Eduardo Gildin, Ph.D.
Affiliations: | 2006 | University of Texas at Austin, Austin, Texas, U.S.A. |
Area:
Aerospace EngineeringGoogle:
"Eduardo Gildin"Parents
Sign in to add mentorRobert H. Bishop | grad student | 2006 | UT Austin | |
(Model and controller reduction of large -scale structures based on projection methods.) |
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Publications
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Gurjao KGR, Gildin E, Hohendorff J, et al. (2020) Oscillation mitigation in subsurface and surface couplings using PID controllers Journal of Petroleum Science and Engineering. 188: 106920 |
Cheung SW, Chung ET, Efendiev Y, et al. (2020) Deep global model reduction learning in porous media flow simulation Computational Geosciences. 24: 261-274 |
Florez H, Gildin E. (2020) Global/local model order reduction in coupled flow and linear thermal-poroelasticity Computational Geosciences. 24: 709-735 |
Holanda RWd, Gildin E, Valkó PP. (2019) Probabilistically Mapping Well Performance in Unconventional Reservoirs With a Physics-Based Decline-Curve Model Spe Reservoir Evaluation & Engineering. 22: 1527-1550 |
Tan X, Gildin E, Florez H, et al. (2019) Trajectory-based DEIM (TDEIM) model reduction applied to reservoir simulation Computational Geosciences. 23: 35-53 |
Plaksina T, Gildin E. (2018) Applied method for production design optimization under geologic and economic uncertainties in shale gas reservoirs International Journal of Modelling and Simulation. 38: 67-82 |
Holanda RWd, Gildin E, Jensen JL. (2018) A generalized framework for Capacitance Resistance Models and a comparison with streamline allocation factors Journal of Petroleum Science and Engineering. 162: 260-282 |
Redick BS, Gildin E. (2018) Improved Surface-Subsurface Coupled Reservoir Simulation using Automatic PID Control ⁎ ⁎The authors would like to acknowledge the partial support from foundation CMG through the TAMU FCMG Research Chair & QRNF. Ifac-Papersonline. 51: 82-87 |
Losoya EZ, Gildin E, Noynaert SF. (2018) Real-time Rate of Penetration Optimization of an Autonomous Lab-Scale Rig using a Scheduled-Gain PID Controller and Mechanical Specific Energy Ifac-Papersonline. 51: 56-61 |
Beykal B, Boukouvala F, Floudas CA, et al. (2018) Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations Computers & Chemical Engineering. 114: 99-110 |