Joint Full Waveform Inversion of Surface, VSP and Crosswell Seismic Data - A 2D Acoustic Case Study

Full waveform inversion (FWI) is a challenging data-fitting technique, based on full wavefield propagation and a nonlinear inversion algorithm, to obtain an accurate model of underground media. In this paper, we propose a joint full waveform inversion method for surface, VSP and crosswell seismic data. Both forward and backward wave propagations are calculated in the space-frequency domain, and the Gauss-Newton method is used for accelerating the convergence rate. Moreover, to improve computational efficiency and accuracy, a strategy of multi-scale inversion is introduced. We implement this method on the 2D Marmousi data and compare the inversion results for different scales and acquisition geometries. It shows a better solution and efficiency than that of the conventional method.