Introduction to Mining Geostatistics: Intuitive Applications with Excel and R introduces the basic concepts of geostatistics and their application to mineral exploration and other geoscientific problems, focusing on the estimation of reserves of a mineral deposit. The authors begin with an introduction to the basic concepts of ore reserves estimation as well as basic statistics and exploratory data analysis. An exploration of variograms and structural analysis of a random function is followed by a look at theoretical variogram models and variogram fitting. The chapters then review estimation and kriging along with estimation errors and validation.
Simulations are introduced and followed by modeling for geotechnical parameters. Final chapters include several case studies to help illustrate and crystallize the preceding concepts. This valuable resource offers fundamental support for those working in mining geostatistics with Excel and R.
Table of Contents
1. Introduction and basic concepts of ore reserves estimation 2. Basic statistics and exploratory data analysis 3. Sampling and induced errors 4. The model of stochastic estimation 5. Variograms and structural analysis of a random function 6. Theoretical variogram models and variogram fitting 7. Estimation and kriging 8. Estimation errors and validation 9. Introduction to simulation 10. Modeling geotechnical parameters 11. Classification of mineral resources 12. Case studies
Authors
Konstantinos Modis National Technical University of Athens, Athens, Greece.
Mr. Konstantinos Modis graduated from the Department of Mining - Metallurgical Engineering of the EMP. in 1986 and received his PhD in the field of Geostatistics in 1992. He worked for more than five years in the mining industry of Greece (Aegean Metallurgical Industries, Hellenic Industrial and Mining Investment Company). Since 2003 he belongs to the teaching staff of the School. His research interests are in the estimation of ore reserves, as well as the development of stochastic models incorporating physical laws in areas such as geothermal, rock mechanics and groundwater flow. He has published more than 50 articles in scientific journals and conferences and one book. He has been awarded by the Academy of Athens.
George Valakas Senior Researcher, School of Mining and Metallurgical Engineering, National Technical University of Athens (NTUA), Greece.
Dr. George Valakas is a senior researcher at the School of Mining and Metallurgical Engineering at the National Technical University of Athens (NTUA), where he earned his Ph.D. specializing in geostatistics and optimization methods. Within this institution, he now serves as a dedicated lecturer and actively engages in various education projects supported by EIT Raw Materials. His educational journey began with an undergraduate degree in Statistics from Athens University of Economics and Business, and he further expanded his knowledge by obtaining a M.Sc. degree in Environmental Analysis of Terrestrial Systems from the University of Sheffield in the UK. His primary areas of expertise encompass geostatistics, optimization methods, mineral exploration, and the innovative development of interactive educational tools that adeptly integrate complex concepts and theories within the overarching framework of sustainable development principles. He is the recipient of a prestigious postdoctoral fellowship, awarded by the State Scholarships Foundation of Greece. The primary objective of this fellowship was to develop an R package for applying Plurigaussian simulation and co-simulation between facies and continuous variables, further demonstrating his commitment to advancing this field.
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