Pages that link to "Item:Q1863230"
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The following pages link to Conditional simulation of complex geological structures using multiple-point statistics (Q1863230):
Displaying 15 items.
- Bridging deep convolutional autoencoders and ensemble smoothers for improved estimation of channelized reservoirs (Q2676511) (← links)
- A new non-stationary high-order spatial sequential simulation method (Q2676517) (← links)
- Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology (Q2683244) (← links)
- Prediction of permeability of porous media using optimized convolutional neural networks (Q2683510) (← links)
- (Q3506600) (← links)
- Shape and distributed parameter estimation for history matching using a modified Ensemble Kalman filter and level sets (Q4991445) (← links)
- On the use of different metrics for assessing complex pattern reproductions (Q5128965) (← links)
- Bayesian inversion by parallel interacting Markov chains (Q5852184) (← links)
- Stochastic simulation of patterns using distance-based pattern modeling (Q5962029) (← links)
- High-order stochastic simulation of complex spatially Distributed natural phenomena (Q5962032) (← links)
- Stochastic reconstruction of porous media based on attention mechanisms and multi-stage generative adversarial network (Q6074263) (← links)
- Deep learning-aided image-oriented history matching of geophysical data (Q6074265) (← links)
- High-order data-driven spatial simulation of categorical variables (Q6084342) (← links)
- Stochastic reconstruction of shale combining multi-scale generators and discriminators with attention mechanisms (Q6181712) (← links)
- Sensitivity analysis of the MCRF model to different transiogram joint modeling methods for simulating categorical spatial variables (Q6600803) (← links)
