Spectral analysis of ambient ground-motion—Noise reduction techniques and a methodology for mapping horizontal inhomogeneity

Lambert, Marc-André; Nguyen, T. T.; Saenger, Erik H.; Schmalholz, Stefan M.

doi:10.1016/j.jappgeo.2011.04.007

Cited by 11 publications

(7 citation statements)

References 52 publications

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“…This is in agreement with work by Lambert et al . (2011a; published while the present manuscript was in review). These authors conclude that attributes observed at the Voitsdorf site in Austria might be related to near‐surface, site specific structures, as well as deeper inhomogeneities and highlight how the low‐frequency spectral analysis is not free from ambiguity when applied to hydrocarbon detection.…”

Section: Discussionsupporting

confidence: 93%

“…Previously published work has already highlighted how this band can be contaminated by cultural noise (Hanssen and Bussat 2008; Schechinger et al . 2009; Lambert et al . 2011a).…”

Section: Wavefield Composition and Origin Of The Recorded Microtremormentioning

confidence: 99%

“…2007, 2009, 2010a, 2010b; Berteussen et al . 2008; Hanssen and Bussat 2008; Green and Greenhalgh 2009, 2010 1 ; Lambert et al . 2011).…”

Section: Introductionmentioning

confidence: 99%

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A passive low‐frequency seismic experiment in the Albertine Graben, Uganda

Martini

Lokmer

Paitz

et al. 2012

Geophysical Prospecting

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A passive seismic experiment was conducted in April/May 2010 in the Albertine Graben region in Uganda to record low‐frequency seismic signals and explore the possibility of their exploitation in this area as a direct hydrocarbon indicator (DHI). Recordings were made at locations directly overlying both hydrocarbon and water‐bearing strata within the sedimentary basin as well as reference sites external to the basin, directly on the basement. Contrary to findings published in some literature to date, we found that spatial variations in the analysed wavefield parameters correlate with the underlying geology rather than the presence or absence of hydrocarbons. Inversion of the surface‐wave (fundamental mode) dispersion curve as well as the observed horizontal‐to‐vertical spectral ratio of both surface and body waves provide evidence that the observed spectral variations can be explained solely by a simple layered/gradient velocity model, without the presence of any kind of anomaly that could be attributed exclusively to a hydrocarbon reservoir. Consequently, it is recommended that knowledge of the geological and velocity structure is sought when analysing passive low‐frequency seismic data sets. This is a fundamental prerequisite in order to guard against misinterpretation of the spatial variation of seismic derived attributes as DHIs.

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Section: Discussionsupporting

confidence: 93%

“…Previously published work has already highlighted how this band can be contaminated by cultural noise (Hanssen and Bussat 2008; Schechinger et al . 2009; Lambert et al . 2011a).…”

Section: Wavefield Composition and Origin Of The Recorded Microtremormentioning

confidence: 99%

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A passive low‐frequency seismic experiment in the Albertine Graben, Uganda

Martini

Lokmer

Paitz

et al. 2012

Geophysical Prospecting

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show abstract

“…The first one is to try to separate the near surface waves (including wind‐ and man‐made noise) from those travelling across deeper earth layers, as pursued by Lambert et al . (), Riahi, Birkelo and Saenger (), Riahi et al . (), Witten and Artman () and Birkelo et al .…”

Section: Introductionmentioning

confidence: 95%

“…There are at least two ways to improve this information extraction. The first one is to try to separate the near surface waves (including wind-and man-made noise) from those travelling across deeper earth layers, as pursued by Lambert et al (2010b), Riahi, Birkelo and Saenger (2011), Riahi et al (2013), Witten and Artman (2011) and Birkelo et al (2012), among others. The second method relies on exploiting the potentially unlimited recording duration by stacking signals obtained using seismic interferometry.…”

Section: Introductionmentioning

confidence: 99%