Crustal Abundance Modeling of Mineral Resources: Recent Investigations and Preliminary Results

  • DeVerle P. Harris
Part of the Computer Applications in the Earth Sciences book series (CAES)


This paper reviews the evolution of crustal abundance models from the early univariate stock-based models of element concentration, to a bivariate statistical model of deposit size and grade, and ultimately to a multivariate model (4-dimensional). The extension to a multivariate statistical model is motivated by the desire to use a crustal abundance model to estimate resources and potential supply. Such use requires that the model possess the structure to permit credible costing of exploration and production. Accommodating such a requirement leads to specification of a statistical model that describes deposit size, grade, depth, and intradeposit grade variance. This paper reports on a preliminary investigation of the estimation of such a model for U.S. uranium.


Average Grade Uranium Deposit Multivariate Statistical Model Cumulative Production Open File Report 


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Copyright information

© Plenum Press, New York 1988

Authors and Affiliations

  • DeVerle P. Harris
    • 1
  1. 1.University of ArizonaUSA

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