Malargüe seismic array: Design and deployment of the temporary array

Ruigrok, Elmer; Draganov, Deyan; Gómez, M.; Ruzzante, José; Torres, D. F.; Pumarega, I. Lópes; Barbero, Nadia; Gañan, A. R. Castaño; Wijk, Kasper van; Wapenaar, Kees

doi:10.1140/epjp/i2012-12126-7

Cited by 16 publications

(17 citation statements)

References 31 publications

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“…In this work, we only consider the data recorded by the T-array. More detailed information about MalARRgue can be found in Ruigrok et al (2012). Figs 2(a) and (b) present the location of the T-array, which was centred at about 35…”

Section: The Malargü E S E I S M I C a R R Aymentioning

confidence: 99%

“…In part, the T-array has been designed for the application of SI by MDD (Ruigrok et al 2012): surface waves induced by oceanseafloor interaction in the Southern Pacific Ocean will traverse the TN-line before arriving at a TE station. Consequently, this energy meets the requirements associated with SI by MDD concerning the direction of propagation through the 'boundary' of the 'volume'; the TN-line being part of the boundary and the area in which the TE stations reside being (part of) the volume in this case (compare Fig.…”

Section: Array and Data Characteristicsmentioning

confidence: 99%

“…The array has an aperture of approximately 60 km and has partly been designed for the application of SI by MDD (Ruigrok et al 2012). The denser receiver spacing of this array with respect to the deployments considered in Wapenaar et al (2011a) and van Dalen et al (2015), allows application of SI by MDD over a larger frequency range.…”

Section: Introductionmentioning

confidence: 99%

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Application of seismic interferometry by multidimensional deconvolution to ambient seismic noise recorded in Malargüe, Argentina

Weemstra

Draganov²,

Ruigrok

et al. 2016

Geophys. J. Int.

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S U M M A R YObtaining new seismic responses from existing recordings is generally referred to as seismic interferometry (SI). Conventionally, the SI responses are retrieved by simple crosscorrelation of recordings made by separate receivers: one of the receivers acts as a 'virtual source' whose response is retrieved at the other receivers. When SI is applied to recordings of ambient seismic noise, mostly surface waves are retrieved. The newly retrieved surface wave responses can be used to extract receiver-receiver phase velocities. These phase velocities often serve as input parameters for tomographic inverse problems. Another application of SI exploits the temporal stability of the multiply scattered arrivals of the newly retrieved surface wave responses. Temporal variations in the stability and/or arrival time of these multiply scattered arrivals can often be linked to temporally varying parameters such as hydrocarbon production and precipitation. For all applications, however, the accuracy of the retrieved responses is paramount. Correct response retrieval relies on a uniform illumination of the receivers: irregularities in the illumination pattern degrade the accuracy of the newly retrieved responses. In practice, the illumination pattern is often far from uniform. In that case, simple crosscorrelation of separate receiver recordings only yields an estimate of the actual, correct virtual-source response. Reformulating the theory underlying SI by crosscorrelation as a multidimensional deconvolution (MDD) process, allows this estimate to be improved. SI by MDD corrects for the non-uniform illumination pattern by means of a so-called point-spread function (PSF), which captures the irregularities in the illumination pattern. Deconvolution by this PSF removes the imprint of the irregularities on the responses obtained through simple crosscorrelation. We apply SI by MDD to surface wave data recorded by the Malargüe seismic array in western Argentina. The aperture of the array is approximately 60 km and it is located on a plateau just east of the Andean mountain range. The array has a T-shape: the receivers along one of the two lines act as virtual sources whose responses are recorded by the receivers along the other (perpendicular) line. We select time windows dominated by surface wave noise travelling in a favourable direction, that is, traversing the line of virtual sources before arriving at the receivers at which we aim to retrieve the virtual-source responses. These time windows are selected through a frequency-dependent slowness analysis along the two receiver lines. From the selected time windows, estimates of virtual-source responses are retrieved by means of crosscorrelations. Similarly, crosscorrelations between the positions of the virtual sources are computed to build C The

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Section: The Malargü E S E I S M I C a R R Aymentioning

confidence: 99%

Section: Array and Data Characteristicsmentioning

confidence: 99%

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Application of seismic interferometry by multidimensional deconvolution to ambient seismic noise recorded in Malargüe, Argentina

Weemstra

Draganov²,

Ruigrok

et al. 2016

Geophys. J. Int.

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“…In the following, we apply the global phase H/V spectral ratio, which hereafter is abbreviated as GloPHV, to data recorded by the Malargüe seismic array (MalARRgue; Ruigrok, Draganov, et al, 2012) in the Malargüe region, Mendoza, Argentina, to delineate a part of the local structure of the Malargüe basin.…”

Section: Introductionmentioning

confidence: 99%

Global-Phase H/V Spectral Ratio for Delineating the Basin in the Malargue Region, Argentina

Nishitsuji

Ruigrok

Gómez

et al. 2014

Seismological Research Letters

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“…Furthermore, we compare two results when earthquakes with epicentral distances ≥ 120° (about 80 global phases) and ≥ 150° (about 35 global phases) are used, respectively. (Ruigrok et al 2012) with a location map of global earthquakes we used for GloPHV (epicentral distance ≥ 120°). The red line denotes the location of an active seismic survey (Kraemer et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Mapping a Part of Neuquén Basin in Argentina by Global-phase H/V Spectral Ratio

et al. 2015

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SUMMARYWe investigated the applicability of global phases (epicentral distances of ≥ 120° and ≥ 150°) for the H/V spectral ratio to identify the fundamental resonance frequency. We applied the method to delineate a part of Neuquén basin in Argentina without the need for active seismic sources. We obtained fairly identifiable fundamental resonance frequencies in the range 0.15 Hz to 2.5 Hz. Receiver-side resonances were pronounced by stacking the H/V spectral ratio over many earthquake recordings. By doing so, the same fundamental resonances were found by using different window (P and S-phases) as well as different epicentral distances (≥ 120° and ≥ 150°). Our result, assuming average velocity, shows identical features in comparison with both the Bouguer anomaly and the active seismic profile nearby, indicating that our method is reliable. The method we demonstrate here can be applied in the fields particularly when the seismic array of long-term purposes is available.

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Malargüe seismic array: Design and deployment of the temporary array

Cited by 16 publications

References 31 publications

Application of seismic interferometry by multidimensional deconvolution to ambient seismic noise recorded in Malargüe, Argentina

Application of seismic interferometry by multidimensional deconvolution to ambient seismic noise recorded in Malargüe, Argentina

Global-Phase H/V Spectral Ratio for Delineating the Basin in the Malargue Region, Argentina

Mapping a Part of Neuquén Basin in Argentina by Global-phase H/V Spectral Ratio

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