An End-to-End Differentiable, Graph Neural Network-Embedded Pore Network Model for Permeability Prediction
Accurate prediction of permeability in porous media is essential for modeling subsurface flow. While pure data-driven models offer computational efficiency, they often lack generalization across scales and do not incorporate explicit physical constrai
Authors
- Heng Xiao (ORCID: https://orcid.org/0000-0002-3323-4028)
- Qingqi Zhao (ORCID: https://orcid.org/0009-0000-1638-6364)
Institutions
- University of Stuttgart (DE)
Publication Details
- Published
- 2025-09-01
- DOI
- https://doi.org/10.22541/essoar.175674593.36296351/v1
- Primary Topic
- Enhanced Oil Recovery Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft
- Singapore Institute of Manufacturing Technology