The following pages link to SGeMS (Q25213):
Displaying 50 items.
- Optimizing mining complexes with multiple processing and transportation alternatives: an uncertainty-based approach (Q319952) (← links)
- Network-flow based algorithms for scheduling production in multi-processor open-pit mines accounting for metal uncertainty (Q322445) (← links)
- Algebraic multiscale solver for flow in heterogeneous porous media (Q348701) (← links)
- Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques (Q410014) (← links)
- Enhanced linearized reduced-order models for subsurface flow simulation (Q413999) (← 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)
- An improved parallel multiple-point algorithm using a list approach (Q539047) (← links)
- Analysis of the anisotropic spatial variability and three-dimensional computer simulation of agricultural soil bulk density in an alluvial plain of north China (Q604194) (← 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)
- Reduced-order modeling for thermal recovery processes (Q680278) (← links)
- Towards a hierarchical parametrization to address prior uncertainty in ensemble-based data assimilation (Q722777) (← links)
- Ensemble level upscaling for compositional flow simulation (Q722834) (← links)
- Data assimilation and uncertainty assessment for complex geological models using a new PCA-based parameterization (Q723072) (← 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)
- Comparing training-image based algorithms using an analysis of distance (Q745862) (← links)
- Addressing conditioning data in multiple-point statistics simulation algorithms based on a multiple grid approach (Q745867) (← links)
- A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems (Q776737) (← links)
- High-order statistics of spatial random fields: Exploring spatial cumulants for modeling complex non-Gaussian and non-linear phenomena (Q848931) (← links)
- A new differentiable parameterization based on principal component analysis for the low-dimensional representation of complex geological models (Q887589) (← links)
- Characterization of non-Gaussian geologic facies distribution using ensemble Kalman filter with probability weighted re-sampling (Q887631) (← links)
- A general probabilistic approach for inference of Gaussian model parameters from noisy data of point and volume support (Q888403) (← links)
- Reconstruction of incomplete data sets or images using direct sampling (Q964861) (← links)
- Gradient-based Pareto optimal history matching for noisy data of multiple types (Q1629728) (← links)
- A new computational model of high-order stochastic simulation based on spatial Legendre moments (Q1629756) (← links)
- Training image-based scenario modeling of fractured reservoirs for flow uncertainty quantification (Q1663483) (← links)
- Multiscale gradient computation for flow in heterogeneous porous media (Q1685630) (← links)
- Bayesian estimation of reservoir properties -- effects of uncertainty quantification of 4D seismic data (Q1693741) (← links)
- Algebraic dynamic multilevel method for compositional flow in heterogeneous porous media (Q1700758) (← links)
- Adaptive POD model reduction for solute transport in heterogeneous porous media (Q1710315) (← 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)
- Machine-learning-based modeling of coarse-scale error, with application to uncertainty quantification (Q1787655) (← links)
- Advances in Gaussian random field generation: a review (Q2009833) (← links)
- Training image free high-order stochastic simulation based on aggregated kernel statistics (Q2066809) (← links)
- Multifidelity framework for uncertainty quantification with multiple quantities of interest (Q2185990) (← links)
- A special issue on the importance of geostatistics in the era of data science (Q2187766) (← links)
- Closed-loop stochastic oilfield optimization for hedging against geologic, development, and operation uncertainty (Q2187893) (← links)
- High-order sequential simulation via statistical learning in reproducing kernel Hilbert space (Q2198926) (← links)
- Statistical interpolation of spatially varying but sparsely measured 3D geo-data using compressive sensing and variational Bayesian inference (Q2238104) (← links)
- Assessing multiple-point statistical facies simulation behavior for effective conditioning on probabilistic data (Q2282002) (← links)
- Downscaling images with trends using multiple-point statistics simulation: an application to digital elevation models (Q2292243) (← links)
- Integration of soft data into multiple-point statistical simulation: re-assessing the probability conditioning method for facies model calibration (Q2321957) (← links)
- A deep-learning-based geological parameterization for history matching complex models (Q2323494) (← links)
- High-order block support spatial simulation method and its application at a gold deposit (Q2323499) (← links)
- Sampling strategies for uncertainty reduction in categorical random fields: formulation, mathematical analysis and application to multiple-point simulations (Q2325286) (← links)
- Adaptive algebraic multiscale solver for compressible flow in heterogeneous porous media (Q2374738) (← links)
- A new data-space inversion procedure for efficient uncertainty quantification in subsurface flow problems (Q2399817) (← links)
