Sensitivity and Stability Analysis of Coda Quality Factors at The Geysers Geothermal Field, California

2019 ◽  
Vol 109 (3) ◽  
pp. 959-975 ◽  
Author(s):  
Aglaja Blanke ◽  
Grzegorz Kwiatek ◽  
Patricia Martínez‐Garzón ◽  
Marco Bohnhoff
Keyword(s):  
Stability Analysis ◽  
Geothermal Field ◽  
Quality Factors ◽  
Sensitivity And Stability Analysis ◽  
The Geysers

Fracture detection using P-wave and S-wave vertical seismic profiling at The Geysers

Geophysics ◽  
1988 ◽  
Vol 53 (1) ◽  
pp. 76-84 ◽  
Author(s):  
E. L. Majer ◽  
T. V. McEvilly ◽  
F. S. Eastwood ◽  
L. R. Myer
Keyword(s):  
Fractured Rock ◽  
Geothermal Field ◽  
P Wave ◽  
Velocity Variation ◽  
Fracture Detection ◽  
S Wave ◽  
Fracture Geometry ◽  
Seismic Profiling ◽  
Vertical Seismic Profiling ◽  
The Geysers

In a pilot vertical seismic profiling study, P-wave and cross‐polarized S-wave vibrators were used to investigate the potential utility of shear‐wave anisotropy measurements in characterizing a fractured rock mass. The caprock at The Geysers geothermal field was found to exhibit about an 11 percent velocity variation between SH-waves and SV-waves generated by rotating the S-wave vibrator orientation to two orthogonal polarizations for each survey level in the well. The effect is generally consistent with the equivalent anisotropy expected from the known fracture geometry.

scholarly journals Spatial and temporal multiplet analysis for identification of dominant fluid migration path at The Geysers geothermal field, California

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
M. Staszek ◽  
Ł. Rudziński ◽  
G. Kwiatek
Keyword(s):  
Temporal Analysis ◽  
Geothermal Field ◽  
Fluid Injection ◽  
Fluid Migration ◽  
Multiple Events ◽  
Spatial And Temporal Analysis ◽  
Hydraulic Conditions ◽  
The Geysers ◽  
Multiplet Analysis

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.

scholarly journals Tracking the development of seismic fracture network from The Geysers geothermal field

2018 ◽  
Vol 67 (1) ◽  
pp. 341-350 ◽  
Author(s):  
Beata Orlecka-Sikora ◽  
Szymon Cielesta ◽  
Stanisław Lasocki
Keyword(s):  
Fracture Network ◽  
Geothermal Field ◽  
The Geysers

Shear-wave splitting from local earthquakes at the Geysers Geothermal Field, California

1995 ◽  
Vol 22 (4) ◽  
pp. 501-504 ◽  
Author(s):  
John R. Evans ◽  
Bruce R. Julian ◽  
G. R. Foulger ◽  
Alwyn Ross
Keyword(s):  
Shear Wave ◽  
Shear Wave Splitting ◽  
Geothermal Field ◽  
Local Earthquakes ◽  
Wave Splitting ◽  
The Geysers

Near-surface Microearthquakes at The Geysers Geothermal Field, California

2002 ◽  
Vol 159 (1) ◽  
pp. 473-487 ◽  
Author(s):  
J.T. Rutledge ◽  
M.A. Stark ◽  
T.D. Fairbanks ◽  
T.D. Anderson
Keyword(s):  
Geothermal Field ◽  
Near Surface ◽  
The Geysers

Sensitivity and stability analysis in data envelopment analysis

2005 ◽  
Vol 56 (3) ◽  
pp. 342-345 ◽  
Author(s):  
G R Jahanshahloo ◽  
F Hosseinzadeh ◽  
N Shoja ◽  
M Sanei ◽  
G Tohidi
Keyword(s):  
Data Envelopment Analysis ◽  
Stability Analysis ◽  
Data Envelopment ◽  
Sensitivity And Stability Analysis
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