Passive seismic interferometry by multidimensional deconvolution

Wapenaar, Kees; Neut, Joost van der; Ruigrok, Elmer

doi:10.1190/1.2976118

Cited by 138 publications

(92 citation statements)

References 11 publications

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“…On the other hand, the MDD method would treat the amplitudes of both upgoing ͑r2͒ and downgoing reflections ͑r1 and r3͒ more accurately and would give better results ͑Figure 6a͒. This happens because the MDD method is more robust with respect to the source distribution than the CC method as shown in Wapenaar et al ͑2008b͒.…”

Section: Imaging Results From Crosscorrelation and Multidimensional Dmentioning

confidence: 99%

“…Even though the results from the CC method normally are deconvolved for the source spectra after correlation and summation, this deconvolution might not be trivial. Furthermore, when source arrays are irregular, wave amplitudes and traveltimes retrieved by the MDD method better represent the true wavefield than those from the CC method: The amplitudes of the wavefield retrieved by the CC method differ from the true wavefield, and the integration of the crosscorrelation results from the irregular source array would result in lower signal-to-noise ratio of the retrieved results ͑e.g., Snieder et al, 2006;Mehta et al, 2008b;Wapenaar et al, 2008b͒. On the other hand, the MDD method has several constraints: ͑1͒ MDD requires receiver arrays and therefore cannot be applied to a single receiver configuration, ͑2͒ MDD tends to be more CPU intensive than the CC method by array operation, and ͑3͒ MDD possibly is unstable because the inversion problem may be ill-conditioned.…”

Section: Introductionmentioning

confidence: 99%

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Seismic interferometry using multidimensional deconvolution and crosscorrelation for crosswell seismic reflection data without borehole sources

et al. 2011

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Crosswell reflection method is a high-resolution seismic imaging method that uses recordings between boreholes. The need for downhole sources is a restrictive factor in its application, for example, to time-lapse surveys. An alternative is to use surface sources in combination with seismic interferometry. Seismic interferometry ͑SI͒ could retrieve the reflection response at one of the boreholes as if from a source inside the other borehole. We investigate the applicability of SI for the retrieval of the reflection response between two boreholes using numerically modeled field data. We compare two SI approaches -crosscorrelation ͑CC͒ and multidimensional deconvolution ͑MDD͒. SI by MDD is less sensitive to underillumination from the source distribution, but requires inversion of the recordings at one of the receiver arrays from all the available sources. We find that the inversion problem is illposed, and propose to stabilize it using singular-value decomposition. The results show that the reflections from deep boundaries are retrieved very well using both the CC and MDD methods. Furthermore, the MDD results exhibit more realistic amplitudes than those from the CC method for downgoing reflections from shallow boundaries. We find that the results retrieved from the application of both methods to field data agree well with crosswell seismic-reflection data using borehole sources and with the logged P-wave velocity.

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Section: Imaging Results From Crosscorrelation and Multidimensional Dmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Seismic interferometry using multidimensional deconvolution and crosscorrelation for crosswell seismic reflection data without borehole sources

et al. 2011

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“…Several algorithms have been used in seismic interferometry to obtain the wavefield. These include cross correlation [e.g., Claerbout, 1968;Bakulin and Calvert, 2004], deconvolution [e.g., Trampert et al, 1993;Snieder and Şafak, 2006], cross coherence [e.g., Aki, 1957;Prieto et al, 2009], and multidimensional deconvolution [e.g., Wapenaar et al, 2008;Minato et al, 2011].…”

Section: Retrieval Of the Wavefield Between Receiversmentioning

confidence: 99%

Estimating near‐surface shear wave velocities in Japan by applying seismic interferometry to KiK‐net data

2012

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[1] We estimate shear wave velocities in the shallow subsurface throughout Japan by applying seismic interferometry to the data recorded with KiK-net, a strong motion network in Japan. Each KiK-net station has two receivers; one receiver on the surface and the other in a borehole. By using seismic interferometry, we extract the shear wave that propagates between these two receivers. Applying this method to earthquake-recorded data at all KiK-net stations from 2000 to 2010 and measuring the arrival time of these shear waves, we analyze monthly and annual averages of the near-surface shear wave velocity all over Japan. Shear wave velocities estimated by seismic interferometry agree well with the velocities obtained from logging data. The estimated shear wave velocities of each year are stable. For the Niigata region, we observe a velocity reduction caused by major earthquakes. For stations on soft rock, the measured shear wave velocity varies with the seasons, and we show negative correlation between the shear wave velocities and precipitation. We also analyze shear wave splitting by rotating the horizontal components of the surface sensors and borehole sensors and measuring the dependence on the shear wave polarization. This allows us to estimate the polarization with the fast shear wave velocity throughout Japan. For the data recorded at the stations built on hard rock sites, the fast shear wave polarization directions correlate with the direction of the plate motion.Citation: Nakata, N., and R. Snieder (2012), Estimating near-surface shear wave velocities in Japan by applying seismic interferometry to KiK-net data,

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“…Another method is introduced by Wapenaar et al ͑2008͒, who propose the use of multidimensional deconvolution ͑MDD͒ of separated passive wavefields. They show that, theoretically, MDD will solve the problem of irregular source strength and irregular amplitude.…”

Section: ͑2007͒mentioning

confidence: 99%

Directional balancing for seismic and general wavefield interferometry

Curtis

Halliday

2010

GEOPHYSICS

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In passive seismic interferometry using naturally occurring, heterogeneous noise sources and in active-source seismic interferometry where sources can usually only be distributed densely on the exterior of solid bodies, bias can be introduced in Green's function estimates when amplitudes of energy have directional variations. We have developed an algorithm to remove bias in Green's function estimates constructed using seismic interferometry when amplitudes of energy used have uncontrollable directional variations. The new algorithm consists of two parts: ͑1͒ a method to measure and adjust the amplitudes of physical, incoming energy using an array of receivers and ͑2͒ a method to predict and remove nonphysical energy that remains ͑and can be accentuated͒ in interferometrically derived Green's functions after applying the method in step 1. To accomplish step 2, we have created two data-driven methods to predict the nonphysical energy using direct computation or move-out-based methods, and a way to suppress such energy using ͑in this case͒ helical leastsquares filters. Two-dimensional acoustic scattering examples confirm the algorithm's effectiveness.

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Passive seismic interferometry by multidimensional deconvolution

Cited by 138 publications

References 11 publications

Seismic interferometry using multidimensional deconvolution and crosscorrelation for crosswell seismic reflection data without borehole sources

Seismic interferometry using multidimensional deconvolution and crosscorrelation for crosswell seismic reflection data without borehole sources

Estimating near‐surface shear wave velocities in Japan by applying seismic interferometry to KiK‐net data

Directional balancing for seismic and general wavefield interferometry

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