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Title Details:
Geostatistics and Ore Reserves Estimation
Authors: Modis, Konstantinos
Valakas, Georgios
Sideri, Daphne
Subject: NATURAL SCIENCES AND AGRICULTURAL SCIENCES > EARTH SCIENCES > GEOGRAPHY > NATURAL RESOURCES
NATURAL SCIENCES AND AGRICULTURAL SCIENCES > EARTH SCIENCES > GEOGRAPHY > GEO-INFORMATICS
NATURAL SCIENCES AND AGRICULTURAL SCIENCES > EARTH SCIENCES > GEOGRAPHY > GEO-INFORMATICS > SPATIAL ANALYSIS
NATURAL SCIENCES AND AGRICULTURAL SCIENCES > EARTH SCIENCES > GENERAL GEOLOGY > MATHEMATICAL GEOLOGY
ENGINEERING AND TECHNOLOGY > TECHNOLOGICAL SCIENCES AND ENGINEERING > MINING AND METALLURGICAL TECHNOLOGY AND ENGINEERING > COAL, LIGNITE AND RADIOACTIVE ORES MINING
ENGINEERING AND TECHNOLOGY > TECHNOLOGICAL SCIENCES AND ENGINEERING > MINING AND METALLURGICAL TECHNOLOGY AND ENGINEERING > MINES
ENGINEERING AND TECHNOLOGY > TECHNOLOGICAL SCIENCES AND ENGINEERING > MINING AND METALLURGICAL TECHNOLOGY AND ENGINEERING > MINING RESEARCH
ENGINEERING AND TECHNOLOGY > TECHNOLOGICAL SCIENCES AND ENGINEERING > MINING AND METALLURGICAL TECHNOLOGY AND ENGINEERING > ROCK MECHANICS
Keywords:
Estimation
Spatial modelling
Simulation
Kriging
Risk assesment
Mineral exploration
Mine planning
Description:
Abstract:
Geostatistics, according to the definition of its founder, G. Matheron, is an application of the theory of Random Functions (RF) in Geosciences. Its goal is the development of efficient interpolation algorithms for the creation of 3D maps of the variable of interest. The aim of the book is to introduce the readers to the basic concepts of Geostatistics and its application to Mineral Exploration problems, the most important being the calculation of reserves of a mineral deposit. In particular, the basic statistical concepts and the corresponding analysis of exploration data for the estimation of ore reserves are included, with reference to the sampling methods and the relative errors introduced by them. The concepts of RF and Regionalized Variables, as well as stochastic estimation in general, are presented in a simplified way. This is followed by an introduction to the tools of spatial analysis, variograms and covariance functions. Kriging algorithms are presented to estimate the features at unsampled locations, based on the available borehole samples. Reference is made to estimation errors and cross-validation methods. This is followed by an introduction to the concept and methods of stochastic simulation as an alternative to estimation, in cases where it is desirable to examine different scenarios for the economic evaluation of the investment. The previous methods are then applied to the spatial mapping of the geotechnical parameters of the deposit and the surrounding formations. The prevailing reserves classification systems and the way to calculate the parameters required to characterize the orebody according to them are described. Finally, enough case studies are presented for all the topics of the book. In most of them, the original data is also available, so that there is the possibility of practicing using programs in R language, which are also available on the Internet.
Linguistic Editors: Oxenkioun, Eleni Elissavet
Graphic Editors: Stavrianou, Irini
Type: Undergraduate textbook
Creation Date: 18-04-2023
Item Details:
ISBN 978-618-5726-77-5
License: Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0)
DOI http://dx.doi.org/10.57713/kallipos-203
Handle http://hdl.handle.net/11419/9348
Bibliographic Reference: Modis, K., Valakas, G., & Sideri, D. (2023). Geostatistics and Ore Reserves Estimation [Undergraduate textbook]. Kallipos, Open Academic Editions. https://dx.doi.org/10.57713/kallipos-203
Language: Greek
Consists of:
1. Introduction and basic concepts of ore reserves estimation
2. Basic statistical concepts and exploration data analysis
3. Sampling and errors
4. The stochastic estimation model
5. Variograms and structural analysis of a RF
6. Theoretical models of variograms and their adaptation
7. Estimation and kriging algorithms
8. Estimation error and cross-validation
9. Introduction to simulation
10. Mapping of geotechnical parameters
11. Classification of mineral resources and ore reserves
12. Case studies
Number of pages 330
Publication Origin: Kallipos, Open Academic Editions
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