Gaussian processes for history-matching: application to an unconventional gas reservoir
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Publication:1702365
DOI10.1007/s10596-016-9611-2zbMath1387.86054OpenAlexW2578398986MaRDI QIDQ1702365
Mario Costa Sousa, Ivo Couckuyt, Hamidreza Hamdi, Tom Dhaene
Publication date: 28 February 2018
Published in: Computational Geosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10596-016-9611-2
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Cites Work
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- Exploratory designs for computational experiments
- Expected improvement in efficient global optimization through bootstrapped Kriging
- Adjoint-based optimization of multi-phase flow through porous media -- a review
- Spectral scaling BFGS method
- Analysis of a self-scaling quasi-Newton method
- Differential evolution. A practical approach to global optimization. With CD-ROM.
- Adaptive Bayesian estimation using a Gaussian random field with inverse gamma bandwidth
- Gaussian process for nonstationary time series prediction
- Convergence properties of the expected improvement algorithm with fixed mean and covariance functions
- Numerical expirience with a class of self-scaling quasi-Newton algorithms
- Efficient global optimization of expensive black-box functions
- Interpolation of spatial data. Some theory for kriging
- Application of Bayesian approach to numerical methods of global and stochastic optimization
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- Sufficient conditions for global convergence of differential evolution algorithm
- A taxonomy of global optimization methods based on response surfaces
- Gradual deformation and iterative calibration of sequential stochastic simulations
- Comparing and generating Latin hypercube designs in kriging models
- Extremum estimation and numerical derivatives
- Recent progress on reservoir history matching: a review
- An analysis of history matching errors
- Bayesian Optimization in a Billion Dimensions via Random Embeddings
- Budgeted Optimization with Constrained Experiments
- Assessment of uncertainty in computer experiments from Universal to Bayesian Kriging
- Geostatistics
- Handbook of Spatial Statistics
- Self-Scaling Variable Metric (SSVM) Algorithms
- Self-Scaling Variable Metric (SSVM) Algorithms
- Optimal conditioning of self-scaling variable Metric algorithms
- Applied Spatial Statistics for Public Health Data
- The ensemble Kalman filter for combined state and parameter estimation
- Convergence rates of efficient global optimization algorithms
- Advanced Lectures on Machine Learning
- An invariant form for the prior probability in estimation problems
- Design and analysis of simulation experiments
- Data Assimilation
- On the behaviour of a combined extra-updating/self-scaling BFGS method
- Stochastic simulation of patterns using distance-based pattern modeling
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