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Geostatistics Toronto 2021quantitative geology and geostatistics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Geostatistics Toronto 2021edited by Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava.
Reminder of title:	quantitative geology and geostatistics /
other author:	Avalos Sotomayor, Sebastian Alejandro.
corporate name:
Published:	Cham :Springer International Publishing :2023.
Description:	xvii, 281 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	GeologyCongresses.Statistical methods
Online resource:	https://doi.org/10.1007/978-3-031-19845-8
ISBN:	9783031198458$q(electronic bk.)

Geostatistics Toronto 2021quantitative geology and geostatistics /
Geostatistics Toronto 2021quantitative geology and geostatistics /[electronic resource] :edited by Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava. - Cham :Springer International Publishing :2023. - xvii, 281 p. :ill. (some col.), digital ;24 cm. - Springer proceedings in earth and environmental sciences,2524-3438. - Springer proceedings in earth and environmental sciences..

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.

Open access.

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.

ISBN: 9783031198458$q(electronic bk.)

Standard No.: 10.1007/978-3-031-19845-8doiSubjects--Topical Terms:

444776
Geology
--Statistical methods--Congresses.

LC Class. No.: QE33.2.S82 / I57 2021

Dewey Class. No.: 551.0727

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505 0 $a 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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520 $a 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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