Pages that link to "Item:Q2323494"
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The following pages link to A deep-learning-based geological parameterization for history matching complex models (Q2323494):
Displaying 19 items.
- 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)
- Multiscale parameterization of petrophysical properties for efficient history-matching (Q748109) (← links)
- A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems (Q776737) (← links)
- A new differentiable parameterization based on principal component analysis for the low-dimensional representation of complex geological models (Q887589) (← links)
- Deep-learning-based surrogate flow modeling and geological parameterization for data assimilation in 3D subsurface flow (Q2021999) (← links)
- Objective-sensitive principal component analysis for high-dimensional inverse problems (Q2065835) (← links)
- An intelligent multi-fidelity surrogate-assisted multi-objective reservoir production optimization method based on transfer stacking (Q2085102) (← links)
- Extended dynamic mode decomposition for inhomogeneous problems (Q2132641) (← links)
- Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems (Q2133766) (← links)
- Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios (Q2192840) (← links)
- Data-space inversion using a recurrent autoencoder for time-series parameterization (Q2225357) (← links)
- Recent developments combining ensemble smoother and deep generative networks for facies history matching (Q2225361) (← links)
- A physically constrained variational autoencoder for geochemical pattern recognition (Q2676496) (← links)
- Application of Bayesian generative adversarial networks to geological facies modeling (Q2676501) (← links)
- Bridging deep convolutional autoencoders and ensemble smoothers for improved estimation of channelized reservoirs (Q2676511) (← links)
- Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology (Q2683244) (← links)
- Deep learning-aided image-oriented history matching of geophysical data (Q6074265) (← links)
- A three-dimensional geological structure modeling framework and its application in machine learning (Q6084330) (← links)
