Quantifying the effectiveness of stabilized inverse<i>Q</i>filtering

Wang, Yanghua

doi:10.1190/1.1543219

Cited by 90 publications

(39 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This equation provides the theoretical basis of the spectralratio method, a popular method of obtaining frequencyindependent Q estimates from field datasets, such as vertical seismic profiles (Tonn, 1991;Wang, 2003) and surfacereflection surveys (Dasgupta and Clark, 1998;Reine and others, 2009). Equation (4) implies higher frequencies are preferentially attenuated.…”

Section: Seismic Attenuation and The Spectral-ratio Methodsmentioning

confidence: 99%

Seismic wave attenuation in the uppermost glacier ice of Storglaciären, Sweden

Gusmeroli¹,

Clark

Murray³

et al. 2010

J. Glaciol.

View full text Add to dashboard Cite

ABSTRACT. We conducted seismic refraction surveys in the upper ablation area of Storglaciären, a small valley glacier located in Swedish Lapland. We estimated seismic-wave attenuation using the spectralratio method on the energy travelling in the uppermost ice with an average temperature of approximately -1 • • C. Attenuation values were derived between 100 and 300 Hz using the P-wave quality factor, Q P , the inverse of the internal friction. By assuming constant attenuation along the seismic line we obtained mean Q P = 6 ± 1. We also observed that Q P varies from 8 ± 1 to 5 ± 1 from the near-offset to the far-offset region of the line, respectively. Since the wave propagates deeper at far offsets, this variation is interpreted by considering the temperature profile of the study area; far-offset arrivals sampled warmer and thus more-attenuative ice. Our estimates are considerably lower than those reported for field studies in polar ice (∼500-1700 at -28

show abstract

Section: Seismic Attenuation and The Spectral-ratio Methodsmentioning

confidence: 99%

Seismic wave attenuation in the uppermost glacier ice of Storglaciären, Sweden

Gusmeroli¹,

Clark

Murray³

et al. 2010

J. Glaciol.

View full text Add to dashboard Cite

show abstract

“…Consequently, the first arrivals clearly show narrower waveforms after inverse Q filtering. The stable inverse Q filter does not boost the higher frequencies that were completely attenuated from the original data (Wang, 2002(Wang, , 2003(Wang, , 2006. This is why high-frequency components of waveforms in the deep part (depth > 1500 m) are not boosted.…”

Section: D222 Wangmentioning

confidence: 98%

“…One is based on the attenuation measurement directly. The other is based on a compensation gain function, derived with stabilization (Wang, 2002(Wang, , 2003 from the 1D attenuation measurement. The reliability of these two methods is demonstrated using synthetic and field VSP data sets.…”

Section: Introductionmentioning

confidence: 99%

Stable Q analysis on vertical seismic profiling data

Wang

2014

GEOPHYSICS

Self Cite

View full text Add to dashboard Cite

Vertical seismic profiling (VSP) provides a direct observation of seismic waveforms propagating to various depths within the earth's subsurface. The Q analysis or attenuation (1∕Q) analysis based on direct comparison between individual waveforms at different depths, however, suffers from the problem of instability commonly due to fluctuations inherent in the frequency spectrum of each waveform. To improve the stability, we considered frequency and time variations and conducted Q analysis on an integrated observation. First, we transformed the time-(or depth-) frequency-domain spectrum to a 1D attenuation measurement with respect to a single variable, the product of time and frequency. Although this 1D measurement has a higher signal-to-noise ratio than the 2D spectrum in the time-frequency domain, it can also be used to further generate a stabilized compensation function. Then, we implemented two Q-analysis methods by data fitting (in a least-squares sense) to either the attenuation measurement or the data-driven gain function. These two methods are theoretically consistent and practically robust for conducting Q analysis on field VSP data.

show abstract

“…Wang [2003] presented an expression showing that the improvement of seismic resolution depends not only on the frequency bandwidth but also the signal-to-noise ratio. Seismic resolution will be improved only when both factors enforce each other.…”

Section: Introductionmentioning

confidence: 99%

Seismic migration with inverse Q filtering

Wang

Guo²

2004

Geophysical Research Letters

Self Cite

View full text Add to dashboard Cite

[1] Taking account the earth Q effect (i.e., frequencydependent amplitude decay and velocity dispersion) during seismic migration simultaneously, the resultant seismic image is expected to be high resolution with true amplitude and correct timing. We present here a stabilized algorithm for such a ''migration incorporating inverse Q filtering'' scheme, so that the imaging technique is applicable to seismographs with long recording time. The earth model is assumed to be 1-D with continuous variations vertically in velocity and attenuation, and the imaging algorithm is implemented easily and efficiently in the frequency-wavenumber domain. Although such a 1-D model suits mostly to the cases in lithospheric-scale regional geophysics, it is sometimes also suitable to the exploration seismic studies. The method is demonstrated using a real data example from exploration seismics with an attempt to recover a target reflection underneath a group of strong coal-seam reflections.

show abstract

Quantifying the effectiveness of stabilized inverseQfiltering

Cited by 90 publications

References 22 publications

Seismic wave attenuation in the uppermost glacier ice of Storglaciären, Sweden

Seismic wave attenuation in the uppermost glacier ice of Storglaciären, Sweden

Stable Q analysis on vertical seismic profiling data

Seismic migration with inverse Q filtering

Contact Info

Product

Resources

About