DI005-0018
Probabilistic inversion of shear-wave splitting for D'' anisotropy
Abstract:
To properly image such azimuthal anisotropy requires combining observations from multiple shear-wave phases at difference azimuths and incidence angles. This is difficult to treat robustly in conventional shear-wave splitting studies and forward modelling exercises. An additional challenge in studying D'' is solving a two-layer seismic anisotropy problem imposed by the significant seismic anisotropy in the upper mantle, whilst preserving directional information. Current approaches, such as differential shear-wave splitting or splitting intensity tomography, offer partial solutions, but cannot fully resolve D'' anisotropy.
Here, we present a method for the direct probabilistic inversion of shear-wave data for seismic anisotropy. We divide D'' into a set of geographical domains and search for the most likely orientation and strength of an elastic tensor representing each domain using a Metropolis-Hastings Markov Chain Monte Carlo sampler. This allows us to easily combine data from multiple shear-wave phases and incorporate results from mineral physics to invert for, for example, flow geometry.
We demonstrate our approach on ScS, SKS and SKKS waveform data for a region of D'' beneath the Eastern Pacific. Our results show clear evidence for azimuthal seismic anisotropy which we evaluate with different candidate mechanisms for D'' anisotropy including the lattice-preferred orientation of post-perovskite and the shape-preferred orientation of melt inclusions.