Application of Multivariate Statistical Analysis to Geochemical Differentiation of Dolomite
Multivariate statistical analysis of major and minor element geochemical data is used to analyze dolomite in the offshore facies of the Bonneterre Formation (Cambrian), southern Missouri. Relationships among geochemical data are established, using factor analysis, which differentiate two dolomites having different diagenetic histories. Application of Bayes' formula to the geochemical data permit discriminant functions to be constructed, containing only two geochemical parameters, which identify the major dolomite types. The results of factor analysis are consistent with previous analysis of the dolomite based on petrography and stratigraphic occurrence. This method is easy to use and may be useful in cases where petrographic methods or non-statistical analysis of geochemical data are unable to differentiate dolomite types.
S. Tian and J. M. Gregg, "Application of Multivariate Statistical Analysis to Geochemical Differentiation of Dolomite," Carbonates and Evaporites, vol. 6, no. 1, pp. 75-82, Springer Verlag, Mar 1991.
The definitive version is available at http://dx.doi.org/10.1007/BF03175384
Geosciences and Geological and Petroleum Engineering
Keywords and Phrases
Bayes Formula; Bonneterre Formation; Cambrian; Dolomite; Factor Analysis; Statistical Analysis; USA, Missouri
International Standard Serial Number (ISSN)
Article - Journal
© 1991 Springer Verlag, All rights reserved.