Noise-based monitoring and imaging of aseismic transient deformation induced by the 2006 Basel reservoir stimulation

Hillers, Gregor; Husen, Stephan; Obermann, Anne; Planès, Thomas; Larose, Éric; Campillo, Míchel

doi:10.1190/geo2014-0455.1

Cited by 68 publications

(79 citation statements)

References 99 publications

(158 reference statements)

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“…Ambient noise studies do not require an active source or repeating earthquakes and have been successfully applied to measure changes in seismic velocity in a range of different environments, such as volcanoes Donaldson et al, 2017;Sánchez-Pastor et al, 2018;Sens-Schönfelder & Wegler, 2006), landslides (Mainsant et al, 2012), underground mines , geothermal reservoirs (Hillers et al, 2015;Obermann et al, 2015), active faults zones , earthen dams (Olivier et al, 2017;Planès et al, 2015), and other environments. Ambient noise studies do not require an active source or repeating earthquakes and have been successfully applied to measure changes in seismic velocity in a range of different environments, such as volcanoes Donaldson et al, 2017;Sánchez-Pastor et al, 2018;Sens-Schönfelder & Wegler, 2006), landslides (Mainsant et al, 2012), underground mines , geothermal reservoirs (Hillers et al, 2015;Obermann et al, 2015), active faults zones , earthen dams (Olivier et al, 2017;Planès et al, 2015), and other environments.…”

Section: Methodsmentioning

confidence: 99%

Decrease in Seismic Velocity Observed Prior to the 2018 Eruption of Kīlauea Volcano With Ambient Seismic Noise Interferometry

Olivier

Brenguier

Carey

et al. 2019

Geophysical Research Letters

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The 2018 Kīlauea eruption was a complex event that included deformation and eruption at the summit and along the East Rift Zone. We use ambient seismic noise interferometry to measure time‐lapse changes in seismic velocity of the volcanic edifice prior to the lower East Rift Zone eruption. Our results show that seismic velocities increase in relation to gradual inflation of the edifice between 1 March and 20 April. In the 10 days prior to the 3rd of May eruption onset, a rapid seismic velocity decrease occurs even though the summit is still inflating. We confirm that intereruptive velocity change is correlated with surface deformation, while the velocity decrease prior to eruption is likely due to accumulating damage induced by the pressure exerted by the magma reservoir on the edifice. The accumulating damage and subsequent decrease in bulk edifice strength may have facilitated increased transport of magma from the summit reservoir to the Middle East Rift Zone.

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Section: Methodsmentioning

confidence: 99%

Decrease in Seismic Velocity Observed Prior to the 2018 Eruption of Kīlauea Volcano With Ambient Seismic Noise Interferometry

Olivier

Brenguier

Carey

et al. 2019

Geophysical Research Letters

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“…Thus, this experiment enables monitoring in situ aseismic behavior of faults developed in shales. Moreover, seismic velocities are sensitive to aseismic deformation, as observed during slow slip events [Rivet et al, 2011[Rivet et al, , 2014 and reservoir monitoring [Calò et al, 2011;Fiore et al, 2014;Hillers et al, 2015]. Fluid pressure, flow rate, deformation, and seismic data were continuously recorded from several 20 m long boreholes drilled from the tunnel toward the fault zone.…”

Section: Introductionmentioning

confidence: 99%

Seismic velocity changes associated with aseismic deformations of a fault stimulated by fluid injection

Rivet

Barros

Guglielmi

et al. 2016

Geophysical Research Letters

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Fluid pressure plays an important role in the stability of tectonic faults. However, the in situ mechanical response of faults to fluid pressure variations is still poorly known. To address this question, we performed a fluid injection experiment in a fault zone in shales while monitoring fault movements at the injection source and seismic velocity variations from a near‐distance (<10 m) monitoring network. We measured and located the P and S wave velocity perturbations in and around the fault using repetitive active sources. We observed that seismic velocity perturbations dramatically increase above 1.5 MPa of injection pressure. This is consistent with an increase of fluid flow associated with an aseismic dilatant shearing of the fault as shown by numerical modeling. We find that seismic velocity changes are sensitive to both fault opening by fluid invasion and effective stress variations and can be an efficient measurement for monitoring fluid‐driven aseismic deformations of faults.

