Louis J. Durlofsky - researchr alias

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Viewing Publication 1 - 19 from 19

2023

Use of multifidelity training data and transfer learning for efficient construction of subsurface flow surrogate modelsSu Jiang, Louis J. Durlofsky. jcphy, 474:111800, February 2023. [doi]

Deep reinforcement learning for optimal well control in subsurface systems with uncertain geologyYusuf Nasir, Louis J. Durlofsky. jcphy, 477:111945, March 2023. [doi]

2021

Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured SystemsSu Jiang, Mun-Hong Hui, Louis J. Durlofsky. fams, 7:686754, 2021. [doi]

3D CNN-PCA: A deep-learning-based parameterization for complex geomodelsYimin Liu, Louis J. Durlofsky. gandc, 148:104676, 2021. [doi]

2020

A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problemsMeng Tang, Yimin Liu, Louis J. Durlofsky. jcphy, 413:109456, 2020. [doi]

2019

Implementation and detailed assessment of a GNAT reduced-order model for subsurface flow simulationRui Jiang, Louis J. Durlofsky. jcphy, 379:192-213, 2019. [doi]

2016

A general method to select representative models for decision making and optimization under uncertaintyMehrdad G. Shirangi, Louis J. Durlofsky. gandc, 96:109-123, 2016. [doi]

Trajectory piecewise quadratic reduced-order model for subsurface flow, with application to PDE-constrained optimizationSumeet Trehan, Louis J. Durlofsky. jcphy, 326:446-473, 2016. [doi]

Regularized kernel PCA for the efficient parameterization of complex geological modelsHai X. Vo, Louis J. Durlofsky. jcphy, 322:859-881, 2016. [doi]

2013

Reduced-order flow modeling and geological parameterization for ensemble-based data assimilationJincong He, Pallav Sarma, Louis J. Durlofsky. gandc, 55:54-69, 2013. [doi]

2011

Application of derivative-free methodologies to generally constrained oil production optimisation problemsDavid Echeverría Ciaurri, Obiajulu J. Isebor, Louis J. Durlofsky. ijmno, 2(2):134-161, 2011. [doi]

Derivative-Free Optimization for Oil Field OperationsDavid Echeverría Ciaurri, Tapan Mukerji, Louis J. Durlofsky. In Xin-She Yang, Slawomir Koziel, editors, Computational Optimization and Applications in Engineering and Industry. Volume 359 of Studies in Computational Intelligence, pages 19-55, Springer, 2011. [doi]

Enhanced linearized reduced-order models for subsurface flow simulationJincong He, J. Sætrom, Louis J. Durlofsky. jcphy, 230(23):8313-8341, 2011. [doi]

2010

Linearized reduced-order models for subsurface flow simulationM. A. Cardoso, Louis J. Durlofsky. jcphy, 229(3):681-700, 2010. [doi]

Application of derivative-free methodologies to generally constrained oil production optimization problemsDavid Echeverría Ciaurri, Obiajulu J. Isebor, Louis J. Durlofsky. iccs 2010: 1301-1310 [doi]

Use of retrospective optimization for placement of oil wells under uncertaintyHonggang Wang, David Echeverría Ciaurri, Louis J. Durlofsky. wsc 2010: 1750-1757 [doi]

2006

Efficient Incorporation of Global Effects in Upscaled Models of Two-Phase Flow and Transport in Heterogeneous FormationsYuguang Chen, Louis J. Durlofsky. mmas, 5(2):445-475, 2006. [doi]

Unstructured grid optimization for improved monotonicity of discrete solutions of elliptic equations with highly anisotropic coefficientsMartin J. Mlacnik, Louis J. Durlofsky. jcphy, 216(1):337-361, 2006. [doi]

2003

A Generalized Convection-Diffusion Model for Subgrid Transport in Porous MediaYalchin Efendiev, Louis J. Durlofsky. mmas, 1(3):504-526, 2003. [doi]

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