2020
DOI: 10.1093/gji/ggaa364
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Abstract: Summary Induced seismicity in the Groningen gas field in the Netherlands has been related to reservoir compaction caused by gas pressure depletion. In-situ measurement of compaction is therefore relevant for seismic hazard assessment. In this study we investigated the potential of passively recorded deep borehole noise data to detect temporal variations in the Groningen reservoir. Train signals recorded by an array of 10 geophones at reservoir depth were selected from the continuous noise data f… Show more

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Cited by 10 publications
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References 33 publications
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“…The studies on anthropogenic noise interferometry by Zhou and Paulssen (2020) introduced a pre‐processing step by detecting and extracting noise, such as trains, for stable time‐lapse CCs. That approach, however, requires a sophisticated detection scheme.…”
Section: Seismic Noise Interferometrymentioning
confidence: 99%
“…The studies on anthropogenic noise interferometry by Zhou and Paulssen (2020) introduced a pre‐processing step by detecting and extracting noise, such as trains, for stable time‐lapse CCs. That approach, however, requires a sophisticated detection scheme.…”
Section: Seismic Noise Interferometrymentioning
confidence: 99%
“…High sensitivity to small medium changes in passive borehole interferometry and its high degree of repeatability is useful for reservoir monitoring [4,15,23,24]. Thus, one can detect the velocity and/or interface variations in the reservoir for time-lapse studies with lower cost and less effort compared to conventional approaches [25]. With identifiable time-lapse changes in the reservoir, it can also be used to monitor induced seismicity, which in the Groningen reservoir is caused by gas production [2].…”
Section: Passive Field Datamentioning
confidence: 99%
“…The large azimuthal coverage of the network was used to test different quality parameters for passive image interferometry [16]. Moreover, seismic interferometry was applied to a string of geophones in the reservoir to measure compaction [17]. In another study, a dense surface network of stations was used to detect velocity changes in refracted waves over a one-month period [18].…”
Section: Introductionmentioning
confidence: 99%