Geostatistics Toronto 2021
Quantitative Geology and Geostatistics
Contributor(s)
Avalos Sotomayor, Sebastian Alejandro (editor)
Ortiz, Julian M. (editor)
Srivastava, R. Mohan (editor)
Language
EnglishAbstract
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.
Keywords
Stochastic Modeling; Uncertainty Quantification; Predictive modeling; Random functionsDOI
10.1007/978-3-031-19845-8ISBN
9783031198458, 9783031198458Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
Cham, 2023Imprint
Springer International PublishingSeries
Springer Proceedings in Earth and Environmental Sciences,Classification
Earth sciences
Probability and statistics
Geophysics