A surrogate model for predicting ground surface deformation gradient induced by pressurized fractures

Salimzadeh, Saeed; Kasperczyk, Dane; Kadeethum, Teeratorn

doi:10.1016/j.advwatres.2023.104556

A surrogate model for predicting ground surface deformation gradient induced by pressurized fractures

Journal Article · Wed Nov 01 00:00:00 EDT 2023 · Advances in Water Resources

DOI:https://doi.org/10.1016/j.advwatres.2023.104556· OSTI ID:2007683

Salimzadeh, Saeed; ; Kadeethum, Teeratorn

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Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: NA0003525

OSTI ID:: 2007683

Alternate ID(s):: OSTI ID: 2311431

Journal Information:: Advances in Water Resources, Journal Name: Advances in Water Resources Journal Issue: C Vol. 181; ISSN 0309-1708

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

References (14)

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Multi-fidelity Bayesian optimization to solve the inverse Stefan problem Winter, J. M.; Abaidi, R.; Kaiser, J. W. J. Computer Methods in Applied Mechanics and Engineering, Vol. 410 https://doi.org/10.1016/j.cma.2023.115946	journal	May 2023
Physics-informed deep learning for simultaneous surrogate modeling and PDE-constrained optimization of an airfoil geometry Sun, Yubiao; Sengupta, Ushnish; Juniper, Matthew Computer Methods in Applied Mechanics and Engineering, Vol. 411 https://doi.org/10.1016/j.cma.2023.116042	journal	June 2023
An X-FEM technique in modeling hydro-fracture interaction with naturally-cemented faults Vahab, M.; Khoei, A. R.; Khalili, N. Engineering Fracture Mechanics, Vol. 212 https://doi.org/10.1016/j.engfracmech.2019.03.020	journal	May 2019
Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR Tang, Hewei; Fu, Pengcheng; Jo, Honggeun International Journal of Greenhouse Gas Control, Vol. 120 https://doi.org/10.1016/j.ijggc.2022.103765	journal	October 2022
Predicting CO ₂ Plume Migration in Heterogeneous Formations Using Conditional Deep Convolutional Generative Adversarial Network Zhong, Zhi; Sun, Alexander Y.; Jeong, Hoonyoung Water Resources Research, Vol. 55, Issue 7 https://doi.org/10.1029/2018WR024592	journal	July 2019
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks Kadeethum, Teeratorn; O’Malley, Daniel; Fuhg, Jan Niklas Nature Computational Science, Vol. 1, Issue 12 https://doi.org/10.1038/s43588-021-00171-3	journal	December 2021
Fully Coupled XFEM Model for Flow and Deformation in Fractured Porous Media with Explicit Fracture Flow Salimzadeh, Saeed; Khalili, Nasser International Journal of Geomechanics, Vol. 16, Issue 4 https://doi.org/10.1061/(ASCE)GM.1943-5622.0000623	journal	August 2016
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? Hu, Zheyuan; Jagtap, Ameya D.; Karniadakis, George Em SIAM Journal on Scientific Computing, Vol. 44, Issue 5 https://doi.org/10.1137/21M1447039	journal	September 2022
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