Ground‐Motion Prediction Equations for The Geysers Geothermal Area based on Induced Seismicity Records

Sharma, Nitin; Convertito, Vincenzo; Maercklin, N.; Zollo, Aldo

doi:10.1785/0120120138

Cited by 21 publications

(26 citation statements)

References 27 publications

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“…We found very good agreement between seismic moments estimated exclusively from P and S wave phases with the relation

M_{W}^{s} = 1.03 M_{W}^{p} + 0.02

. Also, the relation between duration magnitude M D and moment magnitude M W for the analyzed cluster using S wave data, M W = 0.88 M D + 0.55, was found to be very similar to that reported by other authors for the whole field [ Sharma et al , ; Edwards and Douglas , ].…”

Section: Resultssupporting

confidence: 89%

“…The SRGRP project resulted in approximately tripling the injection rates in the NW part of the field along with an increased level of induced seismicity throughout the entire field raising concerns of potential environmental and socio‐economic impacts on local communities [ Majer and Peterson , ; Rutqvist and Oldenburg , ]. In addition, the characteristics of seismicity varied between NW and SE parts of the field [ Beall and Wright , ; Beall et al , ] in that higher seismic activity and large events with M > 3.0 are observed in the NW part of The Geysers [ Sharma et al , ].…”

Section: Introductionmentioning

confidence: 99%

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Effects of long‐term fluid injection on induced seismicity parameters and maximum magnitude in northwestern part of The Geysers geothermal field

et al. 2015

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The long‐term temporal and spatial changes in statistical, source, and stress characteristics of one cluster of induced seismicity recorded at The Geysers geothermal field (U.S.) are analyzed in relation to the field operations, fluid migration, and constraints on the maximum likely magnitude. Two injection wells, Prati‐9 and Prati‐29, located in the northwestern part of the field and their associated seismicity composed of 1776 events recorded throughout a 7 year period were analyzed. The seismicity catalog was relocated, and the source characteristics including focal mechanisms and static source parameters were refined using first‐motion polarity, spectral fitting, and mesh spectral ratio analysis techniques. The source characteristics together with statistical parameters (b value) and cluster dynamics were used to investigate and understand the details of fluid migration scheme in the vicinity of injection wells. The observed temporal, spatial, and source characteristics were clearly attributed to fluid injection and fluid migration toward greater depths, involving increasing pore pressure in the reservoir. The seasonal changes of injection rates were found to directly impact the shape and spatial extent of the seismic cloud. A tendency of larger seismic events to occur closer to injection wells and a correlation between the spatial extent of the seismic cloud and source sizes of the largest events was observed suggesting geometrical constraints on the maximum likely magnitude and its correlation to the average injection rate and volume of fluids present in the reservoir.

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“…We found very good agreement between seismic moments estimated exclusively from P and S wave phases with the relation

M_{W}^{s} = 1.03 M_{W}^{p} + 0.02

Section: Resultssupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Effects of long‐term fluid injection on induced seismicity parameters and maximum magnitude in northwestern part of The Geysers geothermal field

et al. 2015

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“…This fact gives further weight to our argument that application-specific GMPEs must be developed for induced seismicity. Sharma et al (2013), following earlier work by Convertito et al (2012) for PGA, recognized the need for application-specific GMPEs and derived predictive equations for PGA, PGV, and SA for induced earthquakes in The Geysers geothermal field in California. The equation is a function of magnitude and hypocentral distance (R hyp ), with a stationspecific correction for site response.…”

Section: Existing Gmpes For Induced Seismicitymentioning

confidence: 94%

Developing an Application‐Specific Ground‐Motion Model for Induced Seismicity

Bommer¹,

Dost²,

Edwards³

et al. 2015

Bulletin of the Seismological Society of America

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A key element of quantifying both the hazard and risk due to induced earthquakes is a suite of appropriate ground-motion prediction equations (GMPEs) that encompass the possible shaking levels due to such events. Induced earthquakes are likely to be of smaller magnitude and shallower focal depth than the tectonic earthquakes for which most GMPEs are derived. Furthermore, whereas GMPEs for moderate-to-large magnitude earthquakes are usually derived to be transportable to different locations and applications, taking advantage of the limited regional dependence observed for such events, the characteristics of induced earthquakes warrant the development of application-specific models. A preliminary ground-motion model for induced seismicity in the Groningen gas field in The Netherlands is presented as an illustration of a possible approach to the development of these equations. The GMPE is calibrated to local recordings of small-magnitude events and captures the epistemic uncertainty in the extrapolation to larger magnitude considered in the assessment of the resulting hazard and risk.

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“…Due do public concern, induced seismicity is becoming an issue in almost every subsurface technology: from hydrocarbon exploitation (Dost and Haak, 2007;Suckale, 2010) and hydraulic fracturing (Davies et al, 2013) to Carbon Capture and Storage (Rutqvist, 2012;Zoback and Gorelick, 2012), through Enhanced Geothermal Systems (Majer et al, 2007;Sharma et al, 2013), waste-water management (Baisch and Harjes, 2003;Ake et al, 2005), reservoir impoundment (Stabile et al, 2014), nuclear underground explosions (Engdahl, 1972) and mining (McGarr, 1976).…”

Section: Introductionmentioning

confidence: 99%

Faults strengthening and seismicity induced by geothermal exploitation on a spreading volcano, Mt. Amiata, Italia

Mazzoldi

Borgia²,

Ripepe

et al. 2015

Journal of Volcanology and Geothermal Research

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Ground‐Motion Prediction Equations for The Geysers Geothermal Area based on Induced Seismicity Records

Cited by 21 publications

References 27 publications

Effects of long‐term fluid injection on induced seismicity parameters and maximum magnitude in northwestern part of The Geysers geothermal field

Effects of long‐term fluid injection on induced seismicity parameters and maximum magnitude in northwestern part of The Geysers geothermal field

Developing an Application‐Specific Ground‐Motion Model for Induced Seismicity

Faults strengthening and seismicity induced by geothermal exploitation on a spreading volcano, Mt. Amiata, Italia

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