2017
DOI: 10.1144/petgeo2016-050
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Hydrogen storage in a heterogeneous sandstone formation: dimensioning and induced hydraulic effects

Abstract: Large-scale energy storage in the geological subsurface (e.g. by storing hydrogen gas) may help to mitigate effects of a fluctuating energy production arising from the extensive use of renewable energy sources. The applicability of hydrogen (H 2 ) storage in a porous sandstone formation is investigated by defining a usage scenario and a subsequent numerical simulation of a storage operation at an existing anticlinal structure in the North German Basin. A facies modelling approach is use… Show more

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Cited by 90 publications
(34 citation statements)
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“…In reality, however, all formations and fault zones show spatial heterogeneity in their petrophysical parameters. A heterogeneous permeability distribution in the storage formation could result in a local increase or decrease of the formation pressure, compared to the homogenous case (Pfeiffer et al, 2017). As shown in this and the previous studies such pressure changes affect the leakage rates occurring in the fault zone.…”
Section: Discussionmentioning
confidence: 49%
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“…In reality, however, all formations and fault zones show spatial heterogeneity in their petrophysical parameters. A heterogeneous permeability distribution in the storage formation could result in a local increase or decrease of the formation pressure, compared to the homogenous case (Pfeiffer et al, 2017). As shown in this and the previous studies such pressure changes affect the leakage rates occurring in the fault zone.…”
Section: Discussionmentioning
confidence: 49%
“…In this study, a structural model of a potential storage structure was previously investigated for CO 2 (Hese, 2012) and later for hydrogen storage (Pfeiffer et al, 2017) and is created and used for the scenario simulations. At the storage site, an anticline trap was formed by halokinesis, with normal and reverse faults intersecting with the structure and providing potential leakage pathways for fluid migration (Fig.…”
Section: Geological Storage Modelmentioning
confidence: 99%
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