Louis J. Durlofsky

45 papers Misc 2Journal 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Prediction of Fault Slip Tendency in CO CoRR Xiaowen He, Su Jiang, Louis J. Durlofsky
2026	J	`jnl`	Prediction of fault slip tendency in CO 2 storage using data-space inversion. Comput. Geosci. Xiaowen He, Su Jiang, Louis J. Durlofsky
2026	J	`jnl`	Recurrent transformer U-Net surrogate for flow modeling and data assimilation in subsurface formations with faults. J. Comput. Phys. Yifu Han, Louis J. Durlofsky
2025	J	`jnl`	3D latent diffusion models for parameterizing and history matching multiscenario facies systems. CoRR Guido Di Federico, Louis J. Durlofsky
2025	J	`jnl`	Latent diffusion models for parameterization of facies-based geomodels and their use in data assimilation. Comput. Geosci. Guido Di Federico, Louis J. Durlofsky
2025	J	`jnl`	Recurrent Transformer U-Net Surrogate for Flow Modeling and Data Assimilation in Subsurface Formations with Faults. CoRR Yifu Han, Louis J. Durlofsky
2024	J	`jnl`	Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations. CoRR Yifu Han, François P. Hamon, Louis J. Durlofsky
2024	J	`jnl`	Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data. CoRR Nanzhe Wang, Louis J. Durlofsky
2024	J	`jnl`	Graph Network Surrogate Model for Optimizing the Placement of Horizontal Injection Wells for CO2 Storage. CoRR Haoyu Tang, Louis J. Durlofsky
2024	J	`jnl`	Graph network surrogate model for subsurface flow optimization. J. Comput. Phys. Haoyu Tang, Louis J. Durlofsky
2024	J	`jnl`	Latent diffusion models for parameterization and data assimilation of facies-based geomodels. CoRR Guido Di Federico, Louis J. Durlofsky
2024	J	`jnl`	Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage. CoRR Wenchao Teng, Louis J. Durlofsky
2023	J	`jnl`	Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology. J. Comput. Phys. Yusuf Nasir, Louis J. Durlofsky
2023	J	`jnl`	Graph Network Surrogate Model for Subsurface Flow Optimization. CoRR Haoyu Tang, Louis J. Durlofsky
2023	J	`jnl`	History Matching for Geological Carbon Storage using Data-Space Inversion with Spatio-Temporal Data Parameterization. CoRR Su Jiang, Louis J. Durlofsky
2023	J	`jnl`	Surrogate Model for Geological CO2 Storage and Its Use in MCMC-based History Matching. CoRR Yifu Han, François P. Hamon, Su Jiang, Louis J. Durlofsky
2023	J	`jnl`	Use of multifidelity training data and transfer learning for efficient construction of subsurface flow surrogate models. J. Comput. Phys. Su Jiang, Louis J. Durlofsky
2022	J	`jnl`	Convolutional-Recurrent Neural Network Proxy for Robust Optimization and Closed-Loop Reservoir Management. CoRR Yong Do Kim, Louis J. Durlofsky
2022	J	`jnl`	Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology. CoRR Yusuf Nasir, Louis J. Durlofsky
2022	J	`jnl`	Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement Learning. CoRR Yusuf Nasir, Louis J. Durlofsky
2022	J	`jnl`	Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models. CoRR Su Jiang, Louis J. Durlofsky
2021	J	`jnl`	3D CNN-PCA: A deep-learning-based parameterization for complex geomodels. Comput. Geosci. Yimin Liu, Louis J. Durlofsky
2021	J	`jnl`	Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems. Frontiers Appl. Math. Stat. Su Jiang, Mun-Hong Hui, Louis J. Durlofsky
2021	J	`jnl`	Deep-learning-based coupled flow-geomechanics surrogate model for CO CoRR Meng Tang, Xin Ju, Louis J. Durlofsky
2021	J	`jnl`	Use of low-fidelity models with machine-learning error correction for well placement optimization. CoRR Haoyu Tang, Louis J. Durlofsky
2020	J	`jnl`	3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels. CoRR Yimin Liu, Louis J. Durlofsky
2020	J	`jnl`	A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems. J. Comput. Phys. Meng Tang, Yimin Liu, Louis J. Durlofsky
2020	J	`jnl`	Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization. CoRR Su Jiang, Louis J. Durlofsky
2019	J	`jnl`	A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems. CoRR Meng Tang, Yimin Liu, Louis J. Durlofsky
2019	J	`jnl`	Implementation and detailed assessment of a GNAT reduced-order model for subsurface flow simulation. J. Comput. Phys. Rui Jiang, Louis J. Durlofsky
2018	J	`jnl`	A Deep-Learning-Based Geological Parameterization for History Matching Complex Models. CoRR Yimin Liu, Wenyue Sun, Louis J. Durlofsky
2017	J	`jnl`	Error estimation for surrogate models of dynamical systems using machine learning. CoRR Sumeet Trehan, Kevin Carlberg, Louis J. Durlofsky
2016	J	`jnl`	A general method to select representative models for decision making and optimization under uncertainty. Comput. Geosci. Mehrdad G. Shirangi, Louis J. Durlofsky
2016	J	`jnl`	Regularized kernel PCA for the efficient parameterization of complex geological models. J. Comput. Phys. Hai X. Vo, Louis J. Durlofsky
2016	J	`jnl`	Trajectory piecewise quadratic reduced-order model for subsurface flow, with application to PDE-constrained optimization. J. Comput. Phys. Sumeet Trehan, Louis J. Durlofsky
2013	J	`jnl`	Reduced-order flow modeling and geological parameterization for ensemble-based data assimilation. Comput. Geosci. Jincong He, Pallav Sarma, Louis J. Durlofsky
2011	J	`jnl`	Application of derivative-free methodologies to generally constrained oil production optimisation problems. Int. J. Math. Model. Numer. Optimisation David Echeverría Ciaurri, Obiajulu J. Isebor, Louis J. Durlofsky
2011	—	`ch.`	Derivative-Free Optimization for Oil Field Operations. Computational Optimization and Applications in Engineering and Industry David Echeverría Ciaurri, Tapan Mukerji, Louis J. Durlofsky
2011	J	`jnl`	Enhanced linearized reduced-order models for subsurface flow simulation. J. Comput. Phys. Jincong He, J. Sætrom, Louis J. Durlofsky
2010	Misc	`conf`	Application of derivative-free methodologies to generally constrained oil production optimization problems. ICCS David Echeverría Ciaurri, Obiajulu J. Isebor, Louis J. Durlofsky
2010	J	`jnl`	Linearized reduced-order models for subsurface flow simulation. J. Comput. Phys. M. A. Cardoso, Louis J. Durlofsky
2010	Misc	`conf`	Use of retrospective optimization for placement of oil wells under uncertainty. WSC Honggang Wang, David Echeverría Ciaurri, Louis J. Durlofsky
2006	J	`jnl`	Efficient Incorporation of Global Effects in Upscaled Models of Two-Phase Flow and Transport in Heterogeneous Formations. Multiscale Model. Simul. Yuguang Chen, Louis J. Durlofsky
2006	J	`jnl`	Unstructured grid optimization for improved monotonicity of discrete solutions of elliptic equations with highly anisotropic coefficients. J. Comput. Phys. Martin J. Mlacnik, Louis J. Durlofsky
2003	J	`jnl`	A Generalized Convection-Diffusion Model for Subgrid Transport in Porous Media. Multiscale Model. Simul. Yalchin Efendiev, Louis J. Durlofsky