral function分类
天文与地球科学引用本文复制引用
张焱,周永章,朱继田..基于主成份的多重分形法在岩性识别中的应用[J].中山大学学报（自然科学版）,2015,(3):145-150,157,7.基金项目
“十二五”国家重大科技专项基金资助项目 （）
