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 …

Fast Bayesian linearized inversion with an efficient dimension reduction strategy

B Yu, Y Shi, H Zhou, Y Cao, N Wang… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
Bayesian linearized inversion (BLI) stands out as an exceptional stochastic inversion
method in the realms of geophysics and remote sensing. It excels in estimating inversion …

Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder

M Liu, D Grana - Advances in Water Resources, 2020‏ - Elsevier
Carbon dioxide sequestration in deep saline aquifers requires accurate and precise
methods to monitor carbon capture and storage and detect leakage risks. The assessment of …

Uncertainty quantification in stochastic inversion with dimensionality reduction using variational autoencoder

M Liu, D Grana, LP de Figueiredo - Geophysics, 2022‏ - pubs.geoscienceworld.org
Estimating rock and fluid properties in the subsurface from geophysical measurements is a
computationally and memory-intensive inverse problem. For nonlinear problems with non …

Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework

M Liu, D Grana - Computers & Geosciences, 2019‏ - Elsevier
Geostatistical seismic inversion is one of emerging technologies in reservoir
characterization and reservoir uncertainty quantification. However, the challenge of …

Local uncertainty quantification for 3-D time-domain full-waveform inversion with ensemble Kalman filters: application to a North Sea OBC data set

A Hoffmann, R Brossier, L Métivier… - Geophysical Journal …, 2024‏ - academic.oup.com
Full-waveform inversion (FWI) has emerged as the state-of-the art high resolution seismic
imaging technique, both in seismology for global and regional scale imaging and in the …

Feasibility of seismic time-lapse monitoring of CO2 with rock physics parametrized full waveform inversion

Q Hu, D Grana, KA Innanen - Geophysical Journal International, 2023‏ - academic.oup.com
Carbon capture and storage is an important technology for greenhouse gas mitigation.
Monitoring of CO2 storage should, in addition to locating the plume, provide quantitative …

Ensemble-based uncertainty estimation in full waveform inversion

J Thurin, R Brossier, L Métivier - Geophysical Journal …, 2019‏ - academic.oup.com
Uncertainty estimation and quality control are critically missing in most geophysical
tomographic applications. The few solutions to cope with that issue are often left out in …

Time-lapse seismic history matching with an iterative ensemble smoother and deep convolutional autoencoder

M Liu, D Grana - Geophysics, 2020‏ - pubs.geoscienceworld.org
We have developed a time-lapse seismic history matching framework to assimilate
production data and time-lapse seismic data for the prediction of static reservoir models. An …

Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection

S Tveit, T Mannseth, J Park, G Sauvin… - Computational …, 2020‏ - Springer
A sequential inversion methodology for combining geophysical data types of different
resolutions is developed and applied to monitoring of large-scale CO 2 injection. The …