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.

• Quantitative evaluation of multiple-point simulations using image segmentation and texture descriptors (Q2009876) (← links)
• Entropy and information content of geostatistical models (Q2022108) (← links)
• One step at a time: the origins of sequential simulation and beyond (Q2022110) (← links)
• Conditional simulation for mineral resource classification and mining dilution assessment from the early 1990s to now (Q2022113) (← links)
• Novel iterative ensemble smoothers derived from a class of generalized cost functions (Q2027194) (← links)
• Geological facies modeling based on progressive growing of generative adversarial networks (GANs) (Q2027203) (← links)
• Connectivity in pixel-based facies models (Q2040692) (← links)
• Modeling and simulating depositional sequences using latent Gaussian random fields (Q2040696) (← links)
• A new type of conditioning of stationary fields and its application to the spectral simulation approach in geostatistics (Q2040708) (← links)
• Reconstruction, optimization, and design of heterogeneous materials and media: basic principles, computational algorithms, and applications (Q2064257) (← links)
• Reconstruction of fluvial reservoirs using multiple-stage concurrent generative adversarial networks (Q2065829) (← links)
• A pore space reconstruction method of shale based on autoencoders and generative adversarial networks (Q2065844) (← links)
• Training image free high-order stochastic simulation based on aggregated kernel statistics (Q2066809) (← links)
• 3D reconstruction of porous media using a batch normalized variational auto-encoder (Q2085099) (← links)
• Emergence of non-Fickian transport in truncated pluri-Gaussian permeability fields (Q2087765) (← links)
• Numerical modelling of reservoir at pore scale: a comprehensive review (Q2099732) (← links)
• Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother (Q2147569) (← links)
• RockGPT: reconstructing three-dimensional digital rocks from single two-dimensional slice with deep learning (Q2147576) (← links)
• Channelized reservoir estimation using a low-dimensional parameterization based on high-order singular value decomposition (Q2185964) (← links)
• Multifidelity framework for uncertainty quantification with multiple quantities of interest (Q2185990) (← links)
• Geological facies recovery based on weighted \(\ell_1\)-regularization (Q2198925) (← links)
• High-order sequential simulation via statistical learning in reproducing kernel Hilbert space (Q2198926) (← links)
• Recent developments combining ensemble smoother and deep generative networks for facies history matching (Q2225361) (← links)
• U-net generative adversarial network for subsurface facies modeling (Q2225390) (← links)
• The correlation between statistical descriptors of heterogeneous materials (Q2237445) (← links)
• Modeling and fitting of three-dimensional mineral microstructures by multinary random fields (Q2238078) (← links)
• Geostatistical seismic inversion with self-updating of local probability distributions (Q2238090) (← links)
• Statistical interpolation of spatially varying but sparsely measured 3D geo-data using compressive sensing and variational Bayesian inference (Q2238104) (← links)
• 3D pore space reconstruction using deep residual deconvolution networks (Q2240947) (← links)
• History matching of approximated lithofacies models under uncertainty (Q2269070) (← links)
• Assessing multiple-point statistical facies simulation behavior for effective conditioning on probabilistic data (Q2282002) (← links)
• Linear waveform tomography inversion using machine learning algorithms (Q2284092) (← 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 pattern-matching method for flow model calibration under training image constraint (Q2321972) (← 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)
• A segmentation approach for stochastic geological modeling using hidden Markov random fields (Q2360990) (← links)
• Multivariate geostatistical grid-free simulation of natural phenomena (Q2398593) (← links)
• Simulation-regression approximations for value of information analysis of geophysical data (Q2399811) (← links)
• A new data-space inversion procedure for efficient uncertainty quantification in subsurface flow problems (Q2399817) (← links)
• Conditional simulation of multi-type non stationary Markov object models respecting specified proportions (Q2454625) (← links)
• A comparison of methods for the stochastic simulation of rock fractures (Q2461579) (← links)
• Efficient real-time reservoir management using adjoint-based optimal control and model updating (Q2496529) (← links)
• History matching of facies distribution with the EnKF and level set parameterization (Q2638301) (← links)
• Heterogeneity-controlled uncertain optimization of pump-and-treat systems explained through geological entropy (Q2663773) (← links)
• Stochastic inversion of gravity data accounting for structural uncertainty (Q2675140) (← links)
• Application of Bayesian generative adversarial networks to geological facies modeling (Q2676501) (← links)
• Local ranking of geological conceptual models in non-stationary settings using multi-point geostatistics (Q2676503) (← links)