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

Nishitsuji, Yohei; Ruigrok, Elmer; Gómez, M.; Draganov, Deyan

doi:10.1785/0220140054

Cited by 18 publications

(22 citation statements)

References 21 publications

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“…Farías et al 2010). Compared to the results by Nishitsuji et al (2014), the results presented here show a slightly thinner sedimentary unit. To get a better estimate of the depth, a better velocity model would be desired.…”

Section: Malargüe Arraycontrasting

confidence: 61%

“…7). The sedimentary thickness of the basin infill is decreasing towards the east (Kraemer et al 2011;Nishitsuji et al 2014). Nishitsuji et al (2014) concluded this, based on the application of the global phase H/V spectral ratio (GloPHV) method to the Malargüe array.…”

Section: Malargüe Arraymentioning

confidence: 99%

“…The sedimentary thickness of the basin infill is decreasing towards the east (Kraemer et al 2011;Nishitsuji et al 2014). Nishitsuji et al (2014) concluded this, based on the application of the global phase H/V spectral ratio (GloPHV) method to the Malargüe array. These authors find that the average thickness below the TN-line is about 5 km and that the thickness at the first TE-station is about 4 km and decreases to about 500 m below the easternmost station of the line.…”

Section: Malargüe Arraymentioning

confidence: 99%

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Shallow crustal imaging using distant, high-magnitude earthquakes

IJsseldijk

Ruigrok

Verdel

et al. 2019

Geophysical Journal International

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SUMMARY Global phases, viz. seismic phases that travel through the Earth’s core, can be used to locally image the crust by means of seismic interferometry. This method is known as Global Phase Seismic Interferometry (GloPSI). Traditionally, GloPSI retrieves low-frequency information (up to 1 Hz). Recent studies, however, suggest that there is high-frequency signal present in the coda of strong, distant earthquakes. This research quantifies the potential of these high-frequency signals, by analysing recordings of a multitude of high-magnitude earthquakes (≥6.4 Mw) and their coda on a selection of permanent USArray stations. Nearly half of the P, PKP and PKIKP phases are recorded with a signal-to-noise ratio of at least 5 dB at 3 Hz. To assess the viability of using the high-frequency signal, the second half of the paper highlights two case studies. First, a known sedimentary structure is imaged in Malargüe, Argentina. Secondly, the method is used to reveal the structure of the Midcontinent Rift below the SPREE array in Minnesota, USA. Both studies demonstrate that structural information of the shallow crust (≤5 km) below the arrays can be retrieved. In particular, the interpreted thickness of the sedimentary layer below the Malargüe array is in agreement with earlier studies in the same area. Being able to use global phases and direct P-phases with large epicentral distances (>80°) to recover the Earth’s sedimentary structure suggests that GloPSI can be applied in an industrial context.

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Section: Malargüe Arraycontrasting

confidence: 61%

Section: Malargüe Arraymentioning

confidence: 99%

Section: Malargüe Arraymentioning

confidence: 99%

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Shallow crustal imaging using distant, high-magnitude earthquakes

IJsseldijk

Ruigrok

Verdel

et al. 2019

Geophysical Journal International

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“…At higher frequencies, however, a clear disparity between the surface wave phase velocity in the eastern part of the array (dispersion curve extracted from the virtual-source responses at stations TE07-TE13) and the western part of the array can be observed (other dispersion curves). The higher velocities in the east can most probably be attributed to the limited depth of the Malargüe basin below that part of the array (Kraemer et al 2011;Nishitsuji et al 2014).…”

Section: Preprocessing and Slowness Analysismentioning

confidence: 99%

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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“…Some notable examples of deployed large-N arrays include the Long Beach nodal array (Lin et al, 2013a), the San Jacinto array (Ben-Zion et al, 2015), the Malargüe array (Ruigrok et al, 2012;Nishitsuji et al, 2014), the Diablo Canyon (Nakata and Beroza, 2017), and the Mount St.…”

mentioning

confidence: 99%

Automatic 3D illumination-diagnosis method for large-N arrays: Robust data scanner and machine-learning feature provider

et al. 2019

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Automatic 3D illumination-diagnosis method for large-N arrays: robust data scanner and machine-learning feature provider Chamarczuk, M.; Malinowski, M.; Nishitsuji, Yohei; Thorbecke, Jan Willem; Koivisto, E.; Heinonen, S.; Juurela, S.; Mężyk, M.; Draganov, Deyan ABSTRACTThe main issues related to passive-source reflection imaging with seismic interferometry are inadequate acquisition parameters for sufficient spatial wavefield sampling and vulnerability of surface arrays to the dominant influence of the omni-present surface-wave sources.Additionally, long recordings provide large data volumes that require robust and efficient processing methods. We address these problems by developing a two-step wavefield evaluation and detection method (TWEED) of body waves in recorded ambient noise. TWEED evaluates the spatio-temporal characteristics of noise recordings by simultaneous analysis of adjacent receiver lines. We test our method on synthetic data representing transient ambient-noise sources at the surface and in the deeper subsurface. We discriminate between basic types of seismic events by using three adjacent receiver lines. Subsequently, we apply TWEED to 600 hours of ambient noise acquired with ~1000-receiver array deployed over an active underground mine in Eastern Finland. We demonstrate detection of body-wave events related to mine blasts and other routine mining activities using a representative one-hour noise panel.Using TWEED, we successfully detect 1093 body-wave events in the full data set. To increase the computational efficiency, we use slowness parameters derived from the first step of TWEED as input to a support vector machine (SVM) algorithm. Using this approach, we detect 94 percent of the TWEED-evaluated body-wave events indicating the possibility to limit the illumination analysis to only one step and therefore increase the time efficiency at the price of lower detection rate. However, TWEED on a small volume of the recorded data followed by SVM on the rest of the data could be efficiently used for a quick and robust (real-time) scanning for body-wave energy in large data volumes for subsequent application of seismic interferometry for retrieval of reflections.

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

Cited by 18 publications

References 21 publications

Shallow crustal imaging using distant, high-magnitude earthquakes

Shallow crustal imaging using distant, high-magnitude earthquakes

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

Automatic 3D illumination-diagnosis method for large-N arrays: Robust data scanner and machine-learning feature provider

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