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Communications Earth & Environment
Article . 2023 . Peer-reviewed
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Steam caps in geothermal reservoirs can be monitored using seismic noise interferometry

Authors: Pilar Sánchez-Pastor; Sin-Mei Wu; Ketil Hokstad; Bjarni Kristjánsson; Vincent Drouin; Cécile Ducrocq; Gunnar Gunnarsson; +3 Authors

Steam caps in geothermal reservoirs can be monitored using seismic noise interferometry

Abstract

AbstractHarvesting geothermal energy often leads to a pressure drop in reservoirs, decreasing their profitability and promoting the formation of steam caps. While steam caps are valuable energy resources, they also alter the reservoir thermodynamics. Accurately measuring the steam fraction in reservoirs is essential for both operational and economic perspectives. However, steam content estimations are very limited both in space and time since current methods rely on direct measurements within production wells. Besides, these estimations normally present large uncertainties. Here, we present a pioneering method for indirectly sampling the steam content in the subsurface using the ever-present seismic background noise. We observe a consistent annual velocity drop in the Hengill geothermal field (Iceland) and establish a correlation between the velocity drop and steam buildup using in-situ borehole data. This application opens new avenues to track the evolution of any gas reservoir in the crust with a surface-based and cost-effective method.

Countries
United States, Switzerland, Spain
Keywords

550, Seismic noise, Hydrogeology, Geothermal energy, Article, Affordable and Clean Energy, GE1-350, Geothermal system, uncertainty analysis, Seismology, QE1-996.5, Geology, Estimation methods, FOS: Earth and related environmental sciences, Correlation, Environmental sciences, Earth sciences, Interferometry, Geophysics, Geophysics; Hydrogeology; Seismology, Earth Sciences, Seismic data

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average