Eduardo Gildin

32 papers C 2Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic mode decomposition accelerated forecast and optimization of geological CO2 storage in deep saline aquifers. Comput. Chem. Eng. Dimitrios Voulanas, Eduardo Gildin
2026	J	`jnl`	Soft Sensor for Bottom-Hole Pressure Estimation in Petroleum Wells Using Long Short-Term Memory and Transfer Learning. CoRR Mateus A. Fernandes, Eduardo Gildin, Marcio Augusto Sampaio
2026	J	`jnl`	Updating DMD Operators for Changes in Domain Properties. CoRR Dimitrios Voulanas, Eduardo Gildin
2025	J	`jnl`	Data-driven models for production forecasting and decision supporting in petroleum reservoirs. CoRR Mateus A. Fernandes, Michael M. Furlanetti, Eduardo Gildin, Marcio Augusto Sampaio
2025	J	`jnl`	Identifying Large-Scale Linear Parameter Varying Systems with Dynamic Mode Decomposition Methods. CoRR Jean Panaioti Jordanou, Eduardo Camponogara, Eduardo Gildin
2025	J	`jnl`	Identifying large-scale linear parameter varying systems with dynamic mode decomposition methods. J. Comput. Phys. Jean Panaioti Jordanou, Eduardo Camponogara, Eduardo Gildin
2025	J	`jnl`	Introducing Coherent-Control Koopman to Reservoir Scale Porous Media Flow Studies. CoRR Dimitrios Voulanas, Eduardo Gildin
2025	J	`jnl`	Neural operator-based proxy for reservoir simulations considering varying well settings, locations, and permeability fields. Comput. Geosci. Daniel Badawi, Eduardo Gildin
2024	C	`conf`	Data-Driven Estimation of Flowing Bottom-Hole Pressure in Petroleum Wells Using Long Short-Term Memory. ICMLA Mateus A. Fernandes, Eduardo Gildin, Marcio Augusto Sampaio
2024	J	`jnl`	Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation. CoRR Jungang Chen, Eduardo Gildin, John E. Killough
2024	J	`jnl`	Neural Operator-Based Proxy for Reservoir Simulations Considering Varying Well Settings, Locations, and Permeability Fields. CoRR Daniel Badawi, Eduardo Gildin
2024	J	`jnl`	Optimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learning. CoRR Jungang Chen, Eduardo Gildin, Georgy Kompantsev
2023	J	`jnl`	Investigation of proper orthogonal decomposition for echo state networks. Neurocomputing Jean Panaioti Jordanou, Eric Aislan Antonelo, Eduardo Camponogara, Eduardo Gildin
2023	J	`jnl`	Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls. CoRR Jungang Chen, Eduardo Gildin, John E. Killough
2023	J	`jnl`	Physics-informed neural networks with adaptive localized artificial viscosity. J. Comput. Phys. Emilio Jose Rocha Coutinho, Marcelo Dall'Aqua, Levi D. McClenny, Ming Zhong, Ulisses Braga-Neto, Eduardo Gildin
2023	J	`jnl`	Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls. CoRR Jungang Chen, Eduardo Gildin, John E. Killough
2022	J	`jnl`	Investigation of Proper Orthogonal Decomposition for Echo State Networks. CoRR Jean Panaioti Jordanou, Eric Aislan Antonelo, Eduardo Camponogara, Eduardo Gildin
2022	J	`jnl`	Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity. CoRR Emilio Jose Rocha Coutinho, Marcelo Dall'Aqua, Levi D. McClenny, Ming Zhong, Ulisses Braga-Neto, Eduardo Gildin
2021	J	`jnl`	DREAMS: Drilling and Extraction Automated System. CoRR 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
2021	J	`jnl`	Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped With State and Well Output Prediction. Frontiers Appl. Math. Stat. Emilio Jose Rocha Coutinho, Marcelo Dall'Aqua, Eduardo Gildin
2020	J	`jnl`	Non-Intrusive Parametric Model Order Reduction With Error Correction Modeling for Changing Well Locations Using a Machine Learning Framework. CoRR Hardikkumar Zalavadia, Eduardo Gildin
2018	J	`jnl`	Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations. Comput. Chem. Eng. Burcu Beykal, Fani Boukouvala, Christodoulos A. Floudas, Nadav Sorek, Hardikkumar Zalavadia, Eduardo Gildin
2017	J	`jnl`	Rigorous Integrated Evolutionary Workflow for Optimal Exploitation of Unconventional Gas Assets. Int. J. Energy Optim. Eng. Tatyana Plaksina, Eduardo Gildin
2016	J	`jnl`	Online Adaptive Local-Global Model Reduction for Flows in Heterogeneous Porous Media. Comput. Yalchin Efendiev, Eduardo Gildin, Yanfang Yang
2016	J	`jnl`	POD-based model reduction for stabilized finite element approximations of shallow water flows. J. Comput. Appl. Math. Alexander Lozovskiy, Matthew W. Farthing, Chris E. Kees, Eduardo Gildin
2016	J	`jnl`	Tensor based geology preserving reservoir parameterization with Higher Order Singular Value Decomposition (HOSVD). Comput. Geosci. Sardar Afra, Eduardo Gildin
2014	C	`conf`	Heterogeneous reservoir characterization using efficient parameterization through higher order SVD (HOSVD). ACC Sardar Afra, Eduardo Gildin, Mohammadali Tarrahi
2014	J	`jnl`	Local-global model reduction of parameter-dependent, single-phase flow models via balanced truncation. J. Comput. Appl. Math. Michael Presho, Anastasiya Protasov, Eduardo Gildin
2013	—	`conf`	Permeability Parametrization Using Higher Order Singular Value Decomposition (HOSVD). ICMLA (2) Sardar Afra, Eduardo Gildin
2012	J	`jnl`	Local-global multiscale model reduction for flows in high-contrast heterogeneous media. J. Comput. Phys. Yalchin Efendiev, Juan Galvis, Eduardo Gildin
2007	—	`conf`	An educational perspective to model and controller reduction of dynamical systems. CDC Eduardo Gildin, Robert H. Bishop, Athanasios C. Antoulas, Danny C. Sorensen
2004	—	`conf`	Krylov-based controller reduction for large-scale systems. CDC Serkan Gugercin, Athanasios C. Antoulas, Christopher A. Beattie, Eduardo Gildin