A high-order total-variation regularisation method for full-waveform inversion

Abstract Full-waveform inversion (FWI) is among the most effective methods of velocity modelling in seismic exploration. However, because strong nonlinearity FWI, if target geobody not sharply different from that its surroundings, total variation (TV) model will be sufficiently sparse. To alleviate this issue, we propose a novel TV-regularised FWI method can consider sparsity high-order regularisation operator and consequently improve stability process produce more focused boundaries. We use split-Bregman algorithm to solve optimisation problem while building objective function. show stable updates obtained by algorithm, which proved reliable numerical tests. These tests also proposed converges faster, domain better than conventional effectively identify layer boundaries with weak contrast. conclude based on TV robust accurate.