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 full-waveform inversion (FWI) for imaging Earth's interior was introduced in the late
1970s. Its ultimate goal is to use all of the information in a seismogram to understand the …

Full waveform inversion (FWI) has the potential to provide high-resolution subsurface model
estimations. However, due to limitations in observation, eg, regional noise, limited aperture …

Subsurface velocities within the Earth often contain piecewise-constant structures with sharp
interfaces. Acoustic-and elastic-waveform inversion (AEWI) usually produces smoothed …

Despite recent developments in improved acquisition, seismic data often remain
undersampled along source and receiver coordinates, resulting in incomplete data for key …

Compressive sensing is a sampling method which provides a new approach to efficient
signal compression and recovery by exploiting the fact that a sparse signal can be suitably …

Full waveform inversion (FWI) is a powerful method for reconstructing subsurface
parameters from local measurements of the seismic wavefield. This method consists in …

Simultaneous-source method is usually adopted, as one of the most efficient ways, to reduce
the computation cost of full waveform inversion (FWI). Unfortunately, this method is facing …

Solving multiphysics-based inverse problems for geological carbon storage monitoring can
be challenging when multimodal time-lapse data are expensive to collect and costly to …

Full waveform inversion (FWI) of 3-D data sets has recently been possible thanks to the
development of high performance computing. However, FWI remains a computationally …