2019
DOI: 10.1093/gji/ggz258
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Accounting for receiver perturbations in seismic wavefield gradiometry

Abstract: Spatial wavefield gradient data can be estimated from dense receiver arrays using a finitedifference approximation. Array-derived spatial wavefield gradient data to estimate, for example, strain and rotation components of the wavefield usually suffer from receiver perturbations, such as varying sensor coupling and/or differences in the instrument channel responses. We present a novel methodology to compute spatial seismic wavefield gradient data in the presence of receiver specific perturbation effects. We sim… Show more

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Cited by 2 publications
(1 citation statement)
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“…However, the Taylor series approximation is only reasonable under the assumption that the subsurface is homogeneous and deformation varies linearly over the array area. In addition, array-based spatial wavefield gradient data is prone to noise caused by measurement uncertainties, such as varying receiver-to-ground coupling, differences in the instrument response, or sensor orientation [137][138][139][140][141]. Further issues with array-derived rotation estimates can be caused by strain-rotation coupling, a site-effect describing the conversion of strains on a large scale (seismic wavelength) to rotations on a local scale due to near-receiver heterogeneity [142].…”
Section: Array-derived Rotational Motionsmentioning
confidence: 99%
“…However, the Taylor series approximation is only reasonable under the assumption that the subsurface is homogeneous and deformation varies linearly over the array area. In addition, array-based spatial wavefield gradient data is prone to noise caused by measurement uncertainties, such as varying receiver-to-ground coupling, differences in the instrument response, or sensor orientation [137][138][139][140][141]. Further issues with array-derived rotation estimates can be caused by strain-rotation coupling, a site-effect describing the conversion of strains on a large scale (seismic wavelength) to rotations on a local scale due to near-receiver heterogeneity [142].…”
Section: Array-derived Rotational Motionsmentioning
confidence: 99%