Interferometry by deconvolution: Part 2 — Theory for elastic waves and application to drill-bit seismic imaging

Vasconcelos, Ivan; Snieder, Roel

doi:10.1190/1.2904985

Cited by 119 publications

(54 citation statements)

References 36 publications

(46 reference statements)

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“…Seismic interferometry is applied to ambient noise [e.g., Hohl and Mateeva, 2006;Draganov et al, 2007Draganov et al, , 2009Brenguier et al, 2008;Stehly et al, 2008;Lin et al, 2009], traffic noise [e.g., , production noise [e.g., Miyazawa et al, 2008;Vasconcelos and Snieder, 2008], earthquake data [e.g., Larose et al, 2006, Sens-Schönfelder andWegler, 2006;Snieder and Şafak, 2006;Ma et al, 2008;Ruigrok et al, 2010], and active sources [e.g., Bakulin and Calvert, 2004;Mehta et al, 2008].…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%

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

2012

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“…Note that G +,+ and G −,+ are defined in the actual medium, whereas R(p, z i , τ) is defined in a reference medium that is identical to the actual medium below z i and reflection-free above z i . Resolving R from equation (4) involves "seismic interferometry by deconvolution" (Snieder et al, 2006;Vasconcelos and Snieder, 2008;van der Neut et al, 2011). We illustrate this with a numerical example.…”

Section: Elastodynamic Marchenko Imagingmentioning

confidence: 99%

Elastodynamic Marchenko Focusing, Green's Function Retrieval and Imaging

Wapenaar

Slob

2015

Proceedings

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SUMMARYBuilding on acoustic autofocusing in 1D media, we previously proposed acoustic Marchenko imaging for 1D and 3D media. Recently, the first steps have been set towards extending the single-sided Marchenko method to the elastodynamic situation. Here we discuss the extension of single-sided Marchenko focusing, Green's function retrieval and imaging to the elastodynamic situation. With numerical examples in a horizontally layered medium we show that, at least in principle, a true amplitude image can be obtained, free of artefacts related to multiple reflections and wave conversions. The method can be extended to 3D situations, in a similar way as we extended the acoustic 1D method to the 3D situation.

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“…It is applied, for example, for imaging purposes (Vasconcelos and Snieder, 2008b), retrieving building response to ground shaking (Snieder and Şafak, 2006;Bindi et al, 2015), and for determining near-surface velocities (van Vossen et al, 2004;Parolai et al, 2009;Nakata and Snieder, 2012). Deconvolution interferometry has also found applications in estimating site-specific Q values.…”

Section: Introductionmentioning

confidence: 99%

Seismic‐Wave Propagation in Shallow Layers at the GONAF‐Tuzla Site, Istanbul, Turkey

Raub

Bohnhoff

Petrović

et al. 2016

Bulletin of the Seismological Society of America

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Using the first dataset available from the downhole Geophysical Observatory of the North Anatolian Fault, we investigated near-surface seismic-wave propagation on the Tuzla Peninsula, Istanbul, Turkey. We selected a dataset of 26 seismograms recorded at Tuzla at sensor depths of 0, 71, 144, 215, and 288 m. To determine near-surface velocities and attenuation structures, the waveforms from all sensors were pairwise deconvolved and stacked. This produced low-noise empirical Green's functions for each borehole depth interval. From the Green's functions, we identified reflections from the free surface and a low-velocity layer between ∼90 and ∼140 m depth. The presence of a low-velocity zone was also confirmed by a sonic log run in the borehole. This structure, plus high near-surface P-and S-wave velocities of ∼3600-4100 and ∼1800 m=s, lead to complex interference effects between upgoing and downgoing waves. As a result, the determination of quality factors (Q) with standard spectral ratio techniques was not possible. Instead, we forward modeled the Green's functions in the time domain to determine effective Q values and to refine our velocity estimates. The effective Q P values for the depth intervals of 0-71, 0-144, 0-215, and 0-288 m were found to be 19, 35, 39, and 42, respectively. For the S waves, we obtained an effective Q S of 20 in the depth interval of 0-288 m. Considering the assumptions made in our modeling approach, it is evident that these effective quality factors are biased by impedance contrasts between our observation points. Our results show that, even after correcting for a free-surface factor of 2, the motion at the surface was found to be 1.7 times greater than that at 71 m depth. Our efforts also illustrate some of the difficulties of dealing with site effects in a strongly heterogeneous subsurface.Online Material: Plots of resistivity and caliper logs and the spectra of all 26 events.

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Interferometry by deconvolution: Part 2 — Theory for elastic waves and application to drill-bit seismic imaging

Cited by 119 publications

References 36 publications

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

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

Elastodynamic Marchenko Focusing, Green's Function Retrieval and Imaging

Seismic‐Wave Propagation in Shallow Layers at the GONAF‐Tuzla Site, Istanbul, Turkey

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