High-resolution velocity models generated by full-waveform inversion (FWI) can be effectively used in seismic reservoir characterization. However, FWI in elastic anisotropic media is hampered by the nonlinearity of inversion and parameter trade-offs. Here, we propose a robust way to constrain the inversion workflow using per-facies rock-physics relationships derived from borehole information (well logs). The advantages of the facies-based FWI are demonstrated on a 2D elastic TTI (transversely isotropic with a tilted symmetry axis) model with substantial structural complexity. In particular, the tests show that our algorithm improves the spatial resolution of the inverted medium parameters without using ultra-low-frequency data required by conventional FWI.
Singh, S., Tsvankin, I., & Zabihi Naeini, E. (2020). Elastic Full-Waveform Inversion with Geologic Information for Tilted TI Media. 82nd EAGE Annual Conference & Exhibition. doi:10.3997/2214-4609.202010224
This work was supported by the Consortium Project on Seismic Inverse Methods for Complex Structures at the Center for Wave Phenomena (CWP) and competitive research funding from the King Abdullah University of Science and Technology (KAUST). We thank Vladimir Li from Ikon Science, UK, for his help with image-guided interpolation. We also thank the members of the A(anisotropy)-Team at the Center for Wave Phenomena (CWP) for useful discussions.