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Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics / / edited by Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava



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Autore: Avalos Sotomayor Sebastian Alejandro Visualizza persona
Titolo: Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics / / edited by Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava Visualizza cluster
Pubblicazione: 2023
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (282 pages)
Disciplina: 624.151
Soggetto topico: Geotechnical engineering
Statistics
Geophysics
Geotechnical Engineering and Applied Earth Sciences
Applied Statistics
Classificazione: MAT029000SCI019000SCI032000
Altri autori: OrtizJulian M  
SrivastavaR. Mohan  
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Geostatistics Toronto 2021  Visualizza cluster
ISBN: 3-031-19845-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910669808203321
Lo trovi qui: Univ. Federico II
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Serie: Springer Proceedings in Earth and Environmental Sciences, . 2524-3438