Geostatistics Toronto 2021 : quantitative geology and geostatistics / Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava, editors.
International Geostatistics Congress (11th : 2021 : Online); Avalos Sotomayor, Sebastian Alejandro, editor.; Ortiz, Julian M. editor.; Srivastava, R. Mohan, editor.
2023
QE33.2.S82
Available Online

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Title
Geostatistics Toronto 2021 : quantitative geology and geostatistics / Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava, editors.
Meeting Name
International Geostatistics Congress (11th : 2021 : Online)
ISBN
9783031198458 (electronic bk.)
303119845X (electronic bk.)
9783031198441
DOI
https://doi.org/10.1007/978-3-031-19845-8
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (xvii, 281 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-19845-8 doi
Call Number
QE33.2.S82
Dewey Decimal Classification
551.072/7
Summary
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.
Note
Includes author index.
Access Note
Open access.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 28, 2023).
Added Author
Avalos Sotomayor, Sebastian Alejandro, editor.
Ortiz, Julian M. editor.
Srivastava, R. Mohan, editor.
Series
Springer proceedings in earth and environmental sciences, 2524-3438
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
A Geostatistical Heterogeneity Metric For Spatial Feature Engineering
Iterative Gaussianisation For Multivariate Transformation
Comparing And Detecting Stationarity And Dataset Shift
Simulation Of Stationary Gaussian Random Fields With A Gneiting Spatio-Temporal Covariance
Spectral Simulation Of Gaussian Vector Random Fields On The Sphere
Geometric And Geostatistical Modeling Of Point Bars
Application Of Reinforcement Learning For Well Location Optimization
Compression-Based Modelling Honouring Facies Connectivity In Diverse Geological Systems
Spatial Uncertainty In Pore Pressure Models At The Brazilian Continental Margin
The Suitability Of Different Training Images For Producing Low Connectivity, High Net:Gross Pixel-Based Mps Models
Probabilistic Integration Of Geomechanical And Geostatistical Inferences For Mapping Natural Fracture Networks.

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