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ORCIDLouis J. Durlofsky
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2020 – today
- 2024
[j17]Haoyu Tang
, Louis J. Durlofsky:
Graph network surrogate model for subsurface flow optimization. J. Comput. Phys. 512: 113132 (2024)- [i17]Guido Di Federico, Louis J. Durlofsky:
Latent diffusion models for parameterization and data assimilation of facies-based geomodels. CoRR abs/2406.14815 (2024) - [i16]Nanzhe Wang, Louis J. Durlofsky:
Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data. CoRR abs/2408.01575 (2024) - [i15]Yifu Han, François P. Hamon, Louis J. Durlofsky:
Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations. CoRR abs/2408.10717 (2024) - 2023
- [j16]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: 111800 (2023) - [j15]Yusuf Nasir, Louis J. Durlofsky:
Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology. J. Comput. Phys. 477: 111945 (2023) - [i14]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 abs/2308.06341 (2023) - [i13]Su Jiang, Louis J. Durlofsky:
History Matching for Geological Carbon Storage using Data-Space Inversion with Spatio-Temporal Data Parameterization. CoRR abs/2310.03228 (2023) - [i12]Haoyu Tang, Louis J. Durlofsky:
Graph Network Surrogate Model for Subsurface Flow Optimization. CoRR abs/2312.08625 (2023) - 2022
- [i11]Yong Do Kim, Louis J. Durlofsky:
Convolutional-Recurrent Neural Network Proxy for Robust Optimization and Closed-Loop Reservoir Management. CoRR abs/2203.07524 (2022) - [i10]Yusuf Nasir, Louis J. Durlofsky:
Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology. CoRR abs/2203.13375 (2022) - [i9]Su Jiang, Louis J. Durlofsky:
Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models. CoRR abs/2204.11138 (2022) - [i8]Yusuf Nasir, Louis J. Durlofsky:
Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement Learning. CoRR abs/2207.10376 (2022) - 2021
- [j14]Su Jiang, Mun-Hong Hui, Louis J. Durlofsky:
Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems. Frontiers Appl. Math. Stat. 7: 686754 (2021) - [j13]Yimin Liu, Louis J. Durlofsky:
3D CNN-PCA: A deep-learning-based parameterization for complex geomodels. Comput. Geosci. 148: 104676 (2021) - [i7]Meng Tang, Xin Ju, Louis J. Durlofsky:
Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration. CoRR abs/2105.01334 (2021) - [i6]Haoyu Tang, Louis J. Durlofsky:
Use of low-fidelity models with machine-learning error correction for well placement optimization. CoRR abs/2111.02960 (2021) - 2020
- [j12]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: 109456 (2020) - [i5]Su Jiang, Louis J. Durlofsky:
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization. CoRR abs/2005.00061 (2020) - [i4]Yimin Liu, Louis J. Durlofsky:
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels. CoRR abs/2007.08478 (2020)
2010 – 2019
- 2019
- [j11]Rui Jiang, Louis J. Durlofsky:
Implementation and detailed assessment of a GNAT reduced-order model for subsurface flow simulation. J. Comput. Phys. 379: 192-213 (2019) - [i3]Meng Tang, Yimin Liu, Louis J. Durlofsky:
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems. CoRR abs/1908.05823 (2019) - 2018
- [i2]Yimin Liu, Wenyue Sun, Louis J. Durlofsky:
A Deep-Learning-Based Geological Parameterization for History Matching Complex Models. CoRR abs/1807.02716 (2018) - 2017
- [i1]Sumeet Trehan, Kevin Carlberg, Louis J. Durlofsky:
Error estimation for surrogate models of dynamical systems using machine learning. CoRR abs/1701.03240 (2017) - 2016
- [j10]Mehrdad G. Shirangi, Louis J. Durlofsky:
A general method to select representative models for decision making and optimization under uncertainty. Comput. Geosci. 96: 109-123 (2016) - [j9]Hai X. Vo, Louis J. Durlofsky:
Regularized kernel PCA for the efficient parameterization of complex geological models. J. Comput. Phys. 322: 859-881 (2016) - [j8]Sumeet Trehan, Louis J. Durlofsky:
Trajectory piecewise quadratic reduced-order model for subsurface flow, with application to PDE-constrained optimization. J. Comput. Phys. 326: 446-473 (2016) - 2013
- [j7]Jincong He, Pallav Sarma, Louis J. Durlofsky:
Reduced-order flow modeling and geological parameterization for ensemble-based data assimilation. Comput. Geosci. 55: 54-69 (2013) - 2011
- [j6]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): 134-161 (2011) - [j5]Jincong He, J. Sætrom, Louis J. Durlofsky:
Enhanced linearized reduced-order models for subsurface flow simulation. J. Comput. Phys. 230(23): 8313-8341 (2011) - [p1]David Echeverría Ciaurri, Tapan Mukerji, Louis J. Durlofsky:
Derivative-Free Optimization for Oil Field Operations. Computational Optimization and Applications in Engineering and Industry 2011: 19-55 - 2010
- [j4]M. A. Cardoso, Louis J. Durlofsky:
Linearized reduced-order models for subsurface flow simulation. J. Comput. Phys. 229(3): 681-700 (2010) - [c2]Honggang Wang, David Echeverría Ciaurri, Louis J. Durlofsky:
Use of retrospective optimization for placement of oil wells under uncertainty. WSC 2010: 1750-1757 - [c1]David Echeverría Ciaurri, Obiajulu J. Isebor, Louis J. Durlofsky:
Application of derivative-free methodologies to generally constrained oil production optimization problems. ICCS 2010: 1301-1310
2000 – 2009
- 2006
- [j3]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): 337-361 (2006) - [j2]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): 445-475 (2006) - 2003
- [j1]Yalchin Efendiev, Louis J. Durlofsky:
A Generalized Convection-Diffusion Model for Subgrid Transport in Porous Media. Multiscale Model. Simul. 1(3): 504-526 (2003)
Coauthor Index
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last updated on 2024-09-26 01:01 CEST by the dblp team
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