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Biomethane is considered one of the most promising energy vectors to substitute fossil fuels during the global energy transition. Its production is steadily increasing, and high storage volumes are needed to cover seasonal needs. Existing underground gas storage (UGS) aquifers, which have been used for natural gas storage, are excellent candidates. Underground aquifers are known for being anoxic systems. However, dioxygen (O
2
) can be injected as an impurity with biomethane into these anoxic environments. O
2
limitations in the underground vary worldwide; however projects are conducted to optimize these limitations. It has been shown that O
2
presence can affect the aquifer's ecosystems and induce mineral reactions. Thus, a multidisciplinary study was conducted in which the
in situ
conditions were simulated in a high-pressure reactor. Water containing autochthonous microorganisms and reservoir rock were used as the aqueous and solid phases, respectively. Initially, the gas phase was composed of methane, 1% CO
2
, benzene and toluene under 60 bar and 36 °C conditions. Sulfate was depleted from the aqueous phase due to sulfate-reducing microorganismes. After 50 days, 100 ppm O
2
was injected into the gas phase. Sulfate reducers were inactivated; however, other taxonomic groups became dominant, such as members of the class Acidobacteriae and the families
Desulfitobacteriaceae
and
Kineosporiaceae
. Hydrocarbon biodegradation was demonstrated by a benzene decrease in the aqueous phase, which was barely affected by O
2
injection. However microbial analyses suggested a shift in the ecosystem to adapt to this new 'low aerobic' conditions. The findings of this study can help for better understanding of any other process including O
2
as an impurity in UGS such as CCS and CAES.
The massive arrival of biomethane in geological energy storage will lead to a co-injection of O
2
used during the gas desulfurization process. O
2
induces changes in the microbial community and interactions with the stored gas and formation water.
Sprache
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Identifikatoren
eISSN: 2754-7000
DOI: 10.1039/d3va00086a
Titel-ID: cdi_rsc_primary_d3va00086a
Format
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