Maximizing the Contribution of Reflections by Dynamic Resolution Time-Lag Full-Waveform Inversion

Getting the full vaue of reflected waves is crucial for successful Full-Waveform Inversion (FWI), especially in seismic data with short offset coverage. This article introduces Dynamic Resolution Time-Lag FWI (DR-TLFWI), a method designed to strengthen the tomographic term in the FWI gradient by applying dynamic weighting based on illumination volume during each iteration. By using a time-lag cost function, the approach mitigates cycle-skipping and balances low- and high-wave number velocity updates, improving subsurface imaging beyond the reach of diving waves. Field data results show enhanced velocity models, clearer structural delineation, and better reservoir interpretation.