Acoustic daylight imaging via spectral factorization: Helioseismology and reservoir monitoring

Rickett, James; Claerbout, Jon F.

doi:10.1190/1.1438420

Cited by 206 publications

(83 citation statements)

References 4 publications

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“…[6] Cross-correlation function C(x 1 ,x 2 ,t) of time series of random diffuse noise p(x,t) recorded at points x 1 and x 2 is theoretically predicted to reproduce wavefronts of the sum of two deterministic Green's functions (impulse responses of the medium): a field G(x 2 ,x 1 ,t) radiated by a point source at x 1 and received at x 2 and G(x 1 ,x 2 ,−t); that is, time reversal of the field propagating from x 2 to x 1 [Rickett and Claerbout, 1999;Godin, 2006;Wapenaar et al, 2008]. For the wavefronts' reproduction, unlike reproduction of the exact Green's functions, the noise field is not required to be perfectly diffuse (i.e., isotropic and spatially uniform) [Snieder, 2004;Godin, 2006]; noise sources are not required to be delta-correlated or motionless [Godin, 2009a].…”

Section: Noise Cross-correlation Functionmentioning

confidence: 99%

“…In an inhomogeneous fluid, sound speed and fluid velocity fields can be retrieved from cross-correlations of noise measured at a sufficient number of points [Rickett and Claerbout, 1999;Godin, 2006]. Compared to well-established seismic interferometry [Wapenaar et al, 2008], passive ocean acoustic tomography faces a number of unique challenges, including time-dependence of the environment, motion of receivers and the medium, and requirements of very high relative accuracy of measurements of the sound speed in water.…”

Section: Introductionmentioning

confidence: 99%

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Ocean tomography with acoustic daylight

Godin

Zabotin

Goncharov

2010

Geophysical Research Letters

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Ambient noise in the ocean provides acoustic illumination, which can be used, similarly to daylight in the atmosphere, to visualize objects and characterize the environment. It has been shown theoretically that deterministic travel times between any two points in a moving or motionless, inhomogeneous, time‐independent medium can be retrieved from the cross‐correlation function of diffuse acoustic noise recorded at the two points, without a detailed knowledge of the noise field's sources or properties. In this paper, techniques are developed to account for receiver motion and suppress contributions due to powerful transient localized noise sources, such as nearby shipping, in order to enhance noise diffusivity. The data‐processing techniques are applied to ambient noise recordings of opportunity, which were obtained as a by‐product of a long‐range sound propagation experiment in the Pacific Ocean. The feasibility of passive ocean acoustic tomography with ambient noise recorded at two vertical line arrays is demonstrated successfully.

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Section: Noise Cross-correlation Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ocean tomography with acoustic daylight

Godin

Zabotin

Goncharov

2010

Geophysical Research Letters

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“…First progress was accomplished in the seismic exploration field (e.g., BASKIR and WELLER, 1975;COLE, 1995;RICKETT, 2001). Later, the idea was extended to coda waves and noise records (NIKOLAEV and TROITSKIY, 1987), and to solar seismology (DUVALL et al, 1993;RICKETT and CLAERBOUT, 1999). In recent years, a few papers have presented theoretical demonstrations of the relation between the temporal correlation of noise records at two stations and the Green's function of the medium LOBKIS, 2001, 2004;ROUX et al, 2004;SABRA et al, 2005a, b;SA´NCHEZ-SESMA and CAMPILLO, 2006).…”

Section: Methodsmentioning

confidence: 99%

Shear-wave Velocity Structure around Teide Volcano: Results Using Microtremors with the SPAC Method and Implications for Interpretation of Geodetic Results

Chávez-García

Luzón

Raptakis

et al. 2007

Pure appl. geophys.

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Deformation analysis and simulation of volcanic edifices require the construction of models of elastic properties of those structures. In this paper we present an analysis of microtremor measurements recorded during the performance tests of two temporary seismic arrays installed in the eastern portion of the Teide caldera in 1994. We take advantage of recent developments of the SPAC method and use spatial cross-correlation computations to estimate phase velocity dispersion of Rayleigh waves at the location of the arrays. We show that the extension of the standard SPAC method is valid in the case of our data, justifying its use and supporting the generalization of the SPAC method to single station pairs. The phase velocity dispersion curve obtained was inverted to recover the shear-wave profile at the site of the arrays. Our results indicate that the subsoil structure of the caldera is laterally homogeneous at the scale of a few km about the location of the arrays. We obtained about 315 m of volcanic sediments overlying rocks with a shear-wave velocity of 2 km/s. These results are robust and are a starting point to further modelling of deformation, permanent or transient, at this volcanic edifice, which can be useful in the interpretation of different observed fields. In fact, the computation of deformations and gravity changes due to possible volcanic intrusions in two models; one considering the volcanic sediments and the other without considering them, provided different results in the near field.

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“…Applications of SI exist for exploration data with controlled sources (Schuster et al, 2004;Bakulin et al, 2004Bakulin et al, , 2006Wapenaar, 2006), as well as for passive data due to natural sources (Rickett and Claerbout, 1999;Wapenaar et al, 2002;Draganov et al, 2007). For a cross-discipline overview, we refer the readers to the Geophysics Reprint Series about SI (Wapenaar et al (editors), 2008), which also contains contributions from authors from other disciplines.…”

Section: Introductionmentioning

confidence: 99%

Finite-difference modeling experiments for seismic interferometry

2011

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In passive seismic interferometry, new reflection data can be retrieved by crosscorrelating recorded noise data. The quality of the retrieved reflection data is, among others, dependent on the duration and number of passive sources present during the recording time, the source distribution, and the source strength. To investigate these relations we set up several numerical modeling studies. To carry out the modeling in a feasible time, we design a finite-difference algorithm for the simulation of long-duration passive seismic measurements of band-limited noise signatures in the subsurface. Novel features of the algorithm include the modeling of thousands of randomly placed sources during one modeling run. The modeling experiments explore the dependency relation between the retrieved reflections and source-signature length, source positions, number of sources, and source amplitude variations. From these experiments we observed that the positions of the passive sources and the length of the source signals are of direct influence on the quality of the retrieved reflections. Random amplitude variations among source signals do not seem to have a big impact on the retrieved reflections.

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Acoustic daylight imaging via spectral factorization: Helioseismology and reservoir monitoring

Cited by 206 publications

References 4 publications

Ocean tomography with acoustic daylight

Ocean tomography with acoustic daylight

Shear-wave Velocity Structure around Teide Volcano: Results Using Microtremors with the SPAC Method and Implications for Interpretation of Geodetic Results

Finite-difference modeling experiments for seismic interferometry

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