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Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/nme.2453openalex-snapshot
Development and application of reduced‐order modeling procedures for subsurface flow simulation
inferredcites →https://doi.org/10.1007/s10596-005-9014-2openalex-snapshot
Reduced-order optimal control of water flooding using proper orthogonal decomposition
inferredcites →https://doi.org/10.1007/s10596-016-9611-2openalex-snapshot
Gaussian Processes for history-matching: application to an unconventional gas reservoir
inferredcites →https://doi.org/10.1007/s10596-018-9803-zopenalex-snapshot
Non-intrusive subdomain POD-TPWL for reservoir history matching
inferredcites →https://doi.org/10.1016/j.advwatres.2015.09.009openalex-snapshot
Surrogate accelerated sampling of reservoir models with complex structures using sparse polynomial chaos expansion
inferredcites →https://doi.org/10.1016/j.ijggc.2017.08.017openalex-snapshot
Reduced-order modeling of CO2 storage operations
inferredcites →https://doi.org/10.1016/j.jcp.2018.04.018openalex-snapshot
Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification
inferredcites →https://doi.org/10.1016/j.jcp.2020.109456openalex-snapshot
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
inferredcites →https://doi.org/10.1016/j.petrol.2014.06.004openalex-snapshot
Application of artificial neural networks in a history matching process
inferredcites →https://doi.org/10.1073/pnas.2101784118openalex-snapshot
Machine learning–accelerated computational fluid dynamics
inferredcites →https://doi.org/10.1615/jmachlearnmodelcomput.2020033905openalex-snapshot
LIMITATIONS OF PHYSICS INFORMED MACHINE LEARNING FOR NONLINEAR TWO-PHASE TRANSPORT IN POROUS MEDIA
inferredcites →https://doi.org/10.2118/142297-msopenalex-snapshot
New Frontiers in Large Scale Reservoir Simulation
inferredcites →https://doi.org/10.2118/163634-paopenalex-snapshot
Reduced-Order Modeling for Compositional Simulation by Use of Trajectory Piecewise Linearization
inferredcites →https://doi.org/10.2118/173271-paopenalex-snapshot
Fast Multiscale Reservoir Simulations With POD-DEIM Model Reduction
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4685290openalex-extracted
Graph Network Surrogate Model for Subsurface Flow Optimization
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StructureGraph: a universal performance evaluation method for engineering structures via heterogeneous graph neural network
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Capsule Network for Prediction of Permeability Tensor from X-ray Images of Porous Media
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A survey of geometric graph neural networks: data structures, models and applications
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Graph neural network for multi-physics geothermal simulation with discrete fracture network
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Learning CO 2 plume migration in faulted reservoirs with Graph Neural Networks
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Learning multi-phase flow and transport in fractured porous media with auto-regressive and recurrent graph neural networks
inferred← citeshttps://doi.org/10.1016/j.engstruct.2025.121482openalex-snapshot
Adaptive feature-extraction graph network for physical systems: Prediction of inviscid compressible flow in urban explosion
inferred← citeshttps://doi.org/10.1016/j.ijggc.2025.104404openalex-snapshot
Graph network surrogate model for optimizing the placement of horizontal injection wells for CO2 storage
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Feature-embedded multi-graph neural network for gas explosion load prediction in long straight tubes with non-uniform concentration
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inferred← citeshttps://doi.org/10.1029/2024wr039275openalex-snapshot
Uncertainty Quantification of Fluid Leakage and Fault Instability in Geologic CO2 ${\text{CO}}_{2}$ Storage
inferred← citeshttps://doi.org/10.1063/5.0189174openalex-snapshot
Simulating multiphase flow in fractured media with graph neural networks
inferred← citeshttps://doi.org/10.1080/10618562.2022.2146677openalex-snapshot
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems
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inferred← citeshttps://doi.org/10.1109/icsrs68021.2025.11422179openalex-snapshot
A Graph Neural Network Surrogate Model for Critical Infrastructure Network Flow Optimisation
inferred← citeshttps://doi.org/10.1109/isie54533.2024.10595708openalex-snapshot
Prior Knowledge Informed Neural Network for Subsurface Flow Prediction
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3357797openalex-snapshot
Residual-Enhanced Physics-Guided Machine Learning With Hard Constraints for Subsurface Flow in Reservoir Engineering
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3643632openalex-snapshot
Space–Frequency Cross-Attention Node Feature Optimization Graph Neural Operator for Partial Differential Equations
inferred← citeshttps://doi.org/10.1145/3690624.3709340openalex-snapshot
Future Matters for Present: Towards Effective Physical Simulation over Meshes
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From Voxels to Graphs an Efficient Approach to Estimate Elastic Properties of Digital Rocks
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Unveiling the Potential of MeshGraphNets for Predicting Subsurface Evolution in Carbon Storage Projects
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Graph Neural Networks for Predicting Pressure Distributions of High-Lift Aircraft
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Predicting Subsurface Reservoir Flow Dynamics at Scale with Hybrid Neural Network Simulator
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Graph-DEM: A Graph Neural Network Model for Proxy and Acceleration Discrete Element Method
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Complex Network Method for Inferring Well Interconnectivity in Hydrocarbon Reservoirs
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Graph Neural Networks for Unstructured Reservoir Flow Prediction: Conservation, Multi-Resolution Transfer, and Dual Physical Connectivity
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Graph Neural Networks as Surrogate Models for Aerodynamic Prediction: A Review
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Advances in Hydrology of Irrigation Districts in Cold Regions
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