Advanced Geostatistics in the Mining Industry: Proceedings by G. Matheron (auth.), Massimo Guarascio, Michel David,

By G. Matheron (auth.), Massimo Guarascio, Michel David, Charles Huijbregts (eds.)

When Prof. Hatheron was once requested to delineate the heritage of geostatistics, he objected that such self-discipline continues to be too "young" to be handled from a old standpoint. The a growing number of expanding sensible functions requiring more moderen and more moderen methodologies might really recommend the need of empha­ sizing the stairs taken and the implications bought in past times. the explanation of sure epistemological offerings in addition to the difficul­ ties and luck in setting up a discussion with the folks probably to profit from the result of geostatistics are important premises to appreciate the current prestige of this self-discipline. The human bearing of characters of the folks that experience introduc­ ed and studied this technology mixing concept with monetary prac­ tics is an element enjoying a now not inconsiderable position within the enhance­ ment of geostatistics. those techniques have been the ideas in organizing the ASI-Geo­ stat seventy five. Canada, France and Italy are 3 diverse events in an business and educational context, specially within the interac­ tion among those fields. but it used to be our impact that the time had come to gather specialists, students, and folks in­ terested in geostatistics with a view to review its current posi­ tion on a number of degrees within the varied nations and to debate its destiny customers. Prof. Hatheron and Hr. Krige in addition to different admired humans have been of a similar opinion.

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This is an unnecessary step in kriging since if clusters of samples occur, the introduction of the covariances between sample: automatically splits the influence among the constituents of the cluster avoiding its overrepresentation. We still face however the problem of efficiently scanning 'the dat a file to find the neil bours. Sorting the data file. It is of cours e totally unfeasable to scan the complete file for each block, recording the close ones. Jnated; this ranking, COl bined with a maximum toler able distance allows a limited scanning of the file; as soon as a given nwnber of blocks has been examinel one stops scanning.

This is the subroutine which will make the difference between a good program and an expensive one. This is a common computing problem and is known as the inside- outside problem. Such a method has been successfully used for several Canadian deposits. Experience has shown So far 44 M. DAVID that having about 200 points within a stope is sufficient . There exist programs which pretend to achieve a better precision by nsinl up to 100,000 points. This is of course totally ridiculous and very expensive; spending a lot does not necessarily means having a better precision.

It wi ll then be shown how these concepts together with techniques like ptulctual , random, or irregular block kriging will lead to the practical production of useful kriging plans, provided the right question has been asked . 1. INTRODUCTION As a teChnique in ore reserve estimation, kriging as we know it is already 15 years old, and still puzzling most of the mining people . As a statistical technique, it has nothing new, since it can be expressed as plain r egression with or without correlated residuals (Watson 1971) , as such it has been briefly tested in simple problems, mos t of the time i n t wo dimensions, and gener ally fotuld to only have a marginal advantage in the quality of the estimate , and a definite drawbac k in its computer cost .

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