Fully-Coupled Multiscale Poromechanical Simulation Relevant for Underground Gas Storage

Conference Paper (2023)
Author(s)

Kishan Ramesh Kumar (TU Delft - Reservoir Engineering)

Herminio T. Honorio (TU Delft - Reservoir Engineering)

Hadi Hajibeygi (TU Delft - Reservoir Engineering)

DOI related publication
https://doi.org/10.1007/978-3-031-12851-6_69 Final published version
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Publication Year
2023
Language
English
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.
Volume number
3
Pages (from-to)
583-590
Publisher
Springer
ISBN (print)
9783031128509
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Institutional Repository
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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.

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