2017
DOI: 10.1002/2017jb013958
|View full text |Cite
|
Sign up to set email alerts
|

Seismological evidence of fault weakening due to erosion by fluids from observations of intraplate earthquake swarms

Abstract: The occurrence and specific properties of earthquake swarms in geothermal areas are usually attributed to a highly fractured rock and/or heterogeneous stress within the rock mass being triggered by magmatic or hydrothermal fluid intrusion. The increase of fluid pressure destabilizes fractures and causes their opening and subsequent shear‐tensile rupture. The spreading and evolution of the seismic activity are controlled by fluid flow due to diffusion in a permeable rock (fluid‐diffusion model) and/or by redist… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
35
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 38 publications
(37 citation statements)
references
References 107 publications
(142 reference statements)
2
35
0
Order By: Relevance
“…However, large normal faulting events are absent in the catalogs of focal mechanisms of past seismicity in the area (Cardwell et al, 1980;Ekström et al, 2012), although with our waveform similarity study we could find some small-magnitude events (i.e., M l < 4) before 2015 that are compatible with a normal faulting style. Finally, earthquakes triggered by a high pore-pressure front are expected to have a minor or negligible non-DC component in their MT solutions (Vavryčuk and Hrubcová, 2017). Therefore, within the porepressure diffusion model it is difficult to explain the occurrence of the large (>40%) non-DC component we observe in all our MT solutions.…”
Section: Discussion Of the Most Physically Sound Source Of The Seismimentioning
confidence: 80%
See 1 more Smart Citation
“…However, large normal faulting events are absent in the catalogs of focal mechanisms of past seismicity in the area (Cardwell et al, 1980;Ekström et al, 2012), although with our waveform similarity study we could find some small-magnitude events (i.e., M l < 4) before 2015 that are compatible with a normal faulting style. Finally, earthquakes triggered by a high pore-pressure front are expected to have a minor or negligible non-DC component in their MT solutions (Vavryčuk and Hrubcová, 2017). Therefore, within the porepressure diffusion model it is difficult to explain the occurrence of the large (>40%) non-DC component we observe in all our MT solutions.…”
Section: Discussion Of the Most Physically Sound Source Of The Seismimentioning
confidence: 80%
“…Usually the source mechanics of earthquakes triggered by a pore-pressure increase are well-described by DC mechanisms compatible with the regional tectonic stress regime (Simpson et al, 1988;Valoroso et al, 2009;Stabile et al, 2014). Non-DC components are generally very small or negligible (Vavryčuk and Hrubcová, 2017).…”
Section: Tectonic Hypothesismentioning
confidence: 99%
“…Fluid‐rich geothermal regions are usually characterized by high heat flow with elevated temperatures and with mixed brittle‐ductile failures manifested by the occurrence of a swarm‐like seismicity (Ben‐Zion & Lyakhovsky, ; Zaliapin & Ben‐Zion, ). Accordingly, a long‐term erosion of faults in West Bohemia by fluids caused probably their weakness with absence of strong asperities and produced repeating occurrence of earthquake swarms as documented by Vavryčuk and Hrubcová () by analysis of non‐DC components of seismic moment tensors. However, an interaction of the fault tips altered physical conditions in the focal zone.…”
Section: Discussionmentioning
confidence: 94%
“…The Young's modulus and the Poisson's ratio needed in the modeling are 8 × 10 4 MPa and 0.22. The Poisson's ratio of 0.22 corresponds to a rather low v P / v S ratio of 1.67 observed in the area and typical for geothermal regions (Vavryčuk & Hrubcová, ).…”
Section: Modeling Of Fault Interaction In the 2014 Sequencementioning
confidence: 88%
See 1 more Smart Citation