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ORCIDEduardo Gildin
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2020 – today
- 2024
[i9]Jungang Chen, Eduardo Gildin, Georgy Kompantsev:
Optimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learning. CoRR abs/2403.07360 (2024)- [i8]Daniel Badawi, Eduardo Gildin:
Neural Operator-Based Proxy for Reservoir Simulations Considering Varying Well Settings, Locations, and Permeability Fields. CoRR abs/2407.09728 (2024) - [i7]Jungang Chen, Eduardo Gildin, John E. Killough:
Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation. CoRR abs/2409.09920 (2024) - 2023
- [j10]Jean Panaioti Jordanou
, Eric Aislan Antonelo, Eduardo Camponogara, Eduardo Gildin:
Investigation of proper orthogonal decomposition for echo state networks. Neurocomputing 548: 126395 (2023) - [j9]Emilio Jose Rocha Coutinho, Marcelo Dall'Aqua, Levi D. McClenny, Ming Zhong, Ulisses Braga-Neto, Eduardo Gildin:
Physics-informed neural networks with adaptive localized artificial viscosity. J. Comput. Phys. 489: 112265 (2023) - [i6]Jungang Chen, Eduardo Gildin, John E. Killough:
Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls. CoRR abs/2305.09056 (2023) - [i5]Jungang Chen, Eduardo Gildin, John E. Killough:
Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls. CoRR abs/2310.06319 (2023) - 2022
- [i4]Emilio Jose Rocha Coutinho, Marcelo Dall'Aqua, Levi D. McClenny, Ming Zhong, Ulisses Braga-Neto, Eduardo Gildin:
Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity. CoRR abs/2203.08802 (2022) - [i3]Jean Panaioti Jordanou, Eric Aislan Antonelo, Eduardo Camponogara, Eduardo Gildin:
Investigation of Proper Orthogonal Decomposition for Echo State Networks. CoRR abs/2211.17179 (2022) - 2021
- [j8]Emilio Jose Rocha Coutinho, Marcelo Dall'Aqua, Eduardo Gildin:
Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped With State and Well Output Prediction. Frontiers Appl. Math. Stat. 7: 651178 (2021) - [i2]Mohamed Khaled, Srivignesh Srinivasan, Alkassoum Toure, Muhao Chen, Emily Kincaid, Thomas Lopaz, Luis Rodriguez, Jessica Ezemba, Ayodeji Adeniran, Teresa Valdez, Uthej Vattipalli, Le Linh, Ahmed Madi, Eduardo Gildin, Robert E. Skelton, Sam Noynaert, George Moridis:
DREAMS: Drilling and Extraction Automated System. CoRR abs/2106.05874 (2021) - 2020
- [i1]Hardikkumar Zalavadia, Eduardo Gildin:
Non-Intrusive Parametric Model Order Reduction With Error Correction Modeling for Changing Well Locations Using a Machine Learning Framework. CoRR abs/2001.05061 (2020)
2010 – 2019
- 2018
- [j7]Burcu Beykal, Fani Boukouvala, Christodoulos A. Floudas, Nadav Sorek, Hardikkumar Zalavadia, Eduardo Gildin:
Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations. Comput. Chem. Eng. 114: 99-110 (2018) - 2017
- [j6]Tatyana Plaksina, Eduardo Gildin:
Rigorous Integrated Evolutionary Workflow for Optimal Exploitation of Unconventional Gas Assets. Int. J. Energy Optim. Eng. 6(1): 101-122 (2017) - 2016
- [j5]Yalchin Efendiev, Eduardo Gildin, Yanfang Yang:
Online Adaptive Local-Global Model Reduction for Flows in Heterogeneous Porous Media. Comput. 4(2): 22 (2016) - [j4]Sardar Afra, Eduardo Gildin:
Tensor based geology preserving reservoir parameterization with Higher Order Singular Value Decomposition (HOSVD). Comput. Geosci. 94: 110-120 (2016) - [j3]Alexander Lozovskiy, Matthew W. Farthing, Chris E. Kees, Eduardo Gildin:
POD-based model reduction for stabilized finite element approximations of shallow water flows. J. Comput. Appl. Math. 302: 50-70 (2016) - 2014
- [j2]Michael Presho, Anastasiya Protasov, Eduardo Gildin:
Local-global model reduction of parameter-dependent, single-phase flow models via balanced truncation. J. Comput. Appl. Math. 271: 163-179 (2014) - [c4]Sardar Afra, Eduardo Gildin, Mohammadali Tarrahi:
Heterogeneous reservoir characterization using efficient parameterization through higher order SVD (HOSVD). ACC 2014: 147-152 - 2013
- [c3]Sardar Afra, Eduardo Gildin:
Permeability Parametrization Using Higher Order Singular Value Decomposition (HOSVD). ICMLA (2) 2013: 188-193 - 2012
- [j1]Yalchin Efendiev, Juan Galvis, Eduardo Gildin:
Local-global multiscale model reduction for flows in high-contrast heterogeneous media. J. Comput. Phys. 231(24): 8100-8113 (2012)
2000 – 2009
- 2007
- [c2]Eduardo Gildin, Robert H. Bishop, Athanasios C. Antoulas, Danny C. Sorensen:
An educational perspective to model and controller reduction of dynamical systems. CDC 2007: 2832-2837 - 2004
- [c1]Serkan Gugercin, Athanasios C. Antoulas, Christopher A. Beattie, Eduardo Gildin:
Krylov-based controller reduction for large-scale systems. CDC 2004: 3074-3077
Coauthor Index
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