Louis J. Durlofsky
According to our database1,
Louis J. Durlofsky
authored at least 32 papers
between 2003 and 2024.
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Bibliography
2024
J. Comput. Phys., 2024
Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations.
CoRR, 2024
Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data.
CoRR, 2024
Latent diffusion models for parameterization and data assimilation of facies-based geomodels.
CoRR, 2024
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
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
CoRR, 2022
Convolutional-Recurrent Neural Network Proxy for Robust Optimization and Closed-Loop Reservoir Management.
CoRR, 2022
2021
Comput. Geosci., 2021
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
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
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
Proceedings of the Computational Optimization and Applications in Engineering and Industry, 2011
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
J. Comput. Phys., 2010
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
Multiscale Model. Simul., 2003