A Dispersive Processing of Borehole Guided Wave Data Using Multitask Physics-Informed Deep Learning (opens in new tab)

Dispersive processing of borehole acoustic logging data is essential for accurate evaluation of subsurface formation velocities, which directly impact reservoir characterization and geophysical interpretation. Traditional coherence-based techniques fail to address the dispersive nature of guided waves, leading to underestimated velocities, while model-based inversion requires strict parameter assumptions that limit applicability in complex formations. To overcome these challenges, we propose ...