Seasonal variations of seismic velocities in the San Jacinto fault area observed with ambient seismic noise

Hillers, Gregor; Ben‐Zion, Yehuda; Campillo, Míchel; Zigone, Dimitri

doi:10.1093/gji/ggv151

Cited by 88 publications

(127 citation statements)

References 74 publications

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“…A seasonal variation in the 0.1-to 0.5-Hz band shown in Figs. 4c and 5c might be primarily due to time-dependent noise source distribution (e.g., Hadziioannou et al 2011;Zhan et al 2013;Hillers et al 2015). Additionally, the uncertainties in the majority of dv/v measurements on a 5-day stack exceed 0.1 %, which could introduce bias into the estimate of the longterm velocity change.…”

Section: Discussionmentioning

confidence: 99%

“…Another source of seasonal velocity variation may be thermoelastic strain changes (Hillers et al 2015). Tsai (2011) considered thermoelastic, poroelastic, and elastic hydrological load models to explain the coherence of seasonal variation between vertical deformation and seismic velocity change.…”

Section: Discussionmentioning

confidence: 99%

“…It should be noted, however, that the seismic velocity was not correlated with vertical deformation in January-June in 2013, which indicates that there might be other underlying process of the long-term velocity variation. Groundwater measurement is a key observation to access the hydrological load model in the seismogenic crust (Sens-Schönfelder and Wegler 2006;Hillers et al 2015;Rivet et al 2015). However, continuous hydrological (groundwater and precipitation) data were not available at the LVC.…”

Section: Discussionmentioning

confidence: 99%

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Response of hydrothermal system to stress transients at Lassen Volcanic Center, California, inferred from seismic interferometry with ambient noise

Taira

Brenguier

2016

Earth Planets Space

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Abstract:Time-lapse monitoring of seismic velocity at volcanic areas can provide unique insight into the property of hydrothermal and magmatic fluids and their temporal variability. We established a quasi real-time velocity monitoring system by using seismic interferometry with ambient noise to explore the temporal evolution of velocity in the Lassen Volcanic Center, Northern California. Our monitoring system finds temporal variability of seismic velocity in response to stress changes imparted by an earthquake and by seasonal environmental changes. Dynamic stress changes from a magnitude 5.7 local earthquake induced a 0.1 % velocity reduction at a depth of about 1 km. The seismic velocity susceptibility defined as ratio of seismic velocity change to dynamic stress change is estimated to be about 0.006 MPa −1 , which suggests the Lassen hydrothermal system is marked by high-pressurized hydrothermal fluid. By combining geodetic measurements, our observation shows that the long-term seismic velocity fluctuation closely tracks snowinduced vertical deformation without time delay, which is most consistent with an hydrological load model (either elastic or poroelastic response) in which surface loading drives hydrothermal fluid diffusion that leads to an increase of opening of cracks and subsequently reductions of seismic velocity. We infer that heated-hydrothermal fluid in a vapor-dominated zone at a depth of 2-4 km range is responsible for the long-term variation in seismic velocity

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Response of hydrothermal system to stress transients at Lassen Volcanic Center, California, inferred from seismic interferometry with ambient noise

Taira

Brenguier

2016

Earth Planets Space

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“…Here, we focus on monitoring methods to track systematic changes in the crosscorrelation coda wavefield that are governed by variations in the elastic or scattering properties of the heterogeneous medium. In seismological contexts, these principles have been applied to resolve relative velocity changes between Oð0.01%Þ and Oð1%Þ associated with volcanic activity (Brenguier et al, 2008b;Obermann et al, 2013a), rapid (Wegler and Sens-Schönfelder, 2007;Brenguier et al, 2008a;Wegler et al, 2009;Hobiger et al, 2012;Froment et al, 2013) and slow (Rivet et al, 2011) slip on earthquake faults, water content in the shallow crust (Sens-Schönfelder and Wegler, 2006a;Meier et al, 2010;Froment et al, 2013;Hillers et al, 2014), thermal processes (Sens-Schönfelder and Richter et al, 2014;Hillers et al, 2015a), and tidal-induced deformation (Hillers et al, 2015b). Scattered wavefield sensitivity allows imaging of static and transient variations in the properties of structural and mechanical media (Larose et al, 2010;Rossetto et al, 2011;Obermann et al, 2013aObermann et al, , 2014Planès et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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

