2017
DOI: 10.1016/j.jappgeo.2016.11.010
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Estimation of seismic quality factor: Artificial neural networks and current approaches

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Cited by 11 publications
(7 citation statements)
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“…Seismic attenuation has been shown to be variable even when there are no discernible changes in seismic velocity or density (Yıldırım et al, ) and so provides independent information about subsurface heterogeneity. Estimating attenuation is therefore useful in a number of settings: for example, in engineering when analyzing ground conditions and strength, Q can give an indication of soil saturation, the effective stress state, inherent and stress induced anisotropy, and cementation (Oelze et al, ; Priest et al, ; Rodríguez‐Pradilla, ; Xia, ).…”
Section: Introductionmentioning
confidence: 99%
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“…Seismic attenuation has been shown to be variable even when there are no discernible changes in seismic velocity or density (Yıldırım et al, ) and so provides independent information about subsurface heterogeneity. Estimating attenuation is therefore useful in a number of settings: for example, in engineering when analyzing ground conditions and strength, Q can give an indication of soil saturation, the effective stress state, inherent and stress induced anisotropy, and cementation (Oelze et al, ; Priest et al, ; Rodríguez‐Pradilla, ; Xia, ).…”
Section: Introductionmentioning
confidence: 99%
“…It can be used as an indicator of the presence of hydrocarbons (Carcione, ; Dasgupta & Clark, ; Dvorkin & Mavko, ) or for correcting seismic data to improve resolution when using standard imaging techniques (Zhang & Ulrych, ). Q is particularly useful in the characterization of rock and fluid properties and is sensitive to a number of factors, such as disruption in the medium due to faults, fractures, and weathering, which all act to reduce Q (Rodríguez‐Pradilla, ; Rubino et al, ), porosity and pore fluid parameters, temperature, density, pressure, lithology, and others (Gei & Carcione, ; Prasad & Manghnani, ; Quan & Harris, ; Sain et al, ; Yıldırım et al, ). When used in addition to seismic velocity analysis, Q can provide complimentary information on rock properties (Ekanem et al, ; E. Liu et al, ; Maultzsch et al, ; Quan & Harris, ), and Prasad and Manghnani () found that Q was more sensitive than compressional wave seismic velocity to effects of pore pressure and pore space deformation.…”
Section: Introductionmentioning
confidence: 99%
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“…Therefore, relatively low cost and noninvasive geophysical methods provide new deals for promptly survey of large areas and produce detailed information about the landslide internal structure [8][9][10]. Vertical electrical sounding (VES/one-dimensional resistivity) and seismic refraction from field geophysical exploration methods are widely used to investigate the landslide area [11][12][13][14][15][16]. The success of the resistivity method is connected directly to the electrical resistivity contrast of different lithological units (clay, marl, limestone and etc [13,[17][18][19].…”
Section: Introductionmentioning
confidence: 99%