On the role of density and attenuation in three-dimensional multiparameter viscoacoustic VTI frequency-domain FWI: An OBC case study from the North Sea
S Operto, A Miniussi - Geophysical Journal International, 2018 - academic.oup.com
D frequency-domain full waveform inversion (FWI) is applied on North Sea wide-azimuth
ocean-bottom cable data at low frequencies (≤ 10 Hz) to jointly update vertical wave speed …
ocean-bottom cable data at low frequencies (≤ 10 Hz) to jointly update vertical wave speed …
Elastic least-squares reverse time migration via linearized elastic full-waveform inversion with pseudo-Hessian preconditioning
Time-domain elastic least-squares reverse time migration (LSRTM) is formulated as a
linearized elastic full-waveform inversion problem. The elastic Born approximation and …
linearized elastic full-waveform inversion problem. The elastic Born approximation and …
Estimation of reservoir porosity based on seismic inversion results using deep learning methods
R Feng - Journal of Natural Gas Science and Engineering, 2020 - Elsevier
Location limitation of logged wells restricts the porosity estimation across the whole reservoir
target, whereas seismic data are always collected to cover larger areas. In this paper …
target, whereas seismic data are always collected to cover larger areas. In this paper …
Multiparameter full-waveform inversion of 3D ocean-bottom cable data from the Valhall field
Full-waveform inversion (FWI) applications on 3D ocean-bottom cable (OBC) data from the
Valhall oil field in the North Sea have demonstrated the importance of appropriately …
Valhall oil field in the North Sea have demonstrated the importance of appropriately …
Nonrepeatability effects on time-lapse 4D seismic full-waveform inversion for ocean-bottom node data
Full-waveform inversion (FWI) can be applied to time-lapse (4D) seismic data for subsurface
reservoir monitoring. However, nonrepeatability (NR) issues can contaminate the data and …
reservoir monitoring. However, nonrepeatability (NR) issues can contaminate the data and …
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators
Seismic monitoring of carbon storage sequestration is a challenging problem involving both
fluid-flow physics and wave physics. Additionally, monitoring usually requires the solvers for …
fluid-flow physics and wave physics. Additionally, monitoring usually requires the solvers for …
Understanding subsurface fracture evolution dynamics using time‐lapse full waveform inversion of continuous active‐source seismic monitoring data
Predicting the behavior, geometry, and flow properties of subsurface fractures remains a
challenging problem. Seismic models that can characterize fractures usually suffer from low …
challenging problem. Seismic models that can characterize fractures usually suffer from low …
Weighted-average time-lapse seismic full-waveform inversion
As seismic data can contain information over a large spatial area and are sensitive to
changes in the properties of the subsurface, seismic imaging has become the standard …
changes in the properties of the subsurface, seismic imaging has become the standard …
Towards real-time monitoring: Data assimilated time-lapse full waveform inversion for seismic velocity and uncertainty estimation
Rapid development of time-lapse seismic monitoring instrumentations has made it possible
to collect dense time-lapse data for tomographically retrieving time-lapse (even continuous) …
to collect dense time-lapse data for tomographically retrieving time-lapse (even continuous) …
Velocity model building by waveform inversion of early arrivals and reflections: A 2D case study with gas-cloud effects
Joint full-waveform inversion (JFWI) combines reflection waveform inversion (RWI) and early-
arrival waveform inversion to build a large-scale velocity model of the subsurface from long …
arrival waveform inversion to build a large-scale velocity model of the subsurface from long …