Hillers

Husen²,

Obermann

et al. 2015

GEOPHYSICS

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We have analyzed the time-dependent properties of the ambient seismic wavefield between 0.1 and 8 Hz to detect, resolve, monitor, and image the deformation induced by the water injection associated with the stimulation of the 2006 Deep Heat Mining Project in the city of Basel, Switzerland. The application of passive methods allowed the detection of an aseismic transient of approximately 35 days' duration that began with the onset of the reservoir stimulation. Peak deformation was reached some 15 days after the bleed-off and after the induced seismicity ceased. We resolved a significant increase in seismic velocities and a simultaneous decorrelation of the noise correlation coda waveforms. The wavefield properties implied that the material response was monitored mainly in the sedimentary layer (<2.5 km) above the stimulated volume that was approximately 4.5 km deep. We inverted the velocity-change and decorrelation data to estimate the spatial distribution of the medium changes. The resulting images showed that the strong velocity variations and medium perturbations were generally colocated with the lateral distribution of the induced seismicity. Positive velocity changes and damage around the injection site indicated subsidence, settling, and compaction of the material overlying the stimulated volume. Our results demonstrate that noise-based analysis tools can provide important observables that are complementary to results obtained with standard microseismicity tools. Passive monitoring and imaging have the potential to mature into routinely applied observation techniques that support reservoir management in a variety of geotechnical contexts, such as for mining, fluid injection, hydraulic fracturing, nuclear waste management, and CO 2 storage.

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“…These approaches have two particularly attractive attributes: 1) they use surface waves as primary data and thus have great sensitivity to the shear modulus of the subsurface media, and 2) their intrinsic repeatability enables time-lapse measurements of evolving systems (e.g. Mainsant et al, 2012;Mordret et al, 2014;Hillers et al, 2015). Tomographic images can be obtained from an array of sensors recording the ambient noise field, with the resolution of the images depending primarily on the density of the recording array.…”

Section: Model Development and Validationmentioning

confidence: 99%

The development of ocean test beds for ocean technology adaptation and integration into the emerging U.S. offshore wind energy industry

Kirincich¹,

Borkland²,

Hines³

et al. 2018

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The landscape of applied ocean technology is rapidly changing with forces of innovation emerging from basic ocean science research methodologies as well as onshore high tech sectors. There is a critical need for ocean-related industries to continue to modernize via the adoption of state-of-the-art practices to advance rapidly changing industry objectives, maintain competitiveness, and be careful stewards of the ocean as a common resource. These objectives are of national importance for the dynamic ocean energy sector, and a mechanism by which new and promising technologies can be validated and adopted in an open and benchmarked process is needed. POWER-US seeks to develop Ocean Test Beds as research and development infrastructure capable of driving innovative observations, modeling, and monitoring of the physical, biological, and use characteristics present in offshore wind energy installation areas.The Industry Need: Throughout the second half of the last century, ocean technology advancements ushered in new ocean-related industries and ocean advancements that changed the course of history. Remote and deep water oil and gas exploration and extraction methods, bottom survey methods, global shipping route optimization, ocean storm and weather forecasting, etc. have enabled substantial economic gains. That much of ocean science and engineering today continues to rely on technologies developed in the last century is a testament to the robust nature of our previous development efforts. However, more recent technological innovations in environmental sensing, computing, and automation offer the potential to further revolutionize both existing ocean-related industries such as: energy, mining, transportation and shipping, global trade, adaptation and resiliency, defense and security, salvage, and ocean exploration as well as newly emerging ocean uses.One clear example of the need for rapid adoption of new technology is in the area of offshore wind energy production. As a new energy industry in the U.S., offshore wind shows tremendous potential as a component of the nation's energy future portfolio. However, solid scientific data on the design characteristics as well as consensus on the interactions of a wind farm with the marine environment are critical to reduce risk, advance public acceptance, and evolve the regulatory process. Coupling this with the unique conditions present over the U.S. outer continental shelf in areas slated for development, an acute need exists for creating the physical and organizational infrastructure to rapidly move innovations in site characterization through systematic validation and into industry best practices and/or regulatory requirements. This process requires an open and evolving infrastructure that allows benchmarked data sets to test and evaluate sensors, improved systems modeling, and analysis by neutral, disinterested parties. POWER-US White Paper May 2018Ocean Test Beds 2In the current era, a program of research through which ocean technology can be applied, vetted, and validated ...

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Seasonal variations of seismic velocities in the San Jacinto fault area observed with ambient seismic noise

Cited by 88 publications

References 74 publications

Response of hydrothermal system to stress transients at Lassen Volcanic Center, California, inferred from seismic interferometry with ambient noise

Response of hydrothermal system to stress transients at Lassen Volcanic Center, California, inferred from seismic interferometry with ambient noise

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

The development of ocean test beds for ocean technology adaptation and integration into the emerging U.S. offshore wind energy industry

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