Vector acoustic full waveform inversion: taking advantage of de-aliasing and receiver ghosts

Abstract

Data acquisition is changing to incorporate more components of the recorded wavefield. An example of this is so-called vector data in which both the pressure and particle velocity are recorded in marine data. We present a vector acoustic full waveform inversion (VAFWI) method. We demonstrate the connection of the VAFWI adjoint operator with inverse wavefield extrapolation and show that under the assumption of a plane wave propagating towards an infinite flat recording surface at normal incidence, the VAFWI adjoint is equivalent to inverse extrapolation of the normal derivative of the recorded field. Thus, unlike the conventional FWI adjoint, the VAFWI adjoint is an inverse wavefield extrapolation operator. If these assumptions are violated, this equivalence relation is no longer true and becomes an approximation. We argue that this has implications in the handling of receiver ghosts by the two inversion methods: in the VAFWI adjoint, the receiver ghosts interact constructively with the back-propagated reflected field. We show numerically that the de-aliasing property of vector data extends to VAFWI, which results in fewer artefacts in VAFWI images compared to conventional FWI when data are spatially undersampled and aliased. Additional information about the subsurface contained in properly handled receiver ghosts can be utilized to achieve further VAFWI image improvement.

Joint towed streamer and ocean-bottom-seismometer data multi-parameter full waveform inversion in acoustic-elastic coupled media

“…In general, FWI requires dense, fully sampled data for migration stacking. The under-sampled data, in turn, causes the inversion to fall into a system of underdetermined solutions, causing sharp acquisition footprints and layer discontinuities in the inversion results (Zheglova and Malcolm, 2019;Faucher et al, 2020).…”