Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples

D Grana, L Azevedo, L De Figueiredo, P Connolly… - Geophysics, 2022 - library.seg.org
The physics that describes the seismic response of an interval of saturated porous rocks with
known petrophysical properties is relatively well understood and includes rock physics …

Seismic wave attenuation and dispersion resulting from wave-induced flow in porous rocks—A review

TM Müller, B Gurevich, M Lebedev - Geophysics, 2010 - library.seg.org
One major cause of elastic wave attenuation in heterogeneous porous media is wave-
induced flow of the pore fluid between heterogeneities of various scales. It is believed that …

Seismic inversion for reservoir properties combining statistical rock physics and geostatistics: A review

M Bosch, T Mukerji, EF Gonzalez - Geophysics, 2010 - library.seg.org
There are various approaches for quantitative estimation of reservoir properties from seismic
inversion. A general Bayesian formulation for the inverse problem can be implemented in …

Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion

D Grana, E Della Rossa - Geophysics, 2010 - library.seg.org
A joint estimation of petrophysical properties is proposed that combines statistical rock
physics and Bayesian seismic inversion. Because elastic attributes are correlated with …

Bayesian linearized rock-physics inversion

D Grana - Geophysics, 2016 - library.seg.org
The estimation of rock and fluid properties from seismic attributes is an inverse problem.
Rock-physics modeling provides physical relations to link elastic and petrophysical …

Petrophysical properties prediction from prestack seismic data using convolutional neural networks

V Das, T Mukerji - Geophysics, 2020 - library.seg.org
We have built convolutional neural networks (CNNs) to obtain petrophysical properties in
the depth domain from prestack seismic data in the time domain. We compare two workflows …

Porosity and permeability prediction using a transformer and periodic long short-term network

L Yang, S Fomel, S Wang, X Chen, W Chen… - …, 2023 - pubs.geoscienceworld.org
Effective reservoir parameter prediction is important for subsurface characterization and
understanding fluid migration. However, conventional methods for obtaining porosity and …

Inversion of time‐lapse seismic reservoir monitoring data using CycleGAN: A deep learning‐based approach for estimating dynamic reservoir property changes

Z Zhong, AY Sun, X Wu - Journal of Geophysical Research …, 2020 - Wiley Online Library
Carbon capture and storage is being pursued globally as a geoengineering measure for
reducing the emission of anthropogenic into the atmosphere. Comprehensive monitoring …

Hierarchical Bayesian lithology/fluid prediction: A North Sea case study

K Rimstad, P Avseth, H Omre - Geophysics, 2012 - library.seg.org
Seismic 3D amplitude variation with offset (AVO) data from the Alvheim field in the North Sea
are inverted into lithology/fluid classes, elastic properties, and porosity. Lithology/fluid maps …

Joint facies and reservoir properties inversion

D Grana - Geophysics, 2018 - library.seg.org
ABSTRACT I have developed a joint inversion of seismic data for the simultaneous
estimation of facies and reservoir properties, such as porosity, mineralogy, and saturation …