Recurrent Transformer U-Net Surrogate for Flow Modeling and Data Assimilation in Subsurface Formations with Faults
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Han, Yifu, Durlofsky, Louis J. |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Graph Network Surrogate Model for Subsurface Flow Optimization
par: Tang, Haoyu, et autres
Publié: (2023)
par: Tang, Haoyu, et autres
Publié: (2023)
Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage
par: Teng, Wenchao, et autres
Publié: (2024)
par: Teng, Wenchao, et autres
Publié: (2024)
Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations
par: Han, Yifu, et autres
Publié: (2024)
par: Han, Yifu, et autres
Publié: (2024)
Prediction of Fault Slip Tendency in CO${_2}$ Storage using Data-space Inversion
par: He, Xiaowen, et autres
Publié: (2026)
par: He, Xiaowen, et autres
Publié: (2026)
Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data
par: Wang, Nanzhe, et autres
Publié: (2024)
par: Wang, Nanzhe, et autres
Publié: (2024)
Surrogate Model for Geological CO2 Storage and Its Use in Hierarchical MCMC History Matching
par: Han, Yifu, et autres
Publié: (2023)
par: Han, Yifu, et autres
Publié: (2023)
Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet
par: Adrian, Melissa, et autres
Publié: (2024)
par: Adrian, Melissa, et autres
Publié: (2024)
AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow
par: Liu, Jiale, et autres
Publié: (2026)
par: Liu, Jiale, et autres
Publié: (2026)
Continuous Data Assimilation with Learned Surrogate Dynamics
par: Li, Wenwen, et autres
Publié: (2026)
par: Li, Wenwen, et autres
Publié: (2026)
RL2ML: Finite-Rollout Surrogate Objectives from Reinforcement Learning to Maximum Likelihood
par: Zheng, Yifu
Publié: (2026)
par: Zheng, Yifu
Publié: (2026)
Latent diffusion models for parameterization and data assimilation of facies-based geomodels
par: Di Federico, Guido, et autres
Publié: (2024)
par: Di Federico, Guido, et autres
Publié: (2024)
FlowDA: Accurate, Low-Latency Weather Data Assimilation via Flow Matching
par: Cheng, Ran, et autres
Publié: (2026)
par: Cheng, Ran, et autres
Publié: (2026)
U-Net Kalman Filter (UNetKF): An Example of Machine Learning-assisted Ensemble Data Assimilation
par: Lu, Feiyu
Publié: (2024)
par: Lu, Feiyu
Publié: (2024)
Graph Network Surrogate Model for Optimizing the Placement of Horizontal Injection Wells for CO2 Storage
par: Tang, Haoyu, et autres
Publié: (2024)
par: Tang, Haoyu, et autres
Publié: (2024)
Bridging Spectral Operator Learning and U-Net Hierarchies: SpectraNet for Stable Autoregressive PDE Surrogates
par: Noguera, Enrique Hernández, et autres
Publié: (2026)
par: Noguera, Enrique Hernández, et autres
Publié: (2026)
Improving Surrogate Model Robustness to Perturbations for Dynamical Systems Through Machine Learning and Data Assimilation
par: Ajayakumar, Abhishek, et autres
Publié: (2023)
par: Ajayakumar, Abhishek, et autres
Publié: (2023)
Neural Incremental Data Assimilation
par: Blanke, Matthieu, et autres
Publié: (2024)
par: Blanke, Matthieu, et autres
Publié: (2024)
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
par: Ozan, Defne E., et autres
Publié: (2025)
par: Ozan, Defne E., et autres
Publié: (2025)
Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations
par: Xu, Xiaoze, et autres
Publié: (2024)
par: Xu, Xiaoze, et autres
Publié: (2024)
PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems
par: Wang, Hao, et autres
Publié: (2025)
par: Wang, Hao, et autres
Publié: (2025)
Efficient Real-Time Adaptation of ROMs for Unsteady Flows Using Data Assimilation
par: Zighed, Ismaël, et autres
Publié: (2026)
par: Zighed, Ismaël, et autres
