Geostatistics Toronto 2021 Quantitative Geology and Geostatistics

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, domain...

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Detalles Bibliográficos
Autor principal: Avalos Sotomayor, Sebastian Alejandro (-)
Otros Autores: Ortiz, Julian M., Srivastava, R. Mohan
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2023.
Edición:1st ed. 2023.
Colección:Springer Proceedings in Earth and Environmental Sciences,
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009740856006719
Tabla de Contenidos:
  • 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.