Up-down separation and debubble using a multicomponent non-stationary prediction-error filter
Kaiwen Wang, Joseph Jennings, Jon F. Claerbout · 2019
Marine data recorded on ocean-bottom nodes (OBN) benefit greatly from bubble removal and wavefield decomposition. The prediction-error filter (PEF) method is known to work well on single channel bubble removal. In this study, we extend the single component PEF to apply it on multicomponent recordings for both bubble removal and wavefield separation. We test our method on a synthetic example and then apply it on real data. The results show that our method performs well in bubble removal and wavefield separation for upgoing and downgoing components. Our method does not rely on the stationary statistics assumption and requires little prior knowledge of the physical model. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 1:50 PM Presentation Start Time: 2:15 PM Location: 305 Presentation Type: Oral