Journal ArticleDOI
The lognormal approach to predicting local distributions of selective mining unit grades
TLDR
In this article, the local distributions of mining unit grades within large panels suitable for long-range mine planning are derived from exploration data, and cross validations of these techniques using the exploration data of the Imouraren uranium deposit are presented.Abstract:
When planning highly selective mining operations, the challenge is to estimate mineable ore reserves that will be selected at the mining stage. From exploration data it is not possible to estimate accurately the grade (or thickness) of each future selective mining unit; however, it is possible to estimate the local distributions of these mining unit grades within large panels suitable for long-range mine planning. Application of a cut-off then allows estimation of the recovered ore tonnage and grade within each such panel. Derivation of local conditional distributions is rather simple when the grade is either normally or lognormally distributed. The geologically important lognormal case is fully described both in the stationary and the nonstationary case. Cross validations of these techniques using the exploration data of the Imouraren uranium deposit are presented.read more
Citations
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Book
GSLIB: Geostatistical Software Library and User's Guide
TL;DR: In this paper, the authors present a set of programs that summarize data with histograms and other graphics, calculate measures of spatial continuity, provide smooth least-squares-type maps, and perform stochastic spatial simulation.
Book ChapterDOI
Application of Geostatistics to Spatial Studies of Soil Properties
TL;DR: Geostatistical analysis of spatial variability is applied to estimation of ore reserves in the mining industry, water resources research, soil science, and archaeology as mentioned in this paper, and identifies some future applications of geostatistics to spatial studies in soil and agronomic research.
Book
Applied Geostatistics with SGeMS: A User's Guide
TL;DR: In this article, the authors present a general overview of Geostatistics: a recall of concepts, data sets, SGeMS EDA tools, common parameter input interfaces, estimation algorithms and stochastic simulation algorithms.
Journal ArticleDOI
Geostatistical Interpolation of Positively Skewed and Censored Data in a Dioxin-Contaminated Site
Hirotaka Saito,Pierre Goovaerts +1 more
TL;DR: In this paper, the authors compared the performance of four geostatistical algorithms (ordinary kriging, log-normal, multi-Gaussian and indicator Kriging) through the cross validation of a set of 600 dioxin concentrations.
Journal ArticleDOI
A Stochastic Approach to the Problem of Upscaling of Conductivity in Disordered Media: Theory and Unconditional Numerical Simulations
TL;DR: In this article, a method is proposed to upscale the conductivity measurements observed at a given scale to block conductivity values for arbitrary block size, assuming a multilognormal distribution for the point conductivities.
References
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Journal ArticleDOI
The Lognormal Distribution.
J. Aitchison,J. A. C. Brown +1 more
TL;DR: Lloyds Bank has its main root in a substantial private bank founded in Birmingham nearly two centuries ago; one hundred years ago this Bank still had only the one office in Birmingham, with a related private banking house in Lombard Street, and by amalgamation it has absorbed scores of other eighteenth and nineteenth century banks, both private and joint stock, and at least two of the former reach back into Restoration London, perhaps Cromwellian London.
Book
The lognormal distribution
TL;DR: Lloyds Bank has its main root in a substantial private bank founded in Birmingham nearly two centuries ago; one hundred years ago this Bank still had only the one office in Birmingham, with a related private banking house in Lombard Street, and by amalgamation it has absorbed scores of other eighteenth and nineteenth century banks, both private and joint stock, and at least two of the former reach back into Restoration London, perhaps Cromwellian London.
Book ChapterDOI
A Simple Substitute for Conditional Expectation : The Disjunctive Kriging
TL;DR: In this article, a new procedure for non-linear estimation is proposed, which is better than the usual best linear estimation, and necessitates less prerequisites than the conditional expectation.
Book ChapterDOI
Linear Estimation of non Stationary Spatial Phenomena
TL;DR: In this paper, it is known that the simple and appealing model: variable = deterministic drift + random fluctuation stumbles on the problem of identification of the underlying covariance or variogram.
Journal ArticleDOI
Normal and lognormal estimation
TL;DR: In this article, a comprehensive theoretical study of the problem of estimation of regionalized variables with normal or lognormal distribution is presented, under both assumptions that the population mean is known and unknown, and their error variance is calculated.