Eduardo Gildin

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yalchin efendievMobil Chair in Computational Science, Professor of Mathematics, Texas A&M UniversityVerified email at math.tamu.edu
Reza GhasemiSenior Reservoir Engineer at Stone Ridge TechnologyVerified email at stoneridgetechnology.com
Rafael Wanderley de HolandaTexas A&M UniversityVerified email at tamu.edu
Hardikkumar ZalavadiaResearch Engineer, Xecta Digital LabsVerified email at xecta.com
Sam NoynaertAssistant Professor in Harold Vance Department of Petroleum Engineering, Texas A&M UniversityVerified email at pe.tamu.edu
P P ValkoProfessor Emeritus of Petroleum Engineering, Texas A&M UniversityVerified email at tamu.edu
Yanfang YangGuangzhou UniversityVerified email at gzhu.edu.cn
Nadav SorekPetroleum Engineer PhD at Quantum Reservoir ImpactVerified email at qrigroup.com
Victor M. CaloJohn Curtin Distinguished Professor, Professorial Chair in Computational Geoscience, CurtinVerified email at curtin.edu.au
Burcu BeykalAssistant Professor, Chemical & Biomolecular Engineering, University of ConnecticutVerified email at uconn.edu
Sardar AfraManager of Data Science at American Family InsuranceVerified email at amfam.com
Hadi NasrabadiTexas A&M UniversityVerified email at tamu.edu
Athanasios C AntoulasRice UniversityVerified email at rice.edu
Mary F. WheelerUTAustinVerified email at ices.utexas.edu
Christodoulos A. FloudasDirector, Texas A&M Energy Institute, Erle Nye '59 Chair Professor for Engineering ExcellenceVerified email at tamu.edu
Fani BoukouvalaAssistant Professor, Chemical & Biomolecular Engineering, Georgia Institute of TechnologyVerified email at chbe.gatech.edu
Ben TarrahiStaff Data Scientist at ConocoPhillipsVerified email at apple.com
Marcio Augusto Sampaio PintoUniversity of São Paulo (USP)Verified email at usp.br
Gorgonio Fuentes-CruzTexas A&M UniversityVerified email at pete.tamu.edu
Behnam JafarpourProfessor of Chemical and Electrical Engineering, USCVerified email at usc.edu

Eduardo Gildin

Associate Professor, Texas A&M University

Verified email at pe.tamu.edu

model reduction porous media flow reservoir simulation optmization


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A state-of-the-art literature review on capacitance resistance models for reservoir characterization and performance forecasting RW Holanda, E Gildin, JL Jensen, LW Lake, CS Kabir Energies 11 (12), 3368, 2018	132	2018
Efficient production optimization with flow-network models P Lerlertpakdee, B Jafarpour, E Gildin SPE Journal 19 (06), 1083-1095, 2014	102	2014
Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations B Beykal, F Boukouvala, CA Floudas, N Sorek, H Zalavadia, E Gildin Computers & Chemical Engineering 114, 99-110, 2018	84	2018
Fast multiscale reservoir simulations using pod-deim model reduction M Ghasemi, Y Yang, E Gildin, Y Efendiev, V Calo SPE Reservoir Simulation Conference?, D031S010R005, 2015	83	2015
Nonlinear complexity reduction for fast simulation of flow in heterogeneous porous media E Gildin, M Ghasemi, A Romanovskay, Y Efendiev SPE Reservoir Simulation Conference?, SPE-163618-MS, 2013	78	2013
Local–global multiscale model reduction for flows in high-contrast heterogeneous media Y Efendiev, J Galvis, E Gildin Journal of Computational Physics 231 (24), 8100-8113, 2012	78	2012
Fast multiscale reservoir simulations with POD-DEIM model reduction Y Yang, M Ghasemi, E Gildin, Y Efendiev, V Calo SPE Journal 21 (06), 2141-2154, 2016	69	2016
Analyzing production data from hydraulically fractured wells: the concept of induced permeability field G Fuentes-Cruz, E Gildin, PP Valkó SPE Reservoir evaluation & engineering 17 (02), 220-232, 2014	58	2014
Complexity reduction of multiphase flows in heterogeneous porous media M Ghommem, E Gildin, M Ghasemi SPE Journal 21 (01), 144-151, 2016	55	2016
Improved waterflood analysis using the capacitance-resistance model within a control systems framework RW Holanda, E Gildin, JL Jensen SPE Latin America and Caribbean Petroleum Engineering Conference, D011S005R005, 2015	55	2015
Combining physics, statistics, and heuristics in the decline-curve analysis of large data sets in unconventional reservoirs RW De Holanda, E Gildin, PP Valkó SPE Reservoir Evaluation & Engineering 21 (03), 683-702, 2018	53	2018
Dimensionality reduction for production optimization using polynomial approximations N Sorek, E Gildin, F Boukouvala, B Beykal, CA Floudas Computational Geosciences 21, 247-266, 2017	49	2017
Reduced order modeling in reservoir simulation using the bilinear approximation techniques M Ghasemi, A Ibrahim, E Gildin SPE Latin America and Caribbean Petroleum Engineering Conference, D011S007R003, 2014	49	2014
Data-driven end-to-end production prediction of oil reservoirs by enkf-enhanced recurrent neural networks A Bao, E Gildin, J Huang, EJ Coutinho SPE Latin America and Caribbean Petroleum Engineering Conference, D021S004R001, 2020	47	2020
Trajectory-based DEIM (TDEIM) model reduction applied to reservoir simulation X Tan, E Gildin, H Florez, S Trehan, Y Yang, N Hoda Computational Geosciences 23, 35-53, 2019	47	2019
Efficient optimization framework for integrated placement of horizontal wells and hydraulic fracture stages in unconventional gas reservoirs X Ma, E Gildin, T Plaksina Journal of Unconventional Oil and Gas Resources 9, 1-17, 2015	47	2015
Physics-informed neural networks with adaptive localized artificial viscosity EJR Coutinho, M Dall'Aqua, L McClenny, M Zhong, U Braga-Neto, ... Journal of Computational Physics 489, 112265, 2023	46	2023
A generalized framework for Capacitance Resistance Models and a comparison with streamline allocation factors RW de Holanda, E Gildin, JL Jensen Journal of Petroleum Science and Engineering 162, 260-282, 2018	39	2018
Online adaptive local-global model reduction for flows in heterogeneous porous media Y Efendiev, E Gildin, Y Yang Computation 4 (2), 22, 2016	37	2016
Heterogeneous reservoir characterization using efficient parameterization through higher order svd (hosvd) S Afra, E Gildin, M Tarrahi 2014 American Control Conference, 147-152, 2014	35	2014

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