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Computer-Aided Decision Techniques for Hydrogeochemical Uranium Exploration

  • Patrice Poyet
Part of the Computer Applications in the Earth Sciences book series (CAES)

Abstract

Multivariate analysis has been recognized as a powerful tool in geochemical exploration, but special emphasis also has been given to the necessity to complete adequate preliminary investigation of the data before attempting to use sophisticated data processing and manipulations. The methodology presented here relies on extensive experience with multivariate methods gained from the processing of large case studies coming from surveys carried out by French mining companies using hydrogeochemical uranium exploration. We have developed a robust methodological approach and a set of integrated software available on microcomputers to model the distribution of elements in water analysis and to account for the mixing of the geochemical end-members observed and to tackle the definition of an adjustable modeling of background compositions and of their related anomalies after the removal of the disturbing outliers from the recognized statistical populations has been achieved. The policies used lead to an efficient set of data processing, data integration, and data representation software making it possible to offer practical assistance to the exploration geochemist when faced with decision-making processes.

Keywords

Factor Score Silicified Layer Logical Predicate Geochemical Exploration Homogeneous Subset 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1992

Authors and Affiliations

  • Patrice Poyet
    • 1
  1. 1.Centre Scientifique et Technique Du BatimentValbonneFrance

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