A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems | 3 | 0.42 | 2020 |
Implementation and detailed assessment of a GNAT reduced-order model for subsurface flow simulation. | 0 | 0.34 | 2019 |
A Deep-Learning-Based Geological Parameterization for History Matching Complex Models. | 1 | 0.36 | 2018 |
Error estimation for surrogate models of dynamical systems using machine learning. | 0 | 0.34 | 2017 |
Trajectory piecewise quadratic reduced-order model for subsurface flow, with application to PDE-constrained optimization. | 1 | 0.39 | 2016 |
A general method to select representative models for decision making and optimization under uncertainty. | 1 | 0.37 | 2016 |
Regularized kernel PCA for the efficient parameterization of complex geological models. | 4 | 0.47 | 2016 |
Reduced-order flow modeling and geological parameterization for ensemble-based data assimilation | 1 | 0.35 | 2013 |
Enhanced linearized reduced-order models for subsurface flow simulation | 7 | 0.73 | 2011 |
Linearized reduced-order models for subsurface flow simulation | 15 | 1.75 | 2010 |
Use of retrospective optimization for placement of oil wells under uncertainty | 5 | 0.43 | 2010 |
Efficient Incorporation of Global Effects in Upscaled Models of Two-Phase Flow and Transport in Heterogeneous Formations | 6 | 0.97 | 2006 |
Unstructured grid optimization for improved monotonicity of discrete solutions of elliptic equations with highly anisotropic coefficients | 13 | 1.35 | 2006 |
A Generalized Convection-Diusion Model for Subgrid Transport in Porous Media | 1 | 0.37 | 2003 |