Pages that link to "Item:Q695703"
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The following pages link to Uncertainty quantification of reservoir performance predictions using a stochastic optimization algorithm (Q695703):
Displaying 22 items.
- Hybrid nested sampling algorithm for Bayesian model selection applied to inverse subsurface flow problems (Q348583) (← links)
- An iterative stochastic ensemble method for parameter estimation of subsurface flow models (Q401591) (← links)
- Large-scale history matching with quadratic interpolation models (Q509795) (← links)
- Reservoir description using dynamic parameterisation selection with a combined stochastic and gradient search (Q710647) (← links)
- Extended probability perturbation method for calibrating stochastic reservoir models (Q972664) (← links)
- Theoretical connections between optimization algorithms based on an approximate gradient (Q1663476) (← links)
- Gaussian processes for history-matching: application to an unconventional gas reservoir (Q1702365) (← links)
- An improved gradual deformation method for reconciling random and gradient searches in stochastic optimizations (Q1780186) (← links)
- Distributed Gauss-Newton optimization method for history matching problems with multiple best matches (Q1785159) (← links)
- Assisted history matching for the inversion of fractures based on discrete fracture-matrix model with different combinations of inversion parameters (Q1785161) (← links)
- A theoretical look at ensemble-based optimization in reservoir management (Q1789193) (← links)
- Bayesian model calibration and optimization of surfactant-polymer flooding (Q2009830) (← links)
- Uncertainty quantification in reservoirs with faults using a sequential approach (Q2027154) (← links)
- A robust, multi-solution framework for well placement and control optimization (Q2085058) (← links)
- Closed-loop stochastic oilfield optimization for hedging against geologic, development, and operation uncertainty (Q2187893) (← links)
- Efficient uncertainty quantification of reservoir properties for parameter estimation and production forecasting (Q2292252) (← links)
- Boosting iterative stochastic ensemble method for nonlinear calibration of subsurface flow models (Q2449910) (← links)
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- Ensemble Gradient for Learning Turbulence Models from Indirect Observations (Q5065144) (← links)
- Large-eddy simulation-based shape optimization for mitigating turbulent wakes of a bluff body using the regularized ensemble Kalman method (Q6661467) (← links)