Biot‐Rayleigh theory of wave propagation in double‐porosity media
J Ba, JM Carcione, JX Nie - Journal of Geophysical Research …, 2011 - Wiley Online Library
We derive the equations of motion of a double‐porosity medium based on Biot's theory of
poroelasticity and on a generalization of Rayleigh's theory of fluid collapse to the porous …
poroelasticity and on a generalization of Rayleigh's theory of fluid collapse to the porous …
Committee neural networks for porosity and permeability prediction from well logs
A Bhatt, HB Helle - Geophysical prospecting, 2002 - earthdoc.org
Neural computing has moved beyond simple demonstration to more significant applications.
Encouraged by recent developments in artificial neural network (ANN) modelling …
Encouraged by recent developments in artificial neural network (ANN) modelling …
White's model for wave propagation in partially saturated rocks: Comparison with poroelastic numerical experiments
JM Carcione, HB Helle, NH Pham - Geophysics, 2003 - pubs.geoscienceworld.org
We use a poroelastic modeling algorithm to compute numerical experiments of wave
propagation in White's partial saturation model. The results are then compared to the …
propagation in White's partial saturation model. The results are then compared to the …
Source-rock seismic-velocity models: Gassmann versus Backus
Source rocks are described by a porous transversely isotropic medium composed of illite
and organic matter (kerogen, oil, and gas). The bulk modulus of the oil/gas mixture is …
and organic matter (kerogen, oil, and gas). The bulk modulus of the oil/gas mixture is …
Permeability prediction using logging data from tight reservoirs based on deep neural networks
Z Fang, J Ba, JM Carcione, F **ong, L Gao - Journal of Applied Geophysics, 2024 - Elsevier
Permeability is a critical parameter for evaluating reservoir properties, and accurate
prediction is an important basis for identifying high-quality reservoirs and geological …
prediction is an important basis for identifying high-quality reservoirs and geological …
Data‐driven design of wave‐propagation models for shale‐oil reservoirs based on machine learning
F **ong, J Ba, D Gei… - Journal of Geophysical …, 2021 - Wiley Online Library
The exploration and exploitation of shale oil is an important aspect in the oil industry.
Seismic properties and well‐log data are essential to establish wave‐propagation models …
Seismic properties and well‐log data are essential to establish wave‐propagation models …
Modeling of acoustic wave dissipation in gas hydrate–bearing sediments
G Guerin, D Goldberg - Geochemistry, Geophysics …, 2005 - Wiley Online Library
Recent sonic and seismic data in gas hydrate–bearing sediments have indicated strong
waveform attenuation associated with a velocity increase, in apparent contradiction with …
waveform attenuation associated with a velocity increase, in apparent contradiction with …
Angular and frequency-dependent wave velocity and attenuation in fractured porous media
Wave-induced fluid flow generates a dominant attenuation mechanism in porous media. It
consists of energy loss due to P-wave conversion to Biot (diffusive) modes at mesoscopic …
consists of energy loss due to P-wave conversion to Biot (diffusive) modes at mesoscopic …
The acoustic signature of fluid flow in complex porous media
M Jakobsen, TA Johansen, C McCann - Journal of applied Geophysics, 2003 - Elsevier
Effective medium approximations for the frequency-dependent and complex-valued effective
stiffness tensors of cracked/porous rocks with multiple solid constituents are developed on …
stiffness tensors of cracked/porous rocks with multiple solid constituents are developed on …
Acoustic and electromagnetic properties of soils saturated with salt water and NAPL
Electrical, seismic, and electromagnetic methods can be used for noninvasive determination
of subsurface physical and chemical properties. In particular, we consider the evaluation of …
of subsurface physical and chemical properties. In particular, we consider the evaluation of …