Interferometric correlogram‐space analysis

Poliannikov, Oleg V.; Willis, Mark E.

doi:10.1190/1.3513705

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…2012) exploits the time differences in the cross‐correlation data before stacking, using the tangent condition together with, substantially, the information of the dual‐difference tomography (Zhang and Thurber ). Correlogram‐space analysis before data summation is used by Poliannikov and Willis () to obtain improved virtual shot gathers in the conventional interferometry representation. In comparison, the TPI approach is focused on the signal representation by reconstruction of the Fresnel zone after tangent‐phase correction and estimation of corresponding virtual sources.…”

Section: Discussionmentioning

confidence: 99%

Seismic interferometry by tangent‐phase correction

Poletto

Farina

Böhm

et al. 2014

Geophysical Prospecting

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We present a modified interferometry method based on local tangent‐phase analysis, which corrects the cross‐correlated data before summation. The approach makes it possible to synthesize virtual signals usually vanishing in the conventional seismic interferometry summation. For a given pair of receivers and a set of different source positions, a plurality of virtual traces is obtained at new stationary projected points located along the signal wavefronts passing through the real reference receiver. The position of the projected points is estimated by minimizing travel times using wavefront constraint and correlation‐signal tangent information. The method uses mixed processing, which is partially based on velocity‐model knowledge and on data‐based blind interferometry. The approach can be used for selected events, including reflections with different stationary conditions and projected points with respect to those of the direct arrivals, to extend the interferometry representation in seismic exploration data where conventional illumination coverage is not sufficient to obtain the stationary‐phase condition. We discuss possible applications in crosswell geometry with a velocity anomaly and a time lapse.

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Section: Discussionmentioning

confidence: 99%

Seismic interferometry by tangent‐phase correction

Poletto

Farina

Böhm

et al. 2014

Geophysical Prospecting

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“…Furthermore, as shown in the previous section, to locally image a specific interface it may be sufficient to have a relatively small cluster of strong events. Also, if gaps in events are found in correlograms then we could use the interferometric correlogram analysis discussed in Poliannikov & Willis (2011) to interpolate correlogram events where gaps are found and thus improve the final virtual gathers. We would also use teleseismic events in addition to the local earthquake data to build a virtual surface seismic survey.…”

Section: Discussionmentioning

confidence: 99%

Interferometric imaging of the underside of a subducting crust

Poliannikov

Rondenay

Chen

2012

Geophysical Journal International

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S U M M A R YSeismic interferometry provides tools for redatuming physical data to a new source location. Turning a source, located close to a structure of interest, into a virtual receiver has the potential benefit of improving the quality of imaging by increasing the effective aperture and mitigating the effect of velocity uncertainty in the overburden. Here, we consider the problem of estimating the Green's function between two earthquakes located inside a subducting slab using earthquake data recorded at the surface. Our primary focus is to obtain an accurate time-image of the subducting interface. We propose a novel two-step kinematically correct redatuming procedure that first redatums the data from earthquakes below the subducting interface to the surface via classical interferometry, and then utilizes source-receiver wavefield interferometry to redatum virtual surface seismic data to the location of a particular earthquake event.

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“…Illumination balancing can also be used to remove the imprints of missing sources, which is not possible with the self‐decon method. An alternative way to deal with the missing sources is interpolation in the correlation gather, as suggested by Poliannikov and Willis (2011).…”

Section: Discussionmentioning

confidence: 99%

Downhole interferometric illumination diagnosis and balancing

Neut

2012

Geophysical Prospecting

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SUMMARYWith seismic interferometry or the virtual source method, controlled sources can be redatumed from the Earth's surface to generate so-called virtual sources at downhole receiver locations. Generally this is done by crosscorrelation of the recorded downhole data and stacking over source locations. By studying the retrieved data at zero time lag, downhole illumination conditions that determine the virtual source radiation pattern can be analyzed without a velocity model. This can be beneficial for survey planning in time-lapse experiments. Moreover, the virtual source radiation pattern can be corrected by multidimensional deconvolution or directional balancing. Such an approach can help to improve virtual source repeatability, posing major advantages for reservoir monitoring. An algorithm is proposed for so-called illumination balancing (being closely related to directional balancing). It can be applied to single-component receiver arrays with limited aperture below a strongly heterogeneous overburden. The algorithm is demonstrated on synthetic 3D elastic data to retrieve time-lapse amplitude attributes.

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Interferometric correlogram‐space analysis

Cited by 6 publications

References 13 publications

Seismic interferometry by tangent‐phase correction

Seismic interferometry by tangent‐phase correction

Interferometric imaging of the underside of a subducting crust

Downhole interferometric illumination diagnosis and balancing

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