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Geostatistics Toronto 2021: Quantitative Geology and Geostatistics

Geostatistics Toronto 2021

Quantitative Geology and Geostatistics
 
Edition number: 1st ed. 2023
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
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EUR 42.79
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Product details:
ISBN13:9783031198472
ISBN10:3031198476
Binding:Paperback
No. of pages:281 pages
Size:235x155 mm
Weight:548 g
Language:English
Illustrations: 17 Illustrations, black & white; 129 Illustrations, color
590
Category:
Short description:

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.

Long description:

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.


Table of Contents:
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.