Fully-Coupled Multiscale Poromechanical Simulation Relevant for Underground Gas Storage

Conference Paper (2023)
Author(s)

K. Ramesh Kumar (TU Delft - Reservoir Engineering)

Herminio Tasinafo Honório (TU Delft - Reservoir Engineering)

H. Hajibeygi (TU Delft - Reservoir Engineering)

Research Group
Reservoir Engineering
Copyright
© 2023 K. Ramesh Kumar, H. Tasinafo Honório, H. Hajibeygi
DOI related publication
https://doi.org/10.1007/978-3-031-12851-6_69
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 K. Ramesh Kumar, H. Tasinafo Honório, H. Hajibeygi
Research Group
Reservoir Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
3
Pages (from-to)
583-590
ISBN (print)
9783031128509
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Successful transition to renewable energy supply depends on the development of cost-effective large-scale energy storage technologies. Renewable energy can be converted to (or produced directly in the form of) green gases, such as hydrogen. Subsurface formations offer feasible solutions to store large-scale compressed hydrogen. These reservoirs act as seasonal storage or buffer to guarantee a reliable supply of green energy in the network. The vital ingredients that need to be considered for safe and efficient underground hydrogen storage include reliable estimations of the in-situ state of the stress, especially to avoid failure, induced seismicity and surface subsidence (or uplift). Geological formations are often highly heterogeneous over their large (km) length scales, and entail complex nonlinear rock deformation physics, especially under cyclic loading. We develop a multiscale simulation strategy to address these challenges and allow for efficient, yet accurate, simulation of nonlinear elastoplastic deformation of rocks under cyclic loading. A coarse-scale system is constructed for the given fine-scale detailed nonlinear deformation model. The multiscale method is developed algebraically to allow for convenient uncertainty quantifications and sensitivity analyses.

Files

978_3_031_12851_6_69.pdf
(pdf | 0.864 Mb)
- Embargo expired in 01-07-2023
License info not available