Project description
The project is the the extension of a previous project PN 5-2 on the adaptive coupling of full-scale and vertical-equilibrium models for two-phase immiscible flow in porous media.
The main novelties are 1) the set-up of a full implicit scheme to overcome the limitations of the current segregated approach; 2) the use of machine learning techniques to speedup some scale-bridging computations and 3) the use of Bayesian framework to attempt uncertainty quantification. The project looks sound and timely. The availability of a robust full-implicit framework for this type of adaptive technique represents a forward step with respect to the current state of the art.
The goal of this project is a fully-implicit hybrid model with local dynamic model adaptivity employing machine-learned scale-bridging relations for the description of gas-storage scenarios. The hybrid multi-scale model couples a full-dimensional fine-scale model with a vertical-equilibrium coarse-scale model.
Project information
| Project title | Fully-implicit local dynamic model adaptivity with machine-learned scale bridging |
| Project leaders | Bernd Flemisch (Ingo Steinwart) |
| Project staff | Ivan Buntic, doctoral researcher |
| Project duration | September 2023 - December 2025 |
| Project number | PN 5-2 (II) |
- Preceding project 5-2
Data-driven optimisation algorithms for local dynamic model adaptivity
Publications PN 5-2 and PN 5-2 (II)
2025
- E. Vahabzadeh, I. Buntic, F. Nazari, B. Flemisch, R. Helmig, and V. Niasar, “Applicability of the Vertical Equilibrium model to underground hydrogen injection and withdrawal,” International Journal of Hydrogen Energy, vol. 106, pp. 790–805, 2025, doi: https://doi.org/10.1016/j.ijhydene.2025.01.201.
2024
- M. Boon, I. Buntic, K. Ahmed, N. Dopffel, C. Peters, and H. Hajibeygi, “Microbial induced wettability alteration with implications for Underground Hydrogen Storage,” Scientific Reports, vol. 14, Art. no. 1, 2024, doi: 10.1038/s41598-024-58951-6.
2022
- B. Becker, B. Guo, I. Buntic, B. Flemisch, and R. Helmig, “An adaptive hybrid vertical equilibrium/full dimensional model for compositional multiphase flow,” Water Resources Research, p. e2021WR030990, 2022, doi: 10.1029/2021WR030990.
- J. Eller, T. Sauerborn, B. Becker, I. Buntic, J. Gross, and R. Helmig, “Modeling Subsurface Hydrogen Storage With Transport Properties From Entropy Scaling Using the PC‐SAFT Equation of State,” Water Resources Research, vol. 58, Art. no. 4, 2022, doi: 10.1029/2021wr030885.