Improved Green’s functions from seismic interferometry
نویسندگان
چکیده
Under certain theoretical assumptions, the theory of seismic interferometry allows the construction of artificial (or virtual) sources and receivers at the locations of receivers in a physical experiment. This is done by redatuming the physical sources to be at the locations of the physical receivers. Each redatumed trace is formed by stacking the cross-correlations of appropriate recorded traces from each physical shot. For the resulting stacked traces to be a valid approximation certain requirements, like an adequate number of surface sources with a small enough spacing in the acquisition geometry, must be met. If these requirements are not met, the resulting virtual shot gather will contain artifacts. In this paper, we analyze both the sets of correlated traces (correlograms) and their stack. We observe that it is possible to reduce certain artifacts in the stacked traces by novel filtering operations. These filtering operations may have broad utility in all of seismic interferometric applications. 1
منابع مشابه
n the relation between seismic interferometry and the migration esolution function
Seismic interferometry refers to the process of retrieving new seismic responses by crosscorrelating seismic observations at different receiver locations. Seismic migration is the process of forming an image of the subsurface by wavefield extrapolation. Comparing the expressions for backward propagation known from migration literature with the Green’s function representations for seismic interf...
متن کاملSVD enhanced seismic interferometry for traveltime estimates between microquakes
In general, Green’s functions obtained with seismic interferometry are only estimates of the true Green’s function, introducing uncertainties to the information recovered from them. However, there are still many cases in which the sourcereceiver geometries are suitable for seismic interferometry, usually allowing the recovery of kinematic information. Here we show how to use the singular value ...
متن کاملConnection of scattering principles: focusing the wavefield without source or receiver
Inverse scattering, seismic interferometry, and focusing are subjects usually studied as independent problems in different research areas. We speculate that a physical connection exists between them because the equations that rule these scattering principles have a similar functional form. With a visual explanation of the relationship between these principles, we describe the importance of the ...
متن کاملn seismic interferometry , the generalized optical theorem , and the cattering
We have analyzed the far-field approximation of the Green’s function representation for seismic interferometry. By writing each of the Green’s functions involved in the correlation process as a superposition of a direct wave and a scattered wave, the Green’s function representation is rewritten as a superposition of four terms. When the scattered waves are modeled with the Born approximation, i...
متن کاملOn seismic interferometry, the generalized optical theorem, and the scattering matrix of a point scatterer
We have analyzed the far-field approximation of the Green’s function representation for seismic interferometry. By writing each of the Green’s functions involved in the correlation process as a superposition of a direct wave and a scattered wave, the Green’s function representation is rewritten as a superposition of four terms. When the scattered waves are modeled with the Born approximation, i...
متن کاملSeismic interferometry by crosscorrelation and by multidimensional deconvolution: a systematic comparison
Seismic interferometry, also known as Green’s function retrieval by crosscorrelation, has a wide range of applications, ranging from surface-wave tomography using ambient noise, to creating virtual sources for improved reflection seismology. Despite its successful applications, the crosscorrelation approach also has its limitations. The main underlying assumptions are that the medium is lossles...
متن کامل