Pages that link to "Item:Q1863230"

The following pages link to Conditional simulation of complex geological structures using multiple-point statistics (Q1863230):

Displaying 50 items.

• Kernel principal component analysis for efficient, differentiable parametrization of multipoint geostatistics (Q930824) (← links)
• Multiple-point simulations constrained by continuous auxiliary data (Q930831) (← links)
• A distance-based prior model parameterization for constraining solutions of spatial inverse problems (Q934752) (← links)
• The nu expression for probabilistic data integration (Q937145) (← links)
• Reconstruction of incomplete data sets or images using direct sampling (Q964861) (← links)
• A reconstruction method of porous media integrating soft data with hard data (Q965496) (← links)
• Transitive geostatistics for stepwise modeling across boundaries between rock regions (Q972666) (← links)
• Application of multiple point geostatistics to non-stationary images (Q1023959) (← links)
• Hierarchical geostatistical analysis of an experimental stratigraphy (Q1023968) (← links)
• Sub-pixel mapping of coarse satellite remote sensing images with stochastic simulations from training images (Q1025587) (← links)
• Stationarity scores on training images for multipoint geostatistics (Q1028770) (← links)
• Fast FILTERSIM simulation with score-based distance (Q1035753) (← links)
• Subsurface characterization using a cellular automaton approach (Q1035768) (← links)
• Two-dimensional conditional simulations based on the wavelet decomposition of training images (Q1037538) (← links)
• The tau model for data redundancy and information combination in earth sciences: theory and application (Q1042530) (← links)
• Stepwise conditional transformation for simulation of multiple variables (Q1402239) (← links)
• High-order spatial simulation using Legendre-like orthogonal splines (Q1622854) (← links)
• A new computational model of high-order stochastic simulation based on spatial Legendre moments (Q1629756) (← links)
• Observable dictionary learning for high-dimensional statistical inference (Q1639590) (← links)
• Robust optimization of subsurface flow using polynomial chaos and response surface surrogates (Q1640356) (← links)
• Reconstruction of spatial data using isometric mapping and multiple-point statistics (Q1640364) (← links)
• A probabilistic parametrization for geological uncertainty estimation using the ensemble Kalman filter (EnKF) (Q1663452) (← links)
• Training image-based scenario modeling of fractured reservoirs for flow uncertainty quantification (Q1663483) (← links)
• A simulation-based geostatistical approach to real-time reconciliation of the grade control model (Q1698331) (← links)
• Investigation on principal component analysis parameterizations for history matching channelized facies models with ensemble-based data assimilation (Q1698334) (← links)
• Direct forecasting of reservoir performance using production data without history matching (Q1702373) (← links)
• Smart interpretation -- automatic geological interpretations based on supervised statistical models (Q1702385) (← links)
• Bayesian model selection for complex geological structures using polynomial chaos proxy (Q1702394) (← links)
• Image transforms for determining fit-for-purpose complexity of geostatistical models in flow modeling (Q1705881) (← links)
• Calibration of categorical simulations by evolutionary gradual deformation method (Q1710349) (← links)
• Ensemble-based assimilation of nonlinearly related dynamic data in reservoir models exhibiting non-Gaussian characteristics (Q1715419) (← links)
• Pseudo-outcrop visualization of borehole images and core scans (Q1719829) (← links)
• Reconstruction of channelized systems through a conditioned reverse migration method (Q1719832) (← links)
• Reconstruction of three-dimensional aquifer heterogeneity from two-dimensional geophysical data (Q1719849) (← links)
• Hybrid inversion method to estimate hydraulic transmissivity by combining multiple-point statistics and a direct inversion method (Q1719858) (← links)
• Geostatistical inversion of seismic oceanography data for ocean salinity and temperature models (Q1719896) (← links)
• Multiple artificial neural networks with interaction noise for estimation of spatial categorical variables (Q1736824) (← links)
• Enhanced multiple-point statistical simulation with backtracking, forward checking and conflict-directed backjumping (Q1740327) (← links)
• Uncertainty quantification in reservoir prediction. I: Model realism in history matching using geological prior definitions (Q1740335) (← links)
• Uncertainty quantification in reservoir prediction. II: Handling uncertainty in the geological scenario (Q1740336) (← links)
• History matching of multi-facies channelized reservoirs using ES-MDA with common basis DCT (Q1785160) (← links)
• Machine-learning-based modeling of coarse-scale error, with application to uncertainty quantification (Q1787655) (← links)
• Change-of-support models on irregular grids for geostatistical simulation (Q1789186) (← links)
• A new approach for conditioning process-based geologic models to well data (Q1789191) (← links)
• Geostatistical modelling of cyclic and rhythmic facies architectures (Q1789223) (← links)
• A frequency matching method: solving inverse problems by use of geologically realistic prior information (Q1929965) (← links)
• Memory-efficient categorical multi-point statistics algorithms based on compact search trees (Q1929975) (← links)
• Parametric generation of conditional geological realizations using generative neural networks (Q2009823) (← links)
• Value of information of time-lapse seismic data by simulation-regression: comparison with double-loop Monte Carlo (Q2009835) (← links)
• Markov chain random fields in the perspective of spatial Bayesian networks and optimal neighborhoods for simulation of categorical fields (Q2009839) (← links)