Abstract
A geostatistical study of the geometry of an orebody must involve the morphological information usually obtained from the core samples. Image modelling of observable data is designed to take account of the samples location and the orientation of strata. A mathematical morphology concept, the global approach of calculating transitive covariances, is presented for the structural analysis of irregular spaced sample images. Important structural parameters, such as the slope of the tangent at the origin of the covariances, are obtained for a complete rose of directions. A case study of a complex sulphide deposit is presented.
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© 1989 Springer Science+Business Media Dordrecht
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Soares, A.O. (1989). Use of a Mathematical Morphology Tool in Characterizing Covariances of Indicator Data. In: Armstrong, M. (eds) Geostatistics. Quantitative Geology and Geostatistics, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-6844-9_15
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DOI: https://doi.org/10.1007/978-94-015-6844-9_15
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-015-6846-3
Online ISBN: 978-94-015-6844-9
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