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.

• Fast linearized forecasts for subsurface flow data assimilation with ensemble Kalman filter (Q341509) (← links)
• A probabilistic graphical model based stochastic input model construction (Q349388) (← links)
• Indicator simulation accounting for multiple-point statistics (Q354121) (← links)
• An iterative stochastic ensemble method for parameter estimation of subsurface flow models (Q401591) (← links)
• Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques (Q410014) (← links)
• The kappa model of probability and higher-order rock sequences (Q416064) (← links)
• Extrapolating the fractal characteristics of an image using scale-invariant multiple-point statistics (Q434212) (← links)
• DFTopoSim: modeling topographically-controlled deposition of subseismic scale sandstone packages within a mass transport dominated deep-water channel belt (Q500718) (← links)
• Construction of binary multi-grid Markov random field prior models from training images (Q500730) (← links)
• Stochastic simulation of patterns using Bayesian pattern modeling (Q509792) (← links)
• Updating Markov chain models using the ensemble Kalman filter (Q536589) (← links)
• Performance of the ensemble Kalman filter outside of existing wells for a channelized reservoir (Q536591) (← links)
• An improved parallel multiple-point algorithm using a list approach (Q539047) (← links)
• A comparison of random field models beyond bivariate distributions (Q632145) (← links)
• A probability conditioning method (PCM) for nonlinear flow data integration into multipoint statistical facies simulation (Q632151) (← links)
• Facies modeling using a Markov mesh model specification (Q635945) (← links)
• Kernel principal component analysis for stochastic input model generation (Q655052) (← links)
• Complex geology estimation using the iterative adaptive Gaussian mixture filter (Q722788) (← links)
• Fast wavelet-based stochastic simulation using training images (Q722820) (← links)
• Integration of Markov mesh models and data assimilation techniques in complex reservoirs (Q722860) (← links)
• Data assimilation and uncertainty assessment for complex geological models using a new PCA-based parameterization (Q723072) (← links)
• Bridging multipoint statistics and truncated Gaussian fields for improved estimation of channelized reservoirs with ensemble methods (Q723115) (← links)
• Regularized kernel PCA for the efficient parameterization of complex geological models (Q727617) (← links)
• CDFSIM: efficient stochastic simulation through decomposition of cumulative distribution functions of transformed spatial patterns (Q745741) (← links)
• Special issue on 20 years of multiple-point statistics. I. (Q745859) (← links)
• Can a training image be a substitute for a random field model? (Q745860) (← links)
• Comparing training-image based algorithms using an analysis of distance (Q745862) (← links)
• Solving speed and memory issues in multiple-point statistics simulation program SNESIM (Q745865) (← links)
• Addressing conditioning data in multiple-point statistics simulation algorithms based on a multiple grid approach (Q745867) (← links)
• Using multiple grids in Markov mesh facies modeling (Q745871) (← links)
• Multiple-point simulation with an existing reservoir model as training image (Q745872) (← links)
• Mapping curvilinear structures with local anisotropy kriging (Q816075) (← links)
• High-order statistics of spatial random fields: Exploring spatial cumulants for modeling complex non-Gaussian and non-linear phenomena (Q848931) (← links)
• Object models with vector steering (Q862897) (← links)
• Spectral simulation and conditioning to local continuity trends in geologic modeling (Q862904) (← links)
• Filter-based classification of training image patterns for spatial simulation (Q862908) (← links)
• The probability perturbation method: a new look at Bayesian inverse modeling (Q862910) (← links)
• The necessity of a multiple-point prior model (Q883167) (← links)
• Adaptive conditioning of multiple-point statistical facies simulation to flow data with probability maps (Q887564) (← links)
• Simultaneous estimation of geologic and reservoir state variables within an ensemble-based multiple-point statistic framework (Q887566) (← links)
• Conditioning of multiple-point statistics facies simulations to tomographic images (Q887570) (← links)
• A new differentiable parameterization based on principal component analysis for the low-dimensional representation of complex geological models (Q887589) (← links)
• A multiple training image approach for spatial modeling of geologic domains (Q887591) (← links)
• Bayesian Markov chain random field cosimulation for improving land cover classification accuracy (Q887625) (← links)
• Boosting kernel-based dimension reduction for jointly propagating spatial variability and parameter uncertainty in long-running flow simulators (Q887633) (← links)
• Improving the pattern reproducibility of multiple-point-based prior models using frequency matching (Q888360) (← links)
• Conditioning truncated pluri-Gaussian models to facies observations in ensemble-Kalman-based data assimilation (Q888362) (← links)
• History matching through a smooth formulation of multiple-point statistics (Q888368) (← links)
• Multivariate imputation of unequally sampled geological variables (Q888402) (← links)
• GPU-accelerated 3D reconstruction of porous media using multiple-point statistics (Q894218) (← links)