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Conference Proceedings

11th International Mining Geology Conference 2019

Conference Proceedings

11th International Mining Geology Conference 2019

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Destroying the distinction between explicit and implicit geological modelling

Mathematically and topologically there is a clear distinction between the terms explicit and implicit surface modelling. In the mining and financial industries, however, these terms have come to represent something else. To some people, they represent a divide, a division, a hard boundary (to use a geostatistical term) that is considered the border between good and evil. The misconception that a geological model made with the assistance of a so-called implicit modelling tool is either better or worse than a model made with a so-called traditional or explicit tool or methodology needs to be destroyed. The same divide existed during the change over from sectional pencil and paper modelling to sectional computer-based modelling and that was overcome (eventually). The same divide also existed (and still exists in some places) around the use of ordinary kriging instead of inverse distance for block estimation. Implicit models require significant amounts of manual input before they are fit for use and the same levels of geological, volumetric and statistical validation. They also require peer review. The primary advantage of implicit modelling methods is speed, not accuracy, not unbiasedness, not detail, but speed. Speed leads to the ability to test multiple scenarios and models and allows for modelling by trial and error. Think model examine accept / reject modify repeat until happy. This presentation examines some history of methods of geological modelling, the origin of the term implicit in this context and proposes that there is not much that is implicit about implicit modelling. CITATION: Kentwell, D J, 2019. Destroying the distinction between explicit and implicit geological modelling, in Proceedings Mining Geology 2019, pp 154160 (The Australasian Institute of Mining and Metallurgy: Melbourne).
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  • Published: 2018
  • PDF Size: 0.346 Mb.
  • Unique ID: P201908020

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