default search action
Louis J. Durlofsky
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
- [j18]Guido Di Federico, Louis J. Durlofsky:
Latent diffusion models for parameterization of facies-based geomodels and their use in data assimilation. Comput. Geosci. 194: 105755 (2025) - 2024
- [j17]Haoyu Tang
, Louis J. Durlofsky:
Graph network surrogate model for subsurface flow optimization. J. Comput. Phys. 512: 113132 (2024) - [i19]Guido Di Federico, Louis J. Durlofsky:
Latent diffusion models for parameterization and data assimilation of facies-based geomodels. CoRR abs/2406.14815 (2024) - [i18]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) - [i17]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) - [i16]Haoyu Tang, Louis J. Durlofsky:
Graph Network Surrogate Model for Optimizing the Placement of Horizontal Injection Wells for CO2 Storage. CoRR abs/2410.07142 (2024) - [i15]Wenchao Teng, Louis J. Durlofsky:
Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage. CoRR abs/2410.15302 (2024) - 2023
- [j16]Su Jiang
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
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
Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems. Frontiers Appl. Math. Stat. 7: 686754 (2021) - [j13]Yimin Liu
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
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
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-11 20:47 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: