2021
DOI: 10.1029/2021jb021784
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Numerical Modeling of Complex Stress State in a Fault Damage Zone and Its Implication on Near‐Fault Seismic Activity

Abstract: Induced seismicity taking place in deep underground mines has been intensively studied over the past decades (

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Cited by 11 publications
(4 citation statements)
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References 145 publications
(268 reference statements)
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“…Numerous studies have characterized the fault damage zone focusing on its width and fracture distribution, as these are critical for fluid transport, naturally in the context of fault-valving effects and fault healing, but also in industrial applications like oil and gas exploration, geothermal production, or waste-water injection (Faulkner et al, 2010(Faulkner et al, , 2011Rice, 1992). Numerical simulations and field observations suggest that the formation of offfault fractures is affected by factors like fault geometry and co-seismic displacement, tectonic environment and ambient stress state (Faulkner et al, 2011;Gabriel et al, 2021;Okubo et al, 2019;Sainoki et al, 2021;Wu et al, 2019). A key property of off-fault fractures is that their density decreases with increasing distance from the fault core, typically following a power-law scaling that depends on long-term stress evolution, rock type, and fault maturity (Sainoki et al, 2021).…”
Section: Fracture Network Constructionmentioning
confidence: 99%
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“…Numerous studies have characterized the fault damage zone focusing on its width and fracture distribution, as these are critical for fluid transport, naturally in the context of fault-valving effects and fault healing, but also in industrial applications like oil and gas exploration, geothermal production, or waste-water injection (Faulkner et al, 2010(Faulkner et al, , 2011Rice, 1992). Numerical simulations and field observations suggest that the formation of offfault fractures is affected by factors like fault geometry and co-seismic displacement, tectonic environment and ambient stress state (Faulkner et al, 2011;Gabriel et al, 2021;Okubo et al, 2019;Sainoki et al, 2021;Wu et al, 2019). A key property of off-fault fractures is that their density decreases with increasing distance from the fault core, typically following a power-law scaling that depends on long-term stress evolution, rock type, and fault maturity (Sainoki et al, 2021).…”
Section: Fracture Network Constructionmentioning
confidence: 99%
“…Numerical simulations and field observations suggest that the formation of off‐fault fractures is affected by factors like fault geometry and co‐seismic displacement, tectonic environment and ambient stress state (Faulkner et al., 2011; Gabriel et al., 2021; Okubo et al., 2019; Sainoki et al., 2021; Wu et al., 2019). A key property of off‐fault fractures is that their density decreases with increasing distance from the fault core, typically following a power‐law scaling that depends on long‐term stress evolution, rock type, and fault maturity (Sainoki et al., 2021).…”
Section: Model Setupmentioning
confidence: 99%
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“…Numerous methods and efforts have been made to acquire a comprehensive understanding of the rock burst mechanism, including physical and similar simulation experiments [ 15 , 16 ], numerical modeling [ 17 , 18 ], laboratory tests [ 19 , 20 ], and field investigation [ 21 , 22 ], etc. Therein, numerical modeling also sheds light on the application of assessing rock burst risk [ 8 , 17 , 23 , 24 ]. For example, the stress, displacement, and energy evolution characteristics along the rock burst process can be investigated in detail.…”
Section: Introductionmentioning
confidence: 99%