A General Approach to the Assessment of Uncertainty in Volumes by Using the Multi-Gaussian Model
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Authors
Riquelme, Alvaro I.
Ortiz, Julian M.
Date
2019
Type
journal article
Language
en
Keyword
Alternative Title
Abstract
The goal of this research is to derive an approach to assess uncertainty in an arbitrary volume conditioned by sampling data, without using geostatistical simulation. We have accomplished this goal by deriving an numerical tool suitable for any probabilistic distribution of the sample data. For this, we have worked with an extension of the traditional multi-Gaussian model, allowing us to obtain a formulation that makes explicit the dependence of the uncertainty in the arbitrary volume from the grades within the volume, the spatial correlation of the data and the conditioning values. A Kriging of the Gaussian values is the only requirement to obtain not only conditional local means and variances but also the complete local distributions at any support, in an easy and straightforward way.
Description
This is a preprint version of a paper that is or may be under consideration of publication. It does not contain changes and edits that will be made during peer review, or updates, edits and alterations by the authors and the publisher that may occur prior to acceptance and final publication.
Citation
Riquelme AI, Ortiz JM (2019) A general approach to the assessment of uncertainty in volumes by using the multi- Gaussian model, Predictive Geometallurgy and Geostatistics Lab, Queen’s University, Annual Report 2019, paper 2019-06, 73-93.
Publisher
Queen's University