Investigation of shallow structures using ambient seismic noise data recorded at permanent broadband seismic stations in the Eastern Indian Shield and adjoining regions

2021 ◽  
Vol 80 (4) ◽  
Author(s):  
Rashmi Singh ◽  
A. P. Singh ◽  
Prosanta Kumar Khan ◽  
Ajeet P. Pandey
Keyword(s):  
Seismic Noise ◽  
Ambient Seismic Noise ◽  
Indian Shield ◽  
Seismic Stations ◽  
Noise Data

Wavefield reconstruction inversion for ambient seismic noise

2020 ◽  
Author(s):  
Sjoerd A.L. de Ridder ◽  
James R. Maddison ◽  
Ali Shaiban ◽  
Andrew Curtis
Keyword(s):  
Seismic Noise ◽  
Waveform Inversion ◽  
Irregular Sampling ◽  
Ambient Seismic Noise ◽  
Seismic Arrays ◽  
Temporal Relationships ◽  
Elastic Data ◽  
Passive Seismic ◽  
Noise Data ◽  
Estimate Dispersion

<p>With the advent of large and dense seismic arrays, there is an opportunity for novel inversion methods that exploit the information captured by stations in close proximity to each other. Estimating surface waves dispersion is an interest for many geophysical applications using both active and passive seismic data. We present an inversion scheme that exploits the spatial and temporal relationships of the Helmholtz equation to estimate dispersion relations directly from surface wave ambient noise data, while reconstructing the full wavefield in space and frequency. The scheme is a PDE constrained inverse problem in which we jointly estimate the state and parameter spaces of the seismic wavefield. Key to the application on ambient seismic noise recordings is to remove the boundary conditions from the PDE constraint, which renders a conventional waveform inversion formulation singular. With synthetic acoustic and elastic data examples we show that using a variable projection scheme, we can iteratively update an initial estimate of the medium parameters and recover an estimate for the true underlying velocity field. Our examples show that the we can reconstruct the full wavefield even in the case of strong aliasing and irregular sampling. This works forms the basis for a new approach to inverting ambient seismic noise using large and dense seismic arrays.</p>

scholarly journals Surface wave dispersion measurements from ambient seismic noise analysis in Italy

2010 ◽  
Vol 180 (3) ◽  
pp. 1242-1252 ◽  
Author(s):  
Hongyi Li ◽  
Fabrizio Bernardi ◽  
Alberto Michelini
Keyword(s):  
Surface Wave ◽  
Seismic Noise ◽  
Noise Analysis ◽  
Wave Dispersion ◽  
Ambient Seismic Noise ◽  
Surface Wave Dispersion
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