Cover Image

Graph Network Surrogate Model for Subsurface Flow Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Haoyu, Durlofsky, Louis J.
Format:	Preprint
Published:	2023
Subjects:	Geophysics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data
by: Wang, Nanzhe, et al.
Published: (2024)

Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage
by: Teng, Wenchao, et al.
Published: (2024)

Recurrent Transformer U-Net Surrogate for Flow Modeling and Data Assimilation in Subsurface Formations with Faults
by: Han, Yifu, et al.
Published: (2025)

SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior
by: Erdinc, Huseyin Tuna, et al.
Published: (2026)

Latent diffusion models for parameterization and data assimilation of facies-based geomodels
by: Di Federico, Guido, et al.
Published: (2024)

The Transparent Earth: A Multimodal Foundation Model for the Earth's Subsurface
by: Mazumder, Arnab, et al.
Published: (2025)

Auto-Linear Phenomenon in Subsurface Imaging
by: Feng, Yinan, et al.
Published: (2023)

Well Log-Guided Synthesis of Subsurface Images from Sparse Petrography Data Using cGANs
by: Sadeghkhani, Ali, et al.
Published: (2026)

Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
by: Shukla, Pradeep Kumar, et al.
Published: (2025)

Surrogate Model for Geological CO2 Storage and Its Use in Hierarchical MCMC History Matching
by: Han, Yifu, et al.
Published: (2023)

Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
by: Lehmann, Fanny, et al.
Published: (2023)

Differentiable Inverse Modeling with Physics-Constrained Latent Diffusion for Heterogeneous Subsurface Parameter Fields
by: Lin, Zihan, et al.
Published: (2025)

An End-to-End Differentiable, Graph Neural Network-Embedded Pore Network Model for Permeability Prediction
by: Zhao, Qingqi, et al.
Published: (2025)

Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN)
by: Aljubran, Mohammad J., et al.
Published: (2024)

Double Difference Earthquake Location with Graph Neural Networks
by: McBrearty, Ian W., et al.
Published: (2024)

A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations
by: Gupta, Naveen, et al.
Published: (2024)

Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together?
by: Riess, Hans, et al.
Published: (2024)

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection
by: Koeshidayatullah, Ardiansyah, et al.
Published: (2024)

Graph Network Surrogate Model for Optimizing the Placement of Horizontal Injection Wells for CO2 Storage
by: Tang, Haoyu, et al.
Published: (2024)

3D latent diffusion models for parameterizing and history matching multiscenario facies systems
by: Di Federico, Guido, et al.
Published: (2025)

WISE: full-Waveform variational Inference via Subsurface Extensions
by: Yin, Ziyi, et al.
Published: (2023)

The Physics-Informed Neural Network Gravity Model: Generation III
by: Martin, John, et al.
Published: (2023)

Data-Driven Dynamic Friction Models based on Recurrent Neural Networks
by: Cortes, Gaëtan, et al.
Published: (2024)

Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design
by: Callahan, Jake, et al.
Published: (2024)

Extrapolability Improvement of Machine Learning-Based Evapotranspiration Models via Domain-Adversarial Neural Networks
by: Shi, Haiyang
Published: (2024)

Towards Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields
by: Xu, Anran, et al.
Published: (2025)

A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem with a Convolutional Neural Network
by: Xu, Anran, et al.
Published: (2023)

Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbations
by: González-Santana, Alejandro J., et al.
Published: (2026)

Lithological Controls on the Permeability of Geologic Faults: Surrogate Modeling and Sensitivity Analysis
by: Lu, Hannah, et al.
Published: (2025)

Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning
by: Ji, Haoyu, et al.
Published: (2025)

Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks
by: Chung, Jaehong, et al.
Published: (2023)

Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem
by: Zhang, Qi, et al.
Published: (2020)

First observations of the seiche that shook the world
by: Monahan, Thomas, et al.
Published: (2024)

Gabor-Enhanced Physics-Informed Neural Networks for Fast Simulations of Acoustic Wavefields
by: Abedi, Mohammad Mahdi, et al.
Published: (2025)

Learning Generative Models for Lumped Rainfall-Runoff Modeling
by: Yang, Yang, et al.
Published: (2023)

Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression
by: Pradhan, Anshuman, et al.
Published: (2023)

Transcending Classical Neural Network Boundaries: A Quantum-Classical Synergistic Paradigm for Seismic Data Processing
by: Yuan, Zhengyi, et al.
Published: (2026)

Towards Operational Streamflow Forecasting in the Limpopo River Basin using Long Short-Term Memory Networks
by: Tlhomole, James, et al.
Published: (2026)

Data-Driven and Theory-Guided Pseudo-Spectral Seismic Imaging Using Deep Neural Network Architectures
by: Zerafa, Christopher
Published: (2025)

Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration
by: Feng, Zhao, et al.
Published: (2025)