Geostatistics Toronto 2021
portes grátis
Geostatistics Toronto 2021
Quantitative Geology and Geostatistics
Srivastava, R. Mohan; Ortiz, Julian M.; Avalos Sotomayor, Sebastian Alejandro
Springer International Publishing AG
02/2023
281
Dura
Inglês
9783031198441
15 a 20 dias
Descrição não disponível.
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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Stochastic Modeling;Uncertainty Quantification;Predictive modeling;Random functions;Open Access
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
