oa Keynote Presentation: Design of Seismic Modeling Engines and Optimization Algorithms for FWI Applications

Different challenges of the full waveform inversion (FWI) will be encountered as we need to move away from acoustic approximation to improved elastic modeling. Quantitative high-resolution imaging could be achieved through efficient gradient estimation of the cost function but also through Hessian influence estimation which is crucial for multiparameter reconstruction. We propose an analysis of the different steps required to achieve the computation of these ingredients: their complexities, the algorithm organization bringing the attention to issues for performing the medium reconstruction.