Tackling data challenges in land FWI: A case study

Land data constraints such as short offsets and unknown source wavelets limit the accuracy of Full Waveform Inversion (FWI) results. In this study, we illustrate our approach to these challenges. We employed a source-independent objective function and pseudo-reflectivity on Reflection Full Waveform Inversion (RFWI) to generate the synthetic data. We demonstrate the effectiveness of this approach through two onshore case studies, where significant improvements to the velocity and seismic imaging were achieved.