A nonlinear inversion for the velocity background and perturbation models
KAUST DepartmentPhysical Sciences and Engineering (PSE) Division
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AbstractReflected waveform inversion (RWI) provides a method to reduce the nonlinearity of the standard full waveform inversion (FWI) by inverting for the single scattered wavefield obtained using an image. However, current RWI methods usually neglect diving waves, which is an important source of information for extracting the long wavelength components of the velocity model. Thus, we propose a new optimization problem through breaking the velocity model into the background and the perturbation in the wave equation directly. In this case, the perturbed model is no longer the single scattering model, but includes all scattering. We optimize both components simultaneously, and thus, the objective function is nonlinear with respect to both the background and perturbation. The new introduced w can absorb the non-smooth update of background naturally. Application to the Marmousi model with frequencies that start at 5 Hz shows that this method can converge to the accurate velocity starting from a linearly increasing initial velocity. Application to the SEG2014 demonstrates the versatility of the approach.
CitationZedong Wu and Tariq Alkhalifah (2015) A nonlinear inversion for the velocity background and perturbation models. SEG Technical Program Expanded Abstracts 2015: pp. 1292-1296. doi: 10.1190/segam2015-5846177.1
PublisherSociety of Exploration Geophysicists