Louis J. Durlofsky

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 25

Top Topics

Error Estimation

Diffusion Models

Real Valued Time Series

Constrained Optimization

Top Venues

J. Comput. Phys.

Comput. Geosci.

Frontiers Appl. Math. Stat.

Publications

Haoyu Tang, Louis J. Durlofsky
Graph network surrogate model for subsurface flow optimization. J. Comput. Phys. 512 (2024)
Guido Di Federico, Louis J. Durlofsky
Latent diffusion models for parameterization and data assimilation of facies-based geomodels. CoRR (2024)
Su Jiang, Louis J. Durlofsky
History Matching for Geological Carbon Storage using Data-Space Inversion with Spatio-Temporal Data Parameterization. CoRR (2023)
Yifu Han, François P. Hamon, Su Jiang, Louis J. Durlofsky
Surrogate Model for Geological CO2 Storage and Its Use in MCMC-based History Matching. CoRR (2023)
Haoyu Tang, Louis J. Durlofsky
Graph Network Surrogate Model for Subsurface Flow Optimization. CoRR (2023)
Su Jiang, Louis J. Durlofsky
Use of multifidelity training data and transfer learning for efficient construction of subsurface flow surrogate models. J. Comput. Phys. 474 (2023)
Yusuf Nasir, Louis J. Durlofsky
Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology. J. Comput. Phys. 477 (2023)
Yusuf Nasir, Louis J. Durlofsky
Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology. CoRR (2022)
Su Jiang, Louis J. Durlofsky
Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models. CoRR (2022)
Yusuf Nasir, Louis J. Durlofsky
Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement Learning. CoRR (2022)
Yong Do Kim, Louis J. Durlofsky
Convolutional-Recurrent Neural Network Proxy for Robust Optimization and Closed-Loop Reservoir Management. CoRR (2022)
Haoyu Tang, Louis J. Durlofsky
Use of low-fidelity models with machine-learning error correction for well placement optimization. CoRR (2021)
Su Jiang, Mun-Hong Hui, Louis J. Durlofsky
Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems. Frontiers Appl. Math. Stat. 7 (2021)
Meng Tang, Xin Ju, Louis J. Durlofsky
sequestration. CoRR (2021)
Yimin Liu, Louis J. Durlofsky
3D CNN-PCA: A deep-learning-based parameterization for complex geomodels. Comput. Geosci. 148 (2021)
Yimin Liu, Louis J. Durlofsky
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels. CoRR (2020)
Su Jiang, Louis J. Durlofsky
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization. CoRR (2020)
Meng Tang, Yimin Liu, Louis J. Durlofsky
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems. J. Comput. Phys. 413 (2020)
Meng Tang, Yimin Liu, Louis J. Durlofsky
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems. CoRR (2019)
Rui Jiang, Louis J. Durlofsky
Implementation and detailed assessment of a GNAT reduced-order model for subsurface flow simulation. J. Comput. Phys. 379 (2019)
Yimin Liu, Wenyue Sun, Louis J. Durlofsky
A Deep-Learning-Based Geological Parameterization for History Matching Complex Models. CoRR (2018)
Sumeet Trehan, Kevin Carlberg, Louis J. Durlofsky
Error estimation for surrogate models of dynamical systems using machine learning. CoRR (2017)
Sumeet Trehan, Louis J. Durlofsky
Trajectory piecewise quadratic reduced-order model for subsurface flow, with application to PDE-constrained optimization. J. Comput. Phys. 326 (2016)
Hai X. Vo, Louis J. Durlofsky
Regularized kernel PCA for the efficient parameterization of complex geological models. J. Comput. Phys. 322 (2016)
Mehrdad G. Shirangi, Louis J. Durlofsky
A general method to select representative models for decision making and optimization under uncertainty. Comput. Geosci. 96 (2016)
Jincong He, Pallav Sarma, Louis J. Durlofsky
Reduced-order flow modeling and geological parameterization for ensemble-based data assimilation. Comput. Geosci. 55 (2013)
Jincong He, J. Sætrom, Louis J. Durlofsky
Enhanced linearized reduced-order models for subsurface flow simulation. J. Comput. Phys. 230 (23) (2011)
David Echeverría Ciaurri, Obiajulu J. Isebor, Louis J. Durlofsky
Application of derivative-free methodologies to generally constrained oil production optimisation problems. Int. J. Math. Model. Numer. Optimisation 2 (2) (2011)
Honggang Wang, David Echeverría Ciaurri, Louis J. Durlofsky
Use of retrospective optimization for placement of oil wells under uncertainty. WSC (2010)
M. A. Cardoso, Louis J. Durlofsky
Linearized reduced-order models for subsurface flow simulation. J. Comput. Phys. 229 (3) (2010)
David Echeverría Ciaurri, Obiajulu J. Isebor, Louis J. Durlofsky
Application of derivative-free methodologies to generally constrained oil production optimization problems. ICCS (1) (2010)
Martin J. Mlacnik, Louis J. Durlofsky
Unstructured grid optimization for improved monotonicity of discrete solutions of elliptic equations with highly anisotropic coefficients. J. Comput. Phys. 216 (1) (2006)
Yuguang Chen, Louis J. Durlofsky
Efficient Incorporation of Global Effects in Upscaled Models of Two-Phase Flow and Transport in Heterogeneous Formations. Multiscale Model. Simul. 5 (2) (2006)
Yalchin Efendiev, Louis J. Durlofsky
A Generalized Convection-Diffusion Model for Subgrid Transport in Porous Media. Multiscale Model. Simul. 1 (3) (2003)