The acoustic signature of fluid flow in complex porous media

Jakobsen, Morten; Johansen, Tor Arne; McCann, C.

doi:10.1016/j.jappgeo.2002.11.004

Cited by 102 publications

(140 citation statements)

References 78 publications

(184 reference statements)

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“…The t-matrix for a cavity of type r fully saturated with a homogenous fluid can be written as (Jakobsen et al, 2003b;Jakobsen and Chapman, 2009; Appendix-A)…”

Section: The Effective Viscoelastic Stiffness Tensormentioning

confidence: 99%

“…However, following Hudson et al, 1996, Tod, 2001, Jakobsen et al, 2003band Jakobsen and Chapman (2009, we eliminate the dependency of * C on the effective wave vector * k by using the approximation…”

Section: The Effective Viscoelastic Stiffness Tensormentioning

confidence: 99%

“…But first we need to discuss how to obtain real-valued phase velocities and attenuation spectra from the frequency-dependent and complex-valued effective stiffness tensor * C . The real-valued phase velocities and attenuation factors can be obtained by inserting the effective stiffness tensor * C into the Christoffel equation (see appendix-C), which can be solved by computing the eigenvectors and eigenvalues (Jakobsen et al, 2003b;Carcione, 1995Carcione, , 2007. More detailed information about the plane waves in viscoelastic anisotropic media can be obtained from Cerveny and Psencik (2005).…”

Section: The Non-linear Forward Modelmentioning

confidence: 99%

“…We use the viscoelastic T-matrix approach of Jakobsen et al (2003b) and Jakobsen and Chapman (2009), which is the most general model among the inclusion models, because it allows for non-dilute concentration of cavities characterized by different shapes, orientations and spatial distributions (see Gurevich et al, 2009;Müller et al, 2010). In addition to that the theory of Jakobsen and Chapman (2009) takes into account global and squirt flow in a consistent manner.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Seismic Characterization of Reservoirs with Multiple Fracture Sets Using Velocity and Attenuation Anisotropy Data

Ali¹,

Jakobsen²

2011

73rd EAGE Conference and Exhibition Incorporating SPE EUROPEC 2011

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Knowledge about the spatial distribution of the fracture density and the azimuthal fracture orientation can greatly help in optimizing production from fractured reservoirs.Frequency-dependent seismic velocity and attenuation anisotropy data contain information about the fractures present in the reservoir. In this study, we use the measurements of velocity and attenuation anisotropy data corresponding to different seismic frequencies and azimuths to infer information about the multiple fracture sets present in the reservoir. We consider a reservoir model with two sets of vertical fractures characterized by unknown azimuthal fracture orientations and fracture densities. Frequency-dependent seismic velocity and attenuation anisotropy data is computed using the effective viscoelastic stiffness tensor and solving the Christoffel equation. A Bayesian inversion method is then applied to measurements of velocity and attenuation anisotropy data corresponding to different seismic frequencies and azimuth to estimate the azimuthal fracture orientations and the fracture densities, as well as their uncertainties. Our numerical examples suggest that velocity anisotropy data alone cannot recover the unknown fracture parameters. However, an improved estimation of the unknown fracture parameters can be obtained by joint inversion of velocity and attenuation anisotropy data.2

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“…The t-matrix for a cavity of type r fully saturated with a homogenous fluid can be written as (Jakobsen et al, 2003b;Jakobsen and Chapman, 2009; Appendix-A)…”

Section: The Effective Viscoelastic Stiffness Tensormentioning

confidence: 99%

Section: The Effective Viscoelastic Stiffness Tensormentioning

confidence: 99%

Section: The Non-linear Forward Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Seismic Characterization of Reservoirs with Multiple Fracture Sets Using Velocity and Attenuation Anisotropy Data

Ali¹,

Jakobsen²

2011

73rd EAGE Conference and Exhibition Incorporating SPE EUROPEC 2011

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“…It simulates a high-frequency saturated rock behavior (no fluid flow) and is therefore considered appropriate for studying ultrasonic laboratory conditions. More sophisticated methods for taking into account fluid flow in between pores like the T-matrix approach [24,32,33] can also be considered. The T-matrix approach takes into account anisotropy, global and local fluid-flow effects and various degrees of connectivity between pores.…”

Section: Rock Physics Modelingmentioning

confidence: 99%

Rock Physics Interpolation Used for Velocity Modeling of Chalks: Ontong Java Plateau Example

Saberi¹

2010

TOGEOJ

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Chalks are pelagic carbonate sediments that are deposited in deep-water environments. Their elastic behaviour is controlled by a combination of depositional conditions and subsequent diagenesis. In this paper, we incorporate geological information into rock physics modeling by constraining the pore structure (aspect ratio) variability. The strategy is to define a pore-model that reflects lithology, porosity and velocity. Then, a background velocity cube is constructed based on information about the lithologies and the velocity data from some reference wells. This approach may be further used to obtain a gridded velocity model of a reservoir sequence.Well and core data from 14 wells on the Ontong Java Plateau, obtained through the deep sea drilling program and the ocean drilling program, are used to examine this approach. Velocity predictions based on the pore-models derived from six reference wells in the area, show a good correlation with measured velocities at some blind wells. This indicates a homogeneous and predictable pore structure in the area.

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Effective Medium Modeling of CO2-Sequestered Carbonate Reservoir

Ghosh

Sen

2019

Petro-Physics and Rock Physics of Carbonate Reservoirs

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The acoustic signature of fluid flow in complex porous media

Cited by 102 publications

References 78 publications

Seismic Characterization of Reservoirs with Multiple Fracture Sets Using Velocity and Attenuation Anisotropy Data

Seismic Characterization of Reservoirs with Multiple Fracture Sets Using Velocity and Attenuation Anisotropy Data

Rock Physics Interpolation Used for Velocity Modeling of Chalks: Ontong Java Plateau Example

Effective Medium Modeling of CO2-Sequestered Carbonate Reservoir

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