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    Geostatistics Toronto 2021

    Quantitative Geology and Geostatistics

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    Contributor(s)
    Avalos Sotomayor, Sebastian Alejandro (editor)
    Ortiz, Julian M. (editor)
    Srivastava, R. Mohan (editor)
    Language
    English
    Show full item record
    Abstract
    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.
    URI
    https://library.oapen.org/handle/20.500.12657/61875
    Keywords
    Stochastic Modeling; Uncertainty Quantification; Predictive modeling; Random functions
    DOI
    10.1007/978-3-031-19845-8
    ISBN
    9783031198458, 9783031198458
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2023
    Imprint
    Springer International Publishing
    Series
    Springer Proceedings in Earth and Environmental Sciences,
    Classification
    Earth sciences
    Probability and statistics
    Geophysics
    Pages
    281
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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