scholarly journals Passive Seismic Ambient Noise Correlation: An Example from the Ketzin Experimental CO2 Storage Site, Germany

2014 ◽  
Vol 59 ◽  
pp. 90-96 ◽  
Author(s):  
Fengjiao Zhang ◽  
Christopher Juhlin ◽  
Daniel Sopher
Geophysics ◽  
2017 ◽  
Vol 82 (3) ◽  
pp. B79-B93 ◽  
Author(s):  
Saeid Cheraghi ◽  
Donald J. White ◽  
Deyan Draganov ◽  
Gilles Bellefleur ◽  
James A. Craven ◽  
...  

Seismic reflection interferometry has recently been tested in a few resource-exploration applications. We have evaluated passive seismic interferometry results for data from the Aquistore [Formula: see text] storage site, Saskatchewan, Canada, with the objective of testing the method’s ability to image the subsurface geology and its potential for time-lapse imaging. We analyzed passive seismic data recorded along two perpendicular geophone lines for two time periods that include 23 days in June 2014 and 13 days in February 2015. Beam-forming analysis showed that a nearby power plant is the dominant source of ambient noise. We retrieved virtual shot gathers not only by correlating long noise panels (1 h) for both recording periods, but also by correlating shorter noise panels (10 s) from two days of each recording period. We applied illumination diagnosis to the noise panels from the two chosen days for each period to help suppress the surface waves. Comparisons of the common-midpoints stacked sections, resulting from the virtual shot gathers, with colocated active-source images and log-based synthetic seismograms showed that the best ambient-noise images were obtained for the longest recording periods. The application of illumination diagnosis revealed that only a small percentage of the noise panels are dominated by body waves. Thus, images formed using only this subset of noise panels failed to improve the images obtained from the 23 and 13 days of noise recording. To evaluate the passive images, we performed log-based correlations that showed moderate correlation ranging from approximately 0.5–0.65 in the two-way time range of 0.8–1.5 s. For the 13 to 23 days of noise used in our analysis, the resulting images at the reservoir depth of 3200 m or [Formula: see text] are unlikely to be suitable for time-lapse imaging at this site. This is most likely due to the limited directional illumination and dominance of surface-wave noise.


2021 ◽  
pp. 103518
Author(s):  
Mathieu Le Breton ◽  
Noélie Bontemps ◽  
Antoine Guillemot ◽  
Laurent Baillet ◽  
Éric Larose

2019 ◽  
Vol 2019 (1) ◽  
pp. 1-3
Author(s):  
Richard Lynch ◽  
Dan Hollis ◽  
John McBride ◽  
Nick Arndt ◽  
Florent Brenguier ◽  
...  

2019 ◽  
Author(s):  
Richard Lynch ◽  
Dan Hollis ◽  
John McBride ◽  
Nick Arndt ◽  
Florent Brenguier ◽  
...  

Author(s):  
Michel Campillo ◽  
Philippe Roux ◽  
Nikolai M. Shapiro

2019 ◽  
Author(s):  
Florent Brenguier ◽  
Aurélien Mordret ◽  
Richard Lynch ◽  
Roméo Courbis ◽  
Xander Campbell ◽  
...  

2019 ◽  
Author(s):  
Florent Brenguier ◽  
Aurélien Mordret ◽  
Richard Lynch ◽  
Roméo Courbis ◽  
Xander Campbell ◽  
...  

2020 ◽  
Author(s):  
Miriam Kristekova ◽  
Jozef Kristek ◽  
Peter Moczo ◽  
Peter Labak

<p>Nuclear explosions are banned by the Comprehensive Nuclear-Test-Ban Treaty (CTBT). Obviously, the CTBT needs robust and comprehensive verification tools to make sure that no nuclear explosion goes undetected. The detection of underground cavity due to nuclear explosions is a primary task for an on-site inspection (OSI) and resonance seismometry. Recently we have developed the finite-frequency-range spectral-power method that makes it possible to use seismic ambient noise recorded at the free surface above an underground cavity for localizing it. In this contribution we present results of application of the method to data recorded at a site of the Great Cavern near Felsopeteny, Hungary.</p><p>CTBTO performed several active and passive seismic measurements at the free surface above the Great Cavern in September 2019. Seismic ambient noise was recorded one week continuously at almost 50 stations with interstation distance around 50 m covering area 400 x 400 m.</p><p>The oval shaped cavern with a diameter of 28 m located 70 m below the surface was discovered within a clay mine in N-Hungary. The deep basement is composed of Triassic limestone, the cavern is in the overlying Oligocene sandstone formation. As a result of hydrothermal activity in the Pleistocene a cave formed in the limestone which may have collapsed over time. The opening of the deep part of the cave influenced the overlying sandstone formation but the collapse did not reach the surface.</p><p>We present the procedure of pre-processing and identification of a position of the cavern based on the recorded seismic ambient noise. We checked robustness of the obtained results. The results demonstrate potential of our methodology for the OSI purposes.</p>


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