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

2015 ◽  
Vol 120 (10) ◽  
pp. 7085-7101 ◽  
Author(s):  
Grzegorz Kwiatek ◽  
Patricia Martínez-Garzón ◽  
Georg Dresen ◽  
Marco Bohnhoff ◽  
Hiroki Sone ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
M. Staszek ◽  
Ł. Rudziński ◽  
G. Kwiatek

AbstractMultiplet analysis is based on the identification of seismic events with very similar waveforms which are used then to enhance seismological analysis e.g. by precise relocation of sources. In underground fluid injection conditions, it is a tool frequently used for imaging of subsurface fracture system. We identify over 150 repeatedly activated seismic sources within seismicity cluster induced by fluid injection in NW part of The Geysers geothermal field (California). Majority of multiple events (ME) occur along N–S oriented planar structure which we interpret as a fault plane. Remaining ME are distributed along structures interpreted as fractures, forming together a system of interconnected cracks enabling fluid migration. Temporal analysis reveals that during periods of relatively low fluid injection the proportion of ME to non-multiple events is higher than during periods of high injection. Moreover, ME which occur within the fault differ in activity rate and source properties from ME designating the fractures and non-multiple events. In this study we utilize observed differences between ME occurring within various structures and non-multiple events to describe hydraulic conditions within the reservoir. We show that spatial and temporal analysis of multiplets can be used for identification and characterization of dominant fluid migration paths.


1982 ◽  
Vol 72 (4) ◽  
pp. 1317-1327
Author(s):  
Roger P. Denlinger ◽  
Charles G. Bufe

abstract Seismicity at The Geysers appears to be induced by steam production, in which water boils to steam within a pervasively fractured reservoir subject to high levels of tectonic shear stresses and strains. The steam reservoir is composed of fractured Franciscan graywacke with a very heterogeneous, multiple permeability and porosity distribution. Permeability is controlled by the larger fracture systems of the reservoir, which act as a very permeable conduit to less permeable rock containing liquid water. The reservoir fluid remains close to the liquidus conditions during production, implying both a temperature and pressure decline in the rock matrix bounding the fracture systems as the reservoir is depleted. Reservoir earthquake focal mechanisms are nearly aligned with the regional tectonic strain field, and reservoir earthquakes are indistinguishable from tectonic earthquakes elsewhere in the region. Within the reservoir, the volume defined by the earthquakes has not changed within the resolution of the seismic network from 1975 to 1979. The log moment per earthquake also has not changed, suggesting a steady-state process of stress buildup and release. Added to the zero correlation of the fluid injection history with the earthquake activity, the above observations suggest that elevated pore pressures and fluid injection are not likely causes for The Geysers induced seismicity. Instead, all available evidence points to the association of induced seismicity with pore pressure and temperature declines. The two most likely mechanisms are either an increase in local shear stress levels with fissure deflation, or a transition from stable to unstable sliding (“stick-slip”). No other documented mechanism for induced seismicity are consistent with in situ reservoir conditions at The Geysers.


2016 ◽  
Vol 121 (10) ◽  
pp. 7432-7449 ◽  
Author(s):  
Patricia Martínez-Garzón ◽  
Grzegorz Kwiatek ◽  
Marco Bohnhoff ◽  
Georg Dresen

2020 ◽  
Vol 222 (2) ◽  
pp. 893-906
Author(s):  
Konstantinos Leptokaropoulos

SUMMARY Earthquake magnitude (size) distribution is a major component required for seismic hazard assessment and therefore, the accurate determination of its functional shape and variation is a task of utmost importance. Although often considered as stationary, the magnitude distribution at particular sites may significantly vary over time and space. In this study, the well-known Gutenberg–Richter (GR) law, which is widely assumed to describe earthquake magnitude distribution, is tested for a case study of seismicity induced by fluid injection at The Geysers (CA, USA) geothermal field. Statistical tests are developed and applied in order to characterize the magnitude distribution of a high quality catalogue comprising seismicity directly associated with two injection wells, at the north western part of The Geysers. The events size distribution variation is investigated with respect to spatial, temporal, fluid injection and magnitude cut-off criteria. A thorough spatio-temporal analysis is performed for defining seismicity Clusters demonstrating characteristic magnitude distributions which significantly differ from the ones of the nearby Clusters. The magnitude distributions of the entire seismic population as well as of the individual Clusters are tested for their complexity in terms of exponentiality, multimodal and multibump structure. Then, the Clusters identified are further processed and their characteristics are determined in connection to injection rate fluctuations. The results of the analysis clearly indicate that the entire magnitude distribution is definitely complex and non-exponential, whereas subsequent periods demonstrating significantly diverse magnitude distributions are identified. The regional seismicity population is divided into three major families, for one of which exponentiality of magnitude distribution is clearly rejected, whereas for the other two the GR law b-value is directly proportional to fluid injection. In addition, the b-values of these Families seem to be significantly magnitude dependent, a fact that is of major importance for seismic hazard assessment implementations. To conclude, it is strongly suggested that magnitude exponentiality must be tested before proceeding to any b-value calculations, particularly in anthropogenic seismicity cases where complex and time changeable processes take place.


2014 ◽  
Vol 119 (11) ◽  
pp. 8378-8396 ◽  
Author(s):  
Patricia Martínez-Garzón ◽  
Grzegorz Kwiatek ◽  
Hiroki Sone ◽  
Marco Bohnhoff ◽  
Georg Dresen ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2747
Author(s):  
Vincenzo Convertito ◽  
Hossein Ebrahimian ◽  
Ortensia Amoroso ◽  
Fatemeh Jalayer ◽  
Raffaella De Matteis ◽  
...  

Reliable seismic hazard analyses are crucial to mitigate seismic risk. When dealing with induced seismicity the standard Probabilistic Seismic Hazard Analysis (PSHA) has to be modified because of the peculiar characteristics of the induced events. In particular, the relative shallow depths, small magnitude, a correlation with field operations, and eventually non-Poisson recurrence time. In addition to the well-known problem of estimating the maximum expected magnitude, it is important to take into account how the industrial field operations affect the temporal and spatial distribution of the earthquakes. In fact, during specific stages of the project the seismicity may be hard to be modelled as a Poisson process—as usually done in the standard PSHA—and can cluster near the well or migrate toward hazardous known or—even worse—not known faults. Here we present a technique in which we modify the standard PSHA to compute time-dependent seismic hazard. The technique allows using non-Poisson models (BPT, Weibull, gamma and ETAS) whose parameters are fitted using the seismicity record during distinct stages of the field operations. As a test case, the procedure has been implemented by using data recorded at St. Gallen deep geothermal field, Switzerland, during fluid injection. The results suggest that seismic hazard analyses, using appropriate recurrence model, ground motion predictive equations, and maximum magnitude allow the expected ground-motion to be reliably predicted in the study area. The predictions can support site managers to decide how to proceed with the project avoiding adverse consequences.


2017 ◽  
Vol 212 (2) ◽  
pp. 1157-1166 ◽  
Author(s):  
Konstantinos Leptokaropoulos ◽  
Monika Staszek ◽  
Stanisław Lasocki ◽  
Patricia Martínez-Garzón ◽  
Grzegorz Kwiatek

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