The reliability of information obtained from surface seismic measurements is an important factor to be considered before one attempts to depth migrate or invert seismic data. The uniqueness of the retrieved model can only be achieved if the observed seismic data contain information on all the wavelengths of the Earth structure. In this study we investigated the sensitivity of model parameters obtainable from elastic multi-offset seismic data. We perturbed a background model, which was defined in terms of longitudinal and shear velocities and density, with quasi-sinusoidal perturbations. The reference and perturbed synthetic seismograms were calculated in the intercept time and slowness (7-p) domain. The seismic waveform misfit between these...
International audienceBuilding high-resolution models of several physical properties of the subsurfa...
International audienceNonlinear elastic waveform inversion has advanced to the point where it is now...
Full waveform inversion suffers from local minima, due to a lack of low frequencies in the data. A r...
The estimation of the elastic properties of the crust from surface seismic recordings is of great im...
International audienceData from 53 shot records collected in a conventional, land, seismic reflectio...
International audienceFull-waveform inversion is re-emerging as a powerful data-fitting procedure fo...
High-resolution seismic data are typically analyzed using either migration-style reflection data pro...
Reflection seismologists illuminate the subsurface by introducing energy into the ground. These prop...
International audienceThe aim of inverting seismic waveforms is to obtain the “best” earth model. Th...
The extraction of elastic parameters from seismic reflection data with the state-of-the-art indicate...
International audienceMarine reflection seismic data inversion is a compute-intensive process, espec...
International audienceBuilding high-resolution models of several physical properties of the subsurfa...
Sensitivity analysis with synthetic models is widely used in seismic tomography as a means for asses...
Seismic data contain information regarding the phase and amplitude of reflected events. Variations i...
We investigate the implications of lateral variations in the topography of global seismic discontinu...
International audienceBuilding high-resolution models of several physical properties of the subsurfa...
International audienceNonlinear elastic waveform inversion has advanced to the point where it is now...
Full waveform inversion suffers from local minima, due to a lack of low frequencies in the data. A r...
The estimation of the elastic properties of the crust from surface seismic recordings is of great im...
International audienceData from 53 shot records collected in a conventional, land, seismic reflectio...
International audienceFull-waveform inversion is re-emerging as a powerful data-fitting procedure fo...
High-resolution seismic data are typically analyzed using either migration-style reflection data pro...
Reflection seismologists illuminate the subsurface by introducing energy into the ground. These prop...
International audienceThe aim of inverting seismic waveforms is to obtain the “best” earth model. Th...
The extraction of elastic parameters from seismic reflection data with the state-of-the-art indicate...
International audienceMarine reflection seismic data inversion is a compute-intensive process, espec...
International audienceBuilding high-resolution models of several physical properties of the subsurfa...
Sensitivity analysis with synthetic models is widely used in seismic tomography as a means for asses...
Seismic data contain information regarding the phase and amplitude of reflected events. Variations i...
We investigate the implications of lateral variations in the topography of global seismic discontinu...
International audienceBuilding high-resolution models of several physical properties of the subsurfa...
International audienceNonlinear elastic waveform inversion has advanced to the point where it is now...
Full waveform inversion suffers from local minima, due to a lack of low frequencies in the data. A r...