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doi:10.1111/gji.2009.179.issue-3

Cited by 17 publications

(5 citation statements)

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“…The Mae Lao earthquake's stress drop is then approximately consistent with that of interplate regions (Stein and Wysession 2003). In comparison with other destructive earthquakes in the same magnitude range, the computed stress drop is lower than that of the 2009 L'Aquila (M W 6.3) and 2011 Christchurch (M W 6.2) earthquakes, with computed stress drop of 92 bars and 140 bars, respectively (Bindi et al 2009, Elliot et al 2012). These two events in Italy and New Zealand produced severe peak ground accelerations (PGAs) in the epicentral region of roughly 0.8 g and 1.4 g, respectively (Bindi et al 2009, Bradley et al 2014, resulting in many casualties and considerable structural damage.…”

Section: Seismotectonic Setting and The 5 May 2014 Earthquakementioning

confidence: 68%

5 May 2014 M_W6.1 Mae Lao (Northern Thailand) Earthquake: Interpretations of Recorded Ground Motion and Structural Damage

Ornthammarath

Warnitchai

2016

Earthquake Spectra

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A moderate left-lateral strike-slip earthquake of MW 6.1 occurred on 5 May 2014 in northern Thailand, causing damage to the town of Mae Lao and nearby municipalities. Based on an instrumental earthquake catalog, the Mae Lao earthquake is the second largest earthquake in modern Thai history after the MW 6.3 Nan earthquake in 1935. In this study, the strong-motion records from the epicentral area are analyzed in order to investigate the characteristics of the ground motions. In addition, post-earthquake field observations and statistics for typical structural damage in the affected area, such as the soft story effect and the shear failure of columns, are summarized. Besides major structural damage, the majority of structures in the epicentral area withstood the strong motion, which could be due to the low stress drop of the main shock (40 bars) leading to below average ground motions for an MW 6.1 earthquake.

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Section: Seismotectonic Setting and The 5 May 2014 Earthquakementioning

confidence: 68%

5 May 2014 M_W6.1 Mae Lao (Northern Thailand) Earthquake: Interpretations of Recorded Ground Motion and Structural Damage

Ornthammarath

Warnitchai

2016

Earthquake Spectra

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“…Their model is able to describe the spatiotemporal distribution of induced seismicity reasonably well, but it does not include any event size distribution or other source parameters such as stress drop. A similar approach is used by Langenbruch and Shapiro (2010) to investigate the behavior of postinjection seismicity and the approach by Hummel and Müller (2009) considers nonlinear pore fluid pressure diffusion. Schoenball et al (2010) find that the influence of hydraulic properties and the coupling of pore pressure to the stress field have an effect on the occurrence of microseismicity, but again they do not concentrate on event magnitudes.…”

Section: Introductionmentioning

confidence: 99%

Geomechanical modeling of induced seismicity source parameters and implications for seismic hazard assessment

Goertz‐Allmann

Wiemer

2013

GEOPHYSICS

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We simulate induced seismicity within a geothermal reservoir using pressure-driven stress changes and seismicity triggering based on Coulomb friction. The result is a forward-modeled seismicity cloud with origin time, stress drop, and magnitude assigned to each individual event. Our model includes a realistic representation of repeating event clusters, and is able to explain in principle the observation of reduced stress drop and increased b-values near the injection point where pore-pressure perturbations are highest. The higher the pore-pressure perturbation, the less critical stress states still trigger an event, and hence the lower the differential stress is before triggering an event. Less-critical stress states result in lower stress drops and higher b-values, if both are linked to differential stress. We are therefore able to establish a link between the seismological observables and the geomechanical properties of the source region and thus a reservoir. Understanding the geomechanical properties is essential for estimating the probability of exceeding a certain magnitude value in the induced seismicity and hence the associated seismic hazard of the operation. By calibrating our model to the observed seismicity data, we can estimate the probability of exceeding a certain magnitude event in space and time and study the effect of injection depth and crustal strength on the induced seismicity.

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“…For typical exploration purposes, the CSEM method employs a horizontal electric dipole (HED) source and is operated in the frequency domain. The sensitivity of the frequency-domain CSEM (FDCSEM) method to a reservoir is controlled not only by its acquisition layouts but also by the seawater depth (Um and Alumbaugh, 2007;Chave, 2009). As the seawater depth gradually decreases, the airwave is increasingly less attenuated through the seawater column.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling analysis of short-offset electric-field measurements with a vertical electric dipole source in complex offshore environments

Alumbaugh

Harris

et al. 2012

GEOPHYSICS

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We simulated and analyzed short-offset transient electric-field measurements excited by a vertical electric dipole (VED) source over complex 3D offshore models. A finite-element time-domain modeling algorithm was used to efficiently model complex offshore structures. Using a series of cross-sectional snapshots of transient electric fields in the complex offshore models, we examined the characteristics of the short-offset seafloor electricfield measurements. The numerical modeling analysis indicated that the short-offset horizontal electric-field (E x) measurements are very sensitive to subtle multidimensional seafloor topography near a VED source and can show a sign reversal at late times. The sign reversal occurs because the VED source is no longer normal to the seafloor. The occurrence of the sign reversal limits the application of the 1D inversion to the E x measurements, even at a short source-receiver offset. In contrast, the short-offset vertical electric-field (E z) measurements are robust to subtle seafloor topography around the source, and can be interpreted using the 1D inversion. The 1D inversion of the shortoffset E z measurements over the complex 3D offshore models shows that the measurements lack the resolution of the thickness and the resistivity of a hydrocarbon reservoir and a salt dome, but can provide useful insights into their lateral extent.

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Cited by 17 publications

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5 May 2014 M_W6.1 Mae Lao (Northern Thailand) Earthquake: Interpretations of Recorded Ground Motion and Structural Damage

5 May 2014 M_W6.1 Mae Lao (Northern Thailand) Earthquake: Interpretations of Recorded Ground Motion and Structural Damage

Geomechanical modeling of induced seismicity source parameters and implications for seismic hazard assessment

Numerical modeling analysis of short-offset electric-field measurements with a vertical electric dipole source in complex offshore environments

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Cited by 17 publications

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5 May 2014 MW6.1 Mae Lao (Northern Thailand) Earthquake: Interpretations of Recorded Ground Motion and Structural Damage

5 May 2014 MW6.1 Mae Lao (Northern Thailand) Earthquake: Interpretations of Recorded Ground Motion and Structural Damage

Geomechanical modeling of induced seismicity source parameters and implications for seismic hazard assessment

Numerical modeling analysis of short-offset electric-field measurements with a vertical electric dipole source in complex offshore environments

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5 May 2014 M_W6.1 Mae Lao (Northern Thailand) Earthquake: Interpretations of Recorded Ground Motion and Structural Damage

5 May 2014 M_W6.1 Mae Lao (Northern Thailand) Earthquake: Interpretations of Recorded Ground Motion and Structural Damage