Double beamforming processing in a seismic prospecting context

Boué, Pierre; Roux, Philippe; Campillo, Míchel; Cacqueray, Benoit de

doi:10.1190/geo2012-0364.1

Cited by 28 publications

(26 citation statements)

References 26 publications

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“…and its recent use has provided successful results for multipath shallow water tomography [Roux et al, 2008[Roux et al, , 2011a. DBF can identify direct and reflected surface/body waves [De Cacqueray et al, 2011;Boué et al, 2013]. Applying DBF processing to USArray, Boué et al [2014] compensated for the unfavorable noise direction, to improve the accuracy of inverted velocities in ambient noise surface wave tomography.…”

Section: Introductionmentioning

confidence: 99%

Body and surface wave reconstruction from seismic noise correlations between arrays at Piton de la Fournaise volcano

Nakata

Boué

Brenguier

et al. 2016

Geophysical Research Letters

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Body wave reconstruction from ambient seismic noise correlations is an important step toward improving volcano imaging and monitoring. Here we extract body and surface waves that propagate in Piton de la Fournaise volcano on La Réunion island using ambient noise cross correlation and array‐processing techniques. Ambient noise was continuously recorded at three dense arrays, each comprising 49 geophones. To identify and enhance the Green's function from the ambient noise correlation, we apply a double beamforming (DBF) technique between the array pairs. The DBF allows us to separate surface and body waves, direct and reflected waves, and multipathing waves. Based on their azimuths and slownesses, we successfully extract body waves between all the combinations of arrays, including the wave that propagates through the active magmatic system of the volcano. Additionally, we identify the effects of uneven noise source distribution and interpret the surface wave reflections.

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Section: Introductionmentioning

confidence: 99%

Body and surface wave reconstruction from seismic noise correlations between arrays at Piton de la Fournaise volcano

Nakata

Boué

Brenguier

et al. 2016

Geophysical Research Letters

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“…The DBF approach, which is also known as double array stacking, is a double slant-stack processing of two distinct source and receiver arrays [Krüger et al, 1993;Rost and Thomas, 2002;Roux et al, 2008, Boué et al, 2013. In the case of the cross-correlation data set, this method can be generalized to two-receiver arrays ( Figure 2).…”

Section: Double-beamforming Methodsmentioning

confidence: 99%

Phase velocity tomography of surface waves using ambient noise cross correlation and array processing

et al. 2014

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Continuous recordings of ambient seismic noise across large seismic arrays allows a new type of processing using the cross-correlation technique on broadband data. We propose to apply double beamforming (DBF) to cross correlations to extract a particular wave component of the reconstructed signals. We focus here on the extraction of the surface waves to measure phase velocity variations with great accuracy. DBF acts as a spatial filter between two distant subarrays after cross correlation of the wavefield between each single receiver pair. During the DBF process, horizontal slowness and azimuth are used to select the wavefront on both subarray sides. DBF increases the signal-to-noise ratio, which improves the extraction of the dispersive wave packets. This combination of cross correlation and DBF is used on the Transportable Array (USArray), for the central U.S. region. A standard model of surface wave propagation is constructed from a combination of the DBF and cross correlations at different offsets and for different frequency bands. The perturbation (phase shift) between each beam and the standard model is inverted. High-resolution maps of the phase velocity of Rayleigh and Love waves are then constructed. Finally, the addition of azimuthal information provided by DBF is discussed, to construct curved rays that replace the classical great-circle path assumption.

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“…; Boué et al . ). In particular, DBF has been used in geophysical contexts, with 2D arrays to separate surface waves and body waves using numerical and real data (Boué et al .…”

Section: The Double‐beamforming Algorithmmentioning

confidence: 97%

“…In particular, DBF has been used in geophysical contexts, with 2D arrays to separate surface waves and body waves using numerical and real data (Boué et al . ), and through laboratory‐scale experiments (de Cacqueray et al . ).…”

Section: The Double‐beamforming Algorithmmentioning

confidence: 99%

Using slowness and azimuth fluctuations as new observables for four‐dimensional reservoir seismic monitoring

Cacqueray

Roux

Campillo

2015

Geophysical Prospecting

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Four‐dimensional imaging using geophysical data is of increasing interest in the oil and gas industries. While travel‐time and amplitude variations are commonly used to monitor reservoir properties at depth, their interpretation can suffer from a lack of information to decipher the parts played by different parameters. In this context, this study focuses on the slowness and azimuth angle measured at the surface using source and receiver arrays as complementary observables. In the first step, array processing techniques are used to extract both azimuth and incidence angles at the source side (departure angles) and at the receiver side (arrival angles). In the second step, the slowness and angle variations are monitored in a laboratory environment. These new observables are compared with traditional arrival‐time variations when the propagation medium is subject to temperature fluctuations. Finally, field data from a heavy‐oil permanent reservoir monitoring system installed onshore and facing steam injection and temperature variations are investigated. The slowness variations are computed over a period of 152 days. In agreement with Fermat's principle, strong correlations between the slowness and arrival‐time variations are highlighted, as well as good consistency with other techniques and field pressure measurements. Although the temporal variations of slowness and arrival time show the same features, there are still differences that can be considered for further characterization of the physical changes at depth.

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Double beamforming processing in a seismic prospecting context

Cited by 28 publications

References 26 publications

Body and surface wave reconstruction from seismic noise correlations between arrays at Piton de la Fournaise volcano

Body and surface wave reconstruction from seismic noise correlations between arrays at Piton de la Fournaise volcano

Phase velocity tomography of surface waves using ambient noise cross correlation and array processing

Using slowness and azimuth fluctuations as new observables for four‐dimensional reservoir seismic monitoring

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