Louis J. Durlofsky

According to our database1, Louis J. Durlofsky authored at least 29 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology.
J. Comput. Phys., March, 2023

Use of multifidelity training data and transfer learning for efficient construction of subsurface flow surrogate models.
J. Comput. Phys., February, 2023

Graph Network Surrogate Model for Subsurface Flow Optimization.
CoRR, 2023

History Matching for Geological Carbon Storage using Data-Space Inversion with Spatio-Temporal Data Parameterization.
CoRR, 2023

Surrogate Model for Geological CO2 Storage and Its Use in MCMC-based History Matching.
CoRR, 2023

2022
Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement Learning.
CoRR, 2022

Convolutional-Recurrent Neural Network Proxy for Robust Optimization and Closed-Loop Reservoir Management.
CoRR, 2022

2021
3D CNN-PCA: A deep-learning-based parameterization for complex geomodels.
Comput. Geosci., 2021

Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems.
Frontiers Appl. Math. Stat., 2021

Use of low-fidelity models with machine-learning error correction for well placement optimization.
CoRR, 2021

Deep-learning-based coupled flow-geomechanics surrogate model for CO<sub>2</sub> sequestration.
CoRR, 2021

2020
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems.
J. Comput. Phys., 2020

Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization.
CoRR, 2020

2019
Implementation and detailed assessment of a GNAT reduced-order model for subsurface flow simulation.
J. Comput. Phys., 2019

2018
A Deep-Learning-Based Geological Parameterization for History Matching Complex Models.
CoRR, 2018

2017
Error estimation for surrogate models of dynamical systems using machine learning.
CoRR, 2017

2016
Regularized kernel PCA for the efficient parameterization of complex geological models.
J. Comput. Phys., 2016

Trajectory piecewise quadratic reduced-order model for subsurface flow, with application to PDE-constrained optimization.
J. Comput. Phys., 2016

A general method to select representative models for decision making and optimization under uncertainty.
Comput. Geosci., 2016

2013
Reduced-order flow modeling and geological parameterization for ensemble-based data assimilation.
Comput. Geosci., 2013

2011
Derivative-Free Optimization for Oil Field Operations.
Proceedings of the Computational Optimization and Applications in Engineering and Industry, 2011

Enhanced linearized reduced-order models for subsurface flow simulation.
J. Comput. Phys., 2011

Application of derivative-free methodologies to generally constrained oil production optimisation problems.
Int. J. Math. Model. Numer. Optimisation, 2011

2010
Application of derivative-free methodologies to generally constrained oil production optimization problems.
Proceedings of the International Conference on Computational Science, 2010

Linearized reduced-order models for subsurface flow simulation.
J. Comput. Phys., 2010

Use of retrospective optimization for placement of oil wells under uncertainty.
Proceedings of the 2010 Winter Simulation Conference, 2010

2006
Efficient Incorporation of Global Effects in Upscaled Models of Two-Phase Flow and Transport in Heterogeneous Formations.
Multiscale Model. Simul., 2006

Unstructured grid optimization for improved monotonicity of discrete solutions of elliptic equations with highly anisotropic coefficients.
J. Comput. Phys., 2006

2003
A Generalized Convection-Diffusion Model for Subgrid Transport in Porous Media.
Multiscale Model. Simul., 2003


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