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Teeratorn Kadeethum
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Year
Physics-informed neural networks for solving nonlinear diffusivity and Biot’s equations
T Kadeethum, TM Jørgensen, HM Nick
PloS one 15 (5), e0232683, 2020
902020
A framework for data-driven solution and parameter estimation of pdes using conditional generative adversarial networks
T Kadeethum, D O’Malley, JN Fuhg, Y Choi, J Lee, HS Viswanathan, ...
Nature Computational Science 1 (12), 819-829, 2021
662021
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques
T Kadeethum, F Ballarin, Y Choi, D O’Malley, H Yoon, N Bouklas
Advances in Water Resources 160, 104098, 2022
502022
The effect of stress distribution on the shape and direction of hydraulic fractures in layered media
S Salimzadeh, ED Hagerup, T Kadeethum, HM Nick
Engineering Fracture Mechanics 215, 151-163, 2019
372019
Physics-Informed Neural Networks for Solving Inverse Problems of Nonlinear Biot's Equations: Batch Training
T Kadeethum, TM Jørgensen, HM Nick
54th U.S. Rock Mechanics/Geomechanics Symposium, 2020
282020
Flow in porous media with low dimensional fractures by employing enriched Galerkin method
T Kadeethum, HM Nick, S Lee, F Ballarin
Advances in Water Resources 142, 103620, 2020
272020
An investigation of hydromechanical effect on well productivity in fractured porous media using full factorial experimental design
T Kadeethum, S Salimzadeh, HM Nick
Journal of Petroleum Science and Engineering 181, 106233, 2019
252019
A locally conservative mixed finite element framework for coupled hydro-mechanical–chemical processes in heterogeneous porous media
T Kadeethum, S Lee, F Ballarin, J Choo, HM Nick
Computers & Geosciences 152, 104774, 2021
242021
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties
T Kadeethum, D O’Malley, Y Choi, HS Viswanathan, N Bouklas, H Yoon
Computers & Geosciences 167, 105212, 2022
232022
Data-driven reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation
T Kadeethum, F Ballarin, N Bouklas
GEM-International Journal on Geomathematics 12 (1), 12, 2021
222021
Well productivity evaluation in deformable single-fracture media
T Kadeethum, S Salimzadeh, HM Nick
Geothermics 87, 101839, 2020
222020
A novel enriched galerkin method for modelling coupled mechanical deformation in heterogeneous porous media
T Kadeethum, HM Nick, S Lee, CN Richardson, S Salimzadeh, F Ballarin
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2019-0228, 2019
192019
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
T Kadeethum, F Ballarin, D O’malley, Y Choi, N Bouklas, H Yoon
Scientific Reports 12 (1), 20654, 2022
132022
Enriched Galerkin discretization for modeling poroelasticity and permeability alteration in heterogeneous porous media
T Kadeethum, HM Nick, S Lee, F Ballarin
Journal of Computational Physics 427, 110030, 2021
132021
Enhancing high-fidelity nonlinear solver with reduced order model
T Kadeethum, D O’malley, F Ballarin, I Ang, JN Fuhg, N Bouklas, ...
Scientific Reports 12 (1), 20229, 2022
112022
Finite element solvers for Biot’s poroelasticity equations in porous media
T Kadeethum, S Lee, HM Nick
Mathematical Geosciences 52, 977-1015, 2020
112020
A framework for upscaling and modelling fluid flow for discrete fractures using conditional generative adversarial networks
CAS Ferreira, T Kadeethum, N Bouklas, HM Nick
Advances in Water Resources 166, 104264, 2022
92022
Overcome viscous fingering effect in heavy oil reservoirs by an optimized smart water injection scheme
T Kadeethum, HK Sarma, BB Maini
SPE Canada Heavy Oil Conference, D021S006R001, 2017
92017
Understanding uncertainties using performance predictive models for smart waterflooding
T Kadeethum
Calgary, Alberta, Canada: M. Sc. thesis, University of Calgary, 2016
82016
Continuous conditional generative adversarial networks for data-driven modelling of geologic CO2 storage and plume evolution
M Stepien, CAS Ferreira, S Hosseinzadehsadati, T Kadeethum, HM Nick
Gas Science and Engineering 115, 204982, 2023
72023
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Articles 1–20