Alexandros Savvaidis
University of Texas at Austin
130 Papers
380 Citations
Alexandros Savvaidis is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Geology & Induced seismicity. The author has an hindex of 18, co-authored 106 publications. Previous affiliations of Alexandros Savvaidis include Aristotle University of Thessaloniki.
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Papers
3D Microseismic Monitoring Using Machine Learning
Yangkang Chen,Omar M. Saad,Alexandros Savvaidis,Yunfeng Chen,S. Fomel +4 more
- 26 Feb 2022
TL;DR: In this paper , the authors proposed a very efficient (e.g., within 1 s) microseismic source localization method based on machine learning, which is efficient enough to be widely applied for the real-time monitoring of hydraulic fracturing.
Time-dependent seismic hazard and risk due to wastewater injection in Oklahoma:
TL;DR: In the past decade, Oklahoma has experienced unprecedented seismicity rates, following an increase in the volumes of wastewater that are being disposed underground as mentioned in this paper, and the number of wastewater disposal sites has increased.
On the repeatability and consistency of three-component ambient vibration array measurements
TL;DR: In this article, the frequency range over which the dispersion curves and spatial autocorrelation curves can be reliably estimated depends on the array dimensions (minimum and maximum aperture) used in the specific deployment, and may accordingly vary between the repeated experiments.
Influence of parameterization on inversion of surface wave dispersion curves and definition of an inversion strategy for sites with a strong VS contrast
TL;DR: Inversion of the fundamental mode of the Rayleigh wave dispersion curve does not provide a unique solution and the choice of the parameterization (number of layers, range of velocity, and thickness values for the layers) is of prime importance for obtaining reliable results.
Supporting information for "Ground structure imaging by inversions of Rayleigh wave ellipticity: sensitivity analysis and application to European strong-motion sites"
Manuel Hobiger,Cécile Cornou,Marc Wathelet,G. Di Giulio,B. Knapmeyer Endrun,F. Renalier,P. Y. Bard,Alexandros Savvaidis,Salomon Hailemikael,N. Le Bihan,Matthias Ohrnberger,Nikos Theodoulidis +11 more
- 01 Jan 2013
TL;DR: In this article, the authors used the ellipticity of Rayleigh waves to estimate the frequency dependence of the ellipsis of the surface wave dispersion curve and showed that the results are in good agreement with dispersion curves measured by a single seismic sensor.