Issue |
E3S Web Conf.
Volume 205, 2020
2nd International Conference on Energy Geotechnics (ICEGT 2020)
|
|
---|---|---|
Article Number | 02002 | |
Number of page(s) | 5 | |
Section | CO2 Sequestration and Deep Geothermal Energy | |
DOI | https://doi.org/10.1051/e3sconf/202020502002 | |
Published online | 18 November 2020 |
Verification benchmark for a single-phase flow hydro - mechanical model comparison between COMSOL Multiphysics and DuMuX
1 Department of Applied Geology, 37073, Göttingen, Germany
2 Department of Earth Sciences, Uppsala University, 752 36 Uppsala, Sweden
3 Structural Engineering Department, University of California San Diego, 92093 San Diego, CA, U.S.A.
* Corresponding author: dejian.zhou@geo.uni-goettingen.de
Numerical modelling of hydromechanical processes in geological environments has become an invaluable tool in understanding and predicting system behaviour. However, due to the different algorithms and numerical schemes implemented in the different models, model reliability may vary considerably. Modelling of single- and multi-phase flow in porous media has been widely employed in various engineering applications such as geological disposal of nuclear waste, geological storage of carbon dioxide, high-temperature geothermal systems, or hydraulic fracturing for shale gas exploitation. Coupled hydro-mechanical (H-M) processes play a key role in the prediction of the behaviour of geological reservoirs during their development and testing operations. In this paper, we present a benchmark test on a single-phase flow problem in a hydrogeological reservoir with 5 horizontal layers of different properties. The aim is to compare two hydromechanical (H-M) models that use a vertex-centred finite-volume discretization and a finite element discretization. The first model is constructed with the free-open source simulator DuMuX, and the second with the commercial software COMSOL Multiphysics. The verification study suggests general confidence in the model reliability, but also highlights and discusses several areas of discrepancies between two models.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.