Regularized kernel PCA for the efficient parameterization of complex geological models
From MaRDI portal
Publication:727617
DOI10.1016/j.jcp.2016.07.011zbMath1351.86031OpenAlexW2501447055MaRDI QIDQ727617
Publication date: 20 December 2016
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2016.07.011
dimension reductiondata assimilationhistory matchingBayesian inversioninverse modelingkernel PCAKPCAreservoir modelinggeological parameterization
Hydrology, hydrography, oceanography (86A05) Flows in porous media; filtration; seepage (76S05) Computational methods for problems pertaining to geophysics (86-08) Geological problems (86A60)
Related Items (12)
Conditioning generative adversarial networks on nonlinear data for subsurface flow model calibration and uncertainty quantification ⋮ Reproducing kernels: harmonic analysis and some of their applications ⋮ Channelized reservoir estimation using a low-dimensional parameterization based on high-order singular value decomposition ⋮ Bridging deep convolutional autoencoders and ensemble smoothers for improved estimation of channelized reservoirs ⋮ Infinite-dimensional stochastic transforms and reproducing kernel Hilbert space ⋮ Identifying influence areas with connectivity analysis -- application to the local perturbation of heterogeneity distribution for history matching ⋮ Sharp interface approaches and deep learning techniques for multiphase flows ⋮ Closed-loop field development with multipoint geostatistics and statistical performance assessment ⋮ Parametric generation of conditional geological realizations using generative neural networks ⋮ History matching of multi-facies channelized reservoirs using ES-MDA with common basis DCT ⋮ Objective-sensitive principal component analysis for high-dimensional inverse problems ⋮ A deep-learning-based geological parameterization for history matching complex models
Uses Software
Cites Work
- Minimization for conditional simulation: relationship to optimal transport
- Reservoir description with integrated multiwell data using two-dimensional wavelets
- Karhunen-Loève expansion revisited for vector-valued random fields: scaling, errors and optimal basis.
- A probability conditioning method (PCM) for nonlinear flow data integration into multipoint statistical facies simulation
- Kernel principal component analysis for stochastic input model generation
- Complex geology estimation using the iterative adaptive Gaussian mixture filter
- Data assimilation and uncertainty assessment for complex geological models using a new PCA-based parameterization
- Comprehensive framework for gradient-based optimization in closed-loop reservoir management
- Bridging multipoint statistics and truncated Gaussian fields for improved estimation of channelized reservoirs with ensemble methods
- Compressed history matching: Exploiting transform-domain sparsity for regularization of nonlinear dynamic data integration problems
- A new differentiable parameterization based on principal component analysis for the low-dimensional representation of complex geological models
- Conditioning truncated pluri-Gaussian models to facies observations in ensemble-Kalman-based data assimilation
- Kernel principal component analysis for efficient, differentiable parametrization of multipoint geostatistics
- An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions.
- Conditional simulation of complex geological structures using multiple-point statistics
- Monte Carlo simulation of permeability fields and reservoir performance predictions with SVD parameterization in RML compared with EnKF
- Recent progress on reservoir history matching: a review
- Efficient real-time reservoir management using adjoint-based optimal control and model updating
- Calculating derivatives for automatic history matching
- History matching of facies distribution with the EnKF and level set parameterization
- History matching of petroleum reservoirs using a level set technique
This page was built for publication: Regularized kernel PCA for the efficient parameterization of complex geological models