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“…Outside the context of hydrocarbon reservoir monitoring, time-lapse velocity changes of 0.01-1.0 % over several weeks to years have been observed in relation to volcanic activity (Brenguier et al, 2008b;Obermann et al, 2013), large earthquakes (Brenguier et al, 2008a;Obermann et al, 2014), seasonal variations of the groundwater table (Meier et al, 2010), and the stimulation of geothermal reservoirs (Hillers et al, 2015;Obermann et al, 2015).…”

Section: Comparison To Velocity Changes Observed In Previous Studiesmentioning

confidence: 99%

“…Brenguier et al, 2008b;Meier et al, 2010;Hillers et al, 2015). Brenguier et al, 2008b;Meier et al, 2010;Hillers et al, 2015).…”

Section: Velocity Changes Deduced From Noise Correlation Codaunclassified

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Passive seismic monitoring with nonstationary noise sources

et al. 2017

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Heterogeneous, non-stationary noise sources can cause traveltime errors in noise-based seismic monitoring. The effect worsens with increasing temporal resolution. This may lead to costly false alarms in response to safety concerns and limit our confidence in the results when these systems are used for quasi real-time monitoring of subsurface changes. We therefore develop a new method to quantify and correct these traveltime errors to more accurately monitor subsurface conditions at daily or even hourly timescales. This is based on the inversion of noise correlation asymmetries for the time-dependent distribution of noise sources. The source model is then used to simulate time-dependent ambient noise correlations. The comparison to correlations computed for homogeneous noise sources yields 1 Downloaded 04/23/17 to 132.239.1.231. Redistribution subject to SEG license or copyright; see Terms of Use at http://library.seg.org/ traveltime errors that translate into spurious changes of the subsurface. The application of our method to data acquired at Statoil's SWIM array, a permanent seismic installation at the Oseberg field, demonstrates that fluctuations in the noise source distribution may induce apparent velocity changes of 0.25 % within one day. Such biases thereby likely mask realistic subsurface variations expected on these timescales. These errors are systematic, dependent primarily on the noise source location and strength, and not on inter-station distance. Our method can then be used to correct for source-induced traveltime errors by subtracting these quantified biases in either data or model space. It can furthermore establish a minimum threshold for which we may reliably attribute traveltime changes to actual subsurface changes, should we not correct for these errors. In addition to the aforementioned real data scenario, we apply our method to a synthetic case for a daily passive monitoring overburden feasibility study. Both synthetics and field experiments validate the method's theory and application.2 Downloaded 04/23/17 to 132.239.1.231. Redistribution subject to SEG license or copyright; see Terms of Use at http://library.seg.org/ source distribution. Finally, instead of blindly performing waveform inversion with these biased traveltimes, we formulate how to remove these errors so that our velocities are unaffected by noise source non-stationarity. Preferably, this is done in the data space before proceeding to the tomography. We now discuss these steps in further detail.The SWIM array, shown in Figure 1, consists of 172 four-component receivers (MEMS accelerometer and hydrophone) linked through a single ocean-bottom cable. The configuration lies along the ocean floor, roughly 108 m below mean sea level, about 150 m south of the Oseberg C platform. Its purpose is to monitor cuttings injected into the overburden.Receiver spacing is ∼ 50 m for receivers on the outside boundaries of the array and reduces to ∼ 25 m for receivers in its inner portion. The spread of the array's outer right-side is around 1.74...

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Noise-based monitoring and imaging of aseismic transient deformation induced by the 2006 Basel reservoir stimulation

Cited by 68 publications

References 99 publications

Decrease in Seismic Velocity Observed Prior to the 2018 Eruption of Kīlauea Volcano With Ambient Seismic Noise Interferometry

Decrease in Seismic Velocity Observed Prior to the 2018 Eruption of Kīlauea Volcano With Ambient Seismic Noise Interferometry

Seismic velocity changes associated with aseismic deformations of a fault stimulated by fluid injection

Passive seismic monitoring with nonstationary noise sources

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