Publié: (2026)
Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model
par: Chen, Zeping, et autres
Publié: (2025)
par: Chen, Zeping, et autres
Publié: (2025)
Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and Interpretation
par: Mabadeje, Ademide O., et autres
Publié: (2023)
par: Mabadeje, Ademide O., et autres
Publié: (2023)
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
par: Chen, Siyi, et autres
Publié: (2025)
par: Chen, Siyi, et autres
Publié: (2025)
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data
par: Olson, Matthew L., et autres
Publié: (2023)
par: Olson, Matthew L., et autres
Publié: (2023)
Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems
par: Ju, Xin, et autres
Publié: (2026)
par: Ju, Xin, et autres
Publié: (2026)
Surrogate models for nuclear fusion with parametric Shallow Recurrent Decoder Networks: applications to magnetohydrodynamics
par: Verso, M. Lo, et autres
Publié: (2026)
par: Verso, M. Lo, et autres
Publié: (2026)
Data Assimilation in Integrated Subsurface Flow Models (2/3)
par: Waldowski, Bastian
Publié: (2025)
par: Waldowski, Bastian
Publié: (2025)
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
par: Chen, Kun, et autres
Publié: (2024)
par: Chen, Kun, et autres
Publié: (2024)
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification
par: Duan, Yuhan, et autres
Publié: (2025)
par: Duan, Yuhan, et autres
Publié: (2025)
Topological Approach for Data Assimilation
par: Chumley, Max M., et autres
Publié: (2024)
par: Chumley, Max M., et autres
Publié: (2024)
Flow Matching for Efficient and Scalable Data Assimilation
par: Transue, Taos, et autres
Publié: (2025)
par: Transue, Taos, et autres
Publié: (2025)
Small Ensemble-based Data Assimilation: A Machine Learning-Enhanced Data Assimilation Method with Limited Ensemble Size
par: Li, Zhilin, et autres
Publié: (2025)
par: Li, Zhilin, et autres
Publié: (2025)
WINFlowNets: Warm-up Integrated Networks Training of Generative Flow Networks for Robotics and Machine Fault Adaptation
par: Sufiyan, Zahin, et autres
Publié: (2026)
par: Sufiyan, Zahin, et autres
Publié: (2026)
Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences
par: Tumma, Neehal, et autres
Publié: (2026)
par: Tumma, Neehal, et autres
Publié: (2026)
Lithological Controls on the Permeability of Geologic Faults: Surrogate Modeling and Sensitivity Analysis
par: Lu, Hannah, et autres
Publié: (2025)
par: Lu, Hannah, et autres
Publié: (2025)
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification
par: Silva, Vinicius L. S., et autres
Publié: (2021)
par: Silva, Vinicius L. S., et autres
Publié: (2021)
Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN
par: Sampaio, M. A., et autres
Publié: (2026)
par: Sampaio, M. A., et autres
Publié: (2026)
Exploring the Use of Machine Learning Weather Models in Data Assimilation
par: Tian, Xiaoxu, et autres
Publié: (2024)
par: Tian, Xiaoxu, et autres
Publié: (2024)
Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation
par: Yang, Yiming, et autres
Publié: (2025)
par: Yang, Yiming, et autres
Publié: (2025)
Documents similaires
-
Graph Network Surrogate Model for Subsurface Flow Optimization
par: Tang, Haoyu, et autres
Publié: (2023) -
Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage
par: Teng, Wenchao, et autres
Publié: (2024) -
Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations
par: Han, Yifu, et autres
Publié: (2024) -
Prediction of Fault Slip Tendency in CO${_2}$ Storage using Data-space Inversion
par: He, Xiaowen, et autres
Publié: (2026) -
Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data
par: Wang, Nanzhe, et autres
Publié: (2024)