Decomposed and weighted characteristic analysis for the quantitative estimation of mineral resources |
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Authors: | Guocheng Pan and DeVerle P Harris |
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Institution: | (1) NERCO Exploration Company, 500 NE Multnomah, 97232 Portland, Oregon;(2) Department of Mining and Geological Engineering, University of Arizona, 85721 Tucson, Arizona |
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Abstract: | Characteristic analysis has been employed as a means of selecting favorable targets for mineral exploration. This paper describes a new version of characteristic analysis that is designed to estimate mineral resources as well as delineating exploration targets. The new version, referred to as decomposed and weighted characteristic analysis, employs a weighting scheme for both samples and variables involved in the model to extract the useful information on tonnages and the order of importance of variables. To construct a decomposed model, an optimum cutting technique for the ordered quantity is developed. The model is demonstrated on a case study of pegmatitic Nb-Ta deposits in China. |
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Keywords: | decomposed and weighted characteristic analysis mineral resources estimation Nb-Ta deposit optimum cutting |
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