Analysis of downhole logging data from CRP-2/2A, Victoria Land Basin, Antarctica: a multivariate statistical approach
Analysis of downhole logging data from CRP-2/2A, Victoria Land Basin, Antarctica: a multivariate statistical approach
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南极洲维多利亚陆盆地 CRP-2/2A 井下测井数据分析:多元统计方法
DOI:
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发表时间:
2000
期刊:
影响因子:
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通讯作者:
J. Brink
中科院分区:
文献类型:
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作者:
C. Bücker;R. Jarrard;T. Wonik;J. Brink
Ahslract In the northern McMin-tIo Sound (Ross Sea, Antarctica). the CRP-212A drillhole tar~etccl the western margin of the Victoria Land Basin to investigate Neogcne to l'alaeogene elin~atic and tectonic Ilistory by o b t i ~ i ~ i i ~ ~ g conti~ii~oiis core Z I I I ~ ~iowii110Ie logs, Wcll logging of ('RI'-212A has provided a complete and comprehensive datasct of in ¥iil geopliysical measurements. i s e r describes l e v 1 1 t i o 1 I i~ i te rpre t~ t io~i f l o w i l o l e l o g c 1 1 1 inultivariate statistical methods. Two major types of multivariate statistical methods were each yielding a different perspective: (1) Factor analysis was used as an objective tool for classification of the drilled sequence based on physical and chemical properties. The factor logs arc mirroring the basic geological controls (i.e.. grain size. porosity. clay mineralogy) behind the measured geophysical properties, thereby making them easier to interpret geologically. (2) Cluster analysis of the logs groups similar downhole geophysical properties into one cluster. delineating individual loggingoor sedimentological units. These objectively and independently defined units, or statistical electrofacies. are helpful in differentiating lithological and sedimentological characterisations (e.g. grain size, provenance). The multivariate statistical methods of factor and cluster analysis proved to be powerful tools for fast, reliable, and objective characterisation of downhole geophysical properties at CRP-212A. resulting in interpretations which are consistent with scclimentological findings.