Overview
- Provides state-of-the-art theory and application in geostatistics
- Contains peer-reviewed articles of world-leading expert authors
- Expands and incorporates Artificial Intelligence and Machine Learning geostatistical applications
- This book is open access, which means that you have free and unlimited access
Part of the book series: Springer Proceedings in Earth and Environmental Sciences (SPEES)
Included in the following conference series:
Conference proceedings info: GEOSTATS 2021.
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About this book
This open access book provides state-of-the-art theory and application in geostatistics.
Geostatistics Toronto 2021 includes 28 short abstracts, 18 extended abstracts, and 7 full articles in the fields of geostatistical theory, multi-point statistics, earth sciences, mining, optimal drilling, domains, seismic, classification uncertainty risk, and artificial intelligence and machine learning. All contributions were presented at the 11th International Geostatistics Congress held in virtually at Toronto, Canada, from July 12-16, 2021.
This book is valuable to researchers, scientists, and practitioners in geology, mining, petroleum, geometallurgy, mathematics, and statistics.
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Keywords
Table of contents (17 papers)
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Front Matter
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Theory
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Petroleum
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Mining
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Other volumes
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Geostatistics Toronto 2021
Editors and Affiliations
About the editors
Dr. Sebastian Alejandro Avalos Sotomayor is a Mining Engineer and Master in Mining from Universidad de Chile and Ph.D. from Queen’s University. Currently, he is a Postdoctoral Fellow at Queen’s University. With 9 years of experience, he focuses on the application of conventional and advanced predictive modeling techniques in geometallurgical modeling.
Dr. Julian Maximiliano Ortiz Cabrera is a Mining Engineer from Universidad de Chile and Ph.D. from University of Alberta. Currently, he is Head and Associate Professor at Queen’s University, where he teaches geostatistics and surface mining courses and conducts research related to ore body estimation and simulation and geometallurgical modeling. He has over 20 years of consulting experience in ore body modeling, predictive geometallurgy, and technology adoption.
R. Mohan Srivastava obtained his B.Sc. from Massachsetts Institute of Technology and M.Sc. Geostatistics from Stanford University. He has more than 40 years of experience as a geostatistician. He is author of the book “An Introduction to Applied Geostatistics” and of more than 50 technical articles on theory and practice. In mining, his consulting work spans project development from exploration through to short-term production planning.Bibliographic Information
Book Title: Geostatistics Toronto 2021
Book Subtitle: Quantitative Geology and Geostatistics
Editors: Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava
Series Title: Springer Proceedings in Earth and Environmental Sciences
DOI: https://doi.org/10.1007/978-3-031-19845-8
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2023
Hardcover ISBN: 978-3-031-19844-1Published: 24 February 2023
Softcover ISBN: 978-3-031-19847-2Published: 24 February 2023
eBook ISBN: 978-3-031-19845-8Published: 23 February 2023
Series ISSN: 2524-342X
Series E-ISSN: 2524-3438
Edition Number: 1
Number of Pages: XVII, 281
Number of Illustrations: 17 b/w illustrations, 129 illustrations in colour
Topics: Geotechnical Engineering & Applied Earth Sciences, Applied Statistics, Geophysics/Geodesy