Ziyi Yin
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Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs
TJ Grady, R Khan, M Louboutin, Z Yin, PA Witte, R Chandra, RJ Hewett, ...
Computers & Geosciences 178, 105402, 2023
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators
Z Yin, A Siahkoohi, M Louboutin, FJ Herrmann
Second International Meeting for Applied Geoscience & Energy, 467-472, 2022
Towards large-scale learned solvers for parametric pdes with model-parallel fourier neural operators
TJ Grady, R Khan, M Louboutin, Z Yin, PA Witte, R Chandra, RJ Hewett, ...
arXiv preprint arXiv:2204.01205, 2022
Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model
Z Yin, M Louboutin, FJ Herrmann
SEG International Exposition and Annual Meeting, D011S145R001, 2021
Solving multiphysics-based inverse problems with learned surrogates and constraints
Z Yin, R Orozco, M Louboutin, FJ Herrmann
Advanced Modeling and Simulation in Engineering Sciences 10 (1), 1-27, 2023
Learned multiphysics inversion with differentiable programming and machine learning
M Louboutin*, Z Yin*, R Orozco, TJ Grady, A Siahkoohi, G Rizzuti, ...
The Leading Edge 42 (7), 474-486, 2023
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images
HT Erdinc, AP Gahlot, Z Yin, M Louboutin, FJ Herrmann
AAAI 2022 Fall Symposium - The Role of AI in Responding to Climate Challenges, 2022
A simulation-free seismic survey design by maximizing the spectral gap
Y Zhang, M Louboutin, A Siahkoohi, Z Yin, R Kumar, FJ Herrmann
Second International Meeting for Applied Geoscience & Energy, 15-20, 2022
Seismic Velocity Inversion and Uncertainty Quantification Using Conditional Normalizing Flows
Y Ren, PA Witte, A Siahkoohi, M Louboutin, Z Yin, FJ Herrmann
AGU Fall Meeting 2021, 2021
Inference of CO2 flow patterns--a feasibility study
AP Gahlot, HT Erdinc, R Orozco, Z Yin, FJ Herrmann
NeurIPS 2023 Workshop - Tackling Climate Change with Machine Learning, 2023
Derisking geologic carbon storage from high-resolution time-lapse seismic to explainable leakage detection
Z Yin, HT Erdinc, AP Gahlot, M Louboutin, FJ Herrmann
The Leading Edge 42 (1), 69-76, 2023
Accelerating innovation with software abstractions for scalable computational geophysics
M Louboutin, P Witte, A Siahkoohi, G Rizzuti, Z Yin, R Orozco, ...
Second International Meeting for Applied Geoscience & Energy, 1482-1486, 2022
slimgroup/JUDI4Cloud. jl: First public release
M Louboutin, Z Yin, FJ Herrmann
Zenodo, 2022
Extended source imaging - A unifying framework for seismic & medical imaging
Z Yin, R Orozco, P Witte, M Louboutin, G Rizzuti, FJ Herrmann
SEG Technical Program Expanded Abstracts 2020, 3502-3506, 2020
WISE: full-Waveform variational Inference via Subsurface Extensions
Z Yin*, R Orozco*, M Louboutin, FJ Herrmann
Accepted for publication in Geophysics, 2023
Uncertainty-Aware Time-Lapse Monitoring of Geological Carbon Storage with Learned Surrogates.”
Z Yin, R Orozco, M Louboutin, A Siahkoohi, FJ Herrmann
Sintefmath/JutulDarcy. jl: V0. 2.3 (version v0. 2.3). Zenodo
O M°yner, G Bruer, Z Yin
Slimgroup/JutulDarcyRules. jl: V0. 2.5 (version v0. 2.5). Zenodo
Z Yin, G Bruer, M Louboutin
Sintefmath/Jutul. jl: V0. 2.6 (version v0. 2.6). Zenodo
O M°yner, M Johnsrud, HM Nilsen, X Raynaud, KO Lye, Z Yin
slimgroup/judi. jl: v2. 6.4, January 2022
M Louboutin, P Witte, Z Yin, H Modzelewski, C da Costa
URL https://doi. org/10.5281/zenodo 5893940, 0
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Articles 1–20