Modeling seismic wave propagation in granular rock

Nihei, Kurt T.; Cook, N.G.W.; Meyer, Laurid

doi:10.1190/1.1822177

Cited by 13 publications

(12 citation statements)

References 5 publications

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“…Many theories exist to incorporate the great variety of mechanisms that can influence seismic wave attenuation. For porous, granular, sedimentary rocks, the generally accepted mechanisms may be grouped into three broad categories: scattering attenuation, fluid-flow attenuation, and fluid-matrix attenuation [Nihei, 1992] Unlike the seismic amplitude data, the Oyster radar amplitude radiation patterns and source-receiver coupling appeared to be consistent, and thus inversion was performed on both the picked travel times and amplitudes using straight-ray algebraic reconstruction techniques [Peterson et al, 1985;Peterson, 2001] to yield electromagnetic wave velocity and attenuation estimates for each cellblock along all tomographic profiles.…”

Section: Introductionmentioning

confidence: 99%

Estimating the hydraulic conductivity at the south oyster site from geophysical tomographic data using Bayesian Techniques based on the normal linear regression model

Chen¹,

Hubbard²,

Rubin³

2001

Water Resources Research

147

123

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Abstract. This study explores the use of ground penetrating radar (GPR) tomographic velocity, GPR tomographic attenuation, and seismic tomographic velocity for hydraulic conductivity estimation at the South Oyster Site, using a Bayesian framework. Since sitespecific relations between hydraulic conductivity and geophysical properties are often nonlinear and subject to a large degree of uncertainty such as at this site, we developed a normal linear regression model that allows exploring these relationships systematically.Although the log-conductivity displays a small variation (0 -2 = 0.30) and the geophysical data vary over only a small range, results indicate that the geophysical data improve the estimates of the hydraulic conductivity. The improvement is the most significant where prior information is limited. Among the geophysical data, GPR and seismic velocity are more useful than GPR attenuation.

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Section: Introductionmentioning

confidence: 99%

Estimating the hydraulic conductivity at the south oyster site from geophysical tomographic data using Bayesian Techniques based on the normal linear regression model

Chen¹,

Hubbard²,

Rubin³

2001

Water Resources Research

147

123

View full text Add to dashboard Cite

show abstract

“…A two-dimensional grain packing model using the boundary element method has been recently developed (Nihei, 1992). This model provides a fully dynamic solution for two dimensional seismic wave propagation within the modeled system.…”

Section: Boundary Element Methodsmentioning

confidence: 99%

“…Recent studies have emphasized the importance of grain contacts and cementation (Nihei, 1992;Dvorkin et. al.…”

Section: Laboratory Measurements Of Attenuationmentioning

confidence: 99%

“…The importance of contacts was confiied by pore isolation studies conducted by Nihei (1992). Molten sulfur and Wood's metal were introduced into the pore space of Berea Sandstone samples and then allowed to solidify in pace to isolate the effects of pores and grain contacts.…”

Section: Laboratory Measurements Of Attenuationmentioning

confidence: 99%

“…Reflections from heterogeneities remove energy from the direct seismic wave and redistribute this energy into scattered waves that appear in the coda (Nihei, 1992). In granular media, these heterogeneities can range in scale from pores, grain contacts, and microcracks to vugs, joints, fractures, faults, and sedimentary layers.…”

Section: Scattering Attenuationmentioning

confidence: 99%